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Eric W. K. Tsang
Researcher at University of Texas at Dallas
Publications - 89
Citations - 14614
Eric W. K. Tsang is an academic researcher from University of Texas at Dallas. The author has contributed to research in topics: Organizational learning & Knowledge transfer. The author has an hindex of 45, co-authored 85 publications receiving 13407 citations. Previous affiliations of Eric W. K. Tsang include Wayne State University & University of Texas at Austin.
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Social Capital, Networks, and Knowledge Transfer
TL;DR: In this paper, the authors examine how social capital dimensions of networks affect the transfer of knowledge between network members and propose a set of conditions that promote knowledge transfer for the different network types.
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Organizational Learning and the Learning Organization: A Dichotomy Between Descriptive and Prescriptive Research
TL;DR: In this article, the authors examine the dichotomy between two main streams of theorizing in the field of organizational learning: prescriptive writings on the learning organization and descriptive researches on organizational learning which tackle the question "How does an organization learn?"
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Inter-Organizational Knowledge Transfer: Current Themes and Future Prospects
TL;DR: In this paper, the authors present a theoretical framework for inter-organizational knowledge transfer and identify key themes covered by the six articles included in the Special Issue on Inter-Organizational Knowledge Transfer, and then discuss priorities for future research.
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Can guanxi be a source of sustained competitive advantage for doing business in China
TL;DR: In this paper, the authors suggest ways for companies to protect their guanxi and make this important aspect of Chinese management more understandable to westerners and its use by western managers enhanced and encouraged.
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Replication and Theory Development in Organizational Science: A Critical Realist Perspective
Eric W. K. Tsang,Kai Man Kwan +1 more
TL;DR: In this article, the role played by replication in theory development is assessed from a critical realist perspective, and a detailed argument for the significance of replication in social science research is presented.