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.

This entry is a two-file data package totaling 1.1 MB, containing files in .docx and .dta formats.If you use this dataset, please cite: Bunders, Damion; De Moor, Tine (2023). Institutional grammar coded data of rules in Smart, 2017-2022. Erasmus University Rotterdam (EUR). Dataset. https://doi.org/10.25397/eur.22717171