Gruda, Dritjon and Karanatsiou, Dimitra and Hanges, Paul and Golbeck, Jennifer and Vakali, Athena (2023) Don’t Go Chasing Narcissists: A Relational-Based and Multiverse Perspective on Leader Narcissism and Follower Engagement Using a Machine Learning Approach. Personality and Social Psychology Bulletin, 49 (7). pp. 1130-1147. ISSN 0146-1672

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Abstract

Although research interest in leader narcissism has been on the rise over the past few years, prior literature has predominantly discussed leader narcissism from a leader-centric perspective. In this article, we provide a relational-based perspective of leader narcissism by examining the interaction between follower personality traits and leader narcissism on follower engagement in an online context. We combine a machine learning (ML) approach and multiverse analysis to predict the personality traits of a large sample of leaders and engaged followers across 18 created multiverses and analyze hypothesized interactions using multilevel regressions, also accounting for leader gender moderation effects. We find that the interaction between leader narcissism and follower agreeableness and follower neuroticism positively predicts follower engagement, whereas the interaction between leader narcissism and follower openness negatively predicts follower engagement. In addition, we find that leader gender plays an important moderating role. Limitations and implications are discussed.

Item Type:	Article
Keywords:	narcissism; leader; follower; personality; machine learning; multiverse analysis;
Academic Unit:	Faculty of Social Sciences > School of Business
Item ID:	17626
Identification Number:	https://doi.org/10.1177/01461672221094976
Depositing User:	Jon Gruda
Date Deposited:	02 Oct 2023 14:26
Journal or Publication Title:	Personality and Social Psychology Bulletin
Publisher:	Public Library of Science
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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