Paper Number
1896
Paper Type
Complete Research Paper
Abstract
Organizations increasingly often apply algorithmic control, especially in the gig-work sector. Previous literature has identified various forms of resistant behavior that gig workers display towards algorithmic control, but the exact individual algorithmic control measures that invoke resistance are still largely unidentified. The lack of validated measures for worker resistance towards algorithmic control hinders filling this research gap. Therefore, this paper presents the first steps towards creating such measures in a scale development process following established methods. An item pool was created, which was then refined through a series of expert interviews and a rating study with gig workers. The result is a set of 37 items for resistance to algorithmic control and the various subdimensions of resistance that we identified.
Recommended Citation
de Jong, Alexander Willem; Weber, Matthias; and Remus, Ulrich, "Towards a Measurement Instrument for Assessing Resistance to Algorithmic Control: Conceptualization and Content Validity" (2024). ECIS 2024 Proceedings. 13.
https://aisel.aisnet.org/ecis2024/track05_fow/track05_fow/13
Towards a Measurement Instrument for Assessing Resistance to Algorithmic Control: Conceptualization and Content Validity
Organizations increasingly often apply algorithmic control, especially in the gig-work sector. Previous literature has identified various forms of resistant behavior that gig workers display towards algorithmic control, but the exact individual algorithmic control measures that invoke resistance are still largely unidentified. The lack of validated measures for worker resistance towards algorithmic control hinders filling this research gap. Therefore, this paper presents the first steps towards creating such measures in a scale development process following established methods. An item pool was created, which was then refined through a series of expert interviews and a rating study with gig workers. The result is a set of 37 items for resistance to algorithmic control and the various subdimensions of resistance that we identified.
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