Research on Factors Influencing Enterprise Resilience from the Perspective of Capability —Configuration Analysis Based on fsQCA

The healthy development of the real economy is crucial for achieving high-quality development goals, maintaining economic stability, and enhancing international competitiveness. However, globalization and rapid changes in the market environment have introduced significant uncertainties, posing new challenges to enterprise operations. Consequently, improving enterprise resilience has become an increasingly important concern for managers. The 42 manufacturing companies that were the first to recover their performance from major impact events will become the research sample. The fuzzy-set Qualitative Comparative Analysis (fsQCA) method will be used to analyze the influencing factors of enterprise resilience from the perspective of capability. According to this analysis, there is a strong correlation between enterprise resilience and multiple indicators. Furthermore, combinations of different influencing factors can exhibit high resilience results. The analysis identifies three pathways: “efficient operation and resource buffer type,” “financial stability and leadership-driven type,” and “cash flow-driven type.” which provide a reference path for manufacturing enterprises to enhance their resilience. In addition, the conclusion indicates that innovation capability is not a necessary condition for affecting the resilience of enterprises. Only when z-score and managerial abilities complement each other can the resilience of the enterprise be enhanced.

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Publication Details

Journal
Proceedings of The International Conference on Advanced Research in Management Economics and Accounting
Published
2024-11-24
DOI
https://doi.org/10.33422/armea.v2i1.677
Citations
1
Primary Topic
Supply Chain Resilience and Risk Management
Type
article
Field-Weighted Citation Impact
0.55
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article

Research on Factors Influencing Enterprise Resilience from the Perspective of Capability —Configuration Analysis Based on fsQCA

Hairun Ma
1 citations
Proceedings of The International Conference on Advanced Research in Management Economics and Accounting
Supply Chain Resilience and Risk Management
0.55
article

Research on Factors Influencing Enterprise Resilience from the Perspective of Capability —Configuration Analysis Based on fsQCA

Hairun Ma
article en
1 citations

Abstract

The healthy development of the real economy is crucial for achieving high-quality development goals, maintaining economic stability, and enhancing international competitiveness. However, globalization and rapid changes in the market environment have introduced significant uncertainties, posing new challenges to enterprise operations. Consequently, improving enterprise resilience has become an increasingly important concern for managers. The 42 manufacturing companies that were the first to recover their performance from major impact events will become the research sample. The fuzzy-set Qualitative Comparative Analysis (fsQCA) method will be used to analyze the influencing factors of enterprise resilience from the perspective of capability. According to this analysis, there is a strong correlation between enterprise resilience and multiple indicators. Furthermore, combinations of different influencing factors can exhibit high resilience results. The analysis identifies three pathways: “efficient operation and resource buffer type,” “financial stability and leadership-driven type,” and “cash flow-driven type.” which provide a reference path for manufacturing enterprises to enhance their resilience. In addition, the conclusion indicates that innovation capability is not a necessary condition for affecting the resilience of enterprises. Only when z-score and managerial abilities complement each other can the resilience of the enterprise be enhanced.

Proceedings of The International Conference on Advanced Research in Management Economics and AccountingVol. 2(1)
Shandong Institute of Business and Technology (CN)
Openalex Percentile: Top 20%
Supply Chain Resilience and Risk Management
0.55
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