Mobilizing potential slack and firm performance: Evidence from French SMEs before and during the COVID-19 period
Vivien Lefebvre
Journal of Small Business Management, 2024, vol. 62, issue 4, 1719-1748
Abstract:
No-debt SMEs have potential slack in that they can raise financial resources to face external shocks or explore new business opportunities. This study compares the performance implications of potential slack mobilization during and before the COVID-19 context by building on arguments from the behavioral theory of firms and corporate finance. The disruptions caused by the COVID-19 crisis theoretically amplify the stabilizing and adaptive functions of potential slack and thus represent an interesting and promising field of investigation. Based on a sample of French SMEs, the empirical results show that the mobilization of potential slack is positively associated with profitability during the COVID-19 crisis but not before it. Slack mobilization is negatively associated with profitability outside the COVID-19 period when SMEs mobilize important amounts of potential slack. Overall, this study sheds light on the process of slack resource mobilization by SMEs and the central moderating role of the economic environment.
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/00472778.2023.2182440 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:ujbmxx:v:62:y:2024:i:4:p:1719-1748
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/ujbm20
DOI: 10.1080/00472778.2023.2182440
Access Statistics for this article
Journal of Small Business Management is currently edited by Eric Liguori
More articles in Journal of Small Business Management from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().