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William Yu Chung Wang

Researcher at University of Waikato

Publications -  88
Citations -  2302

William Yu Chung Wang is an academic researcher from University of Waikato. The author has contributed to research in topics: Supply chain & Supply chain management. The author has an hindex of 18, co-authored 81 publications receiving 1832 citations. Previous affiliations of William Yu Chung Wang include Auckland University of Technology & University of South Australia.

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Environmental orientation and corporate performance : the mediation mechanism of green supply chain management and moderating effect of competitive intensity

TL;DR: Li et al. as discussed by the authors proposed and empirically tested a model delineating the relationship among environmental orientation, green supply chain management (GSCM) activities (green purchase, customer cooperation and investment recovery) and corporate performance.
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An integrated big data analytics-enabled transformation model: Application to health care

TL;DR: A big data analytics-enabled transformation model based on practice-based view is developed, which reveals the causal relationships among big data Analytics capabilities, IT-enabled Transformation practices, benefit dimensions, and business values and provides practical insights for managers.
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How social media applications affect B2B communication and improve business performance in SMEs

TL;DR: This is one of the first empirical studies investigating the relationship between the capabilities of SMA (transmission velocity, parallelism, symbol sets, rehearsability, and reprocessability) and B2B communication and business performance and calls for more research to verify this finding.
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Green marketing and its impact on supply chain management in industrial markets

TL;DR: In this paper, the most recent advances on green industrial marketing, green/sustainable supply chains and their interplay in green industrial branding are discussed, and future research directions are explored.
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Does big data mean big knowledge? KM perspectives on big data and analytics

TL;DR: It is suggested that academics and practitioners in KM must be capable of controlling the application of big data/analytics, and calls for further research investigating how KM can conceptually and operationally use and integrate big data /analytics to foster organizational knowledge for better decision-making and organizational value creation.