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

Research output: Contribution to book/conference proceedings/anthology/reportConference contributionContributedpeer-review



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.


Original languageEnglish
Title of host publicationProceedings of the 56th Hawaii International Conference on System Sciences (HICSS)
Place of PublicationMaui, HI
Publication statusPublished - 2023

External IDs

Scopus 85152126210
ORCID /0000-0001-6006-2594/work/142254418


DFG Classification of Subject Areas according to Review Boards


  • acceptance, affect, affective, human-robot interaction, qualitative analysis, technology, technology acceptance model