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1 – 2 of 2Most feminists policies are aspirational. Deficiencies include vague terms of what constitutes ‘feminist’ within policy, ambiguous investment criteria, lack of consultation and…
Abstract
Purpose
Most feminists policies are aspirational. Deficiencies include vague terms of what constitutes ‘feminist’ within policy, ambiguous investment criteria, lack of consultation and the use of the binary definition of gender negating gender-diverse people (Tiessen, 2019). The purpose of this study is to identify parameters that characterize feminist entrepreneurship policies and to advance recommendations to operationalize these policies.
Design/methodology/approach
The COVID-19 pandemic has unveiled fragilities in the socio-economic gains that women entrepreneurs have achieved. Gender-regression is, in part, the product of entrepreneurship policies that fail to recognize the nature and needs of women entrepreneurs. To inform recovery measures, this article considers two research questions: what are the parameters of feminist entrepreneurship policies? and how can parameters of feminist entrepreneurship policy be operationalized in pandemic recovery measures? To inform the questions, the study draws on the academic literature and thematic analysis of three collective feminist action plans to operationalize ten parameters that characterize feminist entrepreneurship policy.
Findings
Supplanting ‘feminist’ for women in the construction of entrepreneurship policies, without specifications of how parameters differ dilutes government's efforts to achieve gender quality and women's economic empowerment. To inform policy, recommendations of three feminist recovery policies clustered under seven themes: importance of addressing root causes of inequality; need to invest in social and economic outcomes; economic security; enhancing access to economic resources; investment in infrastructure; inclusive decision-making; and need for gender disaggregated data to inform policy. Differences in policy priorities between collective feminist recovery plans and the academic literature are reported.
Research limitations/implications
The parameters of feminist entrepreneurial policy require further interpretation and adaptation in different policy, cultural and geo-political contexts. Scholarly attention might focus on advisory processes that inform feminist policies, such as measures to address gender-regressive impacts of the COVID-19 pandemic. Research is also needed to understand the impacts of feminist policies on the lived experiences of diverse women entrepreneurs. Limitations: The study design did not incorporate viewpoints of policymakers or capture bureaucratic boundary patrolling practices that stymie feminist policies. Thematic analysis was limited to three feminist recovery plans from two countries.
Practical implications
Recommendations to operationalize feminist entrepreneurship policies in the context of pandemic recovery are described.
Originality/value
Ten parameters of feminist entrepreneurship policy are explored. The conceptual study also advances a framework of feminist entrepreneurship policy and considers boundary conditions for when and how the parameters are applicable.
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Keywords
Daniel Piazolo and Utku Cem Dogan
Previous research on automation and job disruption is only marginally related to the real estate industry and its characteristics. This study investigates the effects of…
Abstract
Purpose
Previous research on automation and job disruption is only marginally related to the real estate industry and its characteristics. This study investigates the effects of digitization on jobs in German real estate sector, in order to assess the proportion of jobs threatened to be replaced by automation. Since Germany is the largest EU economy insights for the German real estate market allow a first approximation for Europe.
Design/methodology/approach
An extensive database of the German Federal Employment Agency containing job definitions and occupation titles is matched with real estate criteria to create a subset with the relevant real estate occupations. This data is combined with a database of the German Institute of Employment Research reflecting to what extent tasks within jobs can be automated by current technical capabilities.
Findings
For the 286 identified occupations within the real estate sector a weighted average of 47 percent substitution probability through current technological capabilities is derived for tasks within the examined occupations.
Practical implications
This contribution indicates the extent of the structural change the real estate sector has to face due to digitization: One out of two real estate jobs will have to be re-created.
Originality/value
This research quantifies the magnitude of the job killer aspect of digitization in the real estate sector.
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