Resilience to the pandemic: The role of female management, multi-unit structure, and business model innovation
Jaime Gómez,
Sorin M.S. Krammer,
Beatriz Pérez-Aradros and
Idana Salazar
Journal of Business Research, 2024, vol. 172, issue C
Abstract:
In this study, we analyse organisational resilience in the context of the recent COVID-19 pandemic. Combining arguments from the resource-based view and ergodicity, we theorise that organisational resilience depends on certain key characteristics of firms and their ability to innovate their business models. Specifically, we focus on female leadership and multi-unit structure as two characteristics that may condition the resource availability of firms during the pandemic and consider firms' innovative actions in response to the pandemic. We test our hypotheses using data from more than 11,000 firms in 34 countries. Our results confirm that female-led firms are less resilient, while multi-unit firms and those that introduced business model innovations are more resilient to the COVID-19 shock. Based on these findings, we suggest management and policy implications for building a firm’s resilience to future disruptions.
Keywords: Resilience; COVID-19; Resources; Ergodicity; Business model innovation (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0148296323007877
Full text for ScienceDirect subscribers only
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:eee:jbrese:v:172:y:2024:i:c:s0148296323007877
DOI: 10.1016/j.jbusres.2023.114428
Access Statistics for this article
Journal of Business Research is currently edited by A. G. Woodside
More articles in Journal of Business Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().