Pub Date : 2023-03-15DOI: 10.1108/jgoss-03-2022-0021
Enoch Adusei, Emmanuel Demah, R. Boso
Purpose The novel COVID-19 supply chain disruption has globally altered the environmental needs of society. Against this backdrop, this paper aims to examine how top managers are environmentally committed to integrating green supply chain management (GSCM) practices in the operational performance of small- and medium-scale enterprises (SMEs) in Ghana, within the post-pandemic economy. Design/methodology/approach The study used a cross-sectional survey to obtain data from 270 SMEs in Ghana, using partial least squares (PLS) structural equation modelling to test seven hypothesized relationships. Findings The outcome of the analysis revealed that top management environmental commitment has a significantly positive effect on supply chain operational performance. The structural model also revealed that top management environmental commitment has a positive and significant effect on both internal and external GSCM practices. The results further revealed that both internal and external GSCM practices have positive and significant effects on supply chain operational performance. Finally, both internal and external GSCM practices mediate the path between top management environmental commitment and supply chain operational performance. Research limitations/implications The study provides a novel framework which contributes to both theoretical studies and managerial decisions on COVID-19 related supply chain management issues. However, the study was limited to the Ghanaian context, thus, further related studies are required in other contexts. Originality/value This study provides a novel framework by elucidating the intervening role of GSCM practices in the path between top management environmental commitment and supply chain operations in an emerging post-pandemic world context.
{"title":"Top management commitment in greening supply chain operations: post-COVID-19 perspectives from an emerging economy","authors":"Enoch Adusei, Emmanuel Demah, R. Boso","doi":"10.1108/jgoss-03-2022-0021","DOIUrl":"https://doi.org/10.1108/jgoss-03-2022-0021","url":null,"abstract":"\u0000Purpose\u0000The novel COVID-19 supply chain disruption has globally altered the environmental needs of society. Against this backdrop, this paper aims to examine how top managers are environmentally committed to integrating green supply chain management (GSCM) practices in the operational performance of small- and medium-scale enterprises (SMEs) in Ghana, within the post-pandemic economy.\u0000\u0000\u0000Design/methodology/approach\u0000The study used a cross-sectional survey to obtain data from 270 SMEs in Ghana, using partial least squares (PLS) structural equation modelling to test seven hypothesized relationships.\u0000\u0000\u0000Findings\u0000The outcome of the analysis revealed that top management environmental commitment has a significantly positive effect on supply chain operational performance. The structural model also revealed that top management environmental commitment has a positive and significant effect on both internal and external GSCM practices. The results further revealed that both internal and external GSCM practices have positive and significant effects on supply chain operational performance. Finally, both internal and external GSCM practices mediate the path between top management environmental commitment and supply chain operational performance.\u0000\u0000\u0000Research limitations/implications\u0000The study provides a novel framework which contributes to both theoretical studies and managerial decisions on COVID-19 related supply chain management issues. However, the study was limited to the Ghanaian context, thus, further related studies are required in other contexts.\u0000\u0000\u0000Originality/value\u0000This study provides a novel framework by elucidating the intervening role of GSCM practices in the path between top management environmental commitment and supply chain operations in an emerging post-pandemic world context.\u0000","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45931717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-06DOI: 10.1108/jgoss-05-2022-0045
Punsara Hettiarachchi, Subodha Dharmapriya, A. Kulatunga
Purpose This study aims to minimize the transportation-related cost in distribution while utilizing a heterogeneous fixed fleet to deliver distinct demand at different geographical locations with a proper workload balancing approach. An increased cost in distribution is a major problem for many companies due to the absence of efficient planning methods to overcome operational challenges in distinct distribution networks. The problem addressed in this study is to minimize the transportation-related cost in distribution while using a heterogeneous fixed fleet to deliver distinct demand at different geographical locations with a proper workload balancing approach which has not gained the adequate attention in the literature. Design/methodology/approach This study formulated the transportation problem as a vehicle routing problem with a heterogeneous fixed fleet and workload balancing, which is a combinatorial optimization problem of the NP-hard category. The model was solved using both the simulated annealing and a genetic algorithm (GA) adopting distinct local search operators. A greedy approach has been used in generating an initial solution for both algorithms. The paired t-test has been used in selecting the best algorithm. Through a number of scenarios, the baseline conditions of the problem were further tested investigating the alternative fleet compositions of the heterogeneous fleet. Results were analyzed using analysis of variance (ANOVA) and Hsu’s MCB methods to identify the best scenario. Findings The solutions generated by both algorithms were subjected to the t-test, and the results revealed that the GA outperformed in solution quality in planning a heterogeneous fleet for distribution with load balancing. Through a number of scenarios, the baseline conditions of the problem were further tested investigating the alternative fleet utilization with different compositions of the heterogeneous fleet. Results were analyzed using ANOVA and Hsu’s MCB method and found that removing the lowest capacities trucks enhances the average vehicle utilization with reduced travel distance. Research limitations/implications The developed model has considered both planning of heterogeneous fleet and the requirement of work load balancing which are very common industry needs, however, have not been addressed adequately either individually or collectively in the literature. The adopted solution methodologies to solve the NP-hard distribution problem consist of metaheuristics, statistical analysis and scenario analysis are another significant contribution. The planning of distribution operations not only addresses operational-level decision, through a scenario analysis, but also strategic-level decision has also been considered. Originality/value The planning of distribution operations not only addresses operational-level decisions, but also strategic-level decisions conducting a scenario analysis.
{"title":"Planning of a distribution network utilizing a heterogeneous fixed fleet with a balanced workload","authors":"Punsara Hettiarachchi, Subodha Dharmapriya, A. Kulatunga","doi":"10.1108/jgoss-05-2022-0045","DOIUrl":"https://doi.org/10.1108/jgoss-05-2022-0045","url":null,"abstract":"\u0000Purpose\u0000This study aims to minimize the transportation-related cost in distribution while utilizing a heterogeneous fixed fleet to deliver distinct demand at different geographical locations with a proper workload balancing approach. An increased cost in distribution is a major problem for many companies due to the absence of efficient planning methods to overcome operational challenges in distinct distribution networks. The problem addressed in this study is to minimize the transportation-related cost in distribution while using a heterogeneous fixed fleet to deliver distinct demand at different geographical locations with a proper workload balancing approach which has not gained the adequate attention in the literature.\u0000\u0000\u0000Design/methodology/approach\u0000This study formulated the transportation problem as a vehicle routing problem with a heterogeneous fixed fleet and workload balancing, which is a combinatorial optimization problem of the NP-hard category. The model was solved using both the simulated annealing and a genetic algorithm (GA) adopting distinct local search operators. A greedy approach has been used in generating an initial solution for both algorithms. The paired t-test has been used in selecting the best algorithm. Through a number of scenarios, the baseline conditions of the problem were further tested investigating the alternative fleet compositions of the heterogeneous fleet. Results were analyzed using analysis of variance (ANOVA) and Hsu’s MCB methods to identify the best scenario.\u0000\u0000\u0000Findings\u0000The solutions generated by both algorithms were subjected to the t-test, and the results revealed that the GA outperformed in solution quality in planning a heterogeneous fleet for distribution with load balancing. Through a number of scenarios, the baseline conditions of the problem were further tested investigating the alternative fleet utilization with different compositions of the heterogeneous fleet. Results were analyzed using ANOVA and Hsu’s MCB method and found that removing the lowest capacities trucks enhances the average vehicle utilization with reduced travel distance.\u0000\u0000\u0000Research limitations/implications\u0000The developed model has considered both planning of heterogeneous fleet and the requirement of work load balancing which are very common industry needs, however, have not been addressed adequately either individually or collectively in the literature. The adopted solution methodologies to solve the NP-hard distribution problem consist of metaheuristics, statistical analysis and scenario analysis are another significant contribution. The planning of distribution operations not only addresses operational-level decision, through a scenario analysis, but also strategic-level decision has also been considered.\u0000\u0000\u0000Originality/value\u0000The planning of distribution operations not only addresses operational-level decisions, but also strategic-level decisions conducting a scenario analysis.\u0000","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47059035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-27DOI: 10.1108/jgoss-06-2022-0076
C. Silva, Dilini Dineshika Rathnayaka, M.A.K.E. Fernando
Purpose This study aims to evaluate the adoption of four types of supplier sustainability risk management (SSRM) strategies, namely, risk avoidance (RA), risk acceptance (RAC), collaboration-based risk mitigation (CBM) and monitoring-based risk mitigation (MBM) in Sri Lankan apparel and retail industries, and to investigate their effect on supply chain performance (SCP). Design/methodology/approach This study uses the dynamic capability view (DCV) to develop its hypotheses. Data collected from 89 firms were analysed using partial least square (PLS) structural equation modelling and PLS-based multiple group analysis. Findings Sri Lankan apparel and retail firms adopt RA and MBM strategies relatively more than CBM and RAC strategies, whereas there is no significant difference between the two industries in terms of the use of SSRM strategies. The path analysis revealed significant effects of RA and RAC strategies on SCP of both industries. The effect of CBM strategy on SCP is moderated by industry, while MBM has no significant impact. Research limitations/implications While managing supplier sustainability risks effectively, RA and RAC strategies provide more opportunities for managers to improve SCP. In achieving SCP, CBM strategies are proven to be more effective for retail industry compared with the apparel sector. Although MBM strategies offer sustainability advantages to firms, their contribution to improving the performance of apparel and retail supply chains is not significant. This research is limited to only two industries (apparel and retail) in Sri Lanka, where the evidence for the effects of SSRM strategies is not available for other contexts. Originality/value Either the effects of the four types of SSRM strategies on SCP or the moderating effect of industry on these effects have not been empirically confirmed in the literature. Evaluating the extent to which different strategies are implemented in Sri Lankan apparel and retail industries is another significant contribution of this research. Furthermore, this study contributes by using DCV to a sustainability-based supply chain risk management research.
{"title":"The effect of supplier sustainability risk management strategies on supply chain performance","authors":"C. Silva, Dilini Dineshika Rathnayaka, M.A.K.E. Fernando","doi":"10.1108/jgoss-06-2022-0076","DOIUrl":"https://doi.org/10.1108/jgoss-06-2022-0076","url":null,"abstract":"\u0000Purpose\u0000This study aims to evaluate the adoption of four types of supplier sustainability risk management (SSRM) strategies, namely, risk avoidance (RA), risk acceptance (RAC), collaboration-based risk mitigation (CBM) and monitoring-based risk mitigation (MBM) in Sri Lankan apparel and retail industries, and to investigate their effect on supply chain performance (SCP).\u0000\u0000\u0000Design/methodology/approach\u0000This study uses the dynamic capability view (DCV) to develop its hypotheses. Data collected from 89 firms were analysed using partial least square (PLS) structural equation modelling and PLS-based multiple group analysis.\u0000\u0000\u0000Findings\u0000Sri Lankan apparel and retail firms adopt RA and MBM strategies relatively more than CBM and RAC strategies, whereas there is no significant difference between the two industries in terms of the use of SSRM strategies. The path analysis revealed significant effects of RA and RAC strategies on SCP of both industries. The effect of CBM strategy on SCP is moderated by industry, while MBM has no significant impact.\u0000\u0000\u0000Research limitations/implications\u0000While managing supplier sustainability risks effectively, RA and RAC strategies provide more opportunities for managers to improve SCP. In achieving SCP, CBM strategies are proven to be more effective for retail industry compared with the apparel sector. Although MBM strategies offer sustainability advantages to firms, their contribution to improving the performance of apparel and retail supply chains is not significant. This research is limited to only two industries (apparel and retail) in Sri Lanka, where the evidence for the effects of SSRM strategies is not available for other contexts.\u0000\u0000\u0000Originality/value\u0000Either the effects of the four types of SSRM strategies on SCP or the moderating effect of industry on these effects have not been empirically confirmed in the literature. Evaluating the extent to which different strategies are implemented in Sri Lankan apparel and retail industries is another significant contribution of this research. Furthermore, this study contributes by using DCV to a sustainability-based supply chain risk management research.\u0000","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41344198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-09DOI: 10.1108/jgoss-06-2022-0054
P. Joshi, Vijaishri Tewari, Shailendra Kumar, Anshul Singh
Purpose Blockchain technology (BCT) is one of the latest disruptive innovations, brought along with-it immense scope of diverse applications contributing towards sustainable development (SD). The consistent increase in the publications reveal that the application of BCT for SD has become popular among researchers and practitioners in past few years, in turn, urged for a systematic literature review (SLR) to get an insight into the research journey travelled so far and setting directions for future research in this area. Therefore, this study aims to identify, map and synthesize the available literature on application of BCT for SD. Design/methodology/approach The automatic and manual search resulted into 1,277 studies from Scopus and Web of Science database. Further applying inclusion and exclusion criterion resulted in bringing out total of 157 studies, which were termed as primary studies. Based on the results of descriptive analysis, conducted through Bibliometric and VOSviewer software, the characteristics of BCT and its key capabilities, contributing towards shaping the recent SD literature, were critically examined. Identified research themes for clustering primary studies were aligned with United Nations Sustainability Development Goals (UNSDG). A mind-map was also prepared on the basis of thematic classification of primary studies. Findings The research themes “business practice and economic sustainability”, “agriculture and food security” and “business practice and environment sustainability” were found to be the focal points of scholarly attention. Synthesis and analysis of primary studies resulted into classification of research gaps under four categories – theoretical foundation, methodological limitation, research themes and technology implementation challenges. The study was concluded by sensitizing and sanitizing the concrete research questions for future research. Research limitations/implications The research findings shall be a roadmap for research scholars, academicians and practitioners to comprehend the present state of knowledge in the domain of “BCT application for SD” and decide upon adopting the future course of action to attain the UNSDGs by the year 2030. Originality/value To the best of the authors’ knowledge, the current study is the first attempt in its own sense to analyse and synthesize the available literature on “attaining SD through BCT” using SLR approach.
目的区块链技术（BCT）是最新的颠覆性创新之一，为可持续发展带来了巨大的多样性应用。出版物的持续增加表明，在过去几年中，BCT在SD中的应用在研究人员和从业者中变得很受欢迎，反过来，他们敦促进行系统的文献综述（SLR），以深入了解迄今为止的研究历程，并为该领域的未来研究设定方向。因此，本研究旨在识别、绘制和综合关于BCT应用于SD的现有文献。设计/方法/方法。自动和手动搜索Scopus和Web of Science数据库中的1277项研究。进一步应用纳入和排除标准，共进行了157项研究，这些研究被称为初级研究。基于通过Bibliometric和VOSviewer软件进行的描述性分析结果，对BCT的特征及其关键能力进行了批判性的研究，这些特征及其关键功能有助于塑造最近的SD文献。已确定的初步研究集群研究主题符合联合国可持续发展目标。还根据初级研究的主题分类编制了思维导图。发现研究主题“商业实践与经济可持续性”、“农业与粮食安全”和“商业实践和环境可持续性”是学术界关注的焦点。通过对主要研究的综合和分析，将研究差距分为四类——理论基础、方法限制、研究主题和技术实施挑战。这项研究是通过对未来研究的具体研究问题进行敏感和净化而得出的。研究局限性/含义研究结果应为研究学者、院士和从业者提供路线图，以了解“BCT申请SD”领域的知识现状，并决定采取未来行动，在2030年前达到UNSDG，目前的研究是第一次尝试用单反方法分析和综合关于“通过BCT实现SD”的现有文献。
{"title":"Blockchain technology for sustainable development: a systematic literature review","authors":"P. Joshi, Vijaishri Tewari, Shailendra Kumar, Anshul Singh","doi":"10.1108/jgoss-06-2022-0054","DOIUrl":"https://doi.org/10.1108/jgoss-06-2022-0054","url":null,"abstract":"\u0000Purpose\u0000Blockchain technology (BCT) is one of the latest disruptive innovations, brought along with-it immense scope of diverse applications contributing towards sustainable development (SD). The consistent increase in the publications reveal that the application of BCT for SD has become popular among researchers and practitioners in past few years, in turn, urged for a systematic literature review (SLR) to get an insight into the research journey travelled so far and setting directions for future research in this area. Therefore, this study aims to identify, map and synthesize the available literature on application of BCT for SD.\u0000\u0000\u0000Design/methodology/approach\u0000The automatic and manual search resulted into 1,277 studies from Scopus and Web of Science database. Further applying inclusion and exclusion criterion resulted in bringing out total of 157 studies, which were termed as primary studies. Based on the results of descriptive analysis, conducted through Bibliometric and VOSviewer software, the characteristics of BCT and its key capabilities, contributing towards shaping the recent SD literature, were critically examined. Identified research themes for clustering primary studies were aligned with United Nations Sustainability Development Goals (UNSDG). A mind-map was also prepared on the basis of thematic classification of primary studies.\u0000\u0000\u0000Findings\u0000The research themes “business practice and economic sustainability”, “agriculture and food security” and “business practice and environment sustainability” were found to be the focal points of scholarly attention. Synthesis and analysis of primary studies resulted into classification of research gaps under four categories – theoretical foundation, methodological limitation, research themes and technology implementation challenges. The study was concluded by sensitizing and sanitizing the concrete research questions for future research.\u0000\u0000\u0000Research limitations/implications\u0000The research findings shall be a roadmap for research scholars, academicians and practitioners to comprehend the present state of knowledge in the domain of “BCT application for SD” and decide upon adopting the future course of action to attain the UNSDGs by the year 2030.\u0000\u0000\u0000Originality/value\u0000To the best of the authors’ knowledge, the current study is the first attempt in its own sense to analyse and synthesize the available literature on “attaining SD through BCT” using SLR approach.\u0000","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48245818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-03DOI: 10.1108/jgoss-12-2021-0103
S. Prakash, Anubhav Arora, Nilaish Nilaish, C. Prakash, Ashish Srivastava
Purpose The purpose of this study is to address supplier evaluation and selection in a constrained environment of advance purchasing. The study presents the potential solutions to supplier evaluation and selection issues in the Indian automobile sector where advance purchases are carried out to fulfill the supply chain demand. Design/methodology/approach Based on the literature review and expert elicitation, nine major factors which are responsible for the successful implementation of supplier selection in a constrained environment of advance purchasing are identified. This paper explores supplier selection in constrained environment issues based on an integrated method based on Shannon entropy, analytic hierarchy process (AHP) techniques and failure mode effects analysis (FMEA). Findings Analysis of the results of the study suggests that traditional suppliers are not suitable in advance purchasing scenarios; hence, criteria developed in this paper to accommodate the requirement of advance purchasing with possible risk considerations are of high importance. This research paper is an original attempt to develop supplier selection criteria for advance purchasing with special identification of deliverability, flexibility, innovation and productivity factors through a case demonstration. Research limitations/implications This study uses data from secondary sources, literature reviews and expert opinions. It formalizes the important factors of successful supplier selection in the constrained environment of advance purchasing in the automotive industry context. Practical implications The paper shows how the engagement of suppliers through advance purchasing helps automotive companies in developing a competitive advantage. The integrated approach of Shannon entropy, AHP techniques and FMEA is an effective and useful method that can be applied to the supplier selection process. Originality/value The proposed FMEA-AHP method integrated with Shannon entropy used for evaluation represents a useful tool to embrace the suitable functioning tactics for efficient supplier selection. The study is unique as supplier evaluation and selection in a constrained environment of advance purchasing is not investigated much and has good industry applicability.
{"title":"Supplier evaluation and selection in the constrained environment of advance purchasing","authors":"S. Prakash, Anubhav Arora, Nilaish Nilaish, C. Prakash, Ashish Srivastava","doi":"10.1108/jgoss-12-2021-0103","DOIUrl":"https://doi.org/10.1108/jgoss-12-2021-0103","url":null,"abstract":"\u0000Purpose\u0000The purpose of this study is to address supplier evaluation and selection in a constrained environment of advance purchasing. The study presents the potential solutions to supplier evaluation and selection issues in the Indian automobile sector where advance purchases are carried out to fulfill the supply chain demand.\u0000\u0000\u0000Design/methodology/approach\u0000Based on the literature review and expert elicitation, nine major factors which are responsible for the successful implementation of supplier selection in a constrained environment of advance purchasing are identified. This paper explores supplier selection in constrained environment issues based on an integrated method based on Shannon entropy, analytic hierarchy process (AHP) techniques and failure mode effects analysis (FMEA).\u0000\u0000\u0000Findings\u0000Analysis of the results of the study suggests that traditional suppliers are not suitable in advance purchasing scenarios; hence, criteria developed in this paper to accommodate the requirement of advance purchasing with possible risk considerations are of high importance. This research paper is an original attempt to develop supplier selection criteria for advance purchasing with special identification of deliverability, flexibility, innovation and productivity factors through a case demonstration.\u0000\u0000\u0000Research limitations/implications\u0000This study uses data from secondary sources, literature reviews and expert opinions. It formalizes the important factors of successful supplier selection in the constrained environment of advance purchasing in the automotive industry context.\u0000\u0000\u0000Practical implications\u0000The paper shows how the engagement of suppliers through advance purchasing helps automotive companies in developing a competitive advantage. The integrated approach of Shannon entropy, AHP techniques and FMEA is an effective and useful method that can be applied to the supplier selection process.\u0000\u0000\u0000Originality/value\u0000The proposed FMEA-AHP method integrated with Shannon entropy used for evaluation represents a useful tool to embrace the suitable functioning tactics for efficient supplier selection. The study is unique as supplier evaluation and selection in a constrained environment of advance purchasing is not investigated much and has good industry applicability.\u0000","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42390123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-18DOI: 10.1108/jgoss-04-2022-0032
J. Rana, Suketu Y. Jani
Purpose The COVID-19 pandemic era has severely hampered the economy over the globe. However, the manufacturing organizations across all the countries have struggled heavily, as they were among the least who worked on online mode. The organizations are adopting various innovative quality methodologies to improve their performance. In this regard, they are adopting the Sustainable Lean Six Sigma (SLSS) concept and Industry 4.0 technologies to develop products at a faster rate. The use of Industry 4.0 technologies may reduce material movement and supply chain disruptions with the help of smart intelligent systems. There is a strong synergy between SLSS and Industry 4.0 technologies, resulting in an integrated approach for adoption. This study aims to develop a framework that practitioners can use to adopt Industry 4.0-SLSS practices effectively. Design/methodology/approach This study portrays 31 Industry 4.0-SLSS practices and 22 performance metrics identified through a literature review to improve the manufacturing supply chain performance. To compute the weights of these practices, the Robust Best–Worst Method (RBWM) is used. The Pythagorean fuzzy combined compromise solution (PF-CoCoSo) method is used to rank performance metrics. Findings According to the RBWM results, “Process Development Practices (PDP)” are first among the major criteria, followed by “Organizational Management Practices (OMP)” at second, “Technology Adoption Practices (TAP)” at third, “Strategy Management Practices (SMP)” at fourth and “Executive Management Practices (EMP)” at fifth, whereas the PF-CoCoSo method resulted in the performance metric “On time product delivery” ranking first. Research limitations/implications The identified practices have the potential to significantly improve the performance of the manufacturing supply chain. Practices that encourage a sustainable manufacturing supply chain and the usage of emerging technology will benefit organizational effectiveness. Managers can assess performance using prioritized performance metrics. Originality/value During the COVID-19 pandemic era, this is one of the unique attempts to provide a framework to improve the manufacturing supply chain performance. This study integrates and identifies Industry 4.0-SLSS practices and performance metrics for enhancing overall performance.
{"title":"An integrated Industry 4.0-Sustainable Lean Six Sigma framework to improve supply chain performance: a decision support study from COVID-19 lessons","authors":"J. Rana, Suketu Y. Jani","doi":"10.1108/jgoss-04-2022-0032","DOIUrl":"https://doi.org/10.1108/jgoss-04-2022-0032","url":null,"abstract":"\u0000Purpose\u0000The COVID-19 pandemic era has severely hampered the economy over the globe. However, the manufacturing organizations across all the countries have struggled heavily, as they were among the least who worked on online mode. The organizations are adopting various innovative quality methodologies to improve their performance. In this regard, they are adopting the Sustainable Lean Six Sigma (SLSS) concept and Industry 4.0 technologies to develop products at a faster rate. The use of Industry 4.0 technologies may reduce material movement and supply chain disruptions with the help of smart intelligent systems. There is a strong synergy between SLSS and Industry 4.0 technologies, resulting in an integrated approach for adoption. This study aims to develop a framework that practitioners can use to adopt Industry 4.0-SLSS practices effectively.\u0000\u0000\u0000Design/methodology/approach\u0000This study portrays 31 Industry 4.0-SLSS practices and 22 performance metrics identified through a literature review to improve the manufacturing supply chain performance. To compute the weights of these practices, the Robust Best–Worst Method (RBWM) is used. The Pythagorean fuzzy combined compromise solution (PF-CoCoSo) method is used to rank performance metrics.\u0000\u0000\u0000Findings\u0000According to the RBWM results, “Process Development Practices (PDP)” are first among the major criteria, followed by “Organizational Management Practices (OMP)” at second, “Technology Adoption Practices (TAP)” at third, “Strategy Management Practices (SMP)” at fourth and “Executive Management Practices (EMP)” at fifth, whereas the PF-CoCoSo method resulted in the performance metric “On time product delivery” ranking first.\u0000\u0000\u0000Research limitations/implications\u0000The identified practices have the potential to significantly improve the performance of the manufacturing supply chain. Practices that encourage a sustainable manufacturing supply chain and the usage of emerging technology will benefit organizational effectiveness. Managers can assess performance using prioritized performance metrics.\u0000\u0000\u0000Originality/value\u0000During the COVID-19 pandemic era, this is one of the unique attempts to provide a framework to improve the manufacturing supply chain performance. This study integrates and identifies Industry 4.0-SLSS practices and performance metrics for enhancing overall performance.\u0000","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46333289","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-04DOI: 10.1108/jgoss-02-2022-0009
P. Hilletofth, O. Hilmola
Purpose Globalization and the importance of emerging markets have increased the pressure of high-cost manufacturing locations to sustain operations. However, there are still some countries in which manufacturing is prospering despite high costs (like Germany, Sweden and Switzerland). This study examines seven competitive priorities through 24 different capabilities, using a case survey of four manufacturing companies located in Sweden. This study aims to develop a contemporary understanding from vital priorities and capabilities. Design/methodology/approach A case survey was conducted in four different-sized manufacturing companies in Sweden during the autumn of 2018. In total, the survey attracted 89 responses. Respondents were mainly middle managers and other management team members. Findings In general, companies assess the importance of manufacturing capabilities higher than performance and improvement. The authors’ analysis shows that quality priority through product and process capabilities is ranked highest in terms of importance, performance and improvement. In addition, delivery capability shows a similarity with quality. At the other end, being lowest ranked are typically different flexibility and advertising capabilities. This study demonstrates with correlation analysis that most often capabilities have a positive correlation in terms of their importance, performance and improvement needs. Some capabilities show potential correlations across importance, performance and improvement. Research limitations/implications This research is limited to one high-cost environment and to four companies within that environment. Further research should examine the impact of the pandemic era on manufacturing priorities and capabilities. Originality/value In general, case surveys have relatively rarely been used in management studies. This research offers an alternative and deeper perspective from high-cost country manufacturing, as the responses are from numerous persons in management positions.
{"title":"Competitive priorities and capabilities: high-cost country case survey","authors":"P. Hilletofth, O. Hilmola","doi":"10.1108/jgoss-02-2022-0009","DOIUrl":"https://doi.org/10.1108/jgoss-02-2022-0009","url":null,"abstract":"\u0000Purpose\u0000Globalization and the importance of emerging markets have increased the pressure of high-cost manufacturing locations to sustain operations. However, there are still some countries in which manufacturing is prospering despite high costs (like Germany, Sweden and Switzerland). This study examines seven competitive priorities through 24 different capabilities, using a case survey of four manufacturing companies located in Sweden. This study aims to develop a contemporary understanding from vital priorities and capabilities.\u0000\u0000\u0000Design/methodology/approach\u0000A case survey was conducted in four different-sized manufacturing companies in Sweden during the autumn of 2018. In total, the survey attracted 89 responses. Respondents were mainly middle managers and other management team members.\u0000\u0000\u0000Findings\u0000In general, companies assess the importance of manufacturing capabilities higher than performance and improvement. The authors’ analysis shows that quality priority through product and process capabilities is ranked highest in terms of importance, performance and improvement. In addition, delivery capability shows a similarity with quality. At the other end, being lowest ranked are typically different flexibility and advertising capabilities. This study demonstrates with correlation analysis that most often capabilities have a positive correlation in terms of their importance, performance and improvement needs. Some capabilities show potential correlations across importance, performance and improvement.\u0000\u0000\u0000Research limitations/implications\u0000This research is limited to one high-cost environment and to four companies within that environment. Further research should examine the impact of the pandemic era on manufacturing priorities and capabilities.\u0000\u0000\u0000Originality/value\u0000In general, case surveys have relatively rarely been used in management studies. This research offers an alternative and deeper perspective from high-cost country manufacturing, as the responses are from numerous persons in management positions.\u0000","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47445226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-29DOI: 10.1108/jgoss-06-2022-0060
A. Sahu, Sri Yogi Kottala, H. K. Narang, M. S. Rajput
Purpose Supply chain management (SCM)-embedded valuable resources, such as capital, raw-materials, products, partners, customers and finished inventories, where the evaluation of environmental texture and flexibilities are needed to perceive sustainability. The present study aims to identify and evaluate the directory of green and agile (G-A) attributes based on decision support framework (DSF) for identifying dominating measures in SCM. Design/methodology/approach DSF is developed by exploiting generalized interval valued trapezoidal fuzzy numbers (GIVTFNs). Two technical approaches, i.e. degree of similarity approach (DSA) and distance approach (DA) under the extent boundaries of GIVTFNs, are implicated for data analytics and for recognizing constructive G-A measures based on comparative study for robust decision. A fuzzy-based performance indicator, i.e. fuzzy performance important index (FPII), is presented to enumerate the weak and strong G-A characteristics to manage knowledge risks in allied business environment. Findings The modeling is illustrated from the insights of decision-makers for augmenting business value based on cognitive identification of measures, where the best performance score is identified by the “sustainable packaging” under the traits of green supply chain management (GSCM). “The use of Web-based applications” under the traits of agile supply chain management (ASCM) and “Outsourcing flexibility” under traits of ASCM is found as the second and third most significant performance characteristics for business sustainability. Additionally, the “Reutilization (recycling) and reprocessing” under GSCM in manufacturing and “Responsiveness and speed toward customers needs” under ASCM are found difficult in attainment. Research limitations/implications The G-A evaluation will assist in attaining performance excellence in day-to-day operations and overall functioning. The outcomes will help executives to plan strategic objectives and attaining success. Originality/value To reinforce the capabilities of SCM, wide extent of G-A dimensions are presented, concept of FPII is reported to manage knowledge risks based on identification of strong attributes and two technical approaches, i.e. DSA and DA under GIVTFNs are presented for attaining robust decision and directing managerial decision-making process.
{"title":"Intertwining green SCM- and agile SCM-based decision-making framework for sustainability using GIVTFNs","authors":"A. Sahu, Sri Yogi Kottala, H. K. Narang, M. S. Rajput","doi":"10.1108/jgoss-06-2022-0060","DOIUrl":"https://doi.org/10.1108/jgoss-06-2022-0060","url":null,"abstract":"\u0000Purpose\u0000Supply chain management (SCM)-embedded valuable resources, such as capital, raw-materials, products, partners, customers and finished inventories, where the evaluation of environmental texture and flexibilities are needed to perceive sustainability. The present study aims to identify and evaluate the directory of green and agile (G-A) attributes based on decision support framework (DSF) for identifying dominating measures in SCM.\u0000\u0000\u0000Design/methodology/approach\u0000DSF is developed by exploiting generalized interval valued trapezoidal fuzzy numbers (GIVTFNs). Two technical approaches, i.e. degree of similarity approach (DSA) and distance approach (DA) under the extent boundaries of GIVTFNs, are implicated for data analytics and for recognizing constructive G-A measures based on comparative study for robust decision. A fuzzy-based performance indicator, i.e. fuzzy performance important index (FPII), is presented to enumerate the weak and strong G-A characteristics to manage knowledge risks in allied business environment.\u0000\u0000\u0000Findings\u0000The modeling is illustrated from the insights of decision-makers for augmenting business value based on cognitive identification of measures, where the best performance score is identified by the “sustainable packaging” under the traits of green supply chain management (GSCM). “The use of Web-based applications” under the traits of agile supply chain management (ASCM) and “Outsourcing flexibility” under traits of ASCM is found as the second and third most significant performance characteristics for business sustainability. Additionally, the “Reutilization (recycling) and reprocessing” under GSCM in manufacturing and “Responsiveness and speed toward customers needs” under ASCM are found difficult in attainment.\u0000\u0000\u0000Research limitations/implications\u0000The G-A evaluation will assist in attaining performance excellence in day-to-day operations and overall functioning. The outcomes will help executives to plan strategic objectives and attaining success.\u0000\u0000\u0000Originality/value\u0000To reinforce the capabilities of SCM, wide extent of G-A dimensions are presented, concept of FPII is reported to manage knowledge risks based on identification of strong attributes and two technical approaches, i.e. DSA and DA under GIVTFNs are presented for attaining robust decision and directing managerial decision-making process.\u0000","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45109512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-29DOI: 10.1108/jgoss-06-2022-0064
Nikhil Ghag, Padmanav Acharya, V. Khanapuri
Purpose It is critical for small and medium-scale enterprises (SMEs) to review and monitor sustainability performance indicators across three dimensions: economic, environmental and social to attain long-term competitiveness. SMEs lack a holistic perspective on sustainability; they are frequently hindered from contemplating environmentally favorable investments beyond what is legally needed. The purpose of this paper is to present a joint Decision-making trial and Evaluation Laboratory (DEMATEL) and NK methodology for developing a process model for introducing and implementing sustainable competitiveness practices for SMEs. Design/methodology/approach This study addresses the issue by adopting a sustainable competitiveness practices framework and applying a novel method that integrates DEMATEL and NK model for evaluating and developing the implementation path model for Indian manufacturing SMEs. Findings This paper also demonstrates that not only the relational practice itself but also the order in which the relational practices are implemented can be related to performance. According to the authors' preliminary findings, organizations in this study should first implement a social dimension, which includes sustainable leadership, knowledge sharing, etc., then an economic dimension like quality, sustainable innovations, etc., and finally environmental dimensions like green marketing, solid waste reduction, etc., with their management for competitiveness. Research limitations/implications These findings offer some preliminary information as well as advice for managers and policymakers looking to integrate sustainable efforts. Practical implications This study asserts that not only the interdependent practice but also the sequence of implementation is important and can relate to the performance. The path result shows that the organization develops first sustainable design and product development (economic), sustainable leadership (social) and solid waste reduction (environmental) practices. Originality/value There is no such study that develops a process model for introducing and implementing sustainable competitiveness of SMEs which assesses and analyzes the interdependencies across relational behaviors, to the best of authors’ knowledge. The novelty of this work lies in integrating DEMATEL-NK model approach.
{"title":"Sustainable competitiveness practices of SMEs: a strategic framework using integrated DEMATEL-NK model","authors":"Nikhil Ghag, Padmanav Acharya, V. Khanapuri","doi":"10.1108/jgoss-06-2022-0064","DOIUrl":"https://doi.org/10.1108/jgoss-06-2022-0064","url":null,"abstract":"\u0000Purpose\u0000It is critical for small and medium-scale enterprises (SMEs) to review and monitor sustainability performance indicators across three dimensions: economic, environmental and social to attain long-term competitiveness. SMEs lack a holistic perspective on sustainability; they are frequently hindered from contemplating environmentally favorable investments beyond what is legally needed. The purpose of this paper is to present a joint Decision-making trial and Evaluation Laboratory (DEMATEL) and NK methodology for developing a process model for introducing and implementing sustainable competitiveness practices for SMEs.\u0000\u0000\u0000Design/methodology/approach\u0000This study addresses the issue by adopting a sustainable competitiveness practices framework and applying a novel method that integrates DEMATEL and NK model for evaluating and developing the implementation path model for Indian manufacturing SMEs.\u0000\u0000\u0000Findings\u0000This paper also demonstrates that not only the relational practice itself but also the order in which the relational practices are implemented can be related to performance. According to the authors' preliminary findings, organizations in this study should first implement a social dimension, which includes sustainable leadership, knowledge sharing, etc., then an economic dimension like quality, sustainable innovations, etc., and finally environmental dimensions like green marketing, solid waste reduction, etc., with their management for competitiveness.\u0000\u0000\u0000Research limitations/implications\u0000These findings offer some preliminary information as well as advice for managers and policymakers looking to integrate sustainable efforts.\u0000\u0000\u0000Practical implications\u0000This study asserts that not only the interdependent practice but also the sequence of implementation is important and can relate to the performance. The path result shows that the organization develops first sustainable design and product development (economic), sustainable leadership (social) and solid waste reduction (environmental) practices.\u0000\u0000\u0000Originality/value\u0000There is no such study that develops a process model for introducing and implementing sustainable competitiveness of SMEs which assesses and analyzes the interdependencies across relational behaviors, to the best of authors’ knowledge. The novelty of this work lies in integrating DEMATEL-NK model approach.\u0000","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41920496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-23DOI: 10.1108/jgoss-11-2021-0092
E. Baraldi, Francesco Ciabuschi, L. Fratocchi
Purpose Antibiotics shortages have become an increasingly common problem in Europe because of several reasons, including the offshoring of the production of active pharmaceutical ingredients for many of these products to low production cost countries, such as China and India. The problem has deteriorated because of the Covid-19 crisis that has put most global value chains (GVCs) under great stress. This situation has boosted extensive discussions among academics, practitioners and policymakers on possible changes to the configuration of GVCs. This paper aims to focus specifically on antibiotics supply chains from the perspective of a small country (Sweden), and analyse the pros and cons of backshoring and nearshoring alternatives, as a means to reduce drug shortages. Design/methodology/approach This work adopts a systemic perspective to capture the implications of reshoring for the different stakeholders involved in the antibiotics field. The present meso-analysis, focusing at the industry level, is based on multiple sources of primary data collected between 2014 and 2021, including participation in policy-related projects and interviews with over 100 representatives of key stakeholders in the antibiotics field. Findings This paper shows how reshoring can address the problems of drug shortages and reduce availability risk in antibiotics’ GVCs. However, the authors show that no simple and best solution exists because both alternatives of reshoring, i.e. backshoring and nearshoring, entail pros and cons for different stakeholders. The authors conclude with implications for policymakers and managers. Research limitations/implications The analysis of pros and cons of both backshoring and nearshoring for various stakeholders offers relevant implications for research on operations and supply management, international business and economics/political science. Originality/value This paper looks at reshoring as a policy-driven decision and provides an innovative systemic perspective to analyse the implications for different stakeholders of two reshoring options concerning the antibiotics supply chain.
{"title":"The pros and cons of reshoring to address the problems of shortages in global pharmaceutical value chains: the case of antibiotics","authors":"E. Baraldi, Francesco Ciabuschi, L. Fratocchi","doi":"10.1108/jgoss-11-2021-0092","DOIUrl":"https://doi.org/10.1108/jgoss-11-2021-0092","url":null,"abstract":"\u0000Purpose\u0000Antibiotics shortages have become an increasingly common problem in Europe because of several reasons, including the offshoring of the production of active pharmaceutical ingredients for many of these products to low production cost countries, such as China and India. The problem has deteriorated because of the Covid-19 crisis that has put most global value chains (GVCs) under great stress. This situation has boosted extensive discussions among academics, practitioners and policymakers on possible changes to the configuration of GVCs. This paper aims to focus specifically on antibiotics supply chains from the perspective of a small country (Sweden), and analyse the pros and cons of backshoring and nearshoring alternatives, as a means to reduce drug shortages.\u0000\u0000\u0000Design/methodology/approach\u0000This work adopts a systemic perspective to capture the implications of reshoring for the different stakeholders involved in the antibiotics field. The present meso-analysis, focusing at the industry level, is based on multiple sources of primary data collected between 2014 and 2021, including participation in policy-related projects and interviews with over 100 representatives of key stakeholders in the antibiotics field.\u0000\u0000\u0000Findings\u0000This paper shows how reshoring can address the problems of drug shortages and reduce availability risk in antibiotics’ GVCs. However, the authors show that no simple and best solution exists because both alternatives of reshoring, i.e. backshoring and nearshoring, entail pros and cons for different stakeholders. The authors conclude with implications for policymakers and managers.\u0000\u0000\u0000Research limitations/implications\u0000The analysis of pros and cons of both backshoring and nearshoring for various stakeholders offers relevant implications for research on operations and supply management, international business and economics/political science.\u0000\u0000\u0000Originality/value\u0000This paper looks at reshoring as a policy-driven decision and provides an innovative systemic perspective to analyse the implications for different stakeholders of two reshoring options concerning the antibiotics supply chain.\u0000","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46749372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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