Measuring Workers’ Perceptions of Algorithmic Control: Item Development and Content Validity Assessment

Date
2023-01-03
Authors
Alizadeh, Armin
Hirsch, Felix
Benlian, Alexander
Wiener, Martin
Cram, W. Alec
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6310
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Abstract
Algorithmic control (AC) refers to organizations’ use of increasingly intelligent algorithms and related digital technology to steer worker behavior. While previous studies have identified and conceptualized various forms of AC in both platform and traditional work contexts, the presented conceptualizations lack measurability. This key shortcoming hampers further empirical research on the current use of AC and its manifold consequences. In this study, we report on the item development process for a scale for measuring perceived AC from a workers’ perspective. Following well-established approaches, an initial item pool was developed. The items were discussed and refined with the support of five academic experts and three AC workers. A subsequent rating study with 98 workers was conducted to ensure the content validity of all items. On this basis, the study at hand presents a comprehensive set of items for both AC in general and its seven sub-dimensions.
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Socio-Technical Issues in Organizational Information Technologies, algorithmic control, content validity, item generation, scale development
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10
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Related To
Proceedings of the 56th Hawaii International Conference on System Sciences
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Attribution-NonCommercial-NoDerivatives 4.0 International
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