| Title |
Bios, mythoi and women entrepreneurs: A Wynterian analysis of the intersectional impacts of the COVID-19 pandemic on self-employed women and women-owned businesses
|
|---|---|
| Published in |
International Small Business Journal, August 2020
|
| DOI | 10.1177/0266242620939935 |
| Authors | |
| Abstract |
Decolonial philosopher Sylvia Wynter theorises the human animal as formed by both bios and mythoi, or matter and meaning. This article adopts this ontological perspective to explore the effects of the COVID-19 crisis on UK self-employed women and women-owned businesses through an intersectional lens accounting for race, class and gender. We argue that unequal health outcomes from COVID-19 are not solely biological; rather, they are also the outcome of social inequalities. Drawing upon the Wynterian elaboration of Fanon’s work on sociogeny – the shaping of the embodied human experience by the norms of given society – to explain this phenomenon, we contend that the same inequalities emerging in health outcomes will be reflected in entrepreneurship and self-employment. Drawing on Labour Force Survey data for the past decade, we peer through the Wynterian prism of bios and mythoi to argue that marginalised entrepreneurs are likely to experience extreme precarity due to COVID-19 and so require targeted support. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 50% |
| Colombia | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Members of the public | 1 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 271 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 12% |
| Lecturer | 25 | 9% |
| Student > Master | 24 | 9% |
| Researcher | 16 | 6% |
| Student > Doctoral Student | 13 | 5% |
| Other | 51 | 19% |
| Unknown | 110 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 70 | 26% |
| Social Sciences | 24 | 9% |
| Economics, Econometrics and Finance | 14 | 5% |
| Arts and Humanities | 7 | 3% |
| Psychology | 7 | 3% |
| Other | 34 | 13% |
| Unknown | 115 | 42% |