The objective of this study is to explore the challenges faced by the Indian apparel supply chain in the wake of COVID-19 to identify the factors that are being affected and build a multilevel hierarchy model to prioritize the factors and understand their inter-relationships. An intensive literature review was conducted and many experts from apparel supply chain were consulted. The study was conducted by the help of a survey sent to these experts from different echelons in the apparel industry. The data was then analysed using Total Interpretive Structural Modelling (TISM). The “Difficulty in export order fulfilment” factor is found to be the most sensitive factor which means that it is present in the TISM model hierarchy in a place that it is affected by most of the factors and in-turn impacts factors like operational cost, change in marketing strategy, change in consumer buying pattern, which impact Profitability and Cut-off in employment. “Cut-off in employment” is found to be most impacted by all other factors in TISM model.
{"title":"A TISM and MICMAC Analysis of Factors During the COVID-19 Pandemic in the Indian Apparel Supply Chain","authors":"Rupesh Kumar, Parul Gupta, Rajesh Gupta","doi":"10.4018/ijisscm.287133","DOIUrl":"https://doi.org/10.4018/ijisscm.287133","url":null,"abstract":"The objective of this study is to explore the challenges faced by the Indian apparel supply chain in the wake of COVID-19 to identify the factors that are being affected and build a multilevel hierarchy model to prioritize the factors and understand their inter-relationships. An intensive literature review was conducted and many experts from apparel supply chain were consulted. The study was conducted by the help of a survey sent to these experts from different echelons in the apparel industry. The data was then analysed using Total Interpretive Structural Modelling (TISM). The “Difficulty in export order fulfilment” factor is found to be the most sensitive factor which means that it is present in the TISM model hierarchy in a place that it is affected by most of the factors and in-turn impacts factors like operational cost, change in marketing strategy, change in consumer buying pattern, which impact Profitability and Cut-off in employment. “Cut-off in employment” is found to be most impacted by all other factors in TISM model.","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":"1 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":"90865144","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 : 2022-01-01DOI: 10.4018/IJISSCM.2022010101
Hui Li
The omni-channel strategy buy-online-pickup-in-store (BOPS) is used to cater to customers who want a consistent service experience in different channels. In this paper, the author thinks of BOPS as an effective strategy for encouraging some online customers to switch to offline stores with high online return losses. The author first studies an omni-channel supply chain with centralized and decentralized decision making and explains why online returns hurt the supply chain with respect to the matching rate and the unit return loss. Although different channels can be operated by the same firm or different firms, the author studies how to coordinate the entire chain using a revenue-sharing contract. When online return losses are high, it is effective to adopt BOPS to reduce online return losses; otherwise there is no need to do so. Finally, the author presents numerical experiments, including a special case, and shows that in many cases using an appropriate revenue-sharing contract under the proposed mechanism can increase the profits of the entire supply chain and its members.
{"title":"Dual-Channel Supply Chain Coordination With BOPS and a Revenue-Sharing Contract","authors":"Hui Li","doi":"10.4018/IJISSCM.2022010101","DOIUrl":"https://doi.org/10.4018/IJISSCM.2022010101","url":null,"abstract":"The omni-channel strategy buy-online-pickup-in-store (BOPS) is used to cater to customers who want a consistent service experience in different channels. In this paper, the author thinks of BOPS as an effective strategy for encouraging some online customers to switch to offline stores with high online return losses. The author first studies an omni-channel supply chain with centralized and decentralized decision making and explains why online returns hurt the supply chain with respect to the matching rate and the unit return loss. Although different channels can be operated by the same firm or different firms, the author studies how to coordinate the entire chain using a revenue-sharing contract. When online return losses are high, it is effective to adopt BOPS to reduce online return losses; otherwise there is no need to do so. Finally, the author presents numerical experiments, including a special case, and shows that in many cases using an appropriate revenue-sharing contract under the proposed mechanism can increase the profits of the entire supply chain and its members.","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":"3 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":"88324895","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}
Gaurav Nagpal, U. Chanda, Himanshu Seth, N. Ruparel
In this age of digitalization, when every industry is undergoing technological disruption, there is a big role of digital gadgets and technology products. A key feature of these digital gadgets is the short length of the product life cycle, since the newer and more advanced generations of technologies are developed regularly to replace the earlier conventional technologies. The traditional EOQ models that assume a constant demand cannot be used here. This research paper formulates an inventory optimization model for the multi-generational products under the trade credits and the credit-linked and innovation diffusion dependent demand. The study also performs a numerical illustration of the proposed model, and establishes important dynamics among the key variables. It also performs the sensitivity analysis with the cost of credit and the trade credit period. The paper concludes with the managerial implications for the inventory practitioners and the possible areas of extension for this research in the future.
{"title":"Inventory Replenishment Policies for Two Successive Generations of Technology Products Under Permissible Delay in Payments","authors":"Gaurav Nagpal, U. Chanda, Himanshu Seth, N. Ruparel","doi":"10.4018/ijisscm.287134","DOIUrl":"https://doi.org/10.4018/ijisscm.287134","url":null,"abstract":"In this age of digitalization, when every industry is undergoing technological disruption, there is a big role of digital gadgets and technology products. A key feature of these digital gadgets is the short length of the product life cycle, since the newer and more advanced generations of technologies are developed regularly to replace the earlier conventional technologies. The traditional EOQ models that assume a constant demand cannot be used here. This research paper formulates an inventory optimization model for the multi-generational products under the trade credits and the credit-linked and innovation diffusion dependent demand. The study also performs a numerical illustration of the proposed model, and establishes important dynamics among the key variables. It also performs the sensitivity analysis with the cost of credit and the trade credit period. The paper concludes with the managerial implications for the inventory practitioners and the possible areas of extension for this research in the future.","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":"46 1","pages":"1-29"},"PeriodicalIF":1.6,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89315437","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}
To improve the convenience and effect of fitting process, an online fitting system of user-personalized body type based on the virtual technology is put forward. Firstly, develop the fitting system with Java as the development language, and construct the human model, spinning motion model and virtual clothing model; then, divided the relevant model creation based on the body, generate the personalized body type, and design the slab model, representing by triangular patch, while all points in same one gender model keep the spatial position relation with each other to simplify the interpolation process; finally, verify the efficiency of developed system through the factor analysis and cluster fitting design.
{"title":"Design of Remote Fitting Platform Based on Virtual Clothing Sales","authors":"Miao Yu","doi":"10.4018/ijisscm.290019","DOIUrl":"https://doi.org/10.4018/ijisscm.290019","url":null,"abstract":"To improve the convenience and effect of fitting process, an online fitting system of user-personalized body type based on the virtual technology is put forward. Firstly, develop the fitting system with Java as the development language, and construct the human model, spinning motion model and virtual clothing model; then, divided the relevant model creation based on the body, generate the personalized body type, and design the slab model, representing by triangular patch, while all points in same one gender model keep the spatial position relation with each other to simplify the interpolation process; finally, verify the efficiency of developed system through the factor analysis and cluster fitting design.","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":"14 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":"74872138","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 development of the two-sided market, many platform enterprises classify their users into different types and cooperate with them with different strategies. The extant literature mainly explores the pricing and investment decisions for the platform, but pays little attention to the classification of sellers when making decisions. This paper investigates the investment of value-added service and pricing strategies for an e-commerce platform with competing sellers. Specifically, this paper considers a two-sided platform that is composed of an e-commerce platform, buyers and sellers. Sellers with high performance requirement and with low performance requirement compete for the buyers in the platform. This paper assumes that each buyer will choose the sellers’ type immediately after entering the platform and buy a unit of product in the platform. Through theoretical analysis the authors show that, the platform will gain more profits by investing in value-added services for type-A sellers and it will obtain the optimal profit when the transaction fee is moderate.
{"title":"Service Investment and Pricing Strategies in E-Commerce Platforms With Seller Competition","authors":"Ya'nan Ji, Yi Li, Wenzhi Tang","doi":"10.4018/ijisscm.287131","DOIUrl":"https://doi.org/10.4018/ijisscm.287131","url":null,"abstract":"With the development of the two-sided market, many platform enterprises classify their users into different types and cooperate with them with different strategies. The extant literature mainly explores the pricing and investment decisions for the platform, but pays little attention to the classification of sellers when making decisions. This paper investigates the investment of value-added service and pricing strategies for an e-commerce platform with competing sellers. Specifically, this paper considers a two-sided platform that is composed of an e-commerce platform, buyers and sellers. Sellers with high performance requirement and with low performance requirement compete for the buyers in the platform. This paper assumes that each buyer will choose the sellers’ type immediately after entering the platform and buy a unit of product in the platform. Through theoretical analysis the authors show that, the platform will gain more profits by investing in value-added services for type-A sellers and it will obtain the optimal profit when the transaction fee is moderate.","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":"9 1","pages":"1-21"},"PeriodicalIF":1.6,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75459503","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 financing model for bank loan financing, equity financing, and portfolio financing under the manufacturer's capital constraints is constructed, and the manufacturer's capital level and consumers are discussed in green preference on pricing, green input level, market demand for products, and selection strategies of financing methods. Finally, it is verified by numerical analysis. Consumers' green preference is positively correlated with retail prices, wholesale prices and the level of green investment efforts, market demand for products, and equity transfer ratios acceptable to both parties in equity financing; when the manufacturer's capital constraints are not financing, the manufacturer's initial capital level is positively correlated with manufacturer's wholesale price, and retailer's retail price are negatively correlated, but it is positively correlated with the level of green investment efforts; the greater the bank loan interest rate, the larger the manufacturer's acceptable share transfer ratio.
{"title":"An Investment and Loan Financing Decision Equilibrium in Supply Chain","authors":"Ya Zhou","doi":"10.4018/ijisscm.304090","DOIUrl":"https://doi.org/10.4018/ijisscm.304090","url":null,"abstract":"A financing model for bank loan financing, equity financing, and portfolio financing under the manufacturer's capital constraints is constructed, and the manufacturer's capital level and consumers are discussed in green preference on pricing, green input level, market demand for products, and selection strategies of financing methods. Finally, it is verified by numerical analysis. Consumers' green preference is positively correlated with retail prices, wholesale prices and the level of green investment efforts, market demand for products, and equity transfer ratios acceptable to both parties in equity financing; when the manufacturer's capital constraints are not financing, the manufacturer's initial capital level is positively correlated with manufacturer's wholesale price, and retailer's retail price are negatively correlated, but it is positively correlated with the level of green investment efforts; the greater the bank loan interest rate, the larger the manufacturer's acceptable share transfer ratio.","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":"182 1","pages":"1-22"},"PeriodicalIF":1.6,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75527249","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 : 2022-01-01DOI: 10.4018/IJISSCM.2022010106
Guanghua Qiu
Machine translation has developed rapidly. But there are some problems in machine translation, such as good reading, unable to reflect the mood and context, and even some languages machines cannot recognize. In order to improve the quality of translation, this paper uses the SSCI method to improve the quality of translation. It is found that the translation quality of hierarchical phrases is significantly improved after using the parallel algorithm of machine translation, which is about 9% higher than before, and the problem of context free grammar is also solved. The research also found that the use of parallel algorithm can effectively reduce the network memory occupation; the original 10-character content, after using the parallel algorithm, only need to occupy 8 characters, and the optimization reaches 20%. This means that the parallel algorithm of hierarchical phrase machine translation based on distributed network memory can play a very important role in machine translation.
{"title":"Parallel Algorithm of Hierarchical Phrase Machine Translation Based on Distributed Network Memory","authors":"Guanghua Qiu","doi":"10.4018/IJISSCM.2022010106","DOIUrl":"https://doi.org/10.4018/IJISSCM.2022010106","url":null,"abstract":"Machine translation has developed rapidly. But there are some problems in machine translation, such as good reading, unable to reflect the mood and context, and even some languages machines cannot recognize. In order to improve the quality of translation, this paper uses the SSCI method to improve the quality of translation. It is found that the translation quality of hierarchical phrases is significantly improved after using the parallel algorithm of machine translation, which is about 9% higher than before, and the problem of context free grammar is also solved. The research also found that the use of parallel algorithm can effectively reduce the network memory occupation; the original 10-character content, after using the parallel algorithm, only need to occupy 8 characters, and the optimization reaches 20%. This means that the parallel algorithm of hierarchical phrase machine translation based on distributed network memory can play a very important role in machine translation.","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":"238 1 1","pages":"1-16"},"PeriodicalIF":1.6,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85660017","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}
M. Nazir, Ishfaq Ahmed, Sameera Waris, Ahmad Usman, Ahmad Nawaz
For the last few decades, the business practices have primarily been focusing on the green and sustainable practices that mainly focus on the preservation of the environment and correspond to corporate social responsibility. But the sudden outbreak of the COVID-19 pandemic has left unprecedented effects on the business world. Against this backdrop, the current study entails investigation of the antecedents and consequences of green supply chain management in the post-COVID-19 era. The term black swan stands true for the event. The term could be believed to be accurate as all aspects of the supply chain have been observed to be influenced by the swan (customers with panic/regulated buying, suppliers with hoarding, inventories witnessing bullwhip effects). The current study, therefore, offers a novel explanation by linking various actors of green supply chain management and how the interplay of those actors can influence the supply chain and overall firm performance post COVID-19.
{"title":"COVID-19: The Black Swan for Green Supply Chain Management in Pakistan","authors":"M. Nazir, Ishfaq Ahmed, Sameera Waris, Ahmad Usman, Ahmad Nawaz","doi":"10.4018/ijisscm.304369","DOIUrl":"https://doi.org/10.4018/ijisscm.304369","url":null,"abstract":"For the last few decades, the business practices have primarily been focusing on the green and sustainable practices that mainly focus on the preservation of the environment and correspond to corporate social responsibility. But the sudden outbreak of the COVID-19 pandemic has left unprecedented effects on the business world. Against this backdrop, the current study entails investigation of the antecedents and consequences of green supply chain management in the post-COVID-19 era. The term black swan stands true for the event. The term could be believed to be accurate as all aspects of the supply chain have been observed to be influenced by the swan (customers with panic/regulated buying, suppliers with hoarding, inventories witnessing bullwhip effects). The current study, therefore, offers a novel explanation by linking various actors of green supply chain management and how the interplay of those actors can influence the supply chain and overall firm performance post COVID-19.","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":"8 1","pages":"1-22"},"PeriodicalIF":1.6,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81632322","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}
Achieving competitive advantage in a dynamic environment requires firms to exploit their current capabilities and explore new opportunities through innovation. Organizational learning theory refers to these two types of focused learning activities as exploitation and exploration, and jointly as ambidextrous learning. Suppliers can play an important role in the learning process. This research focuses on the role of strategic and operational information sharing between buyers and suppliers in promoting ambidextrous learning. Based on a survey of supply chain managers in U.S. manufacturing firms, the findings indicate that sharing operational information promotes exploitative performance, while sharing strategic information promotes exploratory performance. Both exploitative and exploratory performance improvements positively relate to the buyer’s financial performance, but these relationships are moderated by the buyer’s product innovation strategy. Exploratory performance is particularly important for firms pursuing a high innovation strategy to maximize financial performance.
{"title":"Ambidextrous Learning in Buyer-Supplier Relationships: The Role of Strategic and Operational Information Sharing","authors":"R. Atkins, Y. Yurova, A. Gudi, C. Ruppel","doi":"10.4018/ijisscm.290355","DOIUrl":"https://doi.org/10.4018/ijisscm.290355","url":null,"abstract":"Achieving competitive advantage in a dynamic environment requires firms to exploit their current capabilities and explore new opportunities through innovation. Organizational learning theory refers to these two types of focused learning activities as exploitation and exploration, and jointly as ambidextrous learning. Suppliers can play an important role in the learning process. This research focuses on the role of strategic and operational information sharing between buyers and suppliers in promoting ambidextrous learning. Based on a survey of supply chain managers in U.S. manufacturing firms, the findings indicate that sharing operational information promotes exploitative performance, while sharing strategic information promotes exploratory performance. Both exploitative and exploratory performance improvements positively relate to the buyer’s financial performance, but these relationships are moderated by the buyer’s product innovation strategy. Exploratory performance is particularly important for firms pursuing a high innovation strategy to maximize financial performance.","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":"81 1","pages":"1-19"},"PeriodicalIF":1.6,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86898756","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 : 2022-01-01DOI: 10.4018/IJISSCM.2022010104
Young-Chae Hong, Jingqi Chen
Supply chain network in the automotive industry has complex, interconnected, multiple-depth relationships. Recently, the volume of supply chain data increases significantly with Industry 4.0. The complex relationships and massive volume of supply chain data can cause visibility and scalability issues in big data analysis and result in less responsive and fragile inventory management. The authors develop a graph data modeling framework to address the computational problem of big supply chain data analysis. In addition, this paper introduces time-to-stockout analysis for supply chain resilience and shows how to compute it through a labeled property graph model. The computational result shows that the proposed graph data model is efficient for recursive and variable-length data in supply chain, and relationship-centric graph query language is capable of handling a wide range of business questions with impressive query time.
{"title":"Graph Database to Enhance Supply Chain Resilience for Industry 4.0","authors":"Young-Chae Hong, Jingqi Chen","doi":"10.4018/IJISSCM.2022010104","DOIUrl":"https://doi.org/10.4018/IJISSCM.2022010104","url":null,"abstract":"Supply chain network in the automotive industry has complex, interconnected, multiple-depth relationships. Recently, the volume of supply chain data increases significantly with Industry 4.0. The complex relationships and massive volume of supply chain data can cause visibility and scalability issues in big data analysis and result in less responsive and fragile inventory management. The authors develop a graph data modeling framework to address the computational problem of big supply chain data analysis. In addition, this paper introduces time-to-stockout analysis for supply chain resilience and shows how to compute it through a labeled property graph model. The computational result shows that the proposed graph data model is efficient for recursive and variable-length data in supply chain, and relationship-centric graph query language is capable of handling a wide range of business questions with impressive query time.","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":"8 1","pages":"1-19"},"PeriodicalIF":1.6,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77287010","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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