J
J. Michael Tarn
Researcher at Western Michigan University
Publications - 42
Citations - 1151
J. Michael Tarn is an academic researcher from Western Michigan University. The author has contributed to research in topics: Enterprise resource planning & Systems development life cycle. The author has an hindex of 15, co-authored 42 publications receiving 1028 citations.
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Exploring consumer perceived risk and trust for online payments
TL;DR: The results show that in the current stage of China's online payment, consumers have built up trust first as an antecedent of their perceived risks, and perceived total risk is negatively related to Trust while perceived risks can be classified into two types: system dependent risk which is positively related to trust and transactional risk which are negatively relatedto trust.
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Exploring the rationales for ERP and SCM integration
TL;DR: This research examines these two important concepts in terms of their evolution, functions and current development and further explores the rationales for their integration by analyzing the problems of ERP and presenting the solutions of SCM.
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The New Spectrum of the Cross-Enterprise Solution: The Integration of Supply Chain Management and Enterprise Resources Planning Systems
TL;DR: This research aims to compare SCR with ERP in terms of their evolution, application and functionality, investigate their relationship, and explore their potential system integration.
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E‐fulfillment: the strategy and operational requirements
TL;DR: An e-fulfillment system is designed to meet the high order volume and stringent customer service requirements of global business-to-consumer e-commerce as discussed by the authors, which converts the traditional warehouse into a multi-channel e-fillment center.
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Internet dependency: Its impact on online behavioral patterns in E-commerce
TL;DR: In this article, the authors investigate the possibility of the non-detrimental effects of Internet dependency and propose an instrument to measure both positive and negative Internet dependency, and assess the effects of these two types of dependency on several online activities to delineate the characteristics of Internet users.