Organizational Behavior: Academic Discipline — Prolific Citations Library

Explore 4 peer-reviewed papers in Organizational Behavior (2024–2026). Academic research using Prolific for high-quality human data collection.

This page lists 4 peer-reviewed papers in the discipline of Organizational Behavior in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (4 of 4)

How does leader secure-base support affect hospitality employees’ service performance? Role of work engagement and role stressors

Authors: H Zhu, J Chen, N Liu

Year: 2026

Published in: International Journal of Hospitality Management, 2026 - Elsevier

Institution: Sun Yat-Sen University

Research Area: Leadership studies, Organizational psychology, hospitality research, Attachment theory

Discipline: Organizational Behavior, Management

Leader secure-base support improves hospitality employees’ service performance by boosting work engagement, but this benefit is weakened when employees experience high role ambiguity or role conflict.
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
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
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