Z
Zongwei Luo
Researcher at Southern University of Science and Technology
Publications - 101
Citations - 3396
Zongwei Luo is an academic researcher from Southern University of Science and Technology. The author has contributed to research in topics: Supply chain & The Internet. The author has an hindex of 30, co-authored 95 publications receiving 2363 citations. Previous affiliations of Zongwei Luo include University of Georgia & University of Science and Technology of China.
Papers
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Journal ArticleDOI
Can Big Data and Predictive Analytics Improve Social and Environmental Sustainability
Rameshwar Dubey,Angappa Gunasekaran,Stephen J. Childe,Thanos Papadopoulos,Zongwei Luo,Samuel Fosso Wamba,David Roubaud +6 more
TL;DR: In this paper, the authors empirically investigated the effects of big data and predictive analytics (BDPA) on social performance (SP) and environmental performance (EP) using variance based structural equation modelling (i.e. PLS) and found that BDPA has significant impact on SP/EP.
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Antecedents of Resilient Supply Chains: An Empirical Study
Rameshwar Dubey,Angappa Gunasekaran,Stephen J. Childe,Thanos Papadopoulos,Constantin Blome,Zongwei Luo +5 more
TL;DR: A theoretical framework firmly grounded in the resource-based view (RBV) and the relational view that is tested for 250 manufacturing firms using hierarchical moderated regression analysis is conceptualized and implications of supply chain visibility, cooperation, trust, and behavioral uncertainty are provided.
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Exception Handling in Workflow Systems
TL;DR: In this paper, a defeasible workflow framework is proposed to support exception handling for workflow management using ECA rules to capture more contexts in workflow modeling, and a case-based reasoning mechanism with integrated human involvement is used to improve the exception handling capabilities.
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Industry 4.0 implementation for multinationals
TL;DR: In this article, the authors propose a global system approach, as defined by industry 4.0 (vertical, horizontal and total business integration), to resolve the inter-site challenges together with global standardization and inter-functional integration.
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Mobile edge computing based QoS optimization in medical healthcare applications
TL;DR: It is observed and analyzed that w-RCA produces better and effective results at small buffer and window sizes unlike BSA and Baseline by adopting large buffer size during QoS optimization.