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An Empirical Study of the Effect of SCM Practice on Corporate Performance (Based Specifically on the Chinese Manufacturing Industry)

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Knowledge Management in Organizations (KMO 2015)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 224))

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Abstract

Few empirical studies on the practical effectiveness of supply chain management (SCM) in Chinese corporations have been conducted. Given this situation, using the Chinese industry as the research target, the current status of SCM practice and its practical effectiveness in China are investigated herein based on the data analysis of well-designed questionnaires. The contribution level of SCM practice to corporate business performance is examined through the construction and estimation of structure equation models. The results of this empirical study could be used as a guidance for the SCM practice in the Chinese manufacturing industry in the future.

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Author information

Authors and Affiliations

  1. Graduate School of International Management, Yokohama City University, 22-2 Seto, Kanazawa-ku, Yokohama, 236-0027, Japan

    Baolin Xia & Akira Kamoshida

Authors
  1. Baolin Xia
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  2. Akira Kamoshida
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Corresponding author

Correspondence to Baolin Xia .

Editor information

Editors and Affiliations

  1. Staffordshire University, Stoke-on-Trent, United Kingdom

    Lorna Uden

  2. University of Maribor, Maribor, Slovenia

    Marjan Heričko

  3. National University of Kaohsiung, Kaohsiung City, Taiwan

    I-Hsien Ting

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Xia, B., Kamoshida, A. (2015). An Empirical Study of the Effect of SCM Practice on Corporate Performance (Based Specifically on the Chinese Manufacturing Industry). In: Uden, L., Heričko, M., Ting, IH. (eds) Knowledge Management in Organizations. KMO 2015. Lecture Notes in Business Information Processing, vol 224. Springer, Cham. https://doi.org/10.1007/978-3-319-21009-4_10

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  • DOI: https://doi.org/10.1007/978-3-319-21009-4_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-21008-7

  • Online ISBN: 978-3-319-21009-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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