Understanding the Factors Influencing Self-Managed Enterprises of Crowdworkers: A Comprehensive Review

March 19, 2024 ยท The Cartographer ยท ๐Ÿ› International Conference on Enterprise Information Systems

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
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"Title-pattern auto-detect: Understanding the Factors Influencing Self-Managed Enterprises of Crowdworkers: A Comprehensive Revi"

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Authors Alexandre Prestes Uchoa, Daniel Schneider arXiv ID 2403.12769 Category cs.HC: Human-Computer Interaction Cross-listed cs.CY Citations 0 Venue International Conference on Enterprise Information Systems Last Checked 4 days ago
Abstract
This paper investigates the shift in crowdsourcing towards self-managed enterprises of crowdworkers (SMECs), diverging from traditional platform-controlled models. It reviews the literature to understand the foundational aspects of this shift, focusing on identifying key factors that may explain the rise of SMECs, particularly concerning power dynamics and tensions between Online Labor Platforms (OLPs) and crowdworkers. The study aims to guide future research and inform policy and platform development, emphasizing the importance of fair labor practices in this evolving landscape.
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