Template-Type: ReDIF-Article 1.0 Author-Name: Swapnil S. Lahane Author-X-Name-First: Swapnil S. Author-X-Name-Last: Lahane Author-Name: Abhishek Patel Author-X-Name-First: Abhishek Author-X-Name-Last: Patel Author-Name: Ravi Kant Author-X-Name-First: Ravi Author-X-Name-Last: Kant Title: Prioritising the solutions to overcome Industry 4.0 implementation barriers in the Indian manufacturing industry context Abstract: At present, industrial sectors are at the verge of the fourth industrial revolution, i.e., Industry 4.0. This revolutionary era brings immense opportunities for the industry to improve its sustainability. Still, it is inevitable to have factors that hinder the implementation of Industry 4.0 in manufacturing organisations. This study aims to identify and rank the solutions of Industry 4.0 implementation to overcome its barriers. The barriers to Industry 4.0 adoption and solutions to overcome them are identified based on literature analysis and subsequent discussions with the expert decision panel. This study proposes a hybrid framework of the fuzzy analytical hierarchy process (F-AHP) and fuzzy technique for order of preference by similarity to ideal solution (F-TOPSIS). The F-AHP is used to determine the weight of the barriers, and F-TOPSIS is used to rank the solutions to mitigate the barriers of Industry 4.0. The applicability of the proposed framework is demonstrated using the Indian empirical case study example. This research provides a structured, more accurate, and systematic approach for organisations to diminish Industry 4.0 implementation barriers. Journal: Int. J. of Integrated Supply Management Pages: 392-427 Issue: 4 Volume: 14 Year: 2021 Keywords: Industry 4.0; supply chain; barriers; solutions; fuzzy analytical hierarchy process; F-AHP; fuzzy TOPSIS; sustainability; India. File-URL: http://www.inderscience.com/link.php?id=118559 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisma:v:14:y:2021:i:4:p:392-427 Template-Type: ReDIF-Article 1.0 Author-Name: Anthony Ezenwa Author-X-Name-First: Anthony Author-X-Name-Last: Ezenwa Author-Name: Anthony Whiteing Author-X-Name-First: Anthony Author-X-Name-Last: Whiteing Author-Name: Daniel Johnson Author-X-Name-First: Daniel Author-X-Name-Last: Johnson Author-Name: Akunna Oledinma Author-X-Name-First: Akunna Author-X-Name-Last: Oledinma Author-Name: Ejem A. Ejem Author-X-Name-First: Ejem A. Author-X-Name-Last: Ejem Title: Development of strategies to improve information communication technology diffusion in Nigeria's logistics and transport industry: adaptation of structure-process-outcome model Abstract: Information and communication technology (ICT) applications in logistics and supply chain management (SCM), which aim to improve competitive advantage and logistics performance are lacking in Nigeria's logistics industry. In this study, factors influencing ICT uptake across four distinct industries in Nigeria were sought, using systematic multiple case studies of nine selected local third-party logistics operators, across four distinct industries in Nigeria. Using the Donabedian structure-process-outcome model as a theoretical lens, we explored/explained the business environment of the application of ICT in logistics. We found that lack of infrastructure and security concerns are the significant constraints of ICT uptake across industries, while supply chain integration and individual difference factors are the differentiating factors. With the identified generic constraints, none of the case firms was able to achieve high logistics performance. We recommend that the primary strategy should be channelled towards improving the business enabling environment in the region, while the secondary strategy should concentrate on raising awareness of the benefits and prioritisation of the application of advanced ICT resources amongst the local logistics operators. The study concludes that these can be achieved through collaborative policies and regulations in the local logistics industry. Journal: Int. J. of Integrated Supply Management Pages: 363-391 Issue: 4 Volume: 14 Year: 2021 Keywords: information and communication technology; ICT diffusion; strategies; Nigerian transport and logistics industry; infrastructure; supply chain management; SCM. File-URL: http://www.inderscience.com/link.php?id=118562 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisma:v:14:y:2021:i:4:p:363-391 Template-Type: ReDIF-Article 1.0 Author-Name: Byung Joon Park Author-X-Name-First: Byung Joon Author-X-Name-Last: Park Title: The role of manufacturing flexibility strategy on product platform development Abstract: Manufacturing flexibility is defined here as the variety in product mix and volume that can be produced by a manufacturing plant. Several firms have adopted an approach of using common product design elements to achieve higher levels of manufacturing flexibility. In this paper, we explore how different manufacturing flexibility strategies interact with product platform development activities to affect the magnitude of platform usage among diverse products, through a comprehensive discrete optimisation based decision model that addresses the simultaneous determination of product mix offering, product platform development and product assignments to plants in a discrete modular manufacturing environment. We found that, under the totally flexible plant strategy, product platforms tend to support more products to offer than the integrated with product assignment decision. On the other hand, the totally flexible plant strategy offers significantly fewer products to offer than the integrated with product assignment decision. We also found that the degree of platform usage increases as the setup cost for assembly at plants increases. However, the degree of platform usage increases when the unit cost of product platform decreases. Journal: Int. J. of Integrated Supply Management Pages: 428-444 Issue: 4 Volume: 14 Year: 2021 Keywords: manufacturing flexibility; product platform development; supply chain design; modular manufacturing environment. File-URL: http://www.inderscience.com/link.php?id=118564 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisma:v:14:y:2021:i:4:p:428-444 Template-Type: ReDIF-Article 1.0 Author-Name: Majid Mohammad Shafiee Author-X-Name-First: Majid Mohammad Author-X-Name-Last: Shafiee Author-Name: Reihaneh Alsadat Tabaeeian Author-X-Name-First: Reihaneh Alsadat Author-X-Name-Last: Tabaeeian Title: Integrating knowledge-responsibility-performance via supplier relationship management Abstract: This paper is aimed to examine how knowledge management capabilities (KMC) and corporate social responsibility (CSR) affect operational performance (OP) through supplier relationship management (SRM) in the context of the oil and gas industry. Besides, the moderation role of management support (MS) was investigated. Previous studies have been fragmented in that they have neither provided a holistic view of a knowledge-responsibility-performance link, nor considered the catalysing role of SRM in the link. Based on the responses collected from a survey, structural equation modelling, along with a moderated-mediation approach, were used to examine the research model. The results indicate that KMC and CSR positively affect OP directly and indirectly through SRM. Moreover, MS acts as a moderator between KMC, CSR, and SRM. By using a comprehensive framework, this study offers insights into the literature on supply chain, CSR, and KM and explains the significance of SRM in catalysing the knowledge-responsibility-performance link. Journal: Int. J. of Integrated Supply Management Pages: 445-466 Issue: 4 Volume: 14 Year: 2021 Keywords: corporate social responsibility; CSR; knowledge management capabilities; KMC; management support; operational performance; supplier relationship management; SRM; the oil and gas industry. File-URL: http://www.inderscience.com/link.php?id=118566 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisma:v:14:y:2021:i:4:p:445-466 Template-Type: ReDIF-Article 1.0 Author-Name: Tiago Coito Author-X-Name-First: Tiago Author-X-Name-Last: Coito Author-Name: Joaquim L. Viegas Author-X-Name-First: Joaquim L. Author-X-Name-Last: Viegas Author-Name: Miguel S.E. Martins Author-X-Name-First: Miguel S.E. Author-X-Name-Last: Martins Author-Name: Bernardo Firme Author-X-Name-First: Bernardo Author-X-Name-Last: Firme Author-Name: João Figueiredo Author-X-Name-First: João Author-X-Name-Last: Figueiredo Author-Name: Susana M. Vieira Author-X-Name-First: Susana M. Author-X-Name-Last: Vieira Author-Name: João Miguel Da Costa Sousa Author-X-Name-First: João Miguel Da Costa Author-X-Name-Last: Sousa Title: The impact of intelligent automation in internal supply chains Abstract: Nowadays, industry is being forced to produce smaller and more diverse batches, increasing the complexity of internal supply chains. Data has become a valuable asset, supporting the development of intelligent automation solutions. Decision support systems, which leverage data, require the automation pyramid to be more flexible, as information needs to be exchanged simultaneously and in real-time with all automation layers. This paper proposes a framework for intelligent automation to deal with current challenges in acquisition and management of data in industrial settings, towards feeding decision support systems. It frames the topic within the scope of internal supply chains, addressing the framework impact on work practices within the organisation. Two real industrial implementation cases are examined, in the wood and chemical industries. Results help practitioners address the most impactful challenges affecting the performance of internal supply chains, by developing systems which are faster, more flexible, efficient and with improved quality. Journal: Int. J. of Integrated Supply Management Pages: 1-27 Issue: 1 Volume: 14 Year: 2021 Keywords: intelligent automation; SCADA; manufacturing execution systems; MES; internal supply chain; Industry 4.0. File-URL: http://www.inderscience.com/link.php?id=113563 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisma:v:14:y:2021:i:1:p:1-27 Template-Type: ReDIF-Article 1.0 Author-Name: Pedro M. Reyes Author-X-Name-First: Pedro M. Author-X-Name-Last: Reyes Author-Name: Jianghong Man Author-X-Name-First: Jianghong Author-X-Name-Last: Man Author-Name: Patrick Jaska Author-X-Name-First: Patrick Author-X-Name-Last: Jaska Author-Name: John K. Visich Author-X-Name-First: John K. Author-X-Name-Last: Visich Author-Name: Michael J. Gravier Author-X-Name-First: Michael J. Author-X-Name-Last: Gravier Title: Recycle system design for end-of-life electronics in developing countries Abstract: This paper examines recycling of end-of-life products in developing countries to determine the most reasonable collection policy in order to increase profits. The process of self-recycling by original manufacturers is examined using simulations. The simulations were based on three different investment percentages for collection versus refurbishment/remanufacture for end-of-life products. Results offered here can help decision makers understand trade-offs they face as they decide how to best process returned products (refurbish, remanufacture, or recycle). Simulations of the various collection policies for end-of-life products suggest that original manufacturers in developing countries experience better profit results from collection policies that favour developing refurbishment and remanufacturing capabilities over collection. Furthermore, eco-design bolsters profitability and efficiency of self-recycling systems under all conditions, whereas supplier partnership for environmental design only improves outcomes when the original manufacturer invests in its refurbishment and remanufacturing capabilities. Journal: Int. J. of Integrated Supply Management Pages: 101-129 Issue: 1 Volume: 14 Year: 2021 Keywords: simulation; recycle; end-of-life; remanufacture; system dynamics modelling. File-URL: http://www.inderscience.com/link.php?id=113565 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisma:v:14:y:2021:i:1:p:101-129 Template-Type: ReDIF-Article 1.0 Author-Name: Matheus Cardoso Pires Author-X-Name-First: Matheus Cardoso Author-X-Name-Last: Pires Author-Name: Renato Parreira Author-X-Name-First: Renato Author-X-Name-Last: Parreira Author-Name: Enzo Morosini Frazzon Author-X-Name-First: Enzo Morosini Author-X-Name-Last: Frazzon Title: Integrated operational supply chain planning in Industry 4.0 Abstract: The scenario of isolated companies competing with each other has evolved to a holistic vision, where companies collaborate and work together to maintain supply chain competitiveness. Integrated supply chain planning, although challenging, is necessary to foster competitive advantage and to ensure companies' survival in difficult times. Concepts and technologies introduced by the Fourth Industrial Revolution support such integrated planning models. This paper presents a systematic literature review on integrated supply chain planning aiming to identify research streams, opportunities and the impact of Industry 4.0. The study identified the lack of research on supply chain planning which considers Industry 4.0 concepts and opportunities. Five prevailing research streams stand out: 1) approaches to deal with complexity; 2) the consideration of uncertainty; 3) raw material inventory control and procurement processes; 4) the necessity of considering environmental impacts; 5) particular models for dealing with limited lifetime products. Finally, the following future research opportunities were identified: 1) improving decision-making models to consider stochastic and dynamic behaviours; 2) extending the models to include larger networks with more variables; 3) developing more efficient solving approaches. Journal: Int. J. of Integrated Supply Management Pages: 28-49 Issue: 1 Volume: 14 Year: 2021 Keywords: logistics; operations research; optimisation. File-URL: http://www.inderscience.com/link.php?id=113566 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisma:v:14:y:2021:i:1:p:28-49 Template-Type: ReDIF-Article 1.0 Author-Name: Hajar Nouinou Author-X-Name-First: Hajar Author-X-Name-Last: Nouinou Author-Name: Daniel Roy Author-X-Name-First: Daniel Author-X-Name-Last: Roy Author-Name: Sophie Hennequin Author-X-Name-First: Sophie Author-X-Name-Last: Hennequin Title: Flows optimisation of industrial symbiosis based on bi-objective mathematical modelling Abstract: It seems clear that industrial systems can no longer continue to operate by taking unrestricted amounts of natural resources, especially when these are non-renewable. In order to limit this over-consumption, the industrial symbiosis principle is an interesting solution. The objective here is to determine, using a mathematical bi-objective model, the optimal flow allocations within a symbiosis. Our model applies at the tactical and operational levels, i.e., when the symbiosis is already defined. The aim is to study the best possible flow distribution in order to maximise both the symbiosis overall economic and symbiotic profits (defined as the difference between internal and external flows). With this in mind, we will conduct a numerical application based on a real example with generic values before presenting an optimisation algorithm based on the <i>ε</i>-constraint method. Finally, simulations will be performed to study the evolution of results. Journal: Int. J. of Integrated Supply Management Pages: 77-100 Issue: 1 Volume: 14 Year: 2021 Keywords: industrial symbiosis; mathematical modelling; optimisation; materials flows; waste management. File-URL: http://www.inderscience.com/link.php?id=113568 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisma:v:14:y:2021:i:1:p:77-100 Template-Type: ReDIF-Article 1.0 Author-Name: Ganesh Sankaran Author-X-Name-First: Ganesh Author-X-Name-Last: Sankaran Author-Name: Martin Knahl Author-X-Name-First: Martin Author-X-Name-Last: Knahl Author-Name: Guido Siestrup Author-X-Name-First: Guido Author-X-Name-Last: Siestrup Author-Name: Ismini Vasileiou Author-X-Name-First: Ismini Author-X-Name-Last: Vasileiou Title: A measurement model of value of data for decision-making in the digital era Abstract: Despite burgeoning opportunities for data-driven decisions, research shows that decision makers are failing to make sense of data within a broader context of organisational change which presents the following pertinent questions: 1) How can decision makers measure the value of data by giving a holistic account?; 2) How should the organisation-specific blending of machine and human rationality be factored in the measurement model? This study tackles these questions by proposing a novel approach that combines system dynamics and the ability to incorporate data science methods. In addition to a conceptual description, this paper also describes a feasibility test conducted on a small-scale prototype set in a supply chain context. The results show that the use of sophisticated models that have a local scope ('locally rational') might have unintended global consequences. It underscores the need for a holistic model in the decision makers' toolkit providing the ability to run targeted simulations to assess digital investments. Journal: Int. J. of Integrated Supply Management Pages: 50-76 Issue: 1 Volume: 14 Year: 2021 Keywords: digital technologies; digital transformation; data-driven decisions; big data; quantifying value of data; bounded rationality; system dynamics; human-AI collaboration; supply chain management. File-URL: http://www.inderscience.com/link.php?id=113570 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisma:v:14:y:2021:i:1:p:50-76 Template-Type: ReDIF-Article 1.0 Author-Name: Joby George Author-X-Name-First: Joby Author-X-Name-Last: George Author-Name: V. Madhusudanan Pillai Author-X-Name-First: V. Madhusudanan Author-X-Name-Last: Pillai Title: Evaluation of inventory replenishment policies on supply chain performance with grey relational analysis Abstract: The objective of this paper is to evaluate various inventory position-based (IP-based) and non-inventory position-based (NIP-based) replenishment policies on the performance of a serial supply chain having four stages: manufacturer, distributor, wholesaler and retailer. The IP-based policies use inventory position-based information for replenishment whereas NIP-based policies do not require such information. The performance indicators are supply chain fill rate, bullwhip effect and total cost of supply chain. An experimental study is conducted using a simulation model under no information sharing and mean customer demand information sharing scenarios and the policies are ranked for each scenario using grey relational analysis. This analysis shows that the performance of the supply chain is better when NIP-based policies are used. The statistical analysis of the impact of information sharing among the supply chain members shows that the information sharing strategy has an impact on the performance of supply chain when IP-based policies are used. Journal: Int. J. of Integrated Supply Management Pages: 197-227 Issue: 2 Volume: 14 Year: 2021 Keywords: supply chain; inventory replenishment policy; fill rate; bullwhip effect; BWE; inventory position; reorder level; performance indicator; simulation; information sharing; grey relational analysis; GRA. File-URL: http://www.inderscience.com/link.php?id=115679 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisma:v:14:y:2021:i:2:p:197-227 Template-Type: ReDIF-Article 1.0 Author-Name: Karishma Chaudhary Author-X-Name-First: Karishma Author-X-Name-Last: Chaudhary Author-Name: Prasanna Padmanabhan Author-X-Name-First: Prasanna Author-X-Name-Last: Padmanabhan Author-Name: Deepak Verma Author-X-Name-First: Deepak Author-X-Name-Last: Verma Author-Name: Prashant Dev Yadav Author-X-Name-First: Prashant Dev Author-X-Name-Last: Yadav Title: Blockchain: a game changer in electronic waste management in India Abstract: In 2016, 44.7 million metric tonnes of electronic waste (e-waste) was generated across the globe out of which only 20% was recycled through formal channels. India is the fifth largest generator of e-waste where 95% of e-waste is channelised to unorganised units. There are substantial environment and health risks associated with unsafe e-waste management practices. The study highlights various blockchain-based applications in the waste management domain. The study deals with the development of Ethereum-based smart contract blockchain architectural platform 'e-waste lens' for effective e-waste management in India. The specific novelty of the blockchain architectural framework lies in the real-time tracking and monitoring of e-waste movement by the concerned stakeholders in the e-waste management chain and thereby bringing out the non-compliance of the prevailing regulations for effective e-waste management. Journal: Int. J. of Integrated Supply Management Pages: 167-182 Issue: 2 Volume: 14 Year: 2021 Keywords: e-waste; e-waste lens; blockchain; smart contracts; Ethereum. File-URL: http://www.inderscience.com/link.php?id=115680 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisma:v:14:y:2021:i:2:p:167-182 Template-Type: ReDIF-Article 1.0 Author-Name: Barkha Jadwani Author-X-Name-First: Barkha Author-X-Name-Last: Jadwani Author-Name: Shilpa Parkhi Author-X-Name-First: Shilpa Author-X-Name-Last: Parkhi Title: Operational risk management: analysis of challenges faced by banks in India Abstract: Operational risk management is gaining significance in today's dynamic banking environment especially due to the technological disruptions faced by Indian banks today. The objective of this research paper is to analyse the issues faced in management of operational risk. This paper uses a questionnaire-based interview of senior banking professionals to analyse the challenges in operational risk management. It is more complex as compared to other banking risks and in that context an in-depth analysis of the various issues/challenges has been done. Operational risk incidents in banking industry have increased significantly. Such incidents are non-repetitive, so historical trends are not useful here. Availability of data is also one major constraint. The banking system in India should be very proactive in constructing a robust operational risk management framework. Operational risks should be properly managed else it can have serious implications on the reputation of the bank. Journal: Int. J. of Integrated Supply Management Pages: 183-196 Issue: 2 Volume: 14 Year: 2021 Keywords: operational risk; banks; Basel; risk management; operational risk management regulations; analysis of frauds; management oversight; effects of technology on operational risk; causes of frauds. File-URL: http://www.inderscience.com/link.php?id=115682 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisma:v:14:y:2021:i:2:p:183-196 Template-Type: ReDIF-Article 1.0 Author-Name: Kala Mahadevan Author-X-Name-First: Kala Author-X-Name-Last: Mahadevan Author-Name: Sujata Joshi Author-X-Name-First: Sujata Author-X-Name-Last: Joshi Title: A bibliometric analysis of trends in electronic service quality research over two decades Abstract: This paper encapsulates published research literature on electronic service quality through a bibliometric analysis using the Scopus database and bibliometric and graphical visualisation tools such as Biblioshiny and VOSviewer. The literature is investigated over a two-decade period (1999 to 2019) in order to assess citation trends, top contributing countries, journals and authors, and establishing network visualisation patterns such as keyword co-occurrences, co-authorship linkages and citation analysis. USA and Taiwan dominate research in this field in terms of articles published as well as citations. It is found that research largely pertains to the conceptualisation, measurement and evaluation of electronic service quality followed by focus on constructs like value, satisfaction, loyalty and behavioural intentions. Electronic commerce and banking are the key industries for research in this area. This paper aims to offer researchers a quick snapshot and mapping of research trends which would provide a guideline for future research in this area. Journal: Int. J. of Integrated Supply Management Pages: 131-166 Issue: 2 Volume: 14 Year: 2021 Keywords: electronic service quality; e-service quality; online service quality; electronic quality; e-quality; bibliometric analysis; bibliometrix; Biblioshiny; VOSviewer; citation analysis. File-URL: http://www.inderscience.com/link.php?id=115684 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisma:v:14:y:2021:i:2:p:131-166 Template-Type: ReDIF-Article 1.0 Author-Name: Narendra Nath Mahato Author-X-Name-First: Narendra Nath Author-X-Name-Last: Mahato Author-Name: Munish Makkad Author-X-Name-First: Munish Author-X-Name-Last: Makkad Author-Name: Vandna Sharma Author-X-Name-First: Vandna Author-X-Name-Last: Sharma Title: An innovative and humane way of improving the efficiency and productivity of the manual loading process at Indian Oil Corporation Ltd., Panipat: a case study Abstract: The ultimate objective of any supply chain logistics ecosystem is that the processes involved should be simple, economical and provide more employment opportunities to a larger section of the society in a humane way. This paper describes a detailed case on the inefficiencies of the current manual loading of polymer filled bags by labourers in trucks and containers for dispatch to domestic markets and exports at Panipat Petrochemical Marketing Complex (PPMC) of Indian Oil Corporation Ltd. The objective of the paper is to develop and propose a unique and innovative system or device in existing supply chain which can be used by the labourers to reduce the time of loading and increase their personal income, yielding a better brand image and customer satisfaction for the corporation. The proposed system being efficient, contributes a unique and practical way of overcoming a socio-economic problem being faced in the supply chain at PPMC, Panipat. Journal: Int. J. of Integrated Supply Management Pages: 228-247 Issue: 2 Volume: 14 Year: 2021 Keywords: bagging; efficiency of loading; work related musculoskeletal disorder; WMSD; movable trolley; pallet; palletised; supply chain management; SCM; turnaround time; warehousing. File-URL: http://www.inderscience.com/link.php?id=115689 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisma:v:14:y:2021:i:2:p:228-247 Template-Type: ReDIF-Article 1.0 Author-Name: Denise Franco Author-X-Name-First: Denise Author-X-Name-Last: Franco Author-Name: Juliana Veiga Mendes Author-X-Name-First: Juliana Veiga Author-X-Name-Last: Mendes Author-Name: Luis Antonio De Santa-Eulalia Author-X-Name-First: Luis Antonio De Author-X-Name-Last: Santa-Eulalia Author-Name: Ruy Tadashi Yoshino Author-X-Name-First: Ruy Tadashi Author-X-Name-Last: Yoshino Author-Name: Gilberto Miller Devós Ganga Author-X-Name-First: Gilberto Miller Devós Author-X-Name-Last: Ganga Author-Name: Lilia Rekik Author-X-Name-First: Lilia Author-X-Name-Last: Rekik Author-Name: Olivier Caya Author-X-Name-First: Olivier Author-X-Name-Last: Caya Title: Pressures driving the adoption of green practices Abstract: The objective of this study is to capture and analyse the relationship between the pressures that influence the adoption process of GSCM practices in small and medium enterprises from the chemical sector. Data from 26 companies from four different countries were analysed through qualitative comparative analysis to examine the relationship between the pressures towards increasing the rate of adoption of GSCM practices. Empirical results have indicated pressures from regulations, or suppliers, or internal forces (interestingly, mission without market pressures) leads to the adoption of GSCM practices. Surprisingly, pressures from the community have not been identified as a relevant factor influencing the adoption process. Thus, this paper contributes to highlights the complexity of the set of relationships between the pressures driving the adoption of green practices and to the literature by providing a novel way of understanding the process of adoption of these practices by SMEs. Journal: Int. J. of Integrated Supply Management Pages: 249-270 Issue: 3 Volume: 14 Year: 2021 Keywords: qualitative comparative analyses; green practices; small and medium enterprises; chemical sector; environmental management. File-URL: http://www.inderscience.com/link.php?id=117238 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisma:v:14:y:2021:i:3:p:249-270 Template-Type: ReDIF-Article 1.0 Author-Name: R. Sujatha Author-X-Name-First: R. Author-X-Name-Last: Sujatha Author-Name: M.S. Karthikeyan Author-X-Name-First: M.S. Author-X-Name-Last: Karthikeyan Title: Investigating green supply chain management practices and performance among apparel manufacturing firms Abstract: Globally, industries are attempting to implement green practices not only in their production process; but also to reduce environmental impact in their supply chain. A developing country like India houses plenty of manufacturing firms; and among them the apparel industry is a notable sector with numerous small and medium enterprises. Irrespective of size, these firms are poised to implement green supply chain management (GSCM). The present research attempts to explore GSCM practices and empirically understand the relationship between GSCM pressure, practices and performance. The study considered 198 firms and a structured questionnaire was used to collect the responses. The results indicated that GSCM pressures drive firms to implement GSCM practices which have a significant effect on environmental and positive economic performance. Hence, it is recommended that firms seeking to have access to large markets should be proactive and design a supply chain that is less harmful to the environment. Journal: Int. J. of Integrated Supply Management Pages: 271-290 Issue: 3 Volume: 14 Year: 2021 Keywords: green supply chain management; GSCM practices; environmental performance; developing country; apparel manufacturing. File-URL: http://www.inderscience.com/link.php?id=117239 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisma:v:14:y:2021:i:3:p:271-290 Template-Type: ReDIF-Article 1.0 Author-Name: M.V. Jobin Author-X-Name-First: M.V. Author-X-Name-Last: Jobin Author-Name: T. Radha Ramanan Author-X-Name-First: T. Radha Author-X-Name-Last: Ramanan Author-Name: R. Sridharan Author-X-Name-First: R. Author-X-Name-Last: Sridharan Title: Forecasting structural equation modelling of lean manufacturing using high order statistical functions Abstract: Typically, the primary goal of lean technology (LT) is to improve profits and create value by minimising waste. The consideration of demand variability in a multi-dimensional lean manufacturing environment is an innovation in production system engineering. However, manufacturing systems that fail to recognise demand variability generate high work-in-process (WIP) and low throughput in the lean manufacturing process. Moreover, many companies have found it difficult to successfully implement and sustain lean manufacturing. It is, therefore, very important for companies to identify and understand the critical success factors for successfully implementing lean manufacturing. To overwhelm the challenges in the implementation of lean manufacturing, this paper plan to introduce an advanced model and this model is analysed using structural equation modelling. Journal: Int. J. of Integrated Supply Management Pages: 291-305 Issue: 3 Volume: 14 Year: 2021 Keywords: lean manufacturing; structural equation modelling; SEM; maximum likelihood; regression analysis; EFA; work-in-process; WIP. File-URL: http://www.inderscience.com/link.php?id=117240 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisma:v:14:y:2021:i:3:p:291-305 Template-Type: ReDIF-Article 1.0 Author-Name: Camillo Loro Author-X-Name-First: Camillo Author-X-Name-Last: Loro Author-Name: Riccardo Mangiaracina Author-X-Name-First: Riccardo Author-X-Name-Last: Mangiaracina Title: A multi-attribute value theory to assess the benefits of vendor managed inventory Abstract: This paper aims to show the effect of the qualitative decision factors on the implementation of VMI solution in the grocery industry. The methodology used in the study is a combination of an analytical approach and empirical analysis. A multi-attribute value theory called simple multi-attribute rating theory was selected as a tool of analysis. This model was combined with the analytical hierarchical process to obtain a hybrid model to express subjective and objective decision-maker evaluations. Then, the empirical analysis was conducted to validate the research paradigm and to test the model generated. As a result, qualitative factors are considered essential elements for a supply chain collaboration project's success. For the literature, it is the first attempt to assess an analytical model combining both qualitative and quantitative factors for such a solution. For practitioners, the model may be used as a supporting tool for decision-making about VMI solution. Journal: Int. J. of Integrated Supply Management Pages: 330-362 Issue: 3 Volume: 14 Year: 2021 Keywords: vendor managed inventory; VMI; supply chain collaboration; grocery supply chain; multi-objective decision models. File-URL: http://www.inderscience.com/link.php?id=117245 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisma:v:14:y:2021:i:3:p:330-362 Template-Type: ReDIF-Article 1.0 Author-Name: Ziad Alkalha Author-X-Name-First: Ziad Author-X-Name-Last: Alkalha Author-Name: Zu'bi M.F. Al-Zu'bi Author-X-Name-First: Zu'bi M.F. Author-X-Name-Last: Al-Zu'bi Author-Name: Saad Zighan Author-X-Name-First: Saad Author-X-Name-Last: Zighan Title: Investigating the impact of absorptive capacity on operational performance: the mediating role of supply chain resilience Abstract: This study examines the impact of the absorptive capacity process on operational performance through supply chain resilience. Based on analysing 800 questionnaires, the results show that all the absorptive capacity components have a substantial direct impact on operational performance, supporting the hypotheses arguing that knowledge acquisition and exploitation have a significant positive impact on operational performance. Therefore, supply chain resilience has a partial mediation impact between absorptive capacity and operational performance components. The paper highlighted the critical role of exploitation as a central process in absorptive capacity, which has the most dominant impact on supply chain resilience and operational performance. Furthermore, the study sheds light on the role of absorptive capacity in facilitating supply chain abilities to respond to disruptions and vulnerabilities and enhance organisations' operational performance. The study also demonstrates evidence of the learning implication of dynamic capability theory using absorptive capacity. Journal: Int. J. of Integrated Supply Management Pages: 306-329 Issue: 3 Volume: 14 Year: 2021 Keywords: absorptive capacity; supply chain; supply chain resilience; SCR; operational performance. File-URL: http://www.inderscience.com/link.php?id=117247 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijisma:v:14:y:2021:i:3:p:306-329