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Modeling Risk Management for Resources and Environment in China pp 203–209Cite as

Research on Influence Factors Sensitivity of Knowledge Transfer from Implementation Consultant to Key User in ERP

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Part of the book series: Computational Risk Management ((Comp. Risk Mgmt))

Abstract

ERP implementation is a knowledge transfer process of actors. The research collects questionnaires from the key users who participate in manufacturing ERP project which has been completed. With the 155 effective questionnaires of 45 manufacturing ERP projects from 15 areas, it empirically researches the influence factors sensitivity of knowledge transfer from implementation consultant to key user from four aspects of the characteristic of knowledge to be transferred, the risk and uncertainty of transfer process, the characteristic of transfer context, the characteristic of knowledge source and the characteristic of knowledge recipient.

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Author information

Authors and Affiliations

  1. School of Economics and Management, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, 212003, People’s Republic of China

    Jie Yin & Shilun Ge

  2. Department of Postgraduate Administration, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, 212003, People’s Republic of China

    Feng Li

  3. State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering, HoHai University, Nanjing, Jiangsu, 210098, People’s Republic of China

    Feng Li

Authors
  1. Jie Yin
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  2. Shilun Ge
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  3. Feng Li
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Corresponding author

Correspondence to Jie Yin .

Editor information

Editors and Affiliations

  1. , Risklab, University of Toronto, Spadina Crescent 1, Toronto, M5S 3G3, Ontario, Canada

    Desheng Dash Wu

  2. , Academy of Mathematics and Systems Scien, Chinese Academy of Sciences, Beijing, 100190, China, People's Republic

    Yong Zhou

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© 2011 Springer-Verlag Berlin Heidelberg

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Yin, J., Ge, S., Li, F. (2011). Research on Influence Factors Sensitivity of Knowledge Transfer from Implementation Consultant to Key User in ERP. In: Wu, D., Zhou, Y. (eds) Modeling Risk Management for Resources and Environment in China. Computational Risk Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18387-4_22

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