Performance of small firms in a circular economy: configuring challenges and entrepreneurial orientation. Khan, E. A., Chowdhury, M. M. H., Hossain, M. A., Mahmud, A. S., Baabdullah, A. M., & Dwivedi, Y. K. Management Decision, 2022. https://cronfa.swan.ac.uk/Record/cronfa61369/Download/61369__25246__010756dd469a4cdfb61b3c4b991eb653.pdf
Performance of small firms in a circular economy: configuring challenges and entrepreneurial orientation [link]Paper  doi  abstract   bibtex   
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.
@article{pub.1151831826,
 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. },
 author = {Khan, Eijaz Ahmed and Chowdhury, Md. Maruf Hossan and Hossain, Mohammad Alamgir and Mahmud, A.K.M. Shakil and Baabdullah, Abdullah M. and Dwivedi, Yogesh K.},
 doi = {10.1108/md-05-2022-0731},
 journal = {Management Decision},
 keywords = {},
 note = {https://cronfa.swan.ac.uk/Record/cronfa61369/Download/61369__25246__010756dd469a4cdfb61b3c4b991eb653.pdf},
 number = {},
 pages = {},
 title = {Performance of small firms in a circular economy: configuring challenges and entrepreneurial orientation},
 url = {https://app.dimensions.ai/details/publication/pub.1151831826},
 volume = {},
 year = {2022}
}

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