1. Creation of the algorithmic management questionnaire: A six‐phase scale development process.
- Author
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Parent‐Rocheleau, Xavier, Parker, Sharon K., Bujold, Antoine, and Gaudet, Marie‐Claude
- Subjects
EXPERIMENTAL design ,EMPLOYEE attitudes ,RESEARCH evaluation ,RESEARCH methodology ,RESEARCH methodology evaluation ,MATHEMATICAL models ,DISCRIMINANT analysis ,GOODNESS-of-fit tests ,ARTIFICIAL intelligence ,JOB involvement ,DECISION support systems ,CRONBACH'S alpha ,CONCEPTUAL structures ,RESEARCH funding ,AUTONOMY (Psychology) ,THEORY ,FACTOR analysis ,QUESTIONNAIRES ,DESCRIPTIVE statistics ,SCALE analysis (Psychology) ,MANAGEMENT ,PREDICTIVE validity ,STATISTICAL models ,WORKING hours ,ALGORITHMS ,GOAL (Psychology) - Abstract
There is an increasing body of research on algorithmic management (AM), but the field lacks measurement tools to capture workers' experiences of this phenomenon. Based on existing literature, we developed and validated the algorithmic management questionnaire (AMQ) to measure the perceptions of workers regarding their level of exposure to AM. Across three samples (overall n = 1332 gig workers), we show the content, factorial, discriminant, convergent, and predictive validity of the scale. The final 20‐item scale assesses workers' perceived level of exposure to algorithmic: monitoring, goal setting, scheduling, performance rating, and compensation. These dimensions formed a higher order construct assessing overall exposure to algorithmic management, which was found to be, as expected, negatively related to the work characteristics of job autonomy and job complexity and, indirectly, to work engagement. Supplementary analyses revealed that perceptions of exposure to AM reflect the objective presence of AM dimensions beyond individual variations in exposure. Overall, the results suggest the suitability of the AMQ to assess workers' perceived exposure to algorithmic management, which paves the way for further research on the impacts of these rapidly accelerating systems. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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