Institutional grammar coded data of rules in Smart, 2017-2022
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https://doi.org/10.34894/YROL7F
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资源简介:
This dataset is compiled as part of Damion Bunders' PhD project on the challenges that gig workers face when organising themselves in a worker-owned and worker-governed cooperative enterprise. It aimed to answer the following research question: How are regulative institutions used to curb members’ opportunism in a heterogeneous cooperative of gig workers whilst faced with an external shock? The dataset involves the case of gig workers’ cooperative Smart Belgium between 2017 and 2022, thereby covering the COVID-19 pandemic as an external shock. Through a content analysis on their bylaws and other regulatory documents, 412 rules were coded using the institutional grammar approach.
提供机构:
Erasmus University Rotterdam (EUR)
创建时间:
2023-04-28



