Institutional grammar coded data of rules in Smart, 2017-2022

DOI

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.

Online resource. https://doi.org/10.25397/eur.22717171

Identifier
DOI https://doi.org/10.34894/YROL7F
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/YROL7F
Provenance
Creator Damion Bunders; Tine De Moor
Publisher DataverseNL
Contributor Damion Bunders
Publication Year 2025
Funding Reference Dutch Research Council 024.003.025
Rights CC-BY-4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Contact Damion Bunders (Erasmus University Rotterdam <https://ror.org/057w15z03>)
Representation
Resource Type Dataset
Version 1.1
Discipline Other