Abstract
Purpose: Society's concerns about environmental degradation have tightened competitive pressure and brought new challenges to small firms. Against this backdrop, this study develops a decision model to determine a suitable configuration for entrepreneurial orientation to help small firms manage circular economy challenges and improve their performance. Design/methodology/approach: This study used a multi-study and multi-method approach. Study 1, through qualitative in-depth interviews, identified a portfolio of circular economy challenges and entrepreneurial-orientation components. Study 2 applied the quality function deployment technique to determine the most important components of entrepreneurial orientation. Study 3 adopted a fuzzy set qualitative comparative analysis to determine the best configuration for challenges and components. Findings: The findings reveal a set of challenges and identify the salient need to combine the negation of these challenges with the components of entrepreneurial orientation; this combination will improve the performance of small firms. The research extends the current knowledge of managing circular economy challenges and offers decision-makers insights into improving their resilience. Originality/value: The use of the dynamic capability view, together with the multi-study and multi-method approach, may lead to an appropriate reconfiguration of entrepreneurial orientation, which, to date, has received limited empirical attention in the small-business-management discipline.
| Original language | English |
|---|---|
| Pages (from-to) | 2428-2450 |
| Number of pages | 23 |
| Journal | Management Decision |
| Volume | 62 |
| Issue number | 8 |
| DOIs | |
| State | Published - 27 Aug 2024 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2022, Emerald Publishing Limited.
Keywords
- Circular economy
- Dynamic capability
- Entrepreneurial orientation
- Fuzzy set qualitative comparative analysis
- Small firm
ASJC Scopus subject areas
- General Business, Management and Accounting
- Management Science and Operations Research