Developing transactive memory to the supply chain based on buyer-supplier digital communities

IF 8.3 1区 工程技术 Q1 ECONOMICS
Ania Izabela Rynarzewska , Larry C. Giunipero , Diane Denslow
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引用次数: 0

Abstract

Knowledge and expertise are critical to the proper functioning of supply chains. However, scholars have only stated the need for knowledge and information sharing and overlooked how it conceptually develops in organizations. This research provides an in-depth look at the source of knowledge through the lens of four decades of Transactive Memory Systems (TMS) research. Through netnographic research, we first identified communities where TMS occurred naturally. We found that they were developed to provide members access to a greater pool of knowledge that improved product innovation and supplier choice and affected their buying behavior. We also found that it enabled members to become more resilient during the global supply chain crisis. Finally, we identified distinct, though often overlapping, member roles to encourage TMS development. Previous research on TMS has mainly focused on relationships between dyads and within small organizations. This paper extends the TMS literature into the supply chain by applying it through a structure-strategy-performance model. We conclude by reasoning that understanding the theory behind the source of knowledge will enable firms to develop and enhance more efficient supply networks. Finally, we also outline the extent to which these networks can be developed.
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来源期刊
CiteScore
16.20
自引率
16.00%
发文量
285
审稿时长
62 days
期刊介绍: Transportation Research Part E: Logistics and Transportation Review is a reputable journal that publishes high-quality articles covering a wide range of topics in the field of logistics and transportation research. The journal welcomes submissions on various subjects, including transport economics, transport infrastructure and investment appraisal, evaluation of public policies related to transportation, empirical and analytical studies of logistics management practices and performance, logistics and operations models, and logistics and supply chain management. Part E aims to provide informative and well-researched articles that contribute to the understanding and advancement of the field. The content of the journal is complementary to other prestigious journals in transportation research, such as Transportation Research Part A: Policy and Practice, Part B: Methodological, Part C: Emerging Technologies, Part D: Transport and Environment, and Part F: Traffic Psychology and Behaviour. Together, these journals form a comprehensive and cohesive reference for current research in transportation science.
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