Creation of the algorithmic management questionnaire: A six-phase scale development process
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...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
2024
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| Online Access: | http://purl.org/au-research/grants/arc/FL160100033 http://hdl.handle.net/20.500.11937/94786 |
| _version_ | 1848765923369943040 |
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| author | Parent-Rocheleau, X. Parker, Sharon Bujold, A. Gaudet, M.C. |
| author_facet | Parent-Rocheleau, X. Parker, Sharon Bujold, A. Gaudet, M.C. |
| author_sort | Parent-Rocheleau, X. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T11:42:58Z |
| format | Journal Article |
| id | curtin-20.500.11937-94786 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:42:58Z |
| publishDate | 2024 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-947862024-05-06T02:54:44Z Creation of the algorithmic management questionnaire: A six-phase scale development process Parent-Rocheleau, X. Parker, Sharon Bujold, A. Gaudet, M.C. 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. 2024 Journal Article http://hdl.handle.net/20.500.11937/94786 10.1002/hrm.22185 http://purl.org/au-research/grants/arc/FL160100033 http://creativecommons.org/licenses/by-nc-nd/4.0/ fulltext |
| spellingShingle | Parent-Rocheleau, X. Parker, Sharon Bujold, A. Gaudet, M.C. Creation of the algorithmic management questionnaire: A six-phase scale development process |
| title | Creation of the algorithmic management questionnaire: A six-phase scale development process |
| title_full | Creation of the algorithmic management questionnaire: A six-phase scale development process |
| title_fullStr | Creation of the algorithmic management questionnaire: A six-phase scale development process |
| title_full_unstemmed | Creation of the algorithmic management questionnaire: A six-phase scale development process |
| title_short | Creation of the algorithmic management questionnaire: A six-phase scale development process |
| title_sort | creation of the algorithmic management questionnaire: a six-phase scale development process |
| url | http://purl.org/au-research/grants/arc/FL160100033 http://hdl.handle.net/20.500.11937/94786 |