Explaining Firm Performance During the Covid-19 With fsQCA
The Role of Supply Network Complexity, Inventory Turns, and Geographic Dispersion
Bibliographic Data
| ID | 3338728 |
|---|---|
| Authors | Weili Yin (0000-0002-9073-5195, Yunnan University of Finance And Economics), Wenxue Ran (0000-0002-6700-6066, Yunnan University of Finance And Economics, corresponding author) |
| Year | 2023 |
| Volume | 13 |
| Issue | 2 |
| Pages | 21582440231173671-21582440231173671 |
| Publication date | 2023-04-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | SAGE Open (JOURNAL) |
| Journal identifiers | ISSN: 2158-2440 • E-ISSN: 2158-2440 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/21582440231173671 |
| PMID | 37303591 |
| OpenAlex | W4379520186 |
| Language | EN |
| Citations received | 2 |
| References cited | 68 |
The COVID-19 pandemic has significantly affected firm performance. As a result, many studies have examined the significance of supply network complexity. Our paper uses the fuzzy set qualitative comparative analysis (fsQCA) method to investigate the causal relationships among the supply network complexity, geographic dispersion, inventory turns, and firm performance. Using a sample of 263 Chinese listed firms, we find that no single factor is necessary to achieve high firm performance during COVID-19 and reveal four paths to produce high performance: operational level driven, supply base complexity driven, and customer base complexity driven with supplier distance, and supply network complexity absence. Furthermore, our findings suggest that supply-based complexity-driven and customer-based complexity-driven can improve firm performance, but not all supply network complexity dimensions can improve firm performance. Hence, firms need to choose the suitable path based on their specific situations
Business · Econometrics · Economics · Industrial organization · Machine learning · Qualitative comparative analysis · Supply chain · Supply network · Computer Science · Economic and Technological Innovation · Qualitative Comparative Analysis Research · Supply Chain Resilience and Risk Management · Marketing
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| Unique citing works | 2 |
|---|---|
| Citations per year | 0,67 |
| Citation span | 2023 - 2025 (3) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 2 |