A safe haven in times of crisis: The appeal of family companies as employers amid the COVID-19 pandemic

Philipp Jaufenthaler

Journal of Family Business Strategy, 2023, vol. 14, issue 1

Abstract: Family firms often struggle to recruit skilled non-family employees. Applying a mixed-method strategy, this article investigates the changing perception of family firms as attractive employers in the context of the COVID-19 pandemic. Experimental results indicate that family firms benefit from a greater popularity amid crises owing to perceptions that they offer greater job security and compensation. Qualitative findings expand on these results by identifying new attractiveness-relevant factors that only come into play amid crises—specifically, multifaceted conceptions of family firms’ crisis responses and their importance for local communities and economies contribute to their situational appeal.

Keywords: Family firm perception; Signaling theory; Recruitment in family firms; Organizational attractiveness; Crisis response; COVID-19 (search for similar items in EconPapers)
Date: 2023
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/S1877858522000444
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:fambus:v:14:y:2023:i:1:s1877858522000444

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/719791/bibliographic
http://www.elsevier. ... 719791/bibliographic

DOI: 10.1016/j.jfbs.2022.100520

Access Statistics for this article

Journal of Family Business Strategy is currently edited by J.H. Astrachan

More articles in Journal of Family Business Strategy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().