Algorithmic management and intimate partner surveillance in gig work

Purpose Although algorithmic management’s impact on gig workers is extensively studied, its psychological spillover into private life—particularly the emergence of intimate partner surveillance (IPS) as a control-compensation mechanism—remains a critical blind spot. This investigation theorizes algorithmic management as a catalyst for IPS behaviors, testing perceived loss of control as a mediating mechanism and psychological capital (PsyCap) and algorithmic transparency as moderators. Design/methodology/approach Using a two-wave design, survey data were collected from 220 gig workers in Pakistan’s on-demand transport and delivery sectors. Relationships were tested via PROCESS Macro after controlling for key covariates. Findings Algorithmic management was significantly associated with both directly and indirectly via perceived loss of control. PsyCap and transparency each buffered algorithmic management’s effect on control loss but did not significantly attenuate its indirect effect on IPS. Research limitations/implications This study’s causal claims are tempered by its focus on a platform-governed workforce—without comparison to traditional service workers unaffected by algorithmic control. While the male sample mirrors Pakistan’s gig economy reality, self-reported IPS measures and cultural specificity may limit transferability to contexts with different gender-power dynamics. Practical implications Platform-level interventions (PsyCap initiatives, transparency enhancements) may partially mitigate control erosion but appear insufficient alone to prevent relational spillover. Complementary family-level strategies (e.g. open communication and mutual privacy agreements) may be needed. Originality/value By integrating algorithmic management and work-family scholarship through a multi-theoretical lens, this study offers a groundbreaking analysis of how digital labor platforms extend their control beyond the workplace, disrupting personal relationships in ways previously overlooked.

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Publication Details

Journal
Journal of Enterprise Information Management
Published
2025-09-25
DOI
https://doi.org/10.1108/jeim-04-2025-0238
Citations
2
Primary Topic
Digital Economy and Work Transformation
Type
article
Field-Weighted Citation Impact
8.40
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article

Algorithmic management and intimate partner surveillance in gig work

Syed Harris Laeeque
2 citations
Journal of Enterprise Information Management
Digital Economy and Work Transformation
8.40
article

Algorithmic management and intimate partner surveillance in gig work

Syed Harris Laeeque
article en
2 citations

Abstract

Purpose Although algorithmic management’s impact on gig workers is extensively studied, its psychological spillover into private life—particularly the emergence of intimate partner surveillance (IPS) as a control-compensation mechanism—remains a critical blind spot. This investigation theorizes algorithmic management as a catalyst for IPS behaviors, testing perceived loss of control as a mediating mechanism and psychological capital (PsyCap) and algorithmic transparency as moderators. Design/methodology/approach Using a two-wave design, survey data were collected from 220 gig workers in Pakistan’s on-demand transport and delivery sectors. Relationships were tested via PROCESS Macro after controlling for key covariates. Findings Algorithmic management was significantly associated with both directly and indirectly via perceived loss of control. PsyCap and transparency each buffered algorithmic management’s effect on control loss but did not significantly attenuate its indirect effect on IPS. Research limitations/implications This study’s causal claims are tempered by its focus on a platform-governed workforce—without comparison to traditional service workers unaffected by algorithmic control. While the male sample mirrors Pakistan’s gig economy reality, self-reported IPS measures and cultural specificity may limit transferability to contexts with different gender-power dynamics. Practical implications Platform-level interventions (PsyCap initiatives, transparency enhancements) may partially mitigate control erosion but appear insufficient alone to prevent relational spillover. Complementary family-level strategies (e.g. open communication and mutual privacy agreements) may be needed. Originality/value By integrating algorithmic management and work-family scholarship through a multi-theoretical lens, this study offers a groundbreaking analysis of how digital labor platforms extend their control beyond the workplace, disrupting personal relationships in ways previously overlooked.

Journal of Enterprise Information ManagementVol. 39(2)
Bahria University (PK)
Openalex Percentile: Top 3%
Digital Economy and Work Transformation
8.40
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