Forthcoming and Online First Articles

International Journal of Enterprise Network Management

International Journal of Enterprise Network Management (IJENM)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

Forthcoming articles must be purchased for the purposes of research, teaching and private study only. These articles can be cited using the expression "in press". For example: Smith, J. (in press). Article Title. Journal Title.

Articles marked with this shopping trolley icon are available for purchase - click on the icon to send an email request to purchase.

Online First articles are published online here, before they appear in a journal issue. Online First articles are fully citeable, complete with a DOI. They can be cited, read, and downloaded. Online First articles are published as Open Access (OA) articles to make the latest research available as early as possible.

Open AccessArticles marked with this Open Access icon are Online First articles. They are freely available and openly accessible to all without any restriction except the ones stated in their respective CC licenses.

Register for our alerting service, which notifies you by email when new issues are published online.

We also offer which provide timely updates of tables of contents, newly published articles and calls for papers.

International Journal of Enterprise Network Management (34 papers in press)

Regular Issues

  • Trends and topics in IJENM from 2006 to 2020: A statistical history using topic modelling   Order a copy of this article
    by S. Sivanandham, M.S. Gajanand 
    Abstract: The International Journal of Enterprise Network Management (IJENM) has been disseminating innovative research in understanding the complexity of a supply chain in an enterprise-wide scope in various industries using frameworks, adapted theories and configurable models since 2006. In this paper, we study the history of IJENM by analysing the articles published in the journal using text mining and topic modelling to bring out the evolution of topics and focus areas. We used text mining to identify the most frequently occurring terms in the title, keywords and abstract of IJENM papers and constructed co-occurrence network to analyse the interrelationship between focus areas. We then used topic modelling techniques to perform an unsupervised review and analysed the temporal trends of top 10 topics in the journal. Our results showed that the focus area of IJENM started with traditional issues related to supply chain, and in the recent years has also started to cover trending topics like analytics, technology and Internet of Things. Our results indicate the evolving interests of the journal and its readers over the last 15 years and could benefit different stakeholders in the academic community to identify promising topics and realigning the focus for journal development.
    Keywords: Topic modelling; Latent Dirichlet Allocation; Bibliometric analysis; Text analysis; Enterprise management.

  • Taguchi's Robust Parameter Design to Analyze Ordered Categorical Data Using Inverse Omega Transformation   Order a copy of this article
    by M. Shilpa, Parthiban Palanisamy 
    Abstract: The manufacturing industry is striving hard to gain an edge over its competitors as far as the product quality is concerned. The product may have both variable and attribute quality characteristics. The variable cases are addressed using Shewharts variable control charts, process capability analysis etc. Most of the attribute cases are addressed using fraction defective; this serves as a quality measure. When such attributes of the product are categorized according to their severity, then the same case may be dealt with as Ordered categorical data. This research work presents the use of Taguchis parameter design to improve the product quality during spline hob operation of a shaft. The visual defects that occur during this operation are treated as ordered categorical data and the analysis of this data is carried out using inverse omega transformation. The paper has resulted in determining the optimum settings for the process parameters in the spline hob operation.
    Keywords: Ordered categorical data; accumulation analysis; omega transformation; robust design.

  • A system dynamics-based approach towards sustainability of a rural milk dairy venture   Order a copy of this article
    by Vasanth Kamath, Seena Biju 
    Abstract: India, being one of the largest producers of milk in the world, is witnessing unprecedented shutdowns amongst small-scale dairies due to business sustainability challenges. This could be attributed to adoption of event-based focus on systems and ignoring the time delays between the cause and the effects by the entrepreneurs. These shutdowns can be critical as the small-scale dairies heavily contribute to the countrys overall milk production capacity. Through this article, we attempt to present a real-life case of a rural dairy highlighting an entrepreneurial dilemma and demonstrate the usage of Group Model Building (GMB) techniques for conducting System Dynamics (SD) simulation using Vensim
    Keywords: Dairy farming; Entrepreneurship; Group Model Building; MSME; System Dynamics.
    DOI: 10.1504/IJENM.2022.10034399
     
  • Analysis of Rising Trend of Online Streaming Services during Pandemic Situation of Covid-19   Order a copy of this article
    by Khushboo Agnihotri, Sachin Kumar Srivastava, Mohd. Saif Nawaz 
    Abstract: The implementation of nation-wide Lockdown during this pandemic situation has resulted into huge impact on the living style of everyone and affected various industries and companies during this lockdown resulting into a boom for those who were already present in the Market with their stronghold in the online market. Some of these were the digital payment method, streaming service providers, online study platform etc. Some of these services even reported a boom in their profit and market shares. The goal of this study was to identify the major streaming service providers in India and assess whether they made a profit during the lockdown or remained in the same position monitoring their growth whether it be the increase in the number of subscriber, increase in the streaming time and increase in the customer satisfaction. This study will help in assessing whether the companies really incurred a profit while providing the same user satisfaction and experience what they were providing before the lockdown. The result of the study shows that there was increase in the number of subscribers, there was increase in the streaming time and there was a slight increase in the customer satisfaction of the companies. The study points out that there was a definite increase in the business of these companies and the result of this will be showcased in the companys annual account statement whenever it become public.
    Keywords: Covid 19; Online Streaming; Online plate-form; Online education service providers; Online streaming service providers; Delivery service providers; Internet and Broadband providers.

  • The Implementation of Occupational Health and Safety Management System to Improve Performance of Human Resources Development   Order a copy of this article
    by Hardani Widhiastuti, Gusti Yuliasih, Yudi Kurniawan 
    Abstract: : This study emphasizes the poor performance of Human Resources Development which is caused by Occupational Health and Safety (OHS) Management System. It aims to improve the performance of human resources by examining the effect of occupational health and safety system, work-related stress, as well as the role of motivation for OHS management. This study was conducted to produce a model and an analysis of Occupational Health and Safety related to Performance of Human Resources (HR) Development. The subject was 80 employees of PT.PLN Persero APD in Central Java and D.I. Yogyakarta. This study used a quantitative method by using descriptive statistics and Partial Least Square (PLS) technique to analyze the effect of each variable. Based on the Q square results, its value is accounted for 0.60. This shows that Q squares value is larger than 0.5indicating that factors of OHS management system, work-related stress, and motivation in OHS management have a good prediction level on the performance of human resources management. The aftereffect of OHS the executives framework examination influences the representatives' inspiration of the OHS the executives by 0.424. Business related Stress on the Motivation of OHS Management for - 0.321 and Motivation of OHS Management affects Performance Development of Human Resources by 0.642. Consequently, it could be presumed that the three speculations were acknowledged. The shortcoming of this examination, be that as it may, is the subject of the investigation who are workers in PT PLN Persero APD Central Java and D.I.Y. Their working zones were every now and again moved so as the exploration area. In addition, the condition and circumstance of the subjects exceptionally affected their filling in the surveys since their works are very hard identified with power load the executives for systems all through Indonesia.
    Keywords: OHS Management System; Work-related Stress; Motivation of OHS Management; Performance of HR Development.

  • OPTIMIZATION OF MULTIPLE TRAVELING SALESMAN PROBLEM USING META HEURISTIC METHODS   Order a copy of this article
    by Parthiban Palanisamy, Dhanalakshmi R 
    Abstract: Travelling Salesman Problem (TSP) is a well-studied problem in the combinatorial optimization area. But the most computationally complex combinatorial optimization problems are the Multiple travelling salesman problem (mTSP) which is an extension of the former. This problem related to accommodating real world problems where there was a need to account for more than one salesman. This paper involved the application of heuristic methods to solve 180 cities, 6 traveling salesman problem to minimize the distance of the tours. A k-means clustering algorithm was used to transform a m-TSP to a TSP. Once the clustering had been done Genetic Algorithm were applied to the cluster and iterated to obtain the most optimal value of the distance after convergence takes place. Now every cluster was again solved as a TSP by applying the Ant Colony Optimization (ACO) algorithm to determine the optimal distance value. After the application of both the heuristic techniques, it was found that the Ant Colony Optimization algorithm gave a better result and a more optimal tour than Genetic Algorithm due to the extensive search and constructive nature of the algorithm.
    Keywords: Ant colony optimization; Genetic Algorithm; K-Means Cluster Algorithm; MultipleTravelling Salesman Problem.

  • BIG DATA ANALYTICS FOR IMPLEMENTATION OF LEAN AND GREEN IN MEDIUM SCALE INDUSTRIES   Order a copy of this article
    by Parthiban P, S. N. Sathiya Narayana 
    Abstract: Lean manufacturing is a tool, which is used to cut down waste and to improve the efficiency of an organization and helps the organization to sustain in the competitive environment. Implementation of green systems in organization results in reduce energy consumption, waste generation, and hazardous materials used while also building the companies images as socially responsible organizations. Lean and green systems are associated with waste reduction techniques. In foreign, many industries have started implementing these concepts, and they are getting good results. In India, companies are facing problems in implementing the lean and green concept. This paper investigates critical success factors for implementation of the lean and green concept in Indian medium scale manufacturing industries. The factors are grouped into different levels by Interpretive Structural Modeling (ISM). The Analytic Network Process (ANP) method has been used to determine the extent to which the main principles of lean and green manufacturing have been carried out in the six Indian medium scale manufacturing industries.
    Keywords: Lean manufacturing; Green manufacturing; Interpretive Structural Modeling (ISM); Analytic Network Process (ANP).

  • A causal model to prioritize the task of work packages in R&D projects   Order a copy of this article
    by Ramanathan M, Punnniyamoorthy M, Balamurugan V, Ravi B. I 
    Abstract: Evaluation of Research & Development (R&D) project is important for prioritizing the tasks that are vital for the success of projects. In this paper, the Work Breakdown Structure (WBS) principle has been applied to convert the R&D projects of the Defence Research & Development Organisation (DRDO) in India into a number of work packages. The DRDO projects are classified into five groups, and under each group, there are some 11 common work packages identified to complete the projects. Each work package consists of metrics and prioritizing these metrics is important to concentrate on these important metrics as it is a project success criterion. A casual model has been developed in this paper for this purpose. An instrument has been developed, and the data were collected through a survey from 179 senior Scientists of DRDO. Based on the results of the casual model developed, the metrics have been ranked from the work packages based on their respective complexity. The ranking of metrics in each work packages can help the project in-charge of any project in tactical and operational level activities down the line. The methodology adopted in this paper can be extended for the projects of such a similar nature.
    Keywords: Work Break down Structure; Casual model; R&D projects.

  • Information and Communication Technology application in Supply Chain Management: A Literature Review   Order a copy of this article
    by Narassima MS, Prashant R. Nair, Anbuudayasankar SP, Ganesh K 
    Abstract: A systematic review of the literature on the impact of Information and Communication Technology (ICT) in Supply Chain Management (SCM) has been presented in this study. The benefits of ICT deployment for SCM, the Supply Chain Performance Measures & Constructs and SCM Process Reference Models developed by Supply Chain Council and Global Supply Chain Forum (GSCF) are presented. Several ICT tools that are widely deployed and emerging tools have been discussed. Also, the impacts of these ICT tools across various facets and echelons of Supply Chain have been presented. Though it is well-known that ICT positively affects SCM performance and improves supply chain capabilities, the dearth of literature in the quantification of the impacts and a need for a generic framework for performance measurement of ICT deployment for SCM open avenues for further research.
    Keywords: Information & Communication Technology (ICT); Supply Chain Management (SCM); Supply Chain Performance Measurement; Supply Chain Operations Reference (SCOR); Supply Chain Metrics.

  • Reinventing Healthcare Services through Online Communities- Exploring the Key Determinants   Order a copy of this article
    by Amaresh Panda, Sanjay Mohapatra, Prakash Dash 
    Abstract: With the evolution of technology and the availability of advanced service delivery approaches, usage preference regarding the healthcare industry is changing. Technology has converted patient's roles from treatment seeker to health information contributor. Looking at the vast population of India, it is adequate to incorporate technology and use advanced technological features, which will make it easy, quick and transparent for users. Integration between biology and technology with the help of Internet features changes the face of traditional treatment practices. It enables users to collaborate to share information, seek consultation, develop social bonding and carry research to fight critical health conditions. The current COVID-19 pandemic has forced the world to change the way it has been operating and be more technology-friendly. Wide usage of Information systems with the evolution of Internet Technology is continuously adding new outlooks to the legacy treatment practices. These new outlooks are the combined reflection of certain key factors, which are essential from both users as well as service provider perspective. This study aims to systematically evaluate all these vital factors and understand their roles in effective healthcare delivery.
    Keywords: Online Healthcare Community; Healthcare Service Offerings; COVID-19; Virtual Care Practices.

  • Performance Sustainability and Knowledge Management Practice in Manufacturing Industry A Theoretical Model   Order a copy of this article
    by Sanjit Jayakumar, Manoharan T.R, Rajesh R, Pal Pandi A 
    Abstract: The knowledge management (KM) gets importance in the organizational perspective. In this context, the present authors have developed a conceptual model by using, Knowledge Management Practice (KMP) in Manufacturing Industry for attaining performance. Based on various literature reviews, ten important intervening critical factors / enablers (Organizational Structure, Leadership, Training, Employees Motivation, Socialization, Organizational Culture, Learning Attitude and Behaviour, Organizations Commitment, Information Technology, and Knowledge Management Audit) are identified under KMP and a conceptual research model is proposed to examine the extent of its practice in manufacturing industry in achieving performance of manufacturing industry. The aim of this paper is to discuss the identification of enablers through various research studies and proposed enablers based knowledge management practice in manufacturing industry for maintaining sustainability and performance. The proposed model has been validated by framing hypotheses and confirmed with the findings of various earlier studies. Further, the authors suggest that, the conceptual model can be tested and validated by empirical means.
    Keywords: Knowledge Management; Enablers; Conceptual Model; Knowledge Management Practice.rn.

  • Green Information Science (GIS) with its potentiality as M.Tech. GIS Integrated programTowards Energy Efficient IT Infrastructure: A Techno, Educational & Policy Framework   Order a copy of this article
    by Prantosh Kr Paul, R. Rajesh 
    Abstract: Green Computing is a kind of field of study, research practice which is responsible for designing furthermore development of computing devices and system based on less power management principle. It is a kind of Eco friendly platform as well as architecture making. Green Computing ultimately reduces less harmful chemical CO 2 including more harmful gas with such as CFC. Minimization of lead is possible with Green Computing practice. As computer deals with various kinds of chemicals and therefore IT organizations including its designing and development should be considered as important. This work is kind of conceptual one with the potentialities including Green Informatics in techno, managerial context. Paper specially highlights the available program on Green Computing and allied areas in international context specially focused on designing and initiating Green Computing academic programs with reference to MTech program in Indian academics context in the line of international educational systems.
    Keywords: Green Computing; Virtualization; Academics; Green IS; M.Tech; Innovative Degrees; Higher Education; Indian Academics.

  • Antecedents of Healthcare Risk Mitigation Capability: Impact on Performance   Order a copy of this article
    by Santanu Mandal, Samyadip Chakraborty 
    Abstract: The study aims to develop measures and enablers for healthcare risk mitigation capability. With growing importance for risk mitigation, our study develops healthcare risk mitigation capability as a first-order factor. Furthermore, it also develops its enablers and its influence on healthcare supply chain operational performance. A cross-sectional data collection approach was adopted targeting mainly experienced professionals in hospitals, chemistry and pharmaceuticals and surgical equipment manufacturers spread across two prime health destinations. Around 212 completed responses were received and were analysed using partial least squares. Our study indicated positive influences of organisation culture and top management support on healthcare risk mitigation capability. Also, it showed positive influences of organisation culture on resource commitment and from top management support. Furthermore, healthcare risk mitigation capability has positive support for healthcare supply chain operational performance. The study is the foremost to develop measures and a construct for capturing healthcare risk mitigation capability. Furthermore, it also develops the prominent enablers of healthcare risk mitigation capability and explores its effect on healthcare supply chain operational performance.
    Keywords: risk management; hospital; supply chain; culture; performance.

  • Opportunities for emerging market LLPs to improve the service quality of automotive parts exports in post COVID-19   Order a copy of this article
    by Balakrishnan AS, Jayshree Suresh 
    Abstract: This research article proposes the service quality measures for four automotive lead logistics providers (LLPs) to improve the parts export business based at emerging markets such as India, China, and Thailand. These measures have emerged from the pre-COVID-19 perception study on service quality from 117 global automotive professionals from auto original equipment manufacturers (OEMs). Multi-criteria decision-making (MCDM) framework and questionnaire survey method was applied. It concludes with the results of different methods such as service quality (SERVQUAL), importance-performance analysis (IPA) and improvement factor (IF), to explain the significance of export business and where to improve their service quality post COVID-19. The result shows that the service quality factors of IPA model had wide-ranging reflection for LLPs to focus in comparison with SERVQUAL and IF to gauge the perception of automotive OEMs concerning the service quality of LLPs in the industry post COVID-19.
    Keywords: Service quality; emerging markets; COVID-19; Multi-criteria decision-making (MCDM); automotive parts export business; importance-performance analysis (IPA).

  • Innovation strategy, high-tech SMEs, and innovation ecosystems: a theoretical essay   Order a copy of this article
    by Marcos Ferasso 
    Abstract: How high-tech SMEs use innovations as strategic factors in a multilevel context of an innovation ecosystem? Driven by this research question, this theoretical essay aimed to establish theoretical relations among innovations, strategy, high-tech SMEs, and innovation ecosystems. We concluded that the reduction of uncertainties of high-tech industries and SMEs can be achieved through the resources exploitation and attraction from a multilevel perspective of innovation, the innovation ecosystem. We developed propositions that interrelate the themes and identified gaps on the use of innovations as strategy factors by high-tech SMES in an innovation ecosystem metaphor. Future quantitative, qualitative and mixed methods researches are recommended.
    Keywords: Innovation. Technology. Strategy. High-tech SMEs. Innovation ecosystem.

  • Mobile wallet app engagement and word of mouth recommendation: An exploration of antecedents   Order a copy of this article
    by Rishabh Shekhar, Uma Pricilda Jaidev 
    Abstract: The main aim of this study is to identify the factors influencing mobile wallet app engagement (MWAE) and examine those factors for segmenting users into different clusters. The researchers also wanted to determine if MWAE leads to word-of-mouth (WOM) recommendations. Previous research indicates that customization, knowledge, relative advantage, and compatibility could be possible antecedents of MWAE. Further, the mediating effects of trust and mobile wallet app usage in the relationship between MWAE and WOM recommendation were also examined. The findings of this study revealed that compatibility and relative advantage positively influences MWAE. The result supported a sequential mediation model between MEAE, and word of mouth recommendation through the mediators trust and mobile wallet app usage. Customization and knowledge do not moderator the relationship between compatibility and MWAE and relative advantage and MWAE. The entire users were segmented into three clusters based on the factors influencing the mobile wallet app engagement. The findings show that all the factors significantly differ across all three segments. Cluster 2 respondents significantly influence the mobile wallet app engagement that further leads to the word of mouth recommendations. Theoretical and practical implications are discussed. Future research directions and limitations have been suggested.
    Keywords: Mobile wallet app engagement; diffusion of innovation theory; word of mouth recommendation; structural equation modelling; cluster analysis.
    DOI: 10.1504/IJENM.2023.10041700
     
  • A comparative study of returns contract with no returns contract under monopoly and duopoly settings   Order a copy of this article
    by S. Yamini 
    Abstract: Manufacturers encourage the retailers to store more items by providing them a returns contract and protecting them against excess inventory. This study contemplates the distribution of products in a supply chain where the demand is sensitive to effort and price. Using a framework of game theory, the analysis highlights the impact of a manufacturer announcing a returns policy to the retailer when there is competition. Comparative analysis of offering a returns contract under competition with respect to no returns contract provides a better understanding about the repercussions and related facts on offering returns policy. Analytical results show that introducing returns policy under a monopolistic environment does not have an impact on the sales and it remains the same as in the case of no returns policy. On the other hand, introducing returns policy in duopolistic competition increases the manufacturers profit for the same wholesale price.
    Keywords: Supply chain management; Manufacturer’s returns contract; Retail competition; Price and effort sensitive demand; Game theoryrnrn.

  • Selection of Coating Material for AISI 304 L SS Using Fuzzy AHP-PROMETHEE II for Erosion Corrosion Applications   Order a copy of this article
    by Resmi V. Prasad, R. Rajesh 
    Abstract: Fluid handling equipment such as propellers, impellers, pumps, and pumps in warships and submarines all suffer from flow-based erosion-corrosion concerns. While numerous coating materials are available to counteract erosion-corrosion damage in the aforesaid components, iron-based amorphous coatings are thought to be more effective. This paper concentrates on the selection of the coating material for AISI 304L SS. In this investigation, WC-10Co-4Cr coating was deposited on stainless steel substrate using MCDM techniques to select the best alternative. Fuzzy analytic hierarchy process (FAHP) is the technique applied to calculate the weights of Criteria, and Preference Ranking Organisation Method for Enrichment Evaluation (PROMETHEE II) is utilised for ranking the Alternatives.
    Keywords: Corrosion; Fuzzy Analytic Hierarchy Process (AHP); MCDM; PROMETHEE; Erosion; Criteria weight; AISI 304L SS; Corrosion; Coating material; Alternatives.

  • Optimization of Drilling Process Parameters of Aluminium Matrix Composites (LM5/ZrO2)   Order a copy of this article
    by Jebarose Juliyana S, Udaya Prakash J 
    Abstract: Ceramics are incorporated into metal in the metal matrix composites (MMCs), which are tough to machine because of its abrasive quality. It is important to establish an effective technology for the efficacious machining of MMCs because of its future widespread use. The drilling of LM5 / ZrO2 composites employs Taguchi Technique to find the optimum machining parameters to minimize surface roughness. The stir casting process is used to make a novel composite prepared by combining LM5 aluminum alloy with Zirconia with three distinct weight percentages (3, 6 & 9). In the produced composites, the effect of input parameters such as spindle speed, feed rate, drill material and reinforcement percentage on surface roughness was studied using L27 Orthogonal array by conducting drilling operation in CNC machine. The research work was performed using the Taguchis Signal-to-Noise ratio approach. Response graphs were used to evaluate parametric effects. Analysis of Variance (ANOVA) was accompanied to find the related variables and assess their influence on the individualities of the response. Feed rate and Spindle speed are the most influential input parameters to achieve minimal surface roughness.
    Keywords: Surface Roughness; Drilling; Composites; ANOVA; Stir casting; Taguchi Technique.

  • Entrepreneurial Leadership and its impact on Agile Project Management   Order a copy of this article
    by Rajalakshmi Subramaniam, Sanjay Mohapatra, Margaret S 
    Abstract: The study examines the relationship between entrepreneurial leadership and agile project management and the role that innovative atmosphere plays in moderating the relationship with respect to the Small and Medium Enterprises in India, belonging to the Information technology sector. A quantitative approach has been adapted in this research. Random sampling has been employed to collect the primary quantitative data. Closed-ended survey questions were distributed to the SMEs belonging to the information technology sector and data was collected from 317 employees. .The data collected was subject to numerical analysis through structural equation modelling approach using AMOS software. The results reveal that innovative atmosphere positively moderates the relationship between the entrepreneurial leadership factors and the agile management.
    Keywords: : Innovative Atmosphere; Agile Management; Entrepreneurial Leadership; SMEs; Agile Project Management; APM.

  • Opinion Mining of Customers Reviews Using New Jaccard Dissimilarity Kernel Function   Order a copy of this article
    by Santhosh Kumar A, Punniyamoorthy M, Ernest Johnson 
    Abstract: Opinion mining (aka Sentiment mining) a subdivision of Text classification has become traction among researchers in recent decades, due to the popularity of its practical application in real time scenarios like product reviews, politics, movies etc. Various machine learning algorithms are used to identify the document or sentence opinions which are available in social space. SVM is one of the most popular supervised machine learning algorithms and uses kernel function to classify data when the data points are non-linearly separable. In this paper we have proposed a new Kernel function called Jaccard dissimilarity Kernel functions where the distance between the two binary vectors is classified based on principle of Jaccard coefficient. In our study we used this Jaccard Kernel function to classify the opinions of the recent Bollywood movie reviews in to positive and negative.
    Keywords: Opinion mining; Jaccard dissimilarity kernel; custom kernel functions; Movie Reviews; Web mining.

  • Development of Coating Material for Low Carbon Steels using MCDM   Order a copy of this article
    by Resmi V. Prasad, R. Rajesh 
    Abstract: Fluid handling equipment like propellers, impellers, pumps, and pumps in warships and submarines are all vulnerable to flow-based erosion and corrosion. While numerous coating materials are available to counteract erosion corrosion damage in the aforesaid components, iron- based amorphous coatings are thought to be more effective. This paper concentrates on the selection of the coating material for AISI 304L SS. In this investigation, WC-10Co-4Cr coating was selected on stainless steel substrate using MCDM techniques. Fuzzy analytic hierarchy process (FAHP) is the technique applied to calculate the weights of Criteria and Combinative Distance-Based Assessment Method (CODAS) is utilised for ranking the Alternatives.
    Keywords: Erosion-corrosion; Fuzzy Analytic Hierarchy Process (FAHP); MCDM; CODAS; Weight; AISI 304L SS; Coating material; Substrate.

  • An Emerging Approach towards Intention to Quit among IT Employees   Order a copy of this article
    by Ashish Kumar Biswas, Seethalakshmi R, Prabha Mariappan 
    Abstract: Research on traditional constructs towards intention to quit has been abundant while the impact of Activities in professional networking sites and updating of Profile in job portals in social media is in its infancy stage. The current research attempts to bridge this gap. A quantitative survey approach was used to collect the data (N=598). The structural Equation model is applied to test the hypothesized model. The cross-sectional survey is employed in this research. The findings suggest a frequent update of profile in job portals increases the activities in Professional networking sites which in turn influence towards intention to quit. The study implanted the implications of Activities in Professional networking sites and Profile in job portals towards the identification of hidden behavior of intention to quit among the respondents.
    Keywords: Professional Networking Sites; Job Portals; Intention to Quit; Job Satisfaction; Job Involvement; Organizational Commitment; SEM;.

  • Multi-Tier, Firm-Level Analysis of Auto Global Supply Chain: Centrality and Financial Performance   Order a copy of this article
    by Kayvan Lavassani, Bahar Movahedi 
    Abstract: Over the past few years in light of the COVID-19 pandemic, practitioners, academics and policymakers have started pay more attention to the consequences of globally extended supply chains on firms' performance, asset valuations and supply stability. Access to complex data and the advancements in network analytics have enabled researchers and practitioners to explore new horizons of global operations. These advancements have further contributed to the study of global supply chains from a business ecosystem perspective. Within this perspective, organizations can be studied using connected network analytics techniques. The present study explores the supply chain structure of the auto industry across five backward tiers. Based on the study of auto industry global supply chain along five backward tiers, this study explores the effect of firms' position in supply chain structure on the firms' profitability, asset risk, and price volatility. The research methods proposed in this study apply to any industry globally.
    Keywords: Auto industry; multi-tier supply chain; global supply chain network; business ecosystem; supply chain centrality.

  • Multi-objective optimization of Wear process parameters of 413/Fly Ash Composites using Grey Relational Analysis   Order a copy of this article
    by Udaya Prakash J, Jebarose Juliyana S, Rajesh R, Divya Sadhana A 
    Abstract: Composite materials are made by combining the qualities of two or more distinct materials of comparable attributes. Metal matrix composites have emerged as remarkable materials due to their superior characteristics when compared to other matrix composites. The most promising lightweight materials are composed of aluminium alloys, which are utilised in the marine, aerospace, and automotive industries, but their use is limited due to their average strength and moderate wear resistance. In terms of wear resistance, AMCs beat their monolithic counterparts that are unreinforced. Stir casting was used to produce Aluminium Matrix Composites made of 413 aluminium alloy with particulate fly ash reinforcements weighing 3 percent, 6 percent, and 9 percent. Wear tests were conducted in pin-on-disc wear tester following ASTM Standard G99-05 guidelines. The goal is to explore the effects of sliding speed, load, sliding distance, and reinforcing weight percentage on coefficient of friction and specific wear rate using ANOVA and Grey Relational Analysis. Sliding distance (18.48%), Load (17.39%) are the parameters which have extreme significance on composites GRG followed by sliding speed (10.33%) and reinforcement (4.35%). By using Grey Relational Analysis, wear behaviour can be predicted successfully.
    Keywords: Composites; Wear; Grey Relational Analysis; Design of Experiments; ANOVA.

  • Fashion Market Segmentation using Facebook: An Empirical Approach   Order a copy of this article
    by Sanjay Mohapatra, Satya Banerjee 
    Abstract: The purpose of this paper is to segment the Indian Facebook users into Fashion consumer segments based on their behavior and activities (like, post, share etc.) exhibited on Facebook and establish a relationship with their Fashion shopping behavior. An online survey was conducted in which 158 users participated. The respondents belong to different states in India within an age group between 16-50 years and are active users of Facebook. Fashion Consumer Market segments were thus, obtained and their characteristics have been defined, subsequently. Three Cluster of Facebook users are formed. Each of these clusters displays a set of characteristics and properties. The results give a clear idea about the consumer segments, which lie, on social media such as Facebook.
    Keywords: Social Media; Facebook; Market Segmentation; Cluster Analysis; Hierarchical Clustering; K-means Clustering.

Special Issue on: Transformations in Supply Chain and Network Systems in the New Normal

  • Prioritizing and Testing the Integrated Behavioural Model of Organizational Citizenship Behaviour through Fuzzy AHP and Structural Equation Modeling   Order a copy of this article
    by Arun Aggarwal, Vinay Kukreja, Kamrunnisha Nobi 
    Abstract: The present research aims to prioritize the factors that affect extra-role behaviour (OCB). To achieve this objective, the data were collected from 15 field experts and 559 employees working in the manufacturing industries of India. The fuzzy AHP technique prioritized the factors and structural equation modeling tested the proposed hypothesized relationships. The confirmatory factor analysis validates that leader-member exchange, procedural justice, and employee engagement are essential factors affecting organizational citizenship behaviour. Further, the results of Fuzzy AHP show that leader-member exchange ranked first, followed by procedural justice and employee engagement. The structural equation modeling result shows that perceived procedural justice and leader-member exchange positively impact employee engagement. The results further show that employee engagement has a positive impact on organizational citizenship behavior. The implications of the study can be used by the manufacturing industry as a benchmark for increasing the extra-role behaviour among the employees.
    Keywords: Leader-member Exchange; Employee Engagement; Organizational Citizenship Behaviour; Perceptions of Procedural Justice; Fuzzy AHP; Structural Equation Modeling.

  • ADOPTION OF LEAN SIX SIGMA TO IMPROVE SAFETY CULTURE-A CASE STUDY OF INDIAN MANUFACTURING UNIT   Order a copy of this article
    by Monica Agarwal, Sharad Chaturvedi, Deepa Kumari, Swati Bansal 
    Abstract: Lean Six Sigma (LSS) is a business process improvement strategy widely used to improve efficiencies in the business. LSS, which is an integration of Lean and Six Sigma, has helped decrease various non-value-added activities, including accidents. This research paper discusses the implementation of LSS methodology using define, measure, analyse, improve, control (DMAIC) to reduce accidents in a particular manufacturing unit into consideration. A framework of LSS - DMAIC approach was proposed to reduce accidents, improve key metrics and improve the overall safety culture. The techniques used were brainstorming, the cause-and-effect diagram and Pareto analysis. Two sample T-test was used to authenticate the results. The study's primary finding was the successful and effective implementation of the LSS framework in the manufacturing unit. As a result of the exercise, accidents that are non-value-added activities were reduced. The study is novel in nature, not only for theoretical implications but also for the practical approach applied to the manufacturing units
    Keywords: Manufacturing; Lean; Six Sigma; Lean Six Sigma (LSS); DMAIC; Safety.

  • Longitudinal assessment of green procurement practices adopted by manufacturing firms in an emerging economy using multivariate approach   Order a copy of this article
    by Ishani Patharia, Priya Sharma 
    Abstract: The Environmental Performance Index reveals that the environmental health and ecosystem vitality is critical in emerging economies of Asia. Therefore, green procurement policy has become an imperative component for the manufacturing firms. The present study critically assesses and examines the green procurement practices being adopted by the top 25 manufacturing firms in an emerging economy (which is amongst the top polluted countries of Asia) over a time period of eight years (2012-2019). The results of the study reveal that the adoption and reporting of green procurement practices is very poor. The study has practical implications for the development of pragmatic strategies by the government and the corporate strategy makers to improve the environmental performance of the manufacturing firms through green procurement practices.
    Keywords: disclosure practices; emerging economy; green procurement practices; green supply chain, manufacturing companies.

  • A Multi Criteria Decision (Fuzzy) approach for IoT adoption in developing Nation: A Study During Covid-19   Order a copy of this article
    by Sanjay Rastogi 
    Abstract: The wave of IT development and adoption has changed the global scenarios. In this race emerging economies are also competing with the developed economies. Internet of Things (IoT) is now touching everyones life. Irrespective of this growth and benefits, people from developing nations are still in fix to adopt life changing technology. This study was conducted in Covid-19 times when people were in lockdown and were becoming more dependent on technology. This study tries to understand the factors leading the adoption IoT in emerging economies. A Fuzzy-MCD approach was used to rank the factors resulted from CFA. Results advocated the importance of facilitating conditions to promote the usage and acceptance of technological change followed by IT expertise and Social Influence. Findings provided practical reference for authorities and policy makers involved in designing strategies for technology implementations and promotions.
    Keywords: AHP; Emerging Economy; Fuzzy; IoT; MCDA; UTAUT.

  • Distribution and Transportation Model for COVID-19 Vaccine   Order a copy of this article
    by Abhijeet Kumar, M. A. Shariful Amin, Hakan Tarakci, Victor Prybutok 
    Abstract: The pandemic that began in December 2019 in Wuhan, China has spread worldwide and infected millions of people across the globe. To combat COVID-19 scientists developed vaccines in record time. Without proper vaccine distribution, the country would suffer from low coverage rates and the virus would continue to spread. We are losing over three thousand lives each day to COVID 19, this means a single day of delay in the distribution of vaccine is costing thousands of innocent lives. In this paper we have formulated a distribution model using mixed integer programming (MIP) that maximizes the number of people vaccinated, minimizes the cost of transportation over the entire network while ensuring widespread access.
    Keywords: COVID-19; vaccine hub; vaccine supply chain; cost-effective; mixed integer programing (MIP); public health; covid-19 vaccine; distribution model; transportation model.

  • UNDERSTANDING THE INTERACTION AMONG MOTIVATORS OF ENTREPRENEURIAL ASPIRATION OF UNIVERSITY STUDENTS IN INDIA   Order a copy of this article
    by Amit Agrawal, Vanchan Tripathi, Pravin Bhoyar 
    Abstract: The objective of this paper is to study the motivators of entrepreneurial aspiration of university students in Indian scenario. Based on the literature review and followed by expert survey twelve (12) motivators are identified. This study adopted Interpretive Structural Modelling (ISM) technique to assess the interrelationship among the various motivators of entrepreneurial aspirations in the context of university students in India. The present study suggests that strong self-efficacy, need for achievement and entrepreneurship education are the prime motivators of entrepreneurial aspiration among university students in India. On the other hand, high motivation, propensity to create new business, entrepreneurship funding and entrepreneur identity creation are the dependent motivators and enjoy high dependence and weak driving power. This study provides useful insights to policy makers and universities on ways to focus on variables which are deemed critical for developing entrepreneurial aspirations among students.
    Keywords: Entrepreneurial aspirations; Interpretive Structural Modeling; Students; University; India.

  • Digital payment Apps: Perception and Adoption A Study of Higher Education Students   Order a copy of this article
    by Amit Arora, Ankit Panchal, Vijay Gupta, Dhruv Sharma 
    Abstract: With the advancement in technology and digitalization, they provide a pathway for the adoption of digital payment. The study aimed to determine the awareness, perception, and role of demonetization regarding the adoption of digital payment apps. The study collected the primary data through a structured questionnaire from 396 UG and PG students in the Ghaziabad district. The study found no significant difference between the expected and actual benefits of digital payment apps. Qualification and gender were found to be significant factors for the adoption of digital payment apps. Convenient, time-saving, and no need to carry cash are the main factors for adopting and using the Digital Payment App. Lack of trust, the risk associated with it, and unavailability of technical equipment are the reasons found by the study for not using digital payment apps. The study suggests ways for companies to build the trust of their customers to adopt digital payment apps.
    Keywords: Digital Payment; Demonetization; Online transactions; Digital Apps.

  • Role of Supply Chain Performance in Global Value Chain Creation in Covid 19: A Partial Least Square Modelling Framework for Emerging Economy   Order a copy of this article
    by SAHIL GUPTA, Geeti Shamra, Aastha Sawhney 
    Abstract: With the current times of high uncertainty specially in New Normal era, organisations are putting their best foot forward to retain their existing market share as well as capture new territories. Among all, Supply chain performance is playing a critical role and is becoming a key component in creating additional value to the organization specially in current era of gloablisation. This study aims to understand the role of Supply chain performance on Global value creation, where leading e-commerce sites were considered on the basis of Supply chain performance. The Partial Least Square Structural Modeling was used to test proposed as framework. Factors like Supply Chain Flexibility, Risk Management Capabilities, Customer Relationship Management emerged to be most important and crucial ones. Further studies can be conducted involving various sectors by considering the different state of affair of particular times.
    Keywords: Supply Chain Flexibility; Risk Management Capabilities; Customer Relationship Management; Social Sustainability Orientation; Supply Chain Performance; Global Supply Chain Value Creation.