Template-Type: ReDIF-Article 1.0 Author-Name: Madhu Ruhil Author-X-Name-First: Madhu Author-X-Name-Last: Ruhil Author-Name: Latika Malhotra Author-X-Name-First: Latika Author-X-Name-Last: Malhotra Author-Name: Tara Prasad Upadhyaya Author-X-Name-First: Tara Prasad Author-X-Name-Last: Upadhyaya Author-Name: Aarti Dawra Author-X-Name-First: Aarti Author-X-Name-Last: Dawra Title: Pecking order approach vs. trade-off approach: multifaceted testing of appropriateness for the financing pattern of Indian automobile industry Abstract: This paper investigates the impact of determinants of financial structure on capital structure in the Indian automobile sector post-financial crisis. The paper presents an empirical study using panel data from 11 prominent automobile companies on listed in the Bombay Stock Exchange or National Stock Exchange. The study covers ten years following the financial crisis of 2008-2009, specifically from 2009-2010 to 2018-2019. Correlation analysis and panel data regression models are used to identify the determinants of capital structure in the Indian automobile industry. The study identified five key factors that influence the optimal capital structure in the Indian automobile industry: size, tangibility, growth, debt service capacity, and liquidity. Additionally, this study aims to determine which of the two competing theories, namely the trade-off theory and the pecking order theory, provides a better explanation for the factors determining the capital structure of the Indian automobile sector. Journal: Int. J. of Process Management and Benchmarking Pages: 1-21 Issue: 1 Volume: 19 Year: 2025 Keywords: capital structure; automobile industry; panel data; pecking order theory; trade-off theory. File-URL: http://www.inderscience.com/link.php?id=143590 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:19:y:2025:i:1:p:1-21 Template-Type: ReDIF-Article 1.0 Author-Name: Ibrahim Yusuf Author-X-Name-First: Ibrahim Author-X-Name-Last: Yusuf Author-Name: Ramatu Idris Gatawa Author-X-Name-First: Ramatu Idris Author-X-Name-Last: Gatawa Author-Name: Mansur Hassan Author-X-Name-First: Mansur Author-X-Name-Last: Hassan Author-Name: Muhammad Salihu Isa Author-X-Name-First: Muhammad Salihu Author-X-Name-Last: Isa Title: A copula-based analysis for examining and enhancing performance of serial system Abstract: This study investigates the performance of a serial system consisting of five dissimilar subsystems A, B, C, D and E employing Copula's attributes for estimation. Subsystem A has six units working as 4-out-of-6, subsystems B, C and E possess each has one unit while subsystem D has three units working in active parallel. The system experiences partial and complete malfunction during operation: partial malfunction leads the system into reduced capacity mode, and a complete malfunction resulting in system failure. The research employs the technique of supplementary variable and transforms of Laplace to establish and solve the governing differential equations corresponding to schematic system's diagram. Performance models for the system such as profit, MTTF, availability, sensitivity of MTTF and reliability are numerically validated and presented through tables and graphs. The research findings are highly valuable for evaluating performance, identifying ideal system designs, and developing workable maintenance plans. The research contributes to enhancing system performance, increasing production output, and improving revenue mobilisation in various application domains. Journal: Int. J. of Process Management and Benchmarking Pages: 108-130 Issue: 1 Volume: 19 Year: 2025 Keywords: performance; profit; reliability; mean time to failure; MTTF; availability. File-URL: http://www.inderscience.com/link.php?id=143591 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:19:y:2025:i:1:p:108-130 Template-Type: ReDIF-Article 1.0 Author-Name: Roma Khanna Author-X-Name-First: Roma Author-X-Name-Last: Khanna Author-Name: Raghuvir Singh Author-X-Name-First: Raghuvir Author-X-Name-Last: Singh Title: Mapping the work-life balance research landscape in higher education: science mapping and thematic clustering Abstract: This research aims to synthesise the literature on the work-life balance research landscape in higher education using bibliometric analysis. This study looks at past, current, and future work-life balance research in higher education. The documents are extracted from the Scopus database, and 640 papers are chosen using the PRISMA technique for bibliometric analysis. Citation analysis is performed to identify the most influential document and authors. The most prolific writers and sources are identified using productivity analysis. The four thematic clusters of work-life balance research in higher education are discovered using bibliographic coupling. Co-citation analysis is employed to identify citation patterns and highly referenced texts. Additionally, co-occurrence analysis is employed to create thematic trends, and word cloud highlights the frequently used keywords in academic work-life balance research. The articles outline the directions for further study. Journal: Int. J. of Process Management and Benchmarking Pages: 60-76 Issue: 1 Volume: 19 Year: 2025 Keywords: work-life balance; WLB; higher education; bibliometric analysis; word cloud; co-occurrence analysis. File-URL: http://www.inderscience.com/link.php?id=143592 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:19:y:2025:i:1:p:60-76 Template-Type: ReDIF-Article 1.0 Author-Name: Mukesh Kumar Author-X-Name-First: Mukesh Author-X-Name-Last: Kumar Title: Modelling of RFID-enables jewellery hallmark transparency attributes inter-relationship and ranking performance criterion in supply chain responsiveness: using ISM-AHP approach Abstract: In the recent era, RFID-tags enabled hallmark transparency potential (RFID-TEHTP) attributes, in addition to the hallmark transparency values in jewellery supply chain responsiveness (JSCR). Tanishq Jewellery's manufacturing and marketing business are based on 4P strategies, namely product innovation strategy, price strategy, place strategy, and promotion planning strategy. ISM approach is use to develop inter-relationships among transparency potential attributes and MICMAC analysis provides the precise analysis relationship among the driving and dependence power linkages ability in JSCM. AHP approach is use to evaluate the weight priority of RFID-TEHTP performance criterion in JSCR. The ranking sequence orders of jewellery RFID-TEHTP performance criterion weights are the following: cost-effectiveness (CE) > break-even tag price decision (BETPD) > effective lead-time reduction (ELTR) > efficient customer response (ECR) > SC visibility, and trust and traceability (SCV&T). Jewellery managers can benefit from overcoming financial losses such as reduction of operation handling costs, misplacement error reduction, inventory inaccuracy problems, etc. Journal: Int. J. of Process Management and Benchmarking Pages: 22-59 Issue: 1 Volume: 19 Year: 2025 Keywords: supply chain responsiveness; jewellery SC; ISM; RFID-tags; e-retail; efficient consumer response; ECR; jewellery supply chain responsiveness; JSCR. File-URL: http://www.inderscience.com/link.php?id=143593 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:19:y:2025:i:1:p:22-59 Template-Type: ReDIF-Article 1.0 Author-Name: Sachin A. Meshram Author-X-Name-First: Sachin A. Author-X-Name-Last: Meshram Author-Name: A.M. Rawani Author-X-Name-First: A.M. Author-X-Name-Last: Rawani Author-Name: Atul Kumar Sahu Author-X-Name-First: Atul Kumar Author-X-Name-Last: Sahu Author-Name: Ajit Kumar Singh Author-X-Name-First: Ajit Kumar Author-X-Name-Last: Singh Title: Managerial and environmental factors affecting small and medium enterprises: an empirical study in India Abstract: Small and medium enterprises (SMEs) are considered to be the most important driver to achieve significant progress and economic development. The contribution of the SME sector to the country's economy has attracted the attention of academics and policy makers in both developed and transition economies. Today, it is well-established fact that, SMEs are the engine of economic growth through employment generation, contribution to GDP, technological innovations, and other aspects of economic development. The aim of this study is to identify the managerial an environmental factors affecting success of SMEs in Chhattisgarh, India. A questionnaire was developed using 23 items identified from literature. Using a convenience sampling technique, data were collected through a questionnaire survey method. By conducting exploratory factors analysis, this study identified five managerial an environmental factors, namely: managerial competency, business environment, market support, socio-culture and institutional support. Cronbach's alpha coefficients were used to measure the reliability of the all identified five factors. Journal: Int. J. of Process Management and Benchmarking Pages: 77-88 Issue: 1 Volume: 19 Year: 2025 Keywords: managerial and environmental factors; small and medium enterprises; SMEs; factor analysis. File-URL: http://www.inderscience.com/link.php?id=143600 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:19:y:2025:i:1:p:77-88 Template-Type: ReDIF-Article 1.0 Author-Name: Kamal Deep Author-X-Name-First: Kamal Author-X-Name-Last: Deep Title: Facility layout for flexible manufacturing system using genetic algorithm Abstract: This paper focuses the allocation of facilities into flexible manufacturing system deals in single and multi-row layout with equal and/or unequal area of facilities. The proposed mathematical model offers the effective utilisation of facilities with minimum throughput time and material handling subjected to production-derived constraints. The facility layout design is a combinatorial problem generates alternative feasible solution with the help of available computer software. However, selection of the best alternative solution from the available set of feasible alternatives is crucial in consideration of the distance between the facilities and the adjacency requirement of facility types for a given production layout. A genetic algorithm based solution approach is used to elicit the optimal rectilinear distance among different workstations in a realistic way minimises the total material handling costs. The modest genetic operators are embedded with the emendation operation enables the mapping of optimal results with the benchmark instances reported in the literature. The results obtained using the genetic algorithm are found better than the previous best known results. Journal: Int. J. of Process Management and Benchmarking Pages: 89-107 Issue: 1 Volume: 19 Year: 2025 Keywords: facility layout; quadratic assignment problem; QAP; flexible manufacturing system; combinatorial optimisation; material flow; genetic algorithm. File-URL: http://www.inderscience.com/link.php?id=143601 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:19:y:2025:i:1:p:89-107 Template-Type: ReDIF-Article 1.0 Author-Name: Moch Anshori Author-X-Name-First: Moch Author-X-Name-Last: Anshori Author-Name: Suparno Author-X-Name-First: Author-X-Name-Last: Suparno Author-Name: Donny Arif Author-X-Name-First: Donny Author-X-Name-Last: Arif Title: Waste analysis on the production floor and proposed improvements using a lean manufacturing approach aluminium manufacturing company in East Java, Indonesia Abstract: This study aims to analyse waste on the production floor, causing delays in the completion of the production process and affecting product delivery to consumers. In addition, this research is also used to explain the types of waste and provide alternative improvements to reduce waste on the production floor using a lean manufacturing approach. Using the value stream mapping method, researchers mapped the flow of information and materials in the production process. Furthermore, the actual condition of the company is described in the current state stream map using the 5W-1H method of waste identification tool. This study found that there were a waste of defective goods in the frame, wastage in the weaving repair process and activities to find boxes and waste of transportation on the production floor. Implementing the proposed improvement is expected to reduce the waste that occurs to reduce the production lead time. Journal: Int. J. of Process Management and Benchmarking Pages: 131-146 Issue: 1 Volume: 19 Year: 2025 Keywords: waste production floor; lean manufacturing; aluminium manufacturing; value stream mapping; Indonesia. File-URL: http://www.inderscience.com/link.php?id=143614 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:19:y:2025:i:1:p:131-146 Template-Type: ReDIF-Article 1.0 Author-Name: Elizabeth Sharer Author-X-Name-First: Elizabeth Author-X-Name-Last: Sharer Author-Name: Hari K. Rajagopalan Author-X-Name-First: Hari K. Author-X-Name-Last: Rajagopalan Author-Name: Sanjaya Mayadunne Author-X-Name-First: Sanjaya Author-X-Name-Last: Mayadunne Title: Optimal purchasing strategy for bandwidth: a buyer's perspective Abstract: The price of internet bandwidth contracts depends on two parameters: size, or amount of bandwidth, and duration, or length of contracts. For a given planning horizon, managers must decide on the number of contracts to purchase, their bandwidth (size), and their lengths (duration) to minimise costs. This research analyses bandwidth contracting decisions from a buyer's perspective. Historical data is used to estimate bandwidth cost as a function of contract size and duration at a point in time, and to estimate bandwidth cost overtime. We first build an integer linear programming model, and then show that evolutionary algorithms can match the performance of mathematical programming and achieve close to optimal solutions for problems under increasing bandwidth demand. Journal: Int. J. of Process Management and Benchmarking Pages: 238-265 Issue: 2 Volume: 19 Year: 2025 Keywords: bandwidth contract; mixed integer linear programming; evolutionary algorithms. File-URL: http://www.inderscience.com/link.php?id=143985 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:19:y:2025:i:2:p:238-265 Template-Type: ReDIF-Article 1.0 Author-Name: P. Nisha Author-X-Name-First: P. Author-X-Name-Last: Nisha Author-Name: A. Vasumathi Author-X-Name-First: A. Author-X-Name-Last: Vasumathi Title: The impact of personality traits of women advocates towards glass ceiling beliefs for career development Abstract: India is the second-largest legal profession in the world, with over six lakh law professionals. The country has made significant progress in creating gender-neutral global legal workspaces. However, the glass ceiling remains a significant concern for women advocates. The study examines the influence of personality traits on the beliefs about glass ceilings in women's career development. Rapid globalisation has led to women becoming more successful in various fields, including law. However, many women may not choose to dedicate their careers to the profession due to family issues and children. The study highlights the need for acceptance and tolerance among young women in their careers to succeed in the future. Addressing the problems associated with sustainable improvements is crucial for developing women in the legal profession. Journal: Int. J. of Process Management and Benchmarking Pages: 147-192 Issue: 2 Volume: 19 Year: 2025 Keywords: glass ceiling beliefs; GCBs; women advocates; personality traits; career development; job satisfaction; performance; barriers. File-URL: http://www.inderscience.com/link.php?id=143986 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:19:y:2025:i:2:p:147-192 Template-Type: ReDIF-Article 1.0 Author-Name: Abhinna Baxi Bhatnagar Author-X-Name-First: Abhinna Baxi Author-X-Name-Last: Bhatnagar Author-Name: Nitin Sharma Author-X-Name-First: Nitin Author-X-Name-Last: Sharma Author-Name: Bhoopendra Bharti Author-X-Name-First: Bhoopendra Author-X-Name-Last: Bharti Author-Name: Akash Kumar Srivastava Author-X-Name-First: Akash Kumar Author-X-Name-Last: Srivastava Author-Name: Vibhuti Narayan Singh Author-X-Name-First: Vibhuti Narayan Author-X-Name-Last: Singh Title: Past, present, and future of work innovation research landscape in marketing: science mapping and thematic clustering Abstract: This research carried out a comprehensive synthesis of the existing literature on the landscape of work innovation research in marketing using bibliometric analysis. The pertinent documents are acquired from the Scopus database, with 640 papers selected for inclusion in the bibliometric study based on predefined criteria for inclusion and exclusion. The process of citation analysis is employed to identify the most influential documents and authors in this domain. Furthermore, the authors with the highest productivity and the sources with the most significant number of publications are identified through productivity analysis. The application of bibliographic coupling enabled the identification of four distinct thematic clusters. Moreover, co-citation analysis is employed to discern citation patterns, and co-occurrence analysis is utilised to reveal the thematic trends. Ultimately, the articles outline the future directions that can be pursued for further study in this field. Journal: Int. J. of Process Management and Benchmarking Pages: 266-288 Issue: 2 Volume: 19 Year: 2025 Keywords: work innovation; marketing; bibliometric analysis; word cloud; co-occurrence analysis. File-URL: http://www.inderscience.com/link.php?id=143987 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:19:y:2025:i:2:p:266-288 Template-Type: ReDIF-Article 1.0 Author-Name: Ha Thu Nguyen Author-X-Name-First: Ha Thu Author-X-Name-Last: Nguyen Author-Name: Anh Thi Tu Le Author-X-Name-First: Anh Thi Tu Author-X-Name-Last: Le Author-Name: Anh Chi Phan Author-X-Name-First: Anh Chi Author-X-Name-Last: Phan Author-Name: Huy Khanh Nguyen Author-X-Name-First: Huy Khanh Author-X-Name-Last: Nguyen Title: Labour productivity improvement under the impact of total quality management practices and innovation: evidence from Vietnam hotel industry Abstract: Labour productivity improvement, the impetus for the development of hotel service, must be assessed with organisational concentration. Different techniques have been implemented to provide an efficient and effective methodology for achieving the goal, including TQM practices and organisational innovation. The author conducted this study (within the scope of hotel service in Danang City, Vietnam with a sample of 122 hotels from one-star to five-star rated ones which concentrate on the relationship among TQM practices, innovation and labour productivity improvement. The analytical process consists of regression and path analysis which indicate that such TQM practices (<i>process management</i>, <i>organisation leadership</i>, <i>technology adoption</i> and <i>sustainable workforce</i>) are found to directly impact <i>organisational innovation</i> and indirectly impact labour productivity improvement. Finally, there are several important implications have been provided for the hotel service. Journal: Int. J. of Process Management and Benchmarking Pages: 193-219 Issue: 2 Volume: 19 Year: 2025 Keywords: total quality management; TQM; TQM practices; performance improvement; labour productivity; innovation; performance; service; hospitality; Vietnam. File-URL: http://www.inderscience.com/link.php?id=143988 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:19:y:2025:i:2:p:193-219 Template-Type: ReDIF-Article 1.0 Author-Name: Ambu Sharma Author-X-Name-First: Ambu Author-X-Name-Last: Sharma Author-Name: Rajesh Kumar Author-X-Name-First: Rajesh Author-X-Name-Last: Kumar Title: Retrospection of the financial performance landscape on microfinance institutions Abstract: This research aims to synthesise the literature on the financial performance research landscape on microfinance institutions (MFIs) using bibliometric analysis. This study examines past, current, and future financial performance research on MFIs. The documents are extracted from the Scopus database, and 209 papers are chosen, applying the subject area, document type, and language filtering criteria. Citation analysis is performed to identify the most influential documents, institutions, countries, and authors. The most prolific writers and sources are identified using productivity analysis. The four thematic clusters of financial performance research on MFIs are discovered using bibliographic coupling. Co-citation analysis is employed to identify citation patterns and highly referenced texts. Additionally, co-occurrence analysis is employed to create thematic trends, and word cloud highlights the frequently used keywords in financial performance research on MFIs. The articles outline the directions for further study. Journal: Int. J. of Process Management and Benchmarking Pages: 220-237 Issue: 2 Volume: 19 Year: 2025 Keywords: financial performance; microfinance intuitions; citation analysis; bibliometric analysis; co-occurrence analysis. File-URL: http://www.inderscience.com/link.php?id=143989 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:19:y:2025:i:2:p:220-237 Template-Type: ReDIF-Article 1.0 Author-Name: Akash Kumar Srivastava Author-X-Name-First: Akash Kumar Author-X-Name-Last: Srivastava Author-Name: Hari Prapan Sharma Author-X-Name-First: Hari Prapan Author-X-Name-Last: Sharma Title: Role of self-help groups and government initiatives on women empowerment in India through bank linkage programs Abstract: The study aims to investigate the role of self-help groups (SHGs) and various government initiatives for empowering women in India through bank linkage programs. In recent years, the government of India has been working harder to empower women in India. It has introduced several schemes and promoted SHGs for women's empowerment. The study has collected empirical data from 487 women who benefited from this program or are part of the SHGs to assess the critical factors for empowering women in India using purposive sampling techniques. The findings suggest that social empowerment and poverty reductions are crucial elements of women's empowerment in India. Further, women can be empowered through skilling, education, and equality in India. Providing financial support and empowering them with monetary have less role in women's empowerment in India. Bank linkage programs have contributed a lot in empowering women financially and socially and in poverty reduction. Journal: Int. J. of Process Management and Benchmarking Pages: 289-304 Issue: 3 Volume: 19 Year: 2025 Keywords: self-help groups; government initiatives; women empowerment; bank linkage programs; poverty reduction. File-URL: http://www.inderscience.com/link.php?id=144327 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:19:y:2025:i:3:p:289-304 Template-Type: ReDIF-Article 1.0 Author-Name: Mus'abu Musa Author-X-Name-First: Mus'abu Author-X-Name-Last: Musa Author-Name: Ibrahim Yusuf Author-X-Name-First: Ibrahim Author-X-Name-Last: Yusuf Author-Name: Maharaju Liman Author-X-Name-First: Maharaju Author-X-Name-Last: Liman Author-Name: Yusuf Suleiman Rumu Author-X-Name-First: Yusuf Suleiman Author-X-Name-Last: Rumu Title: A performance measure of centrifugal water pumping system's reliability, availability, maintainability and dependability Abstract: This system's reliability, availability, maintainability and dependability were examined to determine which subsystem is most significant in this system. Structure of the model was explained with the system schematic diagram, transition tables and the system's states. The mnemonic rule was used to develop the first order linear ordinary differential equations associated for each subsystem, and all subsystems' failure and repair rates were shown to be distributed independent of one another and exponentially. Tables and figures present the numerical information for reliability, availability, maintainability, dependability and the impact of component repair rates on system maintainability. The evaluation of the subsystems demonstrates that the water vent control component is more readily available than the other components of the system. A rise in the time variable <i>l</i> and repair rate values, the system's maintainability would increase. Additionally, as each subsystem's repair rate values decline, the system's maintainability also declines. Journal: Int. J. of Process Management and Benchmarking Pages: 320-349 Issue: 3 Volume: 19 Year: 2025 Keywords: centrifugal; performance measure; maintainability; water intake; subsystem; availability. File-URL: http://www.inderscience.com/link.php?id=144329 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:19:y:2025:i:3:p:320-349 Template-Type: ReDIF-Article 1.0 Author-Name: Rajdeep Singh Author-X-Name-First: Rajdeep Author-X-Name-Last: Singh Title: Analysis of factors affecting industrial performance using fuzzy CODAS method Abstract: In a highly competitive world, evaluating financial and marketing performance is crucial for manufacturing sectors. As a result, it is essential to have a proper and accurate performance review. Financial as well as production performance indicators need to be carefully chosen during the review process since they show how competitive a firm is. Therefore, core functional competencies play a vital role. This paper deals with industrial performance and finding the critical factors for the same. Hence multi-criteria decision making technique called fuzzy CODAS has been used to choose important alternatives. Results show that technical competency and material and equipment related competency, planning competency and product and control competency come out to be critical ones out of nine factors considered for the study. Journal: Int. J. of Process Management and Benchmarking Pages: 380-401 Issue: 3 Volume: 19 Year: 2025 Keywords: fuzzy CODAS; performance; core functional competencies; critical factors and competitiveness. File-URL: http://www.inderscience.com/link.php?id=144330 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:19:y:2025:i:3:p:380-401 Template-Type: ReDIF-Article 1.0 Author-Name: Neetu Juneja Author-X-Name-First: Neetu Author-X-Name-Last: Juneja Author-Name: Shweta Nanda Author-X-Name-First: Shweta Author-X-Name-Last: Nanda Author-Name: Raj Kumar Singh Author-X-Name-First: Raj Kumar Author-X-Name-Last: Singh Title: Past, present and future of women entrepreneur research landscapes in small-medium enterprises: science mapping and thematic clustering Abstract: This research uses bibliometric analysis to synthesise the literature on the women entrepreneur research landscape in small-medium enterprises (SMEs). This study examines past, current, and future research on women entrepreneurs in SMEs. The documents are extracted from the Scopus database, and 576 papers are chosen, applying the subject area, document type, and language filtering criteria. Citation analysis is performed to identify the most influential documents, institutions, countries, and authors. The most prolific writers and sources are identified using productivity analysis. The four thematic clusters of women entrepreneurs in SMEs are discovered using bibliographic coupling. Co-citation analysis is employed to identify citation patterns and highly referenced texts. Additionally, co-occurrence analysis is employed to create thematic trends, and word cloud highlights the frequently used keywords in women entrepreneur research in SMEs. The articles outline the directions for further study. Journal: Int. J. of Process Management and Benchmarking Pages: 402-424 Issue: 3 Volume: 19 Year: 2025 Keywords: women entrepreneur; small-medium enterprises; bibliometric analysis; word cloud; co-occurrence analysis. File-URL: http://www.inderscience.com/link.php?id=144331 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:19:y:2025:i:3:p:402-424 Template-Type: ReDIF-Article 1.0 Author-Name: Dag Øivind Madsen Author-X-Name-First: Dag Øivind Author-X-Name-Last: Madsen Author-Name: Kåre Slåtten Author-X-Name-First: Kåre Author-X-Name-Last: Slåtten Title: The evolutionary trajectory of knowledge management: a historical reflection and reevaluation Abstract: Knowledge management (KM) gained significant traction in the 1990s, sparking intense debates about its staying power and future trajectory. This paper reevaluates KM's evolutionary trajectory to determine its relevance and application in contemporary academia and organisational processes. Despite declining public discourse, findings reveal that KM has sustained its presence, evolving into a pivotal subject in specialised research journals and ingraining itself in organisational practices, although often without explicit labelling. The study indicates that KM has transcended its initial status as a management fashion and has solidified its role, underscoring its continued significance and utilisation in various domains. Thus, the essence of KM persists in practice and scholarly inquiry, reflecting its enduring impact and adaptation in the changing landscape of management theories and applications. Journal: Int. J. of Process Management and Benchmarking Pages: 350-379 Issue: 3 Volume: 19 Year: 2025 Keywords: knowledge management; management concept; management fashion; trajectory; evolution. File-URL: http://www.inderscience.com/link.php?id=144332 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:19:y:2025:i:3:p:350-379 Template-Type: ReDIF-Article 1.0 Author-Name: Ipsita Dash Author-X-Name-First: Ipsita Author-X-Name-Last: Dash Author-Name: Parameswar Nayak Author-X-Name-First: Parameswar Author-X-Name-Last: Nayak Title: Emotional intelligence and entrepreneurial intention: benchmarking initiatives Abstract: This research evaluates the impact of emotional intelligence (EM) towards enhancing the entrepreneurial attitude (EA) and entrepreneurial intention (EI) in the higher education context from an emerging economy perspective. Based on insights from the prior studies, this research identifies certain gaps and attempts to fill the vacuum in the literature of emotional intelligence. SEM was applied to test the hypothesised model using 373 responses drawn from survey participants. The study findings show that EM positively and significantly affects EA of the post graduate students in the selected regions. Further, the association between EA and EI was also found positive and statistically significant. Moreover, EA plays a mediating role in the link between EM and EI. These research findings lend empirical support to the limited literature on emotional intelligence and entrepreneurship, especially in emerging market settings and provide cues to the policymakers to devise effective strategies and benchmark the initiatives. Journal: Int. J. of Process Management and Benchmarking Pages: 305-319 Issue: 3 Volume: 19 Year: 2025 Keywords: entrepreneurship; intention; emotional intelligence; attitude; benchmarking initiatives. File-URL: http://www.inderscience.com/link.php?id=144333 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:19:y:2025:i:3:p:305-319 Template-Type: ReDIF-Article 1.0 Author-Name: Kulbir Kaur Bhatti Author-X-Name-First: Kulbir Kaur Author-X-Name-Last: Bhatti Author-Name: Utpala Das Saxena Author-X-Name-First: Utpala Das Author-X-Name-Last: Saxena Author-Name: Raj Kumar Singh Author-X-Name-First: Raj Kumar Author-X-Name-Last: Singh Title: Impact of innovation and talent development on innovative business approach Abstract: The objective of this research is to explore the influence of innovation and talent development on the adoption of innovative business strategies, with the moderating factor of work autonomy, specifically in the information technology sector. Moreover, this study also aims to assess the impact of product, process, and administrative innovation on the adoption of innovative business strategies. To gather empirical evidence, a purposive sampling technique was employed, and data was collected from 402 IT professionals in India. A structured questionnaire, adapted from existing literature, served as the survey instrument. The findings from the analysis reveal that both process and administrative innovation, alongside product innovation, are significantly associated with the adoption of innovative business approaches. Furthermore, product innovation and administrative innovation play a crucial role in fostering talent development. Additionally, talent development acts as a positive and significant mediator between product innovation, administrative innovation, and the adoption of innovative business strategies. Journal: Int. J. of Process Management and Benchmarking Pages: 462-483 Issue: 4 Volume: 19 Year: 2025 Keywords: product innovation; process innovation; administrative innovation; talent development; innovative business practices. File-URL: http://www.inderscience.com/link.php?id=144789 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:19:y:2025:i:4:p:462-483 Template-Type: ReDIF-Article 1.0 Author-Name: Rajdeep Singh Author-X-Name-First: Rajdeep Author-X-Name-Last: Singh Title: COPRAS- and CODAS-based justification of factors affecting performance of manufacturing industries based in Northern India Abstract: In recent years, a number of new industries have emerged, and several foreign corporations have changed where they are based in the nation. The competition grew as international industry titans entered the country's home market. Because of this, businesses attempt to outdo one another by giving customers better goods and services. Core functional competencies in this situation can aid organisations in numerous ways in performing successfully and choosing the best alternatives. To find the factors that can influence the performance of a company, different decision-making techniques are used. In this paper COPRAS and CODAS analysis methods have been used for the same. From the results it has been deduced that all the nine factors are given preference depending upon ranking done by the above two techniques. Journal: Int. J. of Process Management and Benchmarking Pages: 425-442 Issue: 4 Volume: 19 Year: 2025 Keywords: COPRAS; CODAS; core functional competencies; global business; competitiveness and performance. File-URL: http://www.inderscience.com/link.php?id=144790 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:19:y:2025:i:4:p:425-442 Template-Type: ReDIF-Article 1.0 Author-Name: Sreenivasa Sekhar Josyula Author-X-Name-First: Sreenivasa Sekhar Author-X-Name-Last: Josyula Author-Name: M. Suresh Author-X-Name-First: M. Author-X-Name-Last: Suresh Author-Name: R. Raghu Raman Author-X-Name-First: R. Raghu Author-X-Name-Last: Raman Title: Unlocking success: a decision support system for agile assessment in intelligent automation projects Abstract: Intelligent automation is an emerging volume of software development work in today's industry as an instrument for driving digital transformation, innovation, and cost efficiencies. Applying agile software development (ASD) practices in this area is being increasingly explored with appropriate tailoring of agile practices, tools, and procedures. The question then arises of the level of agility in these programs and how it can be measured consistently. This research aims to develop a decision system to support (DSS) practitioners and academicians in their pursuit of this category of software applications by identifying agility criteria and enablers. Fuzzy logic is often used in decision support systems where inputs are vague as it helps convert uncertain feedback into linguistic variables as a reliable measurement and mathematical method. This research contributes by synthesising the concepts of decision support, agility, and fuzzy logic in the context of Intelligent Automation. Such a DSS application is developed and provided for access to the research fraternity. The authors discussed the implications of this research, the limitations of the research methodology, and opportunities for future research in this domain. Journal: Int. J. of Process Management and Benchmarking Pages: 484-512 Issue: 4 Volume: 19 Year: 2025 Keywords: agile software development; ASD; intelligent automation; artificial intelligence; digital transformation; multigrade fuzzy; decision support system; DSS. File-URL: http://www.inderscience.com/link.php?id=144793 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:19:y:2025:i:4:p:484-512 Template-Type: ReDIF-Article 1.0 Author-Name: Abhijit Ghosh Author-X-Name-First: Abhijit Author-X-Name-Last: Ghosh Author-Name: Reena Sharma Author-X-Name-First: Reena Author-X-Name-Last: Sharma Author-Name: Sanober Khan Author-X-Name-First: Sanober Author-X-Name-Last: Khan Author-Name: Uttara Jangbahadur Author-X-Name-First: Uttara Author-X-Name-Last: Jangbahadur Title: Exploring human resource management practices and employee retention relationships in FHRAI hotels of West Bengal Abstract: Although there are many FHRAI hotels and restaurants in West Bengal, India, employee retention (ER) is now a significant concern in these organisations, because of the low possibility for employee growth and ineffective hierarchy-level communication. Therefore, this study delves into human resource management practices (HRMP) and employee retention (ER) linkages within West Bengal's FHRAI hotels and restaurants. Drawing upon an extensive review of pertinent literature and integrating the social-exchange and resource-based theories, this paper presents a theoretical framework. The results of the structural model showed that HRMP considerably and favourably influenced ER through commitment to the organisation (OC), level of workplace engagement (WENG), and job satisfaction (JS), motivating employees to remain in these organisations. The primary focus of this study was limited to the hotel industry. In order to enhance the applicability and broader relevance of this research, it is recommended that future scholars explore various other industries as well. This is the first study to provide a comprehensive plan for ER in West Bengal's FHRAI group. Journal: Int. J. of Process Management and Benchmarking Pages: 513-530 Issue: 4 Volume: 19 Year: 2025 Keywords: human resource management; HRM; human resource management practices; employee retention; the Federation of Hotel and Restaurant Associations of India; FHRAI; West Bengal. File-URL: http://www.inderscience.com/link.php?id=144795 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:19:y:2025:i:4:p:513-530 Template-Type: ReDIF-Article 1.0 Author-Name: Deergha Sharma Author-X-Name-First: Deergha Author-X-Name-Last: Sharma Author-Name: Neha Kumar Author-X-Name-First: Neha Author-X-Name-Last: Kumar Author-Name: Parul Kumar Author-X-Name-First: Parul Author-X-Name-Last: Kumar Title: Influence of individual's readiness and perceived behavioural control nexus on the behavioural intention towards FinTech adoption Abstract: The FinTech gateway has opened new channels for approaching customers with novel technologies and improving their overall experience. The study aims to determine the drivers of FinTech adoption and investigate the role of psychological factors in promoting the diffusion of financial services rendered through digital platforms. While integrating the theory of planned behaviour and unified theory of acceptance and use of technology framework, the study determined their synergistic impact on behavioural intentions to adopt FinTech services. The data of 654 respondents has been collected using a mix of random and snowball sampling techniques. To test various proposed hypotheses, PLS-SEM has been used. The techniques of blindfolding and PLS predict were used to test the in-sample and out-of-sample predictive ability of the model, respectively. The financial literacy and perceived trust are the most critical factors driving FinTech adoption. The study proposed controllables were also significant in influencing FinTech adoption. Additionally, the study indicated that perceived behavioural control fully mediates the relationship between facilitating conditions and behavioural intentions. Journal: Int. J. of Process Management and Benchmarking Pages: 443-461 Issue: 4 Volume: 19 Year: 2025 Keywords: financial literacy; FL; psychological controllables; PC; facilitating conditions; FC; perceived trust; PT; performance expectancy; PE. File-URL: http://www.inderscience.com/link.php?id=144798 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:19:y:2025:i:4:p:443-461 Template-Type: ReDIF-Article 1.0 Author-Name: Alan D. Smith Author-X-Name-First: Alan D. Author-X-Name-Last: Smith Title: Exploring the intersections of lean, safety, and perceptual quality issues in supply chain management: case study of manufacturing firms implementing digital technologies and transparency initiatives Abstract: With the internet and the overall increase of e-commerce, it is more vital than ever to manufacture and deliver quality items on time, with minimal defects using lean manufacturing strategies, yet maintaining safety standards. Recent federal legislation has made adhering to safety standards more difficult by some industrial analysis. A relatively detailed case analysis of two manufacturing firms in Western PA and a consumer survey (n = 1,008) allowed for the foundation of evidence-based discussion of the intersections of lean, safety, quality within the background of the post-COVID era. The implications of lean manufacturing, supply chain transparency, technology, safety, for different companies were discussed and how each can benefit. Theoretically, safety is an inherent byproduct of implementing lean processes, but not guaranteed. The empirical section illustrated the universal acceptance and demand for quality manufactured products, but females were generally less willing to pay higher prices for it. Journal: Int. J. of Process Management and Benchmarking Pages: 531-568 Issue: 4 Volume: 19 Year: 2025 Keywords: internet of things; IoT; lean manufacturing; occupational safety; quality; supply chain management; SCM; supply chain transparency; waste management. File-URL: http://www.inderscience.com/link.php?id=144825 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:19:y:2025:i:4:p:531-568 Template-Type: ReDIF-Article 1.0 Author-Name: H. Shayrine Author-X-Name-First: H. Author-X-Name-Last: Shayrine Author-Name: Pulidindi Venugopal Author-X-Name-First: Pulidindi Author-X-Name-Last: Venugopal Title: Organisational transformation: examining the nexus between human values and talent retention effectiveness Abstract: Retaining smart and skilful workers has become an essential strategic goal in the fast-paced world of modern organisations. Recognising the enormous influence of fundamental human values on the efficacy of talent retention strategies is crucial to this effort. These deeply established values, which are particular to each person, have a significant impact on attitudes, behaviours, and choices made inside the intricate web of the professional world. This study contributes to a better understanding of how the interaction between fundamental human values and talent retention tactics can result in a workforce that is more engaged, content, and dedicated. The present study makes use of the convenience sampling approach. The analysis has been conducted using PLS-SEM. The PLS algorithm was utilised to calculate the route coefficients and evaluate the measurement and structural models. There is a significant impact on unveiling the influence of core human values on effective talent retention approaches. Journal: Int. J. of Process Management and Benchmarking Pages: 54-68 Issue: 1 Volume: 20 Year: 2025 Keywords: intension to stay; attitudes; behaviour; human values; organisational culture. File-URL: http://www.inderscience.com/link.php?id=145431 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:20:y:2025:i:1:p:54-68 Template-Type: ReDIF-Article 1.0 Author-Name: Mohammed Hussein Manhal Author-X-Name-First: Mohammed Hussein Author-X-Name-Last: Manhal Author-Name: Rana Abdullah Mohammed Author-X-Name-First: Rana Abdullah Author-X-Name-Last: Mohammed Author-Name: Zaina Mustafa Mahmoud Hamad Author-X-Name-First: Zaina Mustafa Mahmoud Author-X-Name-Last: Hamad Author-Name: Attia Aman Ullah Author-X-Name-First: Attia Aman Author-X-Name-Last: Ullah Author-Name: Ali Mansoor Author-X-Name-First: Ali Author-X-Name-Last: Mansoor Title: Impact of virtual leadership on mitigating the consequences of the COVID-19 pandemic: a mediation moderation model through e-management and organisational culture Abstract: This study aims to test the role of virtual leadership as a mitigation measure during the COVID-19 pandemic. This study tests the mediation role of remote work between virtual leadership and the COVID-19 outbreak and the moderation role of organisational culture. The study employed an analytical descriptive approach and a specially designed questionnaire to test the relationships. The sample size was 351 teachers of teaching staff at the University of Basrah. Results show that virtual leadership forms a significantly positive relationship with electronic management and positively mitigates the influence of the COVID-19 outbreak. Results confirm the mediation role of remote work and the moderation role of organisational culture. The novelty of this study lies in the lack of research that explores the association between the COVID-19 outbreak and virtual leadership, as well as the mediation effect of electronic management and the moderation effect of organisational culture. Journal: Int. J. of Process Management and Benchmarking Pages: 69-95 Issue: 1 Volume: 20 Year: 2025 Keywords: virtual leadership; remote work; electronic management; organisational culture; COVID-19 pandemic; mediation; moderation. File-URL: http://www.inderscience.com/link.php?id=145432 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:20:y:2025:i:1:p:69-95 Template-Type: ReDIF-Article 1.0 Author-Name: Brundaban Panda Author-X-Name-First: Brundaban Author-X-Name-Last: Panda Author-Name: Rinki Mishra Author-X-Name-First: Rinki Author-X-Name-Last: Mishra Title: Benchmarking the effect of CSR activities for sustainable livelihood Abstract: The present study examines and benchmarks the effect of the CSR initiatives towards capacity building and sustainable livelihood from the developing nation perspective. SEM analysis was applied to validate the hypothesised model using 478 responses drawn from survey participants in the selected regions of NALCO, Damanjodi, Odisha. In this regard, the findings reveal a positive and significant link between all the study constructs that render affirmation to the research model. The results and findings were compared with prior studies in a similar domain which provides a strong justification to place the novel contribution of this study in extending the domain knowledge. Also, the findings provide insights to managers and govt. policymakers to devise strategies for the effective implementation of CSR initiatives and schemes for long-term welfare and regional development. Journal: Int. J. of Process Management and Benchmarking Pages: 19-31 Issue: 1 Volume: 20 Year: 2025 Keywords: benchmarking; social responsibility; sustainable livelihood; corporate social responsibility; CSR; regional development. File-URL: http://www.inderscience.com/link.php?id=145433 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:20:y:2025:i:1:p:19-31 Template-Type: ReDIF-Article 1.0 Author-Name: Mohammad Amin Zare Author-X-Name-First: Mohammad Amin Author-X-Name-Last: Zare Author-Name: Mohammad Taghi Taghavifard Author-X-Name-First: Mohammad Taghi Author-X-Name-Last: Taghavifard Author-Name: Maghsoud Amiri Author-X-Name-First: Maghsoud Author-X-Name-Last: Amiri Author-Name: ‪Iman Raeesi Vanani‬‬‬ Author-X-Name-First: ‪Iman Raeesi Author-X-Name-Last: Vanani‬‬‬ Title: A systematic literature review of business process characteristics Abstract: Many organisations prioritise business process management in order to improve efficiency and effectiveness while achieving organisational objectives. Due to the variety and complexity of enterprise business processes, knowledge of business process characteristics enhances the possibility of the success of business process management initiatives. Thus, a systematic review of business process characteristics in the extensive literature on business process management is needed. This paper provides a systemic literature review, based on 63 papers selected from six popular digital libraries that were published between 1990 to 2022. According to the review results, business process characteristics have been referred to in various studies in business process management for different purposes, such as process measurement, process analysis, and process improvement. But few pieces of research were found dedicated to conceptualising process characteristics and classifying them based on conceptual frameworks. Also, the interaction of process characteristics and their relationships have not been investigated extensively in the literature. This paper contributes to the business process management research by aggregating, describing, and classification of business process characteristics. Journal: Int. J. of Process Management and Benchmarking Pages: 32-53 Issue: 1 Volume: 20 Year: 2025 Keywords: business process; business process characteristics; business process management; systematic review. File-URL: http://www.inderscience.com/link.php?id=145434 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:20:y:2025:i:1:p:32-53 Template-Type: ReDIF-Article 1.0 Author-Name: Himani Saini Author-X-Name-First: Himani Author-X-Name-Last: Saini Author-Name: Preeti Tarkar Author-X-Name-First: Preeti Author-X-Name-Last: Tarkar Title: Factors affecting the recruitment practices during COVID-19 in reference to Delhi, India Abstract: This research attempts to examine how e-recruitment is replacing human participation in the recruiting process in light of the COVID-19 pandemic argument. The purpose of this research is to analyse how the current scenario with the COVID-19 pandemic has affected the recruitment process, namely e-recruitment, of workers working in various firms in Delhi. Questionnaires were used to compile the data and the information is collected from various individuals such as HR professionals, HR recruiters, and talent acquisition specialists (TASs) from 35 different companies in the Delhi and New Delhi areas of India. Cost, technological challenges, and a larger applicant pool were the focus of a questionnaire developed for COVID-19. Smart-PLS was used for data analysis. The results of this research inform the initiation of novel recruiting strategies, aiding in the alignment and development of an efficient recruitment process to attract qualified people capable of functioning in a competitive setting. Journal: Int. J. of Process Management and Benchmarking Pages: 1-18 Issue: 1 Volume: 20 Year: 2025 Keywords: recruitment process; electronic-recruitment; COVID-19 pandemic; companies; India. File-URL: http://www.inderscience.com/link.php?id=145435 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:20:y:2025:i:1:p:1-18 Template-Type: ReDIF-Article 1.0 Author-Name: Jürgen Goth Author-X-Name-First: Jürgen Author-X-Name-Last: Goth Author-Name: Daniel Catala-Perez Author-X-Name-First: Daniel Author-X-Name-Last: Catala-Perez Author-Name: Barbara Hedderich Author-X-Name-First: Barbara Author-X-Name-Last: Hedderich Title: Shared service centre organisations and quantitative evidence on a reduction in administration costs: an umbrella review Abstract: Over the last four decades, the shared service centres idea has emerged as a predominant solution to reorganise the support processes of companies worldwide. A stream of academic literature emphasises their potential for ambitious cost savings, shaping the impression that the 'holy grail' for managing companies' administrative costs has been found. However, quantitative evidence based on publicly available financial data is scarce. With the assistance of an umbrella review, this article aims for a structured evaluation of secondary and tertiary SSC literature in that regard. The analysis of 22 publications confirmed initial perceptions. Quantitative data evaluating the impact of SSC organisations on firms administrative cost structure are absent. Furthermore, heterogeneous research procedures yield diverse outputs, deviating from established standards for structured literature reviews. The gathered results substantiate the need for additional investigations at the primary research level, to finalise evidence search and devise a research agenda to address identified gaps. Journal: Int. J. of Process Management and Benchmarking Pages: 96-129 Issue: 1 Volume: 20 Year: 2025 Keywords: shared services; SSC; shared service centre; umbrella review; cost reduction; quantitative evidence; administration cost. File-URL: http://www.inderscience.com/link.php?id=145493 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:20:y:2025:i:1:p:96-129 Template-Type: ReDIF-Article 1.0 Author-Name: Dolagobinda Das Author-X-Name-First: Dolagobinda Author-X-Name-Last: Das Author-Name: Gauranga Charan Samanta Author-X-Name-First: Gauranga Charan Author-X-Name-Last: Samanta Title: A recovery sustainable EOQ model assuming both demand and deterioration disruption during any emergency like COVID-19 Abstract: The COVID-19 lock-down has a significant impact on supply chain management. So both demand and deterioration disruption are taken into account to create a realistic EOQ model. The article take non-instantaneous deteriorating goods with linearly time-dependent deterioration that increases by a finite amount due to a deficiency of storage facilities under lock-down restrictions. This study considers demand disruption, where demand depends on the selling price. The work focus on green technology investment to control carbon emission. To reduce the order cancellation rate during an emergency, the research suggests an advance trade payment policy. The proposed model also considers inventory shortages, which might result in back-orders, and a non-zero lead time to validate lock-down. The goal of the research is to maximise the yearly profit while reducing carbon emissions.To validate the framework, some numerical examples are provided. Eventually, sensitivity studies are carried out to provide managerial insights. Journal: Int. J. of Process Management and Benchmarking Pages: 131-173 Issue: 2 Volume: 20 Year: 2025 Keywords: COVID-19 lock-down; deterioration; advance payment; green technology investment; carbon emission; EOQ model. File-URL: http://www.inderscience.com/link.php?id=145986 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:20:y:2025:i:2:p:131-173 Template-Type: ReDIF-Article 1.0 Author-Name: X. Agnes Pravina Author-X-Name-First: X. Agnes Author-X-Name-Last: Pravina Author-Name: R. Radhika Author-X-Name-First: R. Author-X-Name-Last: Radhika Title: Analysing the factors influencing preferences for fish consumption Abstract: The purpose of this study is to examine the consumption pattern and customer preferences towards value-added fish products in the southern districts of Tamil Nadu. The following topics are essential to the study of customer preferences towards value-added fish products: 1) consumer's preference and consumption pattern; 2) attributes; 3) frequency of fish product consumption; 4) variety; 5) freshness of fish; 6) willingness to pay. The current study focuses on the equitable development of fishermen in Tamil Nadu's southern districts, with particular emphasis on Kanyakumari, Thoothukudi, and Tirunelveli. This makes it possible to collect quantifiable data that may be used for statistical analysis, enabling the observation and evaluation of the research's variables. The data were examined using descriptive analysis, reliability, validity, correlation, regression, and SEM analysis. Journal: Int. J. of Process Management and Benchmarking Pages: 222-242 Issue: 2 Volume: 20 Year: 2025 Keywords: customer preferences; fish products; consumption patterns; fishermen; consumer choices. File-URL: http://www.inderscience.com/link.php?id=145987 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:20:y:2025:i:2:p:222-242 Template-Type: ReDIF-Article 1.0 Author-Name: Minh Hue Nguyen Author-X-Name-First: Minh Hue Author-X-Name-Last: Nguyen Author-Name: Anh Chi Phan Author-X-Name-First: Anh Chi Author-X-Name-Last: Phan Author-Name: Yoshiki Matsui Author-X-Name-First: Yoshiki Author-X-Name-Last: Matsui Title: Supply chain quality management and the triple bottom line: underlying relationship in a developing country Abstract: This paper investigates the underlying mechanism between quality management, supply chain management, and three components of the triple bottom line. Based on data collected from Vietnamese firms, the study employs regression analysis and PROCESS macro with a bootstrap method. Analytical results illustrate that quality management shows a significant effect on economic, environmental, and social bottom lines with or without the mediating role of supply chain management. The direct impact of supply chain management on those performances is insignificant, but it becomes significant with the mediating effect of quality management. Quality management seems to be a prerequisite for an effective supply chain quality model regarding sustainability. Moreover, the concurrence of supply chain and quality management results in a conflictual effect on economic return, although some possible synergy could be found among individual practices. It sheds light on the efficient resource allocation to achieve a certain level of balance in achieving sustainable goals. Journal: Int. J. of Process Management and Benchmarking Pages: 174-197 Issue: 2 Volume: 20 Year: 2025 Keywords: supply chain quality management; SCQM; triple bottom line; TBL; developing country. File-URL: http://www.inderscience.com/link.php?id=145991 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:20:y:2025:i:2:p:174-197 Template-Type: ReDIF-Article 1.0 Author-Name: Raveena Gaba Author-X-Name-First: Raveena Author-X-Name-Last: Gaba Author-Name: Deergha Sharma Author-X-Name-First: Deergha Author-X-Name-Last: Sharma Title: Factors driving sustainability in banking sector - a bibliometric approach Abstract: This study aims to provide a conceptual or empirical summary of the scientific literature conducted on sustainable banking. The study has attempted to determine the trends in the emerging literature on sustainable banking and endorsed the sustainability initiatives of the banking industry. R-studio and Biblioshiny are employed to conduct bibliometric analysis on sustainable banking on a sample of 740 documents from 2008 to 2022 using the Scopus and Web of Science database. Additionally, the VOSviewer program was utilised to perform a co-word and co-authorship analysis. Research findings indicated that the number of publications published on sustainable banking has progressed significantly since 2019. The study identified <i>Sustainability (Switzerland)</i> as the top journal while banking, sustainability, sustainable development, and financial institutions have emerged as the most frequently searched keywords in the extensive literature. The study has provided valuable input to policymakers and regulators regarding sustainability practices adoption in the banking sector. Journal: Int. J. of Process Management and Benchmarking Pages: 198-221 Issue: 2 Volume: 20 Year: 2025 Keywords: banking; sustainable development; sustainable banks; ethical banking; Scopus; bibliometric analysis; VOSviewer. File-URL: http://www.inderscience.com/link.php?id=145992 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:20:y:2025:i:2:p:198-221 Template-Type: ReDIF-Article 1.0 Author-Name: Santhosh Kumar S; Author-X-Name-First: Santhosh Kumar Author-X-Name-Last: S; Author-Name: Sandip Shinde Author-X-Name-First: Sandip Author-X-Name-Last: Shinde Author-Name: Abdul Kadir Khan Author-X-Name-First: Abdul Kadir Author-X-Name-Last: Khan Title: Impact of digital marketing on purchasing intentions and customer relationship management for Oman's e-commerce: the mediating role of trust Abstract: This study examines the relationship between digital marketing, purchasing intentions, and customer relationship management (CRM) in Oman's e-commerce, emphasising the mediating role of trust. Utilising the theory of planned behaviour (TPB), it examines how digital marketing influences consumer purchasing intentions and its impact on effective CRM. Analysis of demographic data from 156 participants using SmartPLS, coupled with reliability and validity assessments, reveals the positive influence of digital marketing on purchasing intentions and CRM, highlighting trust as a crucial mediator. The findings offer theoretical advancements and practical insights for businesses in Oman's e-commerce sector. Journal: Int. J. of Process Management and Benchmarking Pages: 243-263 Issue: 2 Volume: 20 Year: 2025 Keywords: digital marketing; e-commerce; purchase intention; customer relationship management; CRM; Oman; SmartPLS. File-URL: http://www.inderscience.com/link.php?id=145993 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:20:y:2025:i:2:p:243-263 Template-Type: ReDIF-Article 1.0 Author-Name: Leballo Monethi Author-X-Name-First: Leballo Author-X-Name-Last: Monethi Author-Name: Kafigi Jeje Author-X-Name-First: Kafigi Author-X-Name-Last: Jeje Author-Name: Alfred Henrico Author-X-Name-First: Alfred Author-X-Name-Last: Henrico Author-Name: Johannes C. Coetzee Author-X-Name-First: Johannes C. Author-X-Name-Last: Coetzee Title: Employees' cybersecurity awareness and risk management practices at a legal parastatal organisation in South Africa: a hierarchical multiple regression analysis Abstract: Organisations that increasingly rely on information technology and the internet face the potential risk of cyber-attacks. A thorough assessment of their employees' awareness of cyber security in order to establish the cybersecurity measures that are consistent with the evolving corporate experience is of paramount importance. Based on the responses from 550 employees of a legal parastatal organisation in South Africa, we employ a hierarchical multiple regression to analyse the contribution of employees' cybersecurity awareness on risk management practices. We found that the addition of organisational support on cyber security awareness improves the prediction of risk management practices over and above general security practices, employee cyber security practices, and cybercrime awareness. We argue that organisations can improve risk management systems and practices by promoting cybersecurity awareness through relevant strategies such as the development and implementation of cybersecurity awareness policies and procedures, as well as the training and development of personnel in risk management. Journal: Int. J. of Process Management and Benchmarking Pages: 264-285 Issue: 2 Volume: 20 Year: 2025 Keywords: cybersecurity awareness; risk management practices; hierarchical multiple regression analysis; legal parastatal organisation; South Africa. File-URL: http://www.inderscience.com/link.php?id=145994 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:20:y:2025:i:2:p:264-285 Template-Type: ReDIF-Article 1.0 Author-Name: Khleef Ahmed Alkhawaldeh Author-X-Name-First: Khleef Ahmed Author-X-Name-Last: Alkhawaldeh Title: Digital transformation to manage operations challenges and achieve competitive advantage: customer perceptions Abstract: This study examined customers' perceptions of the challenges facing car dealership business in Jordan in managing operations and achieving competitive advantage (ACA). The study also examined the impact of digital transformation on managing these challenges and achieving competitive advantage. A questionnaire was developed based on published literature and distributed online through social media platforms to customers of car dealerships in Jordan to answer based on their experience and point of view. The results of one-sample t-test indicated that the average values for operations management and competitive advantage fell in the range of 'good = 4' point on a five-point scale, and even more so for digital transformation. The study revealed a positive, statistically significant relationship between digital transformation and achieving competitive advantage. The study also revealed that the relationship between digital transformation and achieving competitive advantage is partially mediated by managing operations challenges (MOC). The study concluded that digital transformation enabled managing operations challenges and thus achieving competitive advantage. This study contributes to the literature by demonstrating the role of digital transformation in managing operations challenges and thus achieving competitive advantage. Journal: Int. J. of Process Management and Benchmarking Pages: 396-410 Issue: 3 Volume: 20 Year: 2025 Keywords: operations management; competitive advantage; digital transformation. File-URL: http://www.inderscience.com/link.php?id=146713 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:20:y:2025:i:3:p:396-410 Template-Type: ReDIF-Article 1.0 Author-Name: Alan D. Smith Author-X-Name-First: Alan D. Author-X-Name-Last: Smith Title: Sustainability and technology aspects of inventory management and trucking: a case study approach Abstract: Due to the various methods of inventory management and the constant change of automation improvements the ability to improve these processes will help with production on a whole different level. These developments will help create a bright future within the transportation and warehousing industry within a sustainability framework dynamically moving towards the logistics and the trucking industries. Local companies in the Pittsburgh region (e.g., Pitt-Ohio, Wabtec, and Pittsburgh Brewing Company) are currently solving these problems to help create a better environment and product efficiency for the consumer in the face of global warming and geopolitical conflicts. This paper will conclude an analysis of the following companies about inventory management, LTL- and TL-trucking, and supply chain and logistics management and a relatively detailed empirical analysis on the perceptual benefits and costs associated with these factors of supplier-related sustainability, performance, selection, and technology. Journal: Int. J. of Process Management and Benchmarking Pages: 327-365 Issue: 3 Volume: 20 Year: 2025 Keywords: automation; business case study; digital supply networks; empirical; IoTs; logistics management; supply chain; sustainable supply chain management; SSCM; trucking. File-URL: http://www.inderscience.com/link.php?id=146714 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:20:y:2025:i:3:p:327-365 Template-Type: ReDIF-Article 1.0 Author-Name: Dag Øivind Madsen Author-X-Name-First: Dag Øivind Author-X-Name-Last: Madsen Author-Name: Kåre Slåtten Author-X-Name-First: Kåre Author-X-Name-Last: Slåtten Title: A fresh look at the history and evolution of business process reengineering Abstract: Business process reengineering (BPR) is an iconic management concept that burst onto the scene during the 1990s. The concept is often used as a classic example of a management fashion, and already during the mid-1990s, commentators claimed that the BPR hype was over and that the concept was near death. Despite this, evidence suggests that BPR has not entirely disappeared. This paper aims to review and synthesise the literature on BPR and provide a reconciliation of different viewpoints and perspectives on the concept's evolutionary trajectory. The evolutionary trajectory of BPR is re-examined through a detailed study where a wide range of literature on BPR is synthesised. The research indicates that the trajectory of BPR aligns with a typical pattern of ascent and decline, given its diminished presence in current public management discourse. However, a closer look reveals that the situation is more complex and nuanced than this general narrative suggests. Journal: Int. J. of Process Management and Benchmarking Pages: 366-395 Issue: 3 Volume: 20 Year: 2025 Keywords: business process reengineering; BPR; management concept; management fashion; diffusion; evolution. File-URL: http://www.inderscience.com/link.php?id=146715 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:20:y:2025:i:3:p:366-395 Template-Type: ReDIF-Article 1.0 Author-Name: Sumera Arshad Author-X-Name-First: Sumera Author-X-Name-Last: Arshad Author-Name: Muhammad Zahid Naeem Author-X-Name-First: Muhammad Zahid Author-X-Name-Last: Naeem Author-Name: Muhammad Azmat Hayat Author-X-Name-First: Muhammad Azmat Author-X-Name-Last: Hayat Author-Name: Ramona Birau Author-X-Name-First: Ramona Author-X-Name-Last: Birau Author-Name: Virgil Popescu Author-X-Name-First: Virgil Author-X-Name-Last: Popescu Author-Name: Peter Wanke Author-X-Name-First: Peter Author-X-Name-Last: Wanke Author-Name: Yong Tan Author-X-Name-First: Yong Author-X-Name-Last: Tan Title: Impact of COVID-19 pandemic on individuals: importance of work, leisure and life satisfaction Abstract: This study employs the stimulus-organism-response (SOR) framework to examine the impact of COVID-19 pandemic on life satisfaction, leisure, and work significance. Using the structural equation modelling (SEM), it empirically assesses the direct and indirect effects of the pandemic on these factors. Findings indicate that COVID-19 pandemic indirectly reduces life satisfaction, leisure, and work importance. The study highlights more significant direct impacts, aligning with the overall pattern of effects. As COVID-19 pandemic restrictions intensify, life satisfaction and the importance of leisure increase, while the importance of work declines significantly. Notably, leisure and work significance partially mediate the relationship between COVID-19 pandemic and life satisfaction. Despite indirect effects, the direct influence remains substantial, underscoring the complex dynamics in the context of the pandemic. Journal: Int. J. of Process Management and Benchmarking Pages: 306-326 Issue: 3 Volume: 20 Year: 2025 Keywords: leisure; labour supply; COVID-19 pandemic; structural equation modelling; SEM; stimulus-organism-response; SOR. File-URL: http://www.inderscience.com/link.php?id=146717 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:20:y:2025:i:3:p:306-326 Template-Type: ReDIF-Article 1.0 Author-Name: Denis Michael Author-X-Name-First: Denis Author-X-Name-Last: Michael Author-Name: Jeremia R. Makindara Author-X-Name-First: Jeremia R. Author-X-Name-Last: Makindara Author-Name: Amani A. Mwakalapuka Author-X-Name-First: Amani A. Author-X-Name-Last: Mwakalapuka Title: Impact of determinants of entrepreneurship vocational education and training quality on entrepreneurial competencies development for graduates in Tanzania Abstract: This study examines the perceived quality of entrepreneurship training for vocational graduates and its determining factors in relation to the development of entrepreneurial competencies in Tanzania. A cross-sectional study was conducted involving 220 vocational education and training (VET) graduates engaged in small and medium enterprises (SMEs), as well as 60 key informants selected through purposive and simple random sampling procedures. Quantitative and qualitative data were collected through interviews and focus group discussions and were analysed using content analysis and descriptive statistics using NVivo, respectively. The findings indicate that the quality of entrepreneurship training is influenced by the pedagogical approaches employed by entrepreneurship teachers, the effectiveness of these approaches, the skills of entrepreneurship facilitators, the alignment of training content with the business environment, and the duration of training and its outcomes. It is recommended that interactive pedagogical techniques be utilised during entrepreneurship training to ensure trainees acquire relevant entrepreneurial competencies. Journal: Int. J. of Process Management and Benchmarking Pages: 287-305 Issue: 3 Volume: 20 Year: 2025 Keywords: entrepreneurship; entrepreneurship education; entrepreneurship training; entrepreneurial competencies; small and medium enterprises; SMEs. File-URL: http://www.inderscience.com/link.php?id=146718 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:20:y:2025:i:3:p:287-305 Template-Type: ReDIF-Article 1.0 Author-Name: S. Jagadeeswari Author-X-Name-First: S. Author-X-Name-Last: Jagadeeswari Author-Name: Madhumita Das Author-X-Name-First: Madhumita Author-X-Name-Last: Das Title: Does gender diversity drive performance of manufacturing firms? A systematic review Abstract: Beyond gender, this comprehensive review explores the full spectrum of gender diversity in the manufacturing sectors. The study aims to determine how gender diversity affects business outcomes. A systematic literature assessment utilising Scopus and Web of Science data sources included all articles through 2022, yielding 122 research from 68 top-ranked journals in corporate governance, journal of business ethics, and business strategy and environment. The researcher evaluates them by taking into account the journal, approach, theoretical stances, and research construct questions. The findings clarify the significant knowledge gaps and conflicting results of the prior research on various elements of the field in terms of the research methodologies, contexts, breadth, and theories, offering directions for further study. The evidence regarding the outcomes of gender diversity in the workplace is varied to accomplish sustainable development, the author argues that it is necessary to examine other gender diversity characteristics in addition to the equal opportunities, unethical practices, and sustainability reporting of various sectors. Overall, this study provides systematic contributions to the literature in the field by establishing that gender diversity acts as a mediating factor in the association between workplace satisfaction and firm performance. Journal: Int. J. of Process Management and Benchmarking Pages: 411-429 Issue: 3 Volume: 20 Year: 2025 Keywords: gender diversity; firm performance; workplace happiness; manufacturing firms; sustainable development; systematic literature review; SLR. File-URL: http://www.inderscience.com/link.php?id=146721 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:20:y:2025:i:3:p:411-429 Template-Type: ReDIF-Article 1.0 Author-Name: S. Mohanbabu Author-X-Name-First: S. Author-X-Name-Last: Mohanbabu Author-Name: R. Vettriselvan Author-X-Name-First: R. Author-X-Name-Last: Vettriselvan Title: Will machine learning resolve the issues in container management in ports and logistics industries? Abstract: In this digital era, data is driving the world, and machine learning is part of it. This research study has been carried out by various logistics companies that deal with port authorities across Indian regions. The data was collected through a structured questionnaire and put across 163 respondents, with 150 responses received from various industries working closely with the logistics industry. Factual analysis was done through their response and analysis of variance, and simple linear regression analysis was deployed for interpreting the results. Regression equation: = 5.2892 + 0.6907X Machine learning improves logistic operation efficiency, and machine learning solves logistics issues. The relationship R-squared (R<SUP align="right"><SMALL>2</SMALL></SUP>) equals 0.6289. This means that 62.9% of the variability of machine learning improving logistics operation efficiency is explained by machine learning solving logistics issues. The results reveal that there is a strong direct relationship between machine learning solving logistics issues and improving logistics operation efficiency. Journal: Int. J. of Process Management and Benchmarking Pages: 559-575 Issue: 4 Volume: 20 Year: 2025 Keywords: container management; machine learning; logistics industry. File-URL: http://www.inderscience.com/link.php?id=147399 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:20:y:2025:i:4:p:559-575 Template-Type: ReDIF-Article 1.0 Author-Name: Sonia Lajmi Author-X-Name-First: Sonia Author-X-Name-Last: Lajmi Title: Using deep learning and accident report analysis to determine culpability and detect car damage Abstract: Conventional car bumper and driver culpability prediction rely on the experience of specialised experts. A long wait may result from obtaining such a prediction at the accident scene. It is possible to avoid this kind of wait by generating an automatic report. In this paper, a culpability estimation approach based on an analysis of accident reports and detection of damage caused in cars is presented. Our system employs a fine-tuning-based approach to enable the prediction of the kind, position, and intensity of vehicle bumps. For culpability prediction, is based on mining data from accident reports. We obtained a precision of 94.7%, a recall of 96.3%, and a mAP of 97.7%. The dataset size for car damage is 7,402 images. As for the prediction of culpability, it gave an accuracy of 91%. The dataset size for accident reports is 135,764 records. Journal: Int. J. of Process Management and Benchmarking Pages: 468-490 Issue: 4 Volume: 20 Year: 2025 Keywords: deep learning; fine-tuning; culpability prediction; car damage detection. File-URL: http://www.inderscience.com/link.php?id=147400 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:20:y:2025:i:4:p:468-490 Template-Type: ReDIF-Article 1.0 Author-Name: August Keshav Author-X-Name-First: August Author-X-Name-Last: Keshav Author-Name: Ashish Ranjan Sinha Author-X-Name-First: Ashish Ranjan Author-X-Name-Last: Sinha Title: Analysing the prospects, global advancements, and legal barriers to the introduction of central bank digital currency in India Abstract: The research examines the potential applications of central bank digital currency (CBDC) in India, focusing on the design, forms, classifications, and underlying technology of the system, including blockchain. It assesses the global picture of the CBDC through an examination of events and actions in countries such as Ecuador and Jamaica. This study employs a mixed research methodology that combines quantitative and qualitative approaches. It uses a case study to look at how countries that have been granted CBDCs or have had them revoked have developed internationally, a literature review to explain concepts and outline potential benefits for India, a documentary analysis to look at the regulatory landscape, and visual aids to show information about CBDCs that are in operation around the globe in various stages. The paper provides a comprehensive understanding of CBDCs' potential in India. Journal: Int. J. of Process Management and Benchmarking Pages: 491-512 Issue: 4 Volume: 20 Year: 2025 Keywords: digital currency; central bank digital currency; CBDC; global developments; regulatory environment; prospective benefits; India. File-URL: http://www.inderscience.com/link.php?id=147401 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:20:y:2025:i:4:p:491-512 Template-Type: ReDIF-Article 1.0 Author-Name: Samwel Saimon Lwiza Author-X-Name-First: Samwel Saimon Author-X-Name-Last: Lwiza Author-Name: Vipin Sharma Author-X-Name-First: Vipin Author-X-Name-Last: Sharma Title: Does ability sorting improve efficiency of low-performing students? Evidence from PISA 2022 Survey Abstract: Various measures have been put in place to address the needs of below-average students, including the implementation of the ability sorting teaching strategy. This study examines the data collected from 13,036 students in Peru and Vietnam who participated in the PISA 2022 Survey, with the aim of exploring the impact of ability sorting on enhancing the efficiency of education. The results derived from the two-stage analysis indicate that the ability sorting strategy has the potential to increase students' efficiency by 2%. The analysis reveals that factors such as grade repetition, number of siblings, time devoted to homework, school ownership, location, class size, and peer tutoring play a significant role in determining student efficiency. In light of these findings, the study recommends the implementation of ability sorting as a means of promoting positive educational outcomes, especially for students with lower cognitive abilities, thus helping to narrow the performance gap among students. Journal: Int. J. of Process Management and Benchmarking Pages: 538-558 Issue: 4 Volume: 20 Year: 2025 Keywords: student's efficiency; teaching strategies; two-stage analysis; order-alpha; Peru; Vietnam. File-URL: http://www.inderscience.com/link.php?id=147406 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:20:y:2025:i:4:p:538-558 Template-Type: ReDIF-Article 1.0 Author-Name: Alan D. Smith Author-X-Name-First: Alan D. Author-X-Name-Last: Smith Author-Name: Anna Abdulmanova Author-X-Name-First: Anna Author-X-Name-Last: Abdulmanova Title: Controversy associated with red-light traffic cameras: road public safety or nuisance? Abstract: Red-light traffic enforcement cameras have become an important topic associated with public safety as proven speed-control devices that reduce traffic accidents. Unfortunately, much public opinion of the red-light traffic cameras delves into concerns with the avoidance of driving behaviours and conspiracy/privacy issues. A relatively large sample (n = 2,312), primarily well-educated, younger drivers from the Western PA and NE Ohio was analysed through graphical and multivariate statistical analyses, testing two major hypotheses derived mainly from an application of theory of avoidance behaviour (ToAB) in regard to red-light cameras. Perceptions, from the viewpoints of the males and females, concerning benefits and nuisance factors found strong almost universal support for its safety and purpose, but many disagree on much intrinsic and extrinsic behaviour. There was equal universal agreement on the systemic failure of both private and public drivers' education/training on the subject of speed-control devices. Journal: Int. J. of Process Management and Benchmarking Pages: 431-467 Issue: 4 Volume: 20 Year: 2025 Keywords: gratification; red-light cameras; public safety; speed-control devices; theory of avoidance behaviour; ToAB; traffic accidents; turnabouts. File-URL: http://www.inderscience.com/link.php?id=147407 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:20:y:2025:i:4:p:431-467 Template-Type: ReDIF-Article 1.0 Author-Name: Suraj Kushe Shekhar Author-X-Name-First: Suraj Kushe Author-X-Name-Last: Shekhar Author-Name: C. Ganesh Kumar Author-X-Name-First: C. Ganesh Author-X-Name-Last: Kumar Title: The power of gamification in marketing and brand engagement: trends and insights Abstract: In the realm of marketing, gamification has emerged as a potent strategy that may effectively captivate clients and bolster their loyalty. This study does a comprehensive bibliometric analysis of 201 papers related to the topic of 'gamification and marketing'. The research demonstrates a consistent increase in the quantity of literature on the problem through the analysis of sources, authors, records and network analysis. Two instances of specialised topics that have garnered acknowledgment in contemporary times are in-game advertising and gameful experiences. The study highlights the need for a deeper understanding of the intricacies that arise from gamified marketing, particularly in areas such as gamification joy and e-banking, which have been mostly neglected. These overlooked topics offer potential avenues for further investigation. The findings provide useful insights for policymakers who are developing policies centred around gamification in marketing and also endorse additional investigations in crucial areas pertaining to the selected topic. Journal: Int. J. of Process Management and Benchmarking Pages: 513-537 Issue: 4 Volume: 20 Year: 2025 Keywords: gamification; bibliometric; marketing; branding; strategy. File-URL: http://www.inderscience.com/link.php?id=147409 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:20:y:2025:i:4:p:513-537 Template-Type: ReDIF-Article 1.0 Author-Name: Rajdeep Singh Author-X-Name-First: Rajdeep Author-X-Name-Last: Singh Title: An integrated approach of fuzzy COPRAS and CoCoSo methods for analysing the performance of manufacturing industries in North India Abstract: An organisation can derive its various competencies from a variety of sources, including man, machine, state-of-the-art techniques, and capabilities. Many skills give businesses a competitive edge by assisting them in achieving high levels of productivity, quality, and customer satisfaction. Any company's main goal is to maintain its competitive advantage by maintaining growth and profitability. This study aims at finding the critical factors that affect performance of the industry. This has been done by using a multi-criteria decision-making techniques called fuzzy COPRAS and CoCoSo. Results show that the alternatives named technical competency, concept (idea) competency and material and equipment related competency affect the most out of the nine factors that have been considered for the study. Other factors have somewhat lesser affect for the same. Journal: Int. J. of Process Management and Benchmarking Pages: 64-83 Issue: 1 Volume: 21 Year: 2025 Keywords: competencies; fuzzy COPRAS; CoCoSo; technical competency; competitiveness; capability; performance; industries; North India. File-URL: http://www.inderscience.com/link.php?id=147972 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:21:y:2025:i:1:p:64-83 Template-Type: ReDIF-Article 1.0 Author-Name: Pravin Kumar Mishra Author-X-Name-First: Pravin Kumar Author-X-Name-Last: Mishra Author-Name: Shashank Chandra Author-X-Name-First: Shashank Author-X-Name-Last: Chandra Author-Name: Tarun Soota Author-X-Name-First: Tarun Author-X-Name-Last: Soota Title: Framework for benchmarking the development process using fuzzy hybrid QFD Abstract: Customer expectations often get lost in the intricacies of the complicated development process. It is necessary to establish a structural framework of the development process for benchmarking the allocation of resources. The strategic development process can play a significant role to leverage the market resources. The development process needs to be optimised within the feasibility framework for sustainable growth. Complex process involves measurement of imprecise characteristics due to uncertainties or vague information. The proposed work attempts to structure the relationship between the objectives and criteria using a integrated hybrid framework of fuzzy quality function deployment (FQFD) and analytical hierarchy process (FAHP). The integrated approach determines the prioritised technical attributes based on requirements of the customer. The proposed approach is illustrated by an empirical Indian case study for feasibility evaluation and effectiveness. The benefit cost study is conducted to benchmark the customer attributes for various alternatives. Journal: Int. J. of Process Management and Benchmarking Pages: 30-42 Issue: 1 Volume: 21 Year: 2025 Keywords: benchmarking; house of quality; HOQ; quality function deployment; QFD; fuzzy analytical hierarchy process; FAHP; triangular fuzzy number; MCDM. File-URL: http://www.inderscience.com/link.php?id=147974 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:21:y:2025:i:1:p:30-42 Template-Type: ReDIF-Article 1.0 Author-Name: R. Poornima Author-X-Name-First: R. Author-X-Name-Last: Poornima Author-Name: K. Kirupa Author-X-Name-First: K. Author-X-Name-Last: Kirupa Title: Cost analysis of predictive maintenance in a failure-prone two-stage service retrial queue with orbital search Abstract: This paper explores a single-server retrial queueing system with two-stage service and preventive maintenance. Customers arrive in batches according to a compound Poisson process. The server provides two-stages of essential service to all arriving customers. If the server is idle upon the arrival of a batch, one of the customers in the batch receives the first stage of service immediately, while the rest join the orbit. Otherwise, the entire incoming batch joins the orbit. Once the service is completed, the customer immediately moves to the second stage of the service facility to complete the remaining service. The maintenance policy is constructively utilised during the idle state, even if the system is non-empty. Breakdowns of the main server can occur at any point during the busy state, and the repairs of the server commence without delay. If the server is idle in a non-empty system, then the server may search for customers in the orbit. Using the supplementary variable method, the equilibrium condition of the system is derived, and the stochastic decomposition law is verified. The system's probabilities and performance metrics are obtained. The optimal maintenance rate is determined through cost analysis to minimise expenses for the proposed model. Journal: Int. J. of Process Management and Benchmarking Pages: 1-29 Issue: 1 Volume: 21 Year: 2025 Keywords: batch arrival; retrial queue; two-stage service; predictive maintenance; random breakdown; orbital search. File-URL: http://www.inderscience.com/link.php?id=147975 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:21:y:2025:i:1:p:1-29 Template-Type: ReDIF-Article 1.0 Author-Name: Deepika Reddy Author-X-Name-First: Deepika Author-X-Name-Last: Reddy Author-Name: Veer P. Gangwar Author-X-Name-First: Veer P. Author-X-Name-Last: Gangwar Author-Name: Raj Kumar Singh Author-X-Name-First: Raj Kumar Author-X-Name-Last: Singh Title: Retrospection of guest experience research landscape in the hospitality industry using bibliometric analysis Abstract: This research aims to synthesise the literature on the guest experience research landscape in the hospitality industry using bibliometric analysis. This study examines past, current, and future research on the guest experience research landscape in the hospitality industry. The documents are extracted from the Scopus database, and 550 papers are chosen, applying the subject area, document type, and language filtering criteria. Citation analysis is performed to identify the most influential documents, institutions, countries, and authors. The most prolific writers and sources are identified using productivity analysis. The four thematic clusters of guest experience research landscape in the hospitality industry are service experience, customer experience, virtual reality, and service co-creation. Co-citation analysis is employed to identify citation patterns and highly referenced texts. Additionally, co-occurrence analysis is employed to create thematic trends, and word cloud highlights the frequently used keywords in the guest experience research in the hospitality industry. Journal: Int. J. of Process Management and Benchmarking Pages: 84-105 Issue: 1 Volume: 21 Year: 2025 Keywords: guest experience; hospitality industry; citation analysis; bibliometric analysis; co-occurrence analysis. File-URL: http://www.inderscience.com/link.php?id=147976 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:21:y:2025:i:1:p:84-105 Template-Type: ReDIF-Article 1.0 Author-Name: Saket Ranjan Praveer Author-X-Name-First: Saket Ranjan Author-X-Name-Last: Praveer Author-Name: Naveen Kumar Ranganathan Author-X-Name-First: Naveen Kumar Author-X-Name-Last: Ranganathan Author-Name: John William Arokiasamy Author-X-Name-First: John William Author-X-Name-Last: Arokiasamy Author-Name: Pavithra Rajendran Author-X-Name-First: Pavithra Author-X-Name-Last: Rajendran Title: Digital frontier as the predictor of buying intention: a recursive model approach Abstract: The evolving consumer landscape, shaped by digital frontiers, has profoundly altered traditional marketing practices, offering new avenues for information acquisition, interaction, and transactions. This study focuses on the digital frontier, representative of cutting-edge advancements in digital technologies, as a key predictor variable influencing consumers' intentions to engage in online purchases. Employing a comprehensive analysis through a recursive model, the research aims to reveal the nuanced dynamics and causal relationships between the digital frontier and buying intention. In the broader context, the study explores the influential factors affecting buying intention on websites, with content, clarity, design, convenience, reviews, and chatbot considered as exogenous variables impacting the endogenous variable of buying intention. Building on prior research by Davenport and Harris (2007), the study emphasises the potency of personalisation and recommendation algorithms in shaping consumer decisions in the digital realm. The empirical investigation, conducted through a recursive model with multivariate analysis using primary data, identifies significant factors such as web content, website clarity, website design, and consumer reviews on web portals as crucial contributors to buying intention, particularly in the domain of consumer electronics. Journal: Int. J. of Process Management and Benchmarking Pages: 106-123 Issue: 1 Volume: 21 Year: 2025 Keywords: digital frontier; buying intention; content; clarity; design; convenience; reviews; chatbot. File-URL: http://www.inderscience.com/link.php?id=147977 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:21:y:2025:i:1:p:106-123 Template-Type: ReDIF-Article 1.0 Author-Name: Yoon Yeung Chin Author-X-Name-First: Yoon Yeung Author-X-Name-Last: Chin Author-Name: Joshua Prakash Author-X-Name-First: Joshua Author-X-Name-Last: Prakash Author-Name: Sze Wei Khoo Author-X-Name-First: Sze Wei Author-X-Name-Last: Khoo Title: Industrial automation frameworks: a review of constraints and factors in international small-medium enterprises and implications in Malaysian SMEs Abstract: Small-medium enterprises (SMEs) are the main driving force to Malaysia's economic growth. The global pandemic has seriously affected the national economy and severely impacts the growth of the local manufacturing sector. The decision of re-hiring foreign workers revealed that local industries are largely labour-dependent. The solution to this situation is to introduce industrial automation (IA) with features of advanced digital technologies. This study reviews existing IA implementation frameworks in the manufacturing sector across various regions, focusing on constraints and factors encountered by SMEs when adopting IA. Considering the absence of local IA framework, the study examines IA frameworks in the EU, USA and Asian countries from 2013 to 2020. The key constraints identified include flexibility, human-machine interface, sustainability, and virtual/augmented reality. The factors needed for successful IA implementation are productivity, skill/experience, quality, training, well-being, safety and socio-economy. This study also highlights the factors influencing IA implementation in Malaysian SMEs. Journal: Int. J. of Process Management and Benchmarking Pages: 124-147 Issue: 1 Volume: 21 Year: 2025 Keywords: small-medium enterprises; SMEs; industrial automation framework; technology migration; advanced manufacturing; Malaysia. File-URL: http://www.inderscience.com/link.php?id=147978 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:21:y:2025:i:1:p:124-147 Template-Type: ReDIF-Article 1.0 Author-Name: Swati Soni Author-X-Name-First: Swati Author-X-Name-Last: Soni Author-Name: Gunjan Sharma Author-X-Name-First: Gunjan Author-X-Name-Last: Sharma Author-Name: Priyansh Singh Yadav Author-X-Name-First: Priyansh Singh Author-X-Name-Last: Yadav Author-Name: Sanjeet Singh Author-X-Name-First: Sanjeet Author-X-Name-Last: Singh Author-Name: Rajveer Singh Thakur Author-X-Name-First: Rajveer Singh Author-X-Name-Last: Thakur Author-Name: Umang Sharma Author-X-Name-First: Umang Author-X-Name-Last: Sharma Author-Name: Ahmed Alkhayyat Author-X-Name-First: Ahmed Author-X-Name-Last: Alkhayyat Title: Ethical culture, employee ethical behaviour and customer perceived ethicality in banking industry: a multiple mediation model Abstract: This study aims to analyse the relationships between ethical culture (EC), employee ethical behaviour (EEB) and its outcome customer attitude (CA), customer experience (CE) and customer satisfaction (CS) that shape customer perceived ethicality (CPE) in the banking sector. This study collects data from 358 banking customers in Delhi and tests the proposed hypothesis using PLS algorithm along with bootstrapping method. Results showed that EC has a positive influence on EEB. Further, EEB contributes to CA, CE and CS. Moreover, CA, CE and CS have a positive influence on CPE. Also based on mediating analysis results, CA, CE and CS mediate in between EEB and CPE. Although EC and EEB are receiving empirical attention in the banking industry, little is known about its outcomes that shape CPE. Hence, this research extends previous studies using social learning theory, social exchange theory and attribution theory to fill these research gaps and proposes a conceptual model for the banking industry on the CPE. Journal: Int. J. of Process Management and Benchmarking Pages: 43-63 Issue: 1 Volume: 21 Year: 2025 Keywords: ethical; employee; customer; banking sector. File-URL: http://www.inderscience.com/link.php?id=147987 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:21:y:2025:i:1:p:43-63 Template-Type: ReDIF-Article 1.0 Author-Name: Akshara Prasanna Author-X-Name-First: Akshara Author-X-Name-Last: Prasanna Author-Name: Bijay Prasad Kushwaha Author-X-Name-First: Bijay Prasad Author-X-Name-Last: Kushwaha Title: Conversational AI chatbots research: unveiling evolutionary trends and thematic clusters using bibliometric analysis Abstract: The study highlights the foundational research and trends in conversational artificial intelligence chatbots in marketing, examining their applications and identifying research gaps. Bibliometrix R package is used to merge Scopus and Web of Science datasets. Subsequently, a bibliometric analysis was performed on 279 articles using the Bibliometrix R package. The study's key outcomes encompass the prominent authors, institutions, countries, journals, documents, references, thematic clusters and prospective areas for further study. The past two years stand out as the most productive years, with a significant volume of publications. Swansea University emerges as the leading institution in this study area, with the UK being the leading country. Bibliographic coupling analysis identified four thematic clusters: human-AI interaction and perception, chatbots and customer experience, adoption and trust in AI technologies, strategic implementation and sector-specific AI applications, and conversational AI's ethical, social, and policy implications. Journal: Int. J. of Process Management and Benchmarking Pages: 172-196 Issue: 2 Volume: 21 Year: 2025 Keywords: conversational AI; chatbots; artificial intelligence; bibliometric analysis; anthropomorphism. File-URL: http://www.inderscience.com/link.php?id=148681 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:21:y:2025:i:2:p:172-196 Template-Type: ReDIF-Article 1.0 Author-Name: Somnath Singroul Author-X-Name-First: Somnath Author-X-Name-Last: Singroul Author-Name: Atul Kumar Sahu Author-X-Name-First: Atul Kumar Author-X-Name-Last: Sahu Author-Name: Sanju Kumar Nishad Author-X-Name-First: Sanju Kumar Author-X-Name-Last: Nishad Author-Name: Sachin Akoji Meshram Author-X-Name-First: Sachin Akoji Author-X-Name-Last: Meshram Author-Name: Anurag Singh Author-X-Name-First: Anurag Author-X-Name-Last: Singh Title: A framework for mapping SCM factors in healthcare industries for the development of sustainable strategies: PCIA approach for decision-making Abstract: A framework for mapping SCM factors under the boundaries of healthcare industries (HCIs) is developed for managing and developing sustainable strategies. In this study, 36 SCM factors are presented and their evaluation is done with PCIA technique to enrich the knowledge of the practitioners for making sustainable practices. Here, 36 questionnaires are presented for mapping the success and performances of HCI. The study presents critical and non-critical SCM factors to be included by the HCI. A three-step managerial approach named as quality planning, quantity control, quality improvement is utilised to develop a PCIA technique to understand the status of SCM factors under the state of planning, controlling, improvements and actions. The findings contribute valuable insights towards implementation of successful strategies and demonstrated areas for improvement. The paper concludes with recommendations for future trends in healthcare SCM and emphasises on the development of collaborative models for enhanced preparedness. Journal: Int. J. of Process Management and Benchmarking Pages: 149-171 Issue: 2 Volume: 21 Year: 2025 Keywords: supply chain management; SCM; healthcare industry; HCI; decision-making; sustainable development; evaluation. File-URL: http://www.inderscience.com/link.php?id=148682 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:21:y:2025:i:2:p:149-171 Template-Type: ReDIF-Article 1.0 Author-Name: Anna-Maria Wassermann Author-X-Name-First: Anna-Maria Author-X-Name-Last: Wassermann Author-Name: Dominique Futterer Author-X-Name-First: Dominique Author-X-Name-Last: Futterer Title: Process-oriented digital maturity assessment and how digital maturity influences business performance in the manufacturing industry Abstract: Digitalisation is crucial in today's global business world, enhancing effectiveness and efficiency and thus strengthening competitiveness in the long run. However, Germany's manufacturing industry is experiencing a surge in digital catch-up demand, which is inconsistent with the country's strong and long-lasting economic performance. This study analyses the impact of digital maturity on business performance in the manufacturing industry and how industry certifications like ISO 9001 affect companies' digital maturity. As business process management and digitalisation are closely interrelated, this study enhances existing digital maturity models by proposing a more process-oriented methodology for measuring digital maturity and thus contributes to theory. The Spearman rank correlation, the Wilcoxon rank-sum test, and simple linear regressions are applied for the statistical analyses. The results show that business performance increases with the level of digital maturity, and certified companies achieve higher digital maturity than non-certified companies. Moreover, manufacturing companies are provided with reasons to drive digitalisation, corresponding recommendations for action at the process level, and a benchmark for the German manufacturing industry. Journal: Int. J. of Process Management and Benchmarking Pages: 231-261 Issue: 2 Volume: 21 Year: 2025 Keywords: digitalisation; digital transformation; digital maturity model; DMM; process-oriented maturity assessment; business performance in manufacturing; business process management; BPM; industry certifications. File-URL: http://www.inderscience.com/link.php?id=148683 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:21:y:2025:i:2:p:231-261 Template-Type: ReDIF-Article 1.0 Author-Name: Ranganathan Venkatesan Author-X-Name-First: Ranganathan Author-X-Name-Last: Venkatesan Title: Analysing the impact of financial literacy on investment decision-making: an inclusive study of investors Abstract: The aim of this study is to shine new light on these debates through an examination of the influence of the influence of financial literacy on their investment decisions. The next objectives of this research are to determine whether the financial literacy offered to Indian investors is within the accepted level. To measure financial literacy, the independent variables are financial attitudes and financial behaviour. To measure the investment decision, the author employed the following independent variables: self-image, accounting information, advocate information, and the personal needs of investors in India. Data are collected from Indian investors using a self-administered questionnaire through a Google form. All multiple-item scales in this study were measured on a five-point Likert-type scale. The current sample size is 317. Data analysis used SPSS and measured the level of financial literacy and investment decisions. Financial attitudes and financial behaviour were significantly found to affect financial literacy. Financial literacy significantly affected investment decisions. Journal: Int. J. of Process Management and Benchmarking Pages: 262-278 Issue: 2 Volume: 21 Year: 2025 Keywords: financial literacy; investment decisions; behaviour; attitude; self-image; personal needs. File-URL: http://www.inderscience.com/link.php?id=148684 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:21:y:2025:i:2:p:262-278 Template-Type: ReDIF-Article 1.0 Author-Name: Ashwarya Kapoor Author-X-Name-First: Ashwarya Author-X-Name-Last: Kapoor Author-Name: Rajiv Sindwani Author-X-Name-First: Rajiv Author-X-Name-Last: Sindwani Author-Name: Manisha Goel Author-X-Name-First: Manisha Author-X-Name-Last: Goel Title: Unlocking India's mobile wallet potential: identifying and prioritising key sustainable growth catalysts using best worst method Abstract: Mobile wallet (m-wallet) transactions have seen augmented growth in India due to demonetisation, COVID-19 and various initiatives taken by government to promote digital payments. Rendering m-wallet services responsively and productively in a structured environment will lead to faster attainment of sustainable development goals (SDGs). This study attempts to figure out the drivers for sustainable growth of m-wallet application through literature review and opinion of an academician. Identified drivers have also been prioritised utilising best worst method (BWM). Findings of the research revealed that growing environmental concerns, sustainable collaborations, green services and legal and environmental compliance are the topmost drivers of sustainable growth of m-wallet applications. Outcome of this research will enrich m-wallet and sustainability literature. Outcome will be advantageous to the service providers in providing effective services through m-wallet application. Journal: Int. J. of Process Management and Benchmarking Pages: 218-230 Issue: 2 Volume: 21 Year: 2025 Keywords: mobile wallet; sustainable development goals; best worst method; BWM; prioritisation; India. File-URL: http://www.inderscience.com/link.php?id=148685 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:21:y:2025:i:2:p:218-230 Template-Type: ReDIF-Article 1.0 Author-Name: Somya Gaur Author-X-Name-First: Somya Author-X-Name-Last: Gaur Author-Name: Sandhya Sinha Author-X-Name-First: Sandhya Author-X-Name-Last: Sinha Title: Does workplace bullying influence employee performance? Examining moderating effects of emotional intelligence in academic institutions Abstract: This study investigates the impact of workplace bullying (WB) on employee performance (EP) in academic institutions, examining the moderating role of emotional intelligence (EI) and the mediating role of psychological resilience. The findings, derived from an empirical approach and interviews with 530 academicians from Indian educational institutes, underscore the detrimental effects of WB. Behaviours characterised by rudeness, hostility, mistreatment, and disparagement contribute to fostering WB within academic institutions. Furthermore, a negative correlation was observed between WB and EP and psychological resilience. Employees with higher levels of resilience demonstrated a mediating effect, mitigating the detrimental influence of bullying on their job performance. Interestingly, the study found a positive and significant moderating effect of EI on the relationship between WB and EP. These findings offer valuable insights for fostering a supportive and respectful work environment while highlighting the importance of psychological resilience for EP. Journal: Int. J. of Process Management and Benchmarking Pages: 197-217 Issue: 2 Volume: 21 Year: 2025 Keywords: emotional intelligence; workplace bullying; employee performance; psychological resilience; academic institutions. File-URL: http://www.inderscience.com/link.php?id=148686 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:21:y:2025:i:2:p:197-217 Template-Type: ReDIF-Article 1.0 Author-Name: Niranjan Rajpurohit Author-X-Name-First: Niranjan Author-X-Name-Last: Rajpurohit Author-Name: Dipti Sharma Author-X-Name-First: Dipti Author-X-Name-Last: Sharma Author-Name: Dharmendra Kumar Sharma Author-X-Name-First: Dharmendra Kumar Author-X-Name-Last: Sharma Author-Name: Tina Jain Author-X-Name-First: Tina Author-X-Name-Last: Jain Title: Impact of artificial intelligence on innovative work behaviour of employees Abstract: Artificial intelligence (AI) has the potential to boost the efficiency of employees by fostering employees' creativity and serving as a multipurpose tool for innovation. However, it is uncertain how AI affects employees' innovative work behaviour. Consequently, this study investigates the impact of artificial intelligence on the innovative work behaviour of employees. A total of 327 responses were obtained from questionnaires administered to software engineers, IT specialists, and employees with other tech-related positions in high-tech organisations in India. The responses were evaluated using the structural equation modelling (SEM) approach. The findings of the study reveal that AI work dynamics and AI capability have a considerable impact on employees' innovative work behaviour. This study makes a significant contribution to the literature on the effects of AI technology in the workplace and has significant implications relating to the utilisation of AI technology for employees' innovative work behaviour. Journal: Int. J. of Process Management and Benchmarking Pages: 322-341 Issue: 3 Volume: 21 Year: 2025 Keywords: artificial intelligence; innovative work behaviour; information technology; AI capability; innovation. File-URL: http://www.inderscience.com/link.php?id=149395 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:21:y:2025:i:3:p:322-341 Template-Type: ReDIF-Article 1.0 Author-Name: R. Manigandan Author-X-Name-First: R. Author-X-Name-Last: Manigandan Author-Name: J. Naga Venkata Raghuram Author-X-Name-First: J. Naga Venkata Author-X-Name-Last: Raghuram Author-Name: Sailatha Karpurapu Author-X-Name-First: Sailatha Author-X-Name-Last: Karpurapu Author-Name: K. Geetha Author-X-Name-First: K. Author-X-Name-Last: Geetha Author-Name: Keerthi Jain Author-X-Name-First: Keerthi Author-X-Name-Last: Jain Title: Exploring entrepreneurial marketing theory in the context of SME innovation: a theoretical review and scientometric approach Abstract: This aims to conduct a bibliometric analysis and integrative review of the domain of entrepreneurial marketing. This study provides an in-depth investigation of historical patterns and prospects in entrepreneurial marketing and innovation specifically in the context of small and medium-sized enterprises (SMEs). The theoretical overview explores the development of entrepreneurial marketing, emphasising important concepts and frameworks that have influenced the field. This study provides the conceptual framework and future research avenues for the entrepreneurial marketing domain. This paper used the Scopus database to retrieve the 86 documents. This paper strengthens the logical consistency and scientific framework of the existing literature. Managers can utilise the systematic organisation of our concepts to establish strategies and policies in emergency management planning. The provided findings offer valuable insights for further research agendas, facilitating a deeper understanding of the complex interplay between marketing, entrepreneurship, and innovation in small and medium-sized firms. Journal: Int. J. of Process Management and Benchmarking Pages: 342-367 Issue: 3 Volume: 21 Year: 2025 Keywords: entrepreneurial marketing; entrepreneurial marketing theory; innovation; theoretical review; bibliometric analysis. File-URL: http://www.inderscience.com/link.php?id=149396 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:21:y:2025:i:3:p:342-367 Template-Type: ReDIF-Article 1.0 Author-Name: Geo Kuruvila George Author-X-Name-First: Geo Kuruvila Author-X-Name-Last: George Author-Name: Georgy P. Kurien Author-X-Name-First: Georgy P. Author-X-Name-Last: Kurien Author-Name: Ramakrishnan Natarajan Author-X-Name-First: Ramakrishnan Author-X-Name-Last: Natarajan Author-Name: Sreerengan V.R. Nair Author-X-Name-First: Sreerengan V.R. Author-X-Name-Last: Nair Title: Comparative study of benchmarking models for higher education institutions Abstract: Benchmarking is a systematic and ongoing process of assessing an organisation's business processes against those of business process leaders to obtain data that will enable the firm to take corrective action to enhance performance (Pattison, 1993). Eight benchmarking models, namely the European Foundation for Quality Management (EFQM) excellence model, American Productivity and Quality Centre (APQC) consortium framework, Commonwealth Higher Education Management Service (CHEMS) model, Mckinnon model, Henderson-Smart et al. model, educational development efficiency (EDE) model, Tee benchmarking model, and fourth generation balanced scorecard method are being studied, analysed, evaluated and compared. While most models' effectiveness depends on the cooperation and participation of benchmarking partners, few depends on secondary data are an exception. Most benchmarking models lack the implementation and are fluid and flexible models. This comparative benchmarking study helps an institution understand which benchmarking model needs to be used, as the study details each model's essential features, advantages, and limitations. Journal: Int. J. of Process Management and Benchmarking Pages: 368-400 Issue: 3 Volume: 21 Year: 2025 Keywords: benchmarking; higher education; key performance indicators; KPIs. File-URL: http://www.inderscience.com/link.php?id=149397 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:21:y:2025:i:3:p:368-400 Template-Type: ReDIF-Article 1.0 Author-Name: Manoj Kumar Sharma Author-X-Name-First: Manoj Kumar Author-X-Name-Last: Sharma Author-Name: Priyanshi Negi Author-X-Name-First: Priyanshi Author-X-Name-Last: Negi Author-Name: Kanika Author-X-Name-First: Author-X-Name-Last: Kanika Author-Name: Shalu Choudhary Author-X-Name-First: Shalu Author-X-Name-Last: Choudhary Title: Optimising sustainable inventory management: incorporating advertising, time, price-dependent demand and preservation technology investment with carbon emissions in non-vanishing inventory scenarios Abstract: This paper presents a comprehensive framework for sustainable inventory management tailored to the needs of retailers and customers. Our model investigates various factors influencing inventory dynamics, including demand dynamics dependent on time, price, and advertisement, preservation technologies investment for deterioration reduction, and carbon emissions due to holding and transportation. We consider two cases: shortages with partial backlogging and non-vanishing inventory situations. Non-vanishing inventory comprises products with extended shelf life, like electronics or furniture, contrasting perishable goods. We analytically solve this model, illustrating examples of both cases. Our analysis highlights the effectiveness of preservation technologies in reducing deterioration rates and their impact on overall profits. Efficient inventory management practices, such as optimising order quantities and managing backlogs, are crucial in minimising losses from unsold inventory. Visual representations, like concavity graphs, offer insights into decision variable-total profit relationships, enriching our understanding of inventory management dynamics. Journal: Int. J. of Process Management and Benchmarking Pages: 279-321 Issue: 3 Volume: 21 Year: 2025 Keywords: advertisement; selling price; shortage; salvage value; carbon emission; non-vanish inventory; partial backlogging. File-URL: http://www.inderscience.com/link.php?id=149409 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:21:y:2025:i:3:p:279-321 Template-Type: ReDIF-Article 1.0 Author-Name: A. John William Author-X-Name-First: A. John Author-X-Name-Last: William Author-Name: M. Suresh Author-X-Name-First: M. Author-X-Name-Last: Suresh Author-Name: Nagamani Subramanian Author-X-Name-First: Nagamani Author-X-Name-Last: Subramanian Title: Assessing NAAC readiness: a comprehensive self-assessment model for higher educational institutions Abstract: This study presents a comprehensive exploration of the National Assessment and Accreditation Council (NAAC) readiness of higher education institutions in India. The study identifies and classifies enablers, criteria, and attributes essential for judging NAAC preparedness through a careful investigation. Additionally, it uses this framework to assess the higher educational institution's readiness for NAAC accreditation, concluding that the case institution exhibits a moderate level of readiness. In the course of this evaluation, the study discovers a total of 49 weaker attributes, highlighting areas where the institution needs to improve. These findings are crucial because they provide the management of case educational institution with practical knowledge that they can use to prioritise and put into practice actions that will improve NAAC preparation. Leveraging multi-grade fuzzy and importance-performance analysis, this study provides a robust methodology for assessing readiness, which can be utilised by educational institutions to conduct periodic evaluations of their NAAC readiness or maintenance level. Ultimately, this research contributes not only to the understanding of NAAC readiness but also to the practical tools available for institutions seeking to uphold and improve their quality standards in the realm of higher education. Journal: Int. J. of Process Management and Benchmarking Pages: 401-433 Issue: 4 Volume: 21 Year: 2025 Keywords: higher educational institutions; HEIs; assessment model; teaching and learning; case study; India; NAAC readiness. File-URL: http://www.inderscience.com/link.php?id=149980 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:21:y:2025:i:4:p:401-433 Template-Type: ReDIF-Article 1.0 Author-Name: T. Shahana Author-X-Name-First: T. Author-X-Name-Last: Shahana Author-Name: Vilvanathan Lavanya Author-X-Name-First: Vilvanathan Author-X-Name-Last: Lavanya Author-Name: Aamir Rashid Bhat Author-X-Name-First: Aamir Rashid Author-X-Name-Last: Bhat Title: Predictive power of ensemble learning in audit qualifications: insights from Indian firms Abstract: This study evaluates the effectiveness of ensemble learning methods – bagging, boosting, and stacking – in predicting audit qualifications among Indian firms. Traditional models often fall short because of the complexity of financial reporting data. To address these limitations, our research introduces a novel stacked model incorporating a meta-classifier and utilises a comprehensive dataset enriched with essential financial and non-financial metrics. We systematically compared the performance of seven different ensemble models with conventional classifiers. Our findings demonstrate that ensemble methods, especially our proposed stacking approach, significantly outperform standard models in key metrics such as recall, precision, and area under the curve (AUC). This study highlights the critical role of meticulous feature selection and model calibration in optimising predictive analytics. This research provides valuable insights for auditors, regulatory bodies, and policymakers, enhancing audit quality predictions and supporting financial reporting integrity in the Indian context. Journal: Int. J. of Process Management and Benchmarking Pages: 499-537 Issue: 4 Volume: 21 Year: 2025 Keywords: ensemble learning; audit qualifications; financial reporting; machine learning models; predictive analytics; Indian firms. File-URL: http://www.inderscience.com/link.php?id=149981 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:21:y:2025:i:4:p:499-537 Template-Type: ReDIF-Article 1.0 Author-Name: S. Yuvasree Author-X-Name-First: S. Author-X-Name-Last: Yuvasree Author-Name: P.S. Rajeswari Author-X-Name-First: P.S. Author-X-Name-Last: Rajeswari Title: Examining the effect of workforce agility on innovative organisational practices of Generation Y and Z workers: the moderating effect of employee generation Abstract: The purpose of this study is to examine the moderating influence of employee generational traits (Gen Y and Z) on organisational innovative behaviours by examining the impacts of workforce agility. The following topics are essential to the study: 1) organisational innovative behaviours; 2) work flexibility; 3) work adaptability; 4) work responsiveness; 5) employee generation. The recommended task is broken into two stages: the first step is to collect the data using the prepared questionnaire from the customer of mobile banking. Three-hundred ten data were collected using the prepared questionnaire from the workers in IT-related businesses in India the format of the questionnaire is based on the proposed hypothesis. In the second step, SEM is used to evaluate the collected data. Journal: Int. J. of Process Management and Benchmarking Pages: 457-476 Issue: 4 Volume: 21 Year: 2025 Keywords: Generation X; Generation Y; workforce agility; organisational innovative behaviours; employees' generation. File-URL: http://www.inderscience.com/link.php?id=149982 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:21:y:2025:i:4:p:457-476 Template-Type: ReDIF-Article 1.0 Author-Name: Bhavna Agarwal Author-X-Name-First: Bhavna Author-X-Name-Last: Agarwal Author-Name: Sunita Singhal Author-X-Name-First: Sunita Author-X-Name-Last: Singhal Author-Name: Ashok Kumar Author-X-Name-First: Ashok Author-X-Name-Last: Kumar Author-Name: Bhoopendra Bharti Author-X-Name-First: Bhoopendra Author-X-Name-Last: Bharti Author-Name: Sohail Yasin Ahmad Author-X-Name-First: Sohail Yasin Author-X-Name-Last: Ahmad Title: Past, present and future of virtual reality research landscape in tourism and hospitality using bibliometric analysis Abstract: The study aims to conduct a bibliometric analysis to synthesise virtual reality (VR) publication patterns in tourism. Consequently, this study examines the historical, current, and prospective research on virtual reality in tourism. The document has been extracted from the Scopus database, and a total of 461 documents have been selected for bibliometric analysis after applying inclusion and exclusion criteria. The citation analysis is used to identify the most influential publications and contributors. The productivity analysis is employed to determine the most prolific authors and sources. Five thematic clusters are uncovered: VR presence, virtual technology, immersive technology, mixed reality, and virtual tours using bibliographic coupling. Co-citation analysis is employed to uncover patterns of citation and highly referenced documents. Additionally, co-occurrence analysis is employed to establish the thematic trends in research on virtual reality in tourism. The future directions for research are presented in the respective section. Journal: Int. J. of Process Management and Benchmarking Pages: 477-498 Issue: 4 Volume: 21 Year: 2025 Keywords: virtual reality; mixed reality; virtual tours; bibliometric analysis; citation analysis. File-URL: http://www.inderscience.com/link.php?id=149983 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:21:y:2025:i:4:p:477-498 Template-Type: ReDIF-Article 1.0 Author-Name: Prabu Anbalagan Author-X-Name-First: Prabu Author-X-Name-Last: Anbalagan Author-Name: Gajendran Arumugam Author-X-Name-First: Gajendran Author-X-Name-Last: Arumugam Title: A study on investors' investment attitude towards selected investment decisions reference to Chennai City Abstract: One must consider many possibilities while selecting an investment and select the best one that is currently offered. It is a decision made after carefully weighing every alternative. This study explores the intricate relationship between socio-psychological factors and investment decisions, focusing on the mediating role of investment attitude. A sample of investors with a variety of financial holdings, such as gold investments, real estate, bank accounts, post office programs, and gold holdings, were able to take part in the survey because of convenient sampling (N = 373). It also shows how the association between sociopsychological factors and investment decisions is mediated by investment mindset. The research's conclusions should shed light on the factors impacting the investing decisions of Chennai-based investors. The results aim to advise financial practitioners, policymakers, and academics about enhancing financial literacy and optimising investing methods. Journal: Int. J. of Process Management and Benchmarking Pages: 434-456 Issue: 4 Volume: 21 Year: 2025 Keywords: social factors; behavioural factors; personal factors; investment attitude; investment decisions; individual investors. File-URL: http://www.inderscience.com/link.php?id=149984 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijpmbe:v:21:y:2025:i:4:p:434-456