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International Journal of Information Systems and Supply Chain Management最新文献

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The Role of Supply Chain Innovation for New Normal on the Relationship between SCM Practices and SMEs Performance 新常态下供应链创新在供应链管理实践与中小企业绩效关系中的作用
IF 1.6
International Journal of Information Systems and Supply Chain Management Pub Date : 2023-04-21 DOI: 10.4018/ijisscm.321950
Inda Sukati, A. Awain, Raghed Ibrahim Ismaeel
{"title":"The Role of Supply Chain Innovation for New Normal on the Relationship between SCM Practices and SMEs Performance","authors":"Inda Sukati, A. Awain, Raghed Ibrahim Ismaeel","doi":"10.4018/ijisscm.321950","DOIUrl":"https://doi.org/10.4018/ijisscm.321950","url":null,"abstract":"This study proposes strategic partnerships with main suppliers (SPWMS), strategic partnerships with target customers (SPWTC), information sharing with supply chain partners (ISWSCP), internal supply chain integration (ISCI), and supply chain innovation (SCI) in new normal and SMEs performance. The result showed that: (1) SPWMS was a significant predictor of SMEs performance, (2) SCI in new normal was not a significant moderator of the relationship between SPWMS and SMEs performance, (3) SPWTC was a significant predictor of SMEs performance, (4) SCI in new normal did not significantly moderate the relationship between SPWTC and SMEs performance. (5) ISWSCP was a significant predictor of SMEs performance, (6) SCI in new normal was not a significant moderator of the relationship between ISWSCP and SMEs performance, (7) ISCI was the significant predictor of SMEs performance, (8) SCI in new normal was not a significant moderator of the relationship between ISCI and SMEs performance.","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86359517","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}
引用次数: 0
Application of a Cold-Chain Logistics Distribution System Based on Cloud Computing and Web Delivery Date Management 基于云计算和Web交付日期管理的冷链物流配送系统的应用
IF 1.6
International Journal of Information Systems and Supply Chain Management Pub Date : 2023-02-24 DOI: 10.4018/ijisscm.318644
Fei Tang
{"title":"Application of a Cold-Chain Logistics Distribution System Based on Cloud Computing and Web Delivery Date Management","authors":"Fei Tang","doi":"10.4018/ijisscm.318644","DOIUrl":"https://doi.org/10.4018/ijisscm.318644","url":null,"abstract":"The cold chain maintains and transports fresh food in the correct temperature range for slow biological decay processes and delivers safe, high-quality food to customers. Ensuring that quality and efficiency are not affected by the supply chain of cold chain products is a goal. Therefore, this paper proposes the intelligent time scheduling management model (ITSMM) based on cloud computing and a web-based platform for cold-chain logistics and distribution systems. This paper establishes a time scheduling model to reduce the overall order operation cost, diminish the variance among the expected and actual time of finalizing the service orders, and improve useful logistics service providers' satisfaction. Data, including all cold chain phases (distributors, industry, consumers, and retailers), have been gathered. This paper examines the distribution cost and time refrigerated vehicles, thus instituting a cold chain distribution vehicle path optimization.","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91193293","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}
引用次数: 0
A Bibliometric and Co-Occurrence Analysis of Work-Life Balance: Related Literature Published Pre- and During COVID-19 Pandemic 工作-生活平衡的文献计量学和共现分析:COVID-19大流行前后发表的相关文献
IF 1.6
International Journal of Information Systems and Supply Chain Management Pub Date : 2023-01-20 DOI: 10.4018/ijisscm.316182
Soumitra Majumder, D. Biswas
{"title":"A Bibliometric and Co-Occurrence Analysis of Work-Life Balance: Related Literature Published Pre- and During COVID-19 Pandemic","authors":"Soumitra Majumder, D. Biswas","doi":"10.4018/ijisscm.316182","DOIUrl":"https://doi.org/10.4018/ijisscm.316182","url":null,"abstract":"Work-life balance helps to maintain an attractive organizational culture and remove work-life conflicts and show the path to employees of how to be more efficient in different work roles. This balanced practice is giving a care and feeling of protection to the employees. It motivates better performance that contributes to employee engagement indices. The main purpose of this study is to report work-life balance pre- and during the COVID-19 pandemic by bibliometric analysis. This study analyzed 4,030 “work-life balance” studies published between January 1, 2010 and December 31, 2019, from the pre-pandemic era, and 1,143 studies published during the pandemic (between January 1, 2020-March 24, 2021). The data were extracted from the Scopus database using keywords “work-life balance” and keywords in titles (items) analyzed using VOSviewer software. Co-occurrence connection between keywords in titles and density visualization based on the total link strength clearly shows that COVID-19 significantly impacted work-life balance and related research.","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74322829","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}
引用次数: 1
A Framework for Smart Supply Chain Risk Assessment: An Empirical Study 智能供应链风险评估框架的实证研究
IF 1.6
International Journal of Information Systems and Supply Chain Management Pub Date : 2023-01-13 DOI: 10.4018/ijisscm.316167
K. Khan, A. Keramati
{"title":"A Framework for Smart Supply Chain Risk Assessment: An Empirical Study","authors":"K. Khan, A. Keramati","doi":"10.4018/ijisscm.316167","DOIUrl":"https://doi.org/10.4018/ijisscm.316167","url":null,"abstract":"This research provides a framework for assessing risks in smart supply chains using a quantitative approach. This study identifies the risk factors in smart supply chains based on an extensive literature review and interviews with professionals. By analyzing different concepts of the previous frameworks, a new one is proposed for the smart supply chain. This new framework is applied to the data collected from a survey of Canadian supply chain professionals (n = 56). The authors conducted an exploratory factor analysis to examine the construct validity of the survey results. After evaluating and assessing risks for different smart supply chain risk factors, some constructs were developed. The survey's results point to the most important risk factors for the smart supply chain, prioritized based on their high probabilities and impacts. These include risk of complexity, web application failure, talent shortage, and high-cost risk. The results also show that the most commonly implemented smart technologies in the supply chain sector are bar codes and social media.","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2023-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72368165","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}
引用次数: 0
Collaborative Bullwhip Effect-Oriented Bi-Objective Optimization for Inference-Based Weighted Moving Average Forecasting in Decentralized Supply Chain 基于协同牛鞭效应的分散供应链加权移动平均预测双目标优化
IF 1.6
International Journal of Information Systems and Supply Chain Management Pub Date : 2023-01-13 DOI: 10.4018/ijisscm.316168
Youssef Tliche, A. Taghipour, Jomana Mahfod-Leroux, Mohammadali Vosooghidizaji
{"title":"Collaborative Bullwhip Effect-Oriented Bi-Objective Optimization for Inference-Based Weighted Moving Average Forecasting in Decentralized Supply Chain","authors":"Youssef Tliche, A. Taghipour, Jomana Mahfod-Leroux, Mohammadali Vosooghidizaji","doi":"10.4018/ijisscm.316168","DOIUrl":"https://doi.org/10.4018/ijisscm.316168","url":null,"abstract":"Downstream demand inference (DDI) emerged in the supply chain theory, allowing an upstream actor to infer the demand occurring at his formal downstream actor without need of information sharing. Literature showed that simultaneously minimizing the average inventory level and the bullwhip effect isn't possible. In this paper, the authors show that demand inference is not only possible between direct supply chain links, but also at any downstream level. The authors propose a bi-objective approach to reduce both performance indicators by adopting the genetic algorithm. Simulation results show that bullwhip effect can be reduced highly if specific configurations are selected from the Pareto frontier. Numerical results show that demand's time-series structure, lead-times, holding and shortage costs, don't affect the behaviour of the bullwhip effect indicator. Moreover, the sensitivity analysis show that the optimization approach is robust when faced to varied initializations. Finally, the authors conclude the paper with managerial implications in multi-level supply chains.","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2023-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76599726","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}
引用次数: 3
Information Retrieval and Optimization in Distribution and Logistics Management Using Deep Reinforcement Learning 基于深度强化学习的配送与物流管理信息检索与优化
IF 1.6
International Journal of Information Systems and Supply Chain Management Pub Date : 2023-01-13 DOI: 10.4018/ijisscm.316166
Li Yang, E. SathishkumarV., Adhiyaman Manickam
{"title":"Information Retrieval and Optimization in Distribution and Logistics Management Using Deep Reinforcement Learning","authors":"Li Yang, E. SathishkumarV., Adhiyaman Manickam","doi":"10.4018/ijisscm.316166","DOIUrl":"https://doi.org/10.4018/ijisscm.316166","url":null,"abstract":"Resource balance is one of the most critical concerns in the existing logistic domain within dynamic transport networks. Modern solutions are used to maximize demand and supply prediction in collaboration with these problems. However, the great difficulty of transportation networks, profound uncertainties of potential demand and availability, and non-convex market limits make conventional resource management main paths. Hence, this paper proposes an integrated deep reinforcement learning-based logistics management model (DELLMM) to increase and optimize the logistic distribution. An optimization approach can be used in inventors and price control applications. This research methodology gives the fundamentals of information retrieval and the scope of blockchain integration. The conceptual framework of use cases for an efficient logistic management system with blockchain has been discussed. This research designs the deep reinforcement learning system that can boost optimization and other business operations due to impressive improvements in generic self-learning algorithms for optimal management. Thus, the experimental results show that DELLMM improves logistics management and optimized distribution compared to other methods with the highest operability of 94.35%, latency reduction of 97.12%, efficiency of 98.01%, trust enhancement of 96.37%, and sustainability of 97.80%.","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2023-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72952977","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}
引用次数: 1
Internet of Things-Enabled Logistic Warehouse Scheduling Management With Human Machine Assistance 物联网支持的物流仓库调度管理与人机辅助
IF 1.6
International Journal of Information Systems and Supply Chain Management Pub Date : 2022-10-01 DOI: 10.4018/ijisscm.305852
Zihao Zhang
{"title":"Internet of Things-Enabled Logistic Warehouse Scheduling Management With Human Machine Assistance","authors":"Zihao Zhang","doi":"10.4018/ijisscm.305852","DOIUrl":"https://doi.org/10.4018/ijisscm.305852","url":null,"abstract":"Logistics management is part of the supply chain management process for reliable, to meet consumer requirements. In most instances, consumers find it challenging to identify the product, as they have to start it manually due to time-consuming storage rooms.This paper has suggested the IoT-assisted human-machine interface (IoT-HCI)framework as a logistic warehouse management system. A warehouse management framework is designed to eliminate this issue and immediately release updates and inform people about the operations. The proposed methoddemonstrates the aspects and the exact methodology of the products' manufacture and distribution.This system is developed through the internet of things that can continuously enable communication between the management layers. Warehouses are the units for the transport and storing goods and items before they are shipped from the location. In most situations, there are no mixed environments in which automated systems and humans interact and the employee's implementation.","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77494574","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}
引用次数: 0
Swarm Intelligence Technique for Supply Chain Market in Logistic Analytics Management 物流分析管理中供应链市场的群智能技术
IF 1.6
International Journal of Information Systems and Supply Chain Management Pub Date : 2022-10-01 DOI: 10.4018/ijisscm.305845
Qian Tian, Qingwei Yin, Yagang Meng
{"title":"Swarm Intelligence Technique for Supply Chain Market in Logistic Analytics Management","authors":"Qian Tian, Qingwei Yin, Yagang Meng","doi":"10.4018/ijisscm.305845","DOIUrl":"https://doi.org/10.4018/ijisscm.305845","url":null,"abstract":"Supply chain management has become increasingly important as an academic subject due to globalization developments contributing to massive production-related benefits reallocation. The huge volume of data produced in the global economy means that new tools must be created to manage and evaluate the data and measure organizational performance worldwide. Smart technologies such as swarm intelligence and big data analytics can help get clear data of the location, condition, and environment of products and processes at any time, anywhere to make smart decisions and take corrective schedules that the supply chain can run more effectively. This study proposes the swarm intelligence modeling-based logistic analytics management (SIMLAM) in service supply chain market. A generalized structure for swarm intelligence implementation in supply chain management is suggested, which is advantageous to industry practitioners. Different deterministic methods practically fail due to the intrinsic computational complexity of the problem of higher dimensions.","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89446545","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}
引用次数: 0
Research on Logistic Warehouse Scheduling Management With IoT and Human-Machine Interface 基于物联网和人机界面的物流仓库调度管理研究
IF 1.6
International Journal of Information Systems and Supply Chain Management Pub Date : 2022-10-01 DOI: 10.4018/ijisscm.305846
Lanjing Wang, J. Daniel, Thanjai Vadivel
{"title":"Research on Logistic Warehouse Scheduling Management With IoT and Human-Machine Interface","authors":"Lanjing Wang, J. Daniel, Thanjai Vadivel","doi":"10.4018/ijisscm.305846","DOIUrl":"https://doi.org/10.4018/ijisscm.305846","url":null,"abstract":"The automated deployment of the internet of things (IoT) and the human-machine interface provides the best advancement for dispersed warehouse scheduling management (WSM). In this paper, superior data systematic move toward warehouse scheduling management (WSM) has been suggested using the computational method to allow smart logistics. Furthermore, this paper introduces the human-machine interface framework (HMI) using IoT for collaborative warehouse order fulfillment. It consists of a layer of physical equipment, an ambient middleware network, a framework of multi-agents, and source planning. This approach is chosen to enhance the reaction capabilities of decentralized warehouse scheduling management in a dynamic environment. The simulation outcome has been performed, and the suggested method realizes a high product delivery ratio (96.5%), operational cost (94.9%), demand prediction ratio (96.5%), accuracy ratio (98.4%), and performance ratio (97.2%).","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90109465","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}
引用次数: 0
Logistic Analytics Management in the Service Supply Chain Market Using Swarm Intelligence Modelling 基于群体智能模型的服务供应链市场物流分析管理
IF 1.6
International Journal of Information Systems and Supply Chain Management Pub Date : 2022-10-01 DOI: 10.4018/ijisscm.305851
Congcong Wang
{"title":"Logistic Analytics Management in the Service Supply Chain Market Using Swarm Intelligence Modelling","authors":"Congcong Wang","doi":"10.4018/ijisscm.305851","DOIUrl":"https://doi.org/10.4018/ijisscm.305851","url":null,"abstract":"The industry sustainability in today's globalization relies on cost-effective supply chain management of diverse markets and logistics. Supply chain risks typically limit profits over the overall expense of the supply chain. In the supply chain design practices, the volatility of demand and limitations of levels are essential concerns. In this paper, a swarm intelligence-assisted supply chain management framework (SISCMF) has been proposed to increase profit and improve logistics performance. Due to the simplicity of design and rapid convergence, swarm intelligence (SI) algorithms are widely used in most supply network design fields and efficiently solve large-dimensional problems. A significant increase in resolving these problems has been seen in particle swarm optimization and ant colony algorithm. The simulation result suggested the operational cost (92.7%), demand prediction ratio (95.2%), order delivery ratio (96.9%), customer feedback ratio (98.2%), and product quality ratio (97.2%).","PeriodicalId":44506,"journal":{"name":"International Journal of Information Systems and Supply Chain Management","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80874336","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}
引用次数: 0
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