Organizational Behavior: Research Area — Prolific Citations Library

Discover 6 peer-reviewed studies in Organizational Behavior (2024–2025). Explore research findings powered by Prolific's diverse participant panel.

This page lists 6 peer-reviewed papers in the research area of Organizational Behavior in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (6 of 6)

AI assessment changes human behavior

Authors: J Goergen, E de Bellis, AK Klesse

Year: 2025

Published in: ... of the National Academy of Sciences, 2025 - pnas.org

Institution: Cologne Business School, Maastricht University School of Business and Economics, Tilburg University, Copenhagen Business School

Research Area: Psychology of AI and Organizational Behavior

Discipline: Organizational Behavior, Psychology of AI

AI assessments lead people to emphasize analytical characteristics in their self-presentation, which could change hiring outcomes and compromise assessment validity.

Methods: Examined behaviors in candidate selection contexts to assess how people adapt their self-presentation under AI evaluation.

Key Findings: Changes in self-presentation and perceived traits emphasized during AI assessments compared to traditional evaluations.

Citations: 4
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
Employees adhere more to unethical instructions from human than AI supervisors: Complementing experimental evidence with machine learning

Authors: L Lanz, R Briker, FH Gerpott

Year: 2024

Published in: Journal of Business Ethics, 2024 - Springer

Institution: University of Lausanne, University of Neuchâtel, University of Bern

Research Area: AI Ethics, Organizational Behavior, Supervisory Influence in the Workplace

Discipline: Business Ethics, Organizational Behavior, Artificial Intelligence Ethics

Employees are less likely to adhere to unethical instructions from AI supervisors compared to human supervisors, partly due to perceived differences in 'mind' and individual characteristics like compliance tendency and age.

Methods: The study employed four experiments using causal forest and transformer-based machine learning algorithms, as well as pre-registered experimental manipulations to evaluate employee behavior towards unethical instructions from AI and human supervisors.

Key Findings: Adherence to unethical instructions from AI versus human supervisors; mediating role of perceived mind and moderating factors like compliance tendency and age.

DOI: https://doi.org/10.1007/s10551-023-05393-1

Citations: 72

Sample Size: 1701
The ethical, societal, and global implications of crowdsourcing research

Authors: S Du, MT Babalola, P D'cruz, E Dóci

Year: 2024

Published in: Journal of Business ..., 2024 - Springer

Institution: Nottingham University Business School, University of Reading, Oxford Brookes University, University of Portsmouth

Research Area: Crowdsourcing Ethics, Social Sciences, Organizational Behavior

Discipline: Social Science

The paper explores the ethical, societal, and global implications of using crowdsourcing platforms for research, emphasizing the need for fair compensation, transparency, and consideration of global disparities between the Global North and South.

Methods: The paper provides a conceptual analysis and critique of crowdsourcing research practices, focusing on ethical and societal considerations.

Key Findings: Ethical, societal, and global implications of crowdsourcing research practices, including data quality, reporting transparency, fair remuneration, and the role of global disparities.

Citations: 24
Do algorithms play fair? Analysing the perceived fairness of HR-decisions made by algorithms and their impacts on gig-workers

Authors: N Jabagi, AM Croteau, LK Audebrand

Year: 2024

Published in: ... International Journal of ..., 2025 - Taylor & Francis

Institution: Concordia University, John Molson School of Business

Research Area: Organizational Behavior, Human Resources, Algorithmic Fairness in the Gig Economy

Discipline: Organizational Behavior, Human Resources

DOI: https://www.tandfonline.com/doi/abs/10.1080/09585192.2024.2441448#

Citations: 12
A chorus of different tongues: Official corporate language fluency and informal influence in multinational teams

Authors: F Guzman, B Reiche

Year: 2024

Published in: Science Direct

Institution: IESE Business School, Lille Économie Management

Research Area: Organizational Behavior, Language and Communication in Multinational Teams, Informal Influence, Peer-Granted Status.

Discipline: Behavioral Sciences, Business, Economics, Organisational Psychology, Psychology