Algorithm Management And Unsafety Behavior Of Gig Workers - Info and Reading Options
By Yanghao Zhu
“Algorithm Management And Unsafety Behavior Of Gig Workers” Metadata:
- Title: ➤ Algorithm Management And Unsafety Behavior Of Gig Workers
- Author: Yanghao Zhu
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- Internet Archive ID: osf-registrations-bs3ud-v1
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The Internet Archive:
Purpose: This research aims to explore the impact of algorithmic management on gig workers’ unsafe behaviors, focusing on how algorithmic goal setting and algorithmic monitoring contribute to performance-safety goal conflict and, consequently, unsafe work behaviors. Study Design: Study 1: A 2×2 Between-Subjects Experiment. This experiment involves a 2×2 factorial design manipulating algorithmic goal setting (high vs. low) and algorithmic monitoring (high vs. low). Participants will imagine scenarios depicting their role as gig workers under varying algorithmic management conditions. After reading the scenario, they will report their perceived performance-safety goal conflict. This study aims to establish the main effects of algorithmic goal setting on goal conflict and assess how algorithmic monitoring intensifies or moderates this relationship. Study 2: A 1×2 Between-Subjects Experiment. In this experiment, performance-safety goal conflict will be manipulated (high vs. low) to evaluate its direct influence on unsafe behavioral intentions. Additionally, moral identity will be measured as an individual difference variable to assess its moderating role in mitigating the relationship between goal conflict and unsafe behavioral intentions. Participants will report their moral identity and indicate their willingness to engage in unsafe behaviors under the given conflict conditions. Expected Outcomes: It is anticipated that high algorithmic goal setting will significantly increase performance-safety goal conflict, which will be further exacerbated by strong algorithmic monitoring. High performance-safety goal conflict can increase participant unsafety behavior intention. Moral identification is expected to weaken the positive relationship between goal conflict and unsafe behavior, as higher moral identity encourages greater prioritization of safety goals.
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"Algorithm Management And Unsafety Behavior Of Gig Workers" is available for download from The Internet Archive in "data" format, the size of the file-s is: 0.07 Mbs, and the file-s went public at Wed Apr 09 2025.
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- Number of Files: 5
- Number of Available Files: 5
- Added Date: 2025-04-09 12:18:03
- Scanner: Internet Archive Python library 1.9.9
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