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XM Michael Song

Researcher at University of Washington

Publications -  3
Citations -  462

XM Michael Song is an academic researcher from University of Washington. The author has contributed to research in topics: Organizational learning & Personal knowledge management. The author has an hindex of 3, co-authored 3 publications receiving 431 citations.

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From experience : applying the risk diagnosing methodology

TL;DR: In this article, the authors present the Risk Diagnosing Methodology (RDM), which aims to identify and evaluate technological, organizational and business risks in product innovation, and they describe how Unilever, one of the world's leading companies in fast-moving consumer goods, adopted RDM after a major project failure in the mid nineties.
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Determinants of the Level of Knowledge Application: A Knowledge-Based and Information-Processing Perspective*

TL;DR: In this paper, the authors used the knowledge-based theory of the firm and considered its roots in the information-processing approach to organization theory to identify and structure potential antecedents of knowledge application.
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An Empirical Investigation into the Antecedents of Knowledge Dissemination at the Strategic Business Unit Level

TL;DR: In this article, the authors identified 17 important factors in enhancing knowledge dissemination and validated 10 of these factors empirically and determined their relative impact on the level of knowledge dissemination in new product development.