Organizational Science: Research Area — Prolific Citations Library

Discover 2 peer-reviewed studies in Organizational Science (2025). Explore research findings powered by Prolific's diverse participant panel.

This page lists 2 peer-reviewed papers in the research area of Organizational Science in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (2 of 2)

"Optimal" Feedback Use in Crowdsourcing Contests: Source Effect and Priming Intervention

Authors: TK Koh

Year: 2025

Published in: Organization Science, 2025 - pubsonline.informs.org

Institution: University of North Carolina Chapel Hill

Research Area: Crowdsourcing Contests, Feedback Use, Priming Intervention, Organizational Science

Discipline: Behavioral Sciences

The paper examines how solvers in crowdsourcing contests prioritize feedback from seekers over peers, even when equally constructive, and proposes an intervention to improve feedback usage for better outcomes.

Methods: The study involved a field survey and three online experiments to test the theorized source effect and the proposed feedback evaluation intervention.

Key Findings: Solvers' feedback usage patterns, the source effect of feedback (seeker vs. peer), and the influence of feedback constructiveness on idea quality and solvers’ winning prospects.

Citations: 5
Algorithmic surveillance and workers' compliance: The role of trust, privacy concerns, and fairness in online crowdwork

Authors: W van Zoonen, ME von Bonsdorff

Year: 2025

Published in: human ..., 2025 - journals.sagepub.com

Institution: Wageningen University & Research, University of Twente

Research Area: Organizational Behavior, Human Resources, or Social Science focusing on Technology and Ethics in the Workplace.

Discipline: Social Science

The study shows that algorithmic surveillance undermines trust and fairness, while increasing privacy concerns among crowdworkers, influencing their compliance, alteration, or resistance behaviors, with decontextualization intensifying these dynamics.

Methods: Three-wave survey data analysis of European online crowdworkers, analyzed through socio-technical systems theory and micro-level legitimacy frameworks.

Key Findings: The effects of algorithmic surveillance on trust, privacy concerns, fairness, and workers' compliance, alteration, or resistance, with a focus on the moderating role of perceived decontextualization.

Sample Size: 435