In the era of big data, “knowledge” scope is expanded. To realize the optimization of supply chain collaborative innovation in the era of big data, the platform of the collection, analysis, mining, and application of massive data resources is needed. By analyzing the sources of big data of collaborative innovation of supply chain, a basic framework of knowledge innovation platform of Guizhou supply chain enterprises under the environment of big data is proposed. The effect of big data technology on supply chain logistics mode is analyzed, and the current situation of logistics industry modernization in Guizhou Province is discussed. The mathematical model of big data processing is designed, and an example is simulated to validate the advantage of the proposed method. KEywoRDS Big Data, Guizhou Province, Knowledge Innovation Platform, Supply Chain
{"title":"Construction of Knowledge Service Model of Guizhou Supply Chain Enterprises Based on Big Data","authors":"B. Gao","doi":"10.4018/ijisscm.290016","DOIUrl":"https://doi.org/10.4018/ijisscm.290016","url":null,"abstract":"In the era of big data, “knowledge” scope is expanded. To realize the optimization of supply chain collaborative innovation in the era of big data, the platform of the collection, analysis, mining, and application of massive data resources is needed. By analyzing the sources of big data of collaborative innovation of supply chain, a basic framework of knowledge innovation platform of Guizhou supply chain enterprises under the environment of big data is proposed. The effect of big data technology on supply chain logistics mode is analyzed, and the current situation of logistics industry modernization in Guizhou Province is discussed. The mathematical model of big data processing is designed, and an example is simulated to validate the advantage of the proposed method. KEywoRDS Big Data, Guizhou Province, Knowledge Innovation Platform, Supply Chain","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":"13 1","pages":"1-11"},"PeriodicalIF":1.6,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78863481","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}
C. Coffie, Zhao Hongjiang, Frederick Kwame Yeboah, Abraham Emuron Otim Simon
In this paper, the authors bring to light the issue of appraising and diffusing information systems by small and medium-scale enterprises (SMEs) in Ghana. The empirical data was gathered through an online questionnaire-based survey from 312 SMEs in Ghana. All these enterprises are registered members of the Association of Ghanaian Industries (AGI) and are confirmed users of information systems. The framework of the study is developed based on the approaches found in technology management literature: management principles for disruptive technology, information system strategy, technological decision making, and the technology acceptance models. The aim of the paper is to unearth management principles that allow SMEs in Ghana to appraise and diffuse information system successfully. They defined these principles through the comparison of known principles with the practiced principles of management of the small enterprises in Ghana and distilling the best management practices in information system appraisal and diffusion.
{"title":"Management Principles for the Appraisal and Diffusion of Information Systems: Case of SMEs in Ghana","authors":"C. Coffie, Zhao Hongjiang, Frederick Kwame Yeboah, Abraham Emuron Otim Simon","doi":"10.4018/ijisscm.290015","DOIUrl":"https://doi.org/10.4018/ijisscm.290015","url":null,"abstract":"In this paper, the authors bring to light the issue of appraising and diffusing information systems by small and medium-scale enterprises (SMEs) in Ghana. The empirical data was gathered through an online questionnaire-based survey from 312 SMEs in Ghana. All these enterprises are registered members of the Association of Ghanaian Industries (AGI) and are confirmed users of information systems. The framework of the study is developed based on the approaches found in technology management literature: management principles for disruptive technology, information system strategy, technological decision making, and the technology acceptance models. The aim of the paper is to unearth management principles that allow SMEs in Ghana to appraise and diffuse information system successfully. They defined these principles through the comparison of known principles with the practiced principles of management of the small enterprises in Ghana and distilling the best management practices in information system appraisal and diffusion.","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":"10 1","pages":"1-17"},"PeriodicalIF":1.6,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81692401","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}
Circular economy (CE) and Industry 4.0 (I4.0) are clearly gaining popularity around the world because to their ability to integrate breakthrough technology with unique circular production and business models. This study conducted a systematic literature review, followed by expert intervention, to identify the 16 inhibitors hindering the implementation of a combination of CE practices and I4.0 technologies in the manufacturing industry supply chain. This paper has used ISM, Fuzzy MICMAC, and Fuzzy AHP approach to analyse the interrelationship among inhibitors and highlight the most critical of them. The findings of the paper suggest ‘missing competitive leadership and ‘lack of capital' are the most critical inhibitors, hindering the implementation of I4.0 and CE approach, depriving the manufacturing sector from enormous incentives. This one-of-a-kind original research paper is a holistic attempt to highlight the key elements of manufacturing and production supply chain. The results of the study will help the SCM companies to devise the strategies for achieving excellence.
{"title":"Inhibitors of Industry 4.0 and Circular Economy in Manufacturing Industry Supply Chains","authors":"Rimalini Gadekar, B. Sarkar, Ashish Gadekar","doi":"10.4018/ijisscm.304367","DOIUrl":"https://doi.org/10.4018/ijisscm.304367","url":null,"abstract":"Circular economy (CE) and Industry 4.0 (I4.0) are clearly gaining popularity around the world because to their ability to integrate breakthrough technology with unique circular production and business models. This study conducted a systematic literature review, followed by expert intervention, to identify the 16 inhibitors hindering the implementation of a combination of CE practices and I4.0 technologies in the manufacturing industry supply chain. This paper has used ISM, Fuzzy MICMAC, and Fuzzy AHP approach to analyse the interrelationship among inhibitors and highlight the most critical of them. The findings of the paper suggest ‘missing competitive leadership and ‘lack of capital' are the most critical inhibitors, hindering the implementation of I4.0 and CE approach, depriving the manufacturing sector from enormous incentives. This one-of-a-kind original research paper is a holistic attempt to highlight the key elements of manufacturing and production supply chain. The results of the study will help the SCM companies to devise the strategies for achieving excellence.","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":"50 1","pages":"1-24"},"PeriodicalIF":1.6,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84152366","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}
Ipek Kocoglu, H. Keskin, Murat Çemberci, Mustafa Emre Civelek
Research on supply chain management (SCM) focuses on “what” factors of a supply chain enable firms to achieve high performance. It examines the effect of two strategically important pillars: supply chain relationships or capabilities. However their isolated investigation leads to a limited understanding of “how” they can be combined to increase firm performance. In this study we argue that beyond their direct effects the relational and the capability-based determinants of a supply chain have a network of indirect relationships that concurrently and differentially affect firm performance. Building on the relational and resource-based views we develop a serial-mediation model examining the mediating effects of trust in supply chain and collaborative advantage (i.e. relational determinants), and supply chain agility and coordinated supply chain (i.e. capability-based determinants) of SCM. Through the use of hierarchical linear regression analysis we show that trust, agility and collaboration act as serial mediators that carry the indirect effect of coordination to firm performance.
{"title":"Effect of Supply Chain Coordination on Performance: A Serial Mediation Model of Trust, Agility, and Collaboration","authors":"Ipek Kocoglu, H. Keskin, Murat Çemberci, Mustafa Emre Civelek","doi":"10.4018/ijisscm.287130","DOIUrl":"https://doi.org/10.4018/ijisscm.287130","url":null,"abstract":"Research on supply chain management (SCM) focuses on “what” factors of a supply chain enable firms to achieve high performance. It examines the effect of two strategically important pillars: supply chain relationships or capabilities. However their isolated investigation leads to a limited understanding of “how” they can be combined to increase firm performance. In this study we argue that beyond their direct effects the relational and the capability-based determinants of a supply chain have a network of indirect relationships that concurrently and differentially affect firm performance. Building on the relational and resource-based views we develop a serial-mediation model examining the mediating effects of trust in supply chain and collaborative advantage (i.e. relational determinants), and supply chain agility and coordinated supply chain (i.e. capability-based determinants) of SCM. Through the use of hierarchical linear regression analysis we show that trust, agility and collaboration act as serial mediators that carry the indirect effect of coordination to firm performance.","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":"53 2","pages":"1-15"},"PeriodicalIF":1.6,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72617221","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}
Technology drives many fields to improve the quality of items during the supply of the products. Despite proficient planning in the industrial system and the presence of sophisticated techniques, there may be some defective items in the lots. This paper deals with the inventory model that determines economic order quantity (EOQ) with learning effect for decaying defective quality items under the inflationary condition and credit financing policy. The objective of the work is to analyze the impact of credit financing policy, learning, and inflationary condition on the order quantity and retailer profits. Results revealed that the trade-credit policy will be beneficial for the retailer. Conclusively, sensitive analysis has been presented to understand the robustness of the models.
{"title":"Impact of Inflation and Credit Financing Policy on the Supply Chain With Learning","authors":"M. Jayaswal, M. Mittal","doi":"10.4018/ijisscm.304368","DOIUrl":"https://doi.org/10.4018/ijisscm.304368","url":null,"abstract":"Technology drives many fields to improve the quality of items during the supply of the products. Despite proficient planning in the industrial system and the presence of sophisticated techniques, there may be some defective items in the lots. This paper deals with the inventory model that determines economic order quantity (EOQ) with learning effect for decaying defective quality items under the inflationary condition and credit financing policy. The objective of the work is to analyze the impact of credit financing policy, learning, and inflationary condition on the order quantity and retailer profits. Results revealed that the trade-credit policy will be beneficial for the retailer. Conclusively, sensitive analysis has been presented to understand the robustness of the models.","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":"13 1","pages":"1-25"},"PeriodicalIF":1.6,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78036724","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}
Bullwhip effect reduces the efficiency, responsiveness, and value of the supply chain. There are some indirect causes like lead time, the number of echelons, and some direct causes of bullwhip effect such as rationing or price variation. Due to capacity constraints, retailers are forced to experience rationing of their demands. Fear of rationing usually gives rise to manipulable demand and hence increases the bullwhip effect. Moreover, if the retailer’s demand is price sensitive then it will cause price variation. The offerings of premium payment by retailers due to unfulfilled demand lure the supplier to extend his existing capacity and to allocate them more supply. In this paper, an attempt has been made to mitigate the impact of the bullwhip effect using a premium payment scheme. A technique has been coined that will help in reducing the bullwhip effect. The increased value of the supply chain on using a premium payment scheme is proof of the reduction of the bullwhip effect. Results are validated through numerical analysis.
{"title":"Impact of Price Sensitive Demand and Premium Payment Scheme on Bullwhip Effect","authors":"","doi":"10.4018/ijisscm.287568","DOIUrl":"https://doi.org/10.4018/ijisscm.287568","url":null,"abstract":"Bullwhip effect reduces the efficiency, responsiveness, and value of the supply chain. There are some indirect causes like lead time, the number of echelons, and some direct causes of bullwhip effect such as rationing or price variation. Due to capacity constraints, retailers are forced to experience rationing of their demands. Fear of rationing usually gives rise to manipulable demand and hence increases the bullwhip effect. Moreover, if the retailer’s demand is price sensitive then it will cause price variation. The offerings of premium payment by retailers due to unfulfilled demand lure the supplier to extend his existing capacity and to allocate them more supply. In this paper, an attempt has been made to mitigate the impact of the bullwhip effect using a premium payment scheme. A technique has been coined that will help in reducing the bullwhip effect. The increased value of the supply chain on using a premium payment scheme is proof of the reduction of the bullwhip effect. Results are validated through numerical analysis.","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":"490 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85625678","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}
A mathematical model in the form of a piecewise objective probabilistic optimization approach was proposed in this study as the new decision-making tool to solve supplier selection and inventory management problems. The focus was on price discount and uncertain parameters such as product demand, product defect rate, and late-delivery product rate, which were approached using random variables with some known probability distribution function. Meanwhile, the decision variables contained in the model include the product volume ordered by each supplier at each time for each product type and those stored in the inventory to minimize the total operational cost in the problem. The corresponding optimization problem was solved using a probabilistic programming algorithm via the LINGO optimization tool. The computational simulation showed the proposed model provided the optimal decision, and this means it can be used as a decision-making tool by industrial practitioners.
{"title":"A Piecewise Objective Probabilistic Optimization Approach as Decision Making for Supplier Selection and Inventory Management With Price Discount","authors":"S. Sutrisno, S. Sunarsih, W. Widowati","doi":"10.4018/ijisscm.304089","DOIUrl":"https://doi.org/10.4018/ijisscm.304089","url":null,"abstract":"A mathematical model in the form of a piecewise objective probabilistic optimization approach was proposed in this study as the new decision-making tool to solve supplier selection and inventory management problems. The focus was on price discount and uncertain parameters such as product demand, product defect rate, and late-delivery product rate, which were approached using random variables with some known probability distribution function. Meanwhile, the decision variables contained in the model include the product volume ordered by each supplier at each time for each product type and those stored in the inventory to minimize the total operational cost in the problem. The corresponding optimization problem was solved using a probabilistic programming algorithm via the LINGO optimization tool. The computational simulation showed the proposed model provided the optimal decision, and this means it can be used as a decision-making tool by industrial practitioners.","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":"11 1","pages":"1-17"},"PeriodicalIF":1.6,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87584664","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}
This paper explains the feasibility of blockchain technology in food organization. The technology of BCT helps the organizations to achieve integrity among peer-to-peer nodes, such as maintaining proof of work, reducing intermediaries, traceability, etc. It can be applied in the BCT at different levels of supply chain management processes. This empirical study was conducted with the help of the primary data. The data was collected from food industry managers who have knowledge about the BCT in the process of supply chain management. The questionnaire was prepared based on the different supply chain activities like procurement, pre-processing, logistics, warehousing, inventory management, distribution, retailing, processing, and marketing activities. Based on the literature and data analysis, the BCT had the greatest advantages including cost reduction, traceability, time-saving, immutability, authentication, and proof of work. The major weaknesses are associated with present employees having a lack of knowledge, limited scalability, complexity in usage, and high initial cost. KEywoRdS Blockchain Technology, Food Sector, Supply Chain Management
{"title":"Blockchain Technology in the Food Supply Chain: Empirical Analysis","authors":"Arokiaraj David, C. Kumar, P. Paul","doi":"10.4018/ijisscm.290014","DOIUrl":"https://doi.org/10.4018/ijisscm.290014","url":null,"abstract":"This paper explains the feasibility of blockchain technology in food organization. The technology of BCT helps the organizations to achieve integrity among peer-to-peer nodes, such as maintaining proof of work, reducing intermediaries, traceability, etc. It can be applied in the BCT at different levels of supply chain management processes. This empirical study was conducted with the help of the primary data. The data was collected from food industry managers who have knowledge about the BCT in the process of supply chain management. The questionnaire was prepared based on the different supply chain activities like procurement, pre-processing, logistics, warehousing, inventory management, distribution, retailing, processing, and marketing activities. Based on the literature and data analysis, the BCT had the greatest advantages including cost reduction, traceability, time-saving, immutability, authentication, and proof of work. The major weaknesses are associated with present employees having a lack of knowledge, limited scalability, complexity in usage, and high initial cost. KEywoRdS Blockchain Technology, Food Sector, Supply Chain Management","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":"26 1","pages":"1-12"},"PeriodicalIF":1.6,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78598802","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}
With the spread of the global COVID-19 pandemic, agricultural food supply chains (AFSC) have suffered from unprecedented challenges and disruption. AFSC must possess extremely high levels of resilience when confronted by the pandemic. In this study, we have identified six important resilience criteria and eighteen sub-criteria of AFSC in the context of the COVID-19. The research presents the conceptual mixed multi-criteria decision-making (MCDM) technology to prioritize the resilience criteria based on understanding their interrelationships. Results identify three essential resilience criteria, namely “coordination and collaboration in the supply chain”, “efficiency”, and “strategic management” and the top five key sub-criteria as “velocity”, “visibility”, “continuity management”, “connectedness”, “collaborative planning and replenishment”. The framework proposed in this study contributes to the interdisciplinary understanding towards building resilience within AFSC, and has the potential to be extended to other types of supply chains in response to COVID-19.
{"title":"Evaluating Agricultural Food Supply Chain Resilience in the Context of the COVID-19 Pandemic","authors":"Wenping Xu, Shuling Xiong, D. Proverbs","doi":"10.4018/ijisscm.287132","DOIUrl":"https://doi.org/10.4018/ijisscm.287132","url":null,"abstract":"With the spread of the global COVID-19 pandemic, agricultural food supply chains (AFSC) have suffered from unprecedented challenges and disruption. AFSC must possess extremely high levels of resilience when confronted by the pandemic. In this study, we have identified six important resilience criteria and eighteen sub-criteria of AFSC in the context of the COVID-19. The research presents the conceptual mixed multi-criteria decision-making (MCDM) technology to prioritize the resilience criteria based on understanding their interrelationships. Results identify three essential resilience criteria, namely “coordination and collaboration in the supply chain”, “efficiency”, and “strategic management” and the top five key sub-criteria as “velocity”, “visibility”, “continuity management”, “connectedness”, “collaborative planning and replenishment”. The framework proposed in this study contributes to the interdisciplinary understanding towards building resilience within AFSC, and has the potential to be extended to other types of supply chains in response to COVID-19.","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":"30 1","pages":"1-18"},"PeriodicalIF":1.6,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81306858","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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