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Eric W.T. Ngai
Researcher at Hong Kong Polytechnic University
Publications - 239
Citations - 22563
Eric W.T. Ngai is an academic researcher from Hong Kong Polytechnic University. The author has contributed to research in topics: Supply chain & Radio-frequency identification. The author has an hindex of 64, co-authored 219 publications receiving 19658 citations. Previous affiliations of Eric W.T. Ngai include Lingnan University & University of Arkansas.
Papers
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Information systems in supply chain integration and management
TL;DR: The literature available on IT in SCM has been classified using suitable criteria and then critically reviewed to develop a framework for studying the applications of IT inSCM and some future research directions are indicated.
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Review: Application of data mining techniques in customer relationship management: A literature review and classification
TL;DR: Findings of this paper indicate that the research area of customer retention received most research attention and classification and association models are the two commonly used models for data mining in CRM.
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Big data analytics in logistics and supply chain management: Certain investigations for research and applications
TL;DR: In this article, the authors classify the literature on the application of big data business analytics (BDBA) on logistics and supply chain management (LSCM) based on the nature of analytics (descriptive, predictive, prescriptive) and the focus of the LSCM (strategy and operations).
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The application of data mining techniques in financial fraud detection: A classification framework and an academic review of literature
TL;DR: The main data mining techniques used for FFD are logistic models, neural networks, the Bayesian belief network, and decision trees, all of which provide primary solutions to the problems inherent in the detection and classification of fraudulent data.
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Application of decision-making techniques in supplier selection: A systematic review of literature
TL;DR: A systematic literature review on articles published from 2008 to 2012 on the application of DM techniques for supplier selection is provided by using a methodological decision analysis in four aspects including decision problems, decision makers, decision environments, and decision approaches.