Finding opportunity in COVID-19: A narrative study of women artisan microentrepreneurs

Marie Segares

Journal of the International Council for Small Business, 2022, vol. 3, issue 2, 169-175

Abstract: As the COVID-19 pandemic and its impact on the United States and global economies unfolded, the sewing industry was one of many that faced widespread uncertainty. A narrative research study examined how artisan microentrepreneurs in the sewing space experienced entrepreneurial opportunity alertness as they navigated the early months of the pandemic. Findings indicate that participation in multistage artisan entrepreneur communities provided the greatest benefits for members with no perceptible disadvantages. Entrepreneurs with diverse coping strategies were more resilient to challenges. The COVID-19 pandemic accelerated consumer adoption of digital technology in the United States, which facilitated growth for microbusinesses that have digital fluency or are ready to adopt new technologies. Policy recommendations are to restore net neutrality and implement federal funding for nonemployer firms impacted by disaster so artisan microbusinesses can thrive in the digital space.

Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/26437015.2021.1971583 (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:ucsbxx:v:3:y:2022:i:2:p:169-175

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/ucsb20

DOI: 10.1080/26437015.2021.1971583

Access Statistics for this article

Journal of the International Council for Small Business is currently edited by Eric Liguori

More articles in Journal of the International Council for Small Business from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().