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Construction of an Early Risk Warning Model of Organizational Resilience: An Empirical Study Based on Samples of R&D Teams

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  • Si-hua Chen

Abstract

Facing fierce competition, it is critical for organizations to keep advantages either actively or passively. Organizational resilience is the ability of an organization to anticipate, prepare for, respond to, and adapt to incremental change and sudden disruptions in order to survive and prosper. It is of particular importance for enterprises to apprehend the intensity of organizational resilience and thereby judge their abilities to withstand pressure. By conducting an exploratory factor analysis and a confirmatory factor analysis, this paper clarifies a five‐factor model for organizational resilience of R&D teams. Moreover, based on it, this paper applies fuzzy integrated evaluation method to build an early risk warning model for organizational resilience of R&D teams. The application of the model to a company shows that the model can adequately evaluate the intensity of organizational resilience of R&D teams. The results are also supposed to contribute to applied early risk warning theory.

Suggested Citation

  • Si-hua Chen, 2016. "Construction of an Early Risk Warning Model of Organizational Resilience: An Empirical Study Based on Samples of R&D Teams," Discrete Dynamics in Nature and Society, John Wiley & Sons, vol. 2016(1).
    • Handle: RePEc:wly:jnddns:v:2016:y:2016:i:1:n:4602870
    DOI: 10.1155/2016/4602870
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    References listed on IDEAS

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    1. Si-Hua Chen, 2016. "The Influencing Factors of Enterprise Sustainable Innovation: An Empirical Study," Sustainability, MDPI, vol. 8(5), pages 1-17, April.
    2. Si-hua Chen & Wei He, 2014. "Study on Knowledge Propagation in Complex Networks Based on Preferences, Taking Wechat as Example," Abstract and Applied Analysis, John Wiley & Sons, vol. 2014(1).
    3. Wei He & Si-Hua Chen, 2014. "Game Analysis of Determinants of Stability of Semiconductor Modular Production Networks," Sustainability, MDPI, vol. 6(8), pages 1-23, July.
    4. Si-hua Chen & Wei He, 2014. "Study on Knowledge Propagation in Complex Networks Based on Preferences, Taking Wechat as Example," Abstract and Applied Analysis, Hindawi, vol. 2014, pages 1-11, July.
    5. Karl E. Weick, 1988. "Enacted Sensemaking In Crisis Situations[1]," Journal of Management Studies, Wiley Blackwell, vol. 25(4), pages 305-317, July.
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