scholarly journals My way or the highway: Narcissism and dysfunctional team conflict processes

2021 ◽  
pp. 136843022110019
Author(s):  
Jennifer Lynch ◽  
Alexander McGregor ◽  
Alex J. Benson

Individuals higher in grandiose narcissism strive to create and maintain their inflated self-views through self-aggrandizing and other-derogating behaviors. Drawing from the dual-process model of narcissistic admiration and rivalry, we proposed that individuals higher in narcissism may contribute to more competitive and less cooperative conflict processes. We tracked over 100 project design teams from inception to dissolution, gathering data at three time points. We evaluated how team levels of narcissism (i.e., maximum team score, team mean, and team variance) related to latent team means of cooperative and competitive conflict processes. Team mean scores of narcissistic rivalry corresponded to less cooperative and more competitive team conflict processes as teams approached their final project deadline. Our results show how narcissistic rivalry (but not admiration) alters the types of team conflict processes that arise within groups, and is particularly consequential as teams approach major project deadlines.

SPIEL ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 121-145
Author(s):  
Larissa Leonhard ◽  
Anne Bartsch ◽  
Frank M. Schneider

This article presents an extended dual-process model of entertainment effects on political information processing and engagement. We suggest that entertainment consumption can either be driven by hedonic, escapist motivations that are associated with a superficial mode of information processing, or by eudaimonic, truth-seeking motivations that prompt more elaborate forms of information processing. This framework offers substantial extensions to existing dual-process models of entertainment by conceptualizing the effects of entertainment on active and reflective forms of information seeking, knowledge acquisition and political participation.


2021 ◽  
pp. 016555152098549
Author(s):  
Donghee Shin

The recent proliferation of artificial intelligence (AI) gives rise to questions on how users interact with AI services and how algorithms embody the values of users. Despite the surging popularity of AI, how users evaluate algorithms, how people perceive algorithmic decisions, and how they relate to algorithmic functions remain largely unexplored. Invoking the idea of embodied cognition, we characterize core constructs of algorithms that drive the value of embodiment and conceptualizes these factors in reference to trust by examining how they influence the user experience of personalized recommendation algorithms. The findings elucidate the embodied cognitive processes involved in reasoning algorithmic characteristics – fairness, accountability, transparency, and explainability – with regard to their fundamental linkages with trust and ensuing behaviors. Users use a dual-process model, whereby a sense of trust built on a combination of normative values and performance-related qualities of algorithms. Embodied algorithmic characteristics are significantly linked to trust and performance expectancy. Heuristic and systematic processes through embodied cognition provide a concise guide to its conceptualization of AI experiences and interaction. The identified user cognitive processes provide information on a user’s cognitive functioning and patterns of behavior as well as a basis for subsequent metacognitive processes.


2015 ◽  
Vol 55 ◽  
pp. 75-83 ◽  
Author(s):  
David S. Chun ◽  
Phillip R. Shaver ◽  
Omri Gillath ◽  
Andrew Mathews ◽  
Terrence D. Jorgensen

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