Presentation Schedule
How to Unpack the Black Box? The Effect of Algorithmic Transparency of Digital Labor Platforms on Overtime Work (91932)
Wednesday, 26 March 2025 15:40
Session: Poster Session 3
Room: Orion Hall (5F)
Presentation Type: Poster Presentation
Recent development of algorithmic management on digital labor platforms has raised concerns about gig workers’ longer working hours but lower pay. Therefore, an increasing number of researchers and public sectors are advocating for algorithmic transparency to give gig workers more control over their work and free time. Yet, few studies have empirically examined it. In the present research, we examine the effect of algorithmic transparency on overtime work through a cross-sectional study (Study 1) and two experiments (Studies 2 and 3, N = 912). The results show that algorithmic transparency increases perceived informational fairness and this increased perceived informational fairness after algorithmic transparency suppresses the negative effect of algorithmic transparency on overtime work (Studies 1 to 2). Additionally, the effect of algorithmic transparency on overtime work depends on how the algorithmic information is presented (e.g., different salience and gain-loss framing). Specifically, salient (vs. not salient) algorithmic information reduces people’s overtime work intentions (Study 2), and loss (vs. gain) framing algorithmic information increases people’s overtime work intentions (Study 3). The present findings reveal the suppression effect of perceived informational fairness on the negative relationship between algorithmic transparency and overtime work. Furthermore, these studies highlight the crucial role of properly disclosing algorithmic information in influencing gig workers’ overtime work intentions and hint the potential that algorithmic transparency might become a new means to manipulate gig workers.
Authors:
Yufei Jiang, Hangzhou City University, China
Zhen Huang, Hangzhou City University, China
Connect on ResearchGate
https://www.researchgate.net/profile/Yufei-Jiang-3
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