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Article
Publication date: 12 March 2024

Eleni Georganta and Anna-Sophie Ulfert

The purpose of this study was to investigate trust within human-AI teams. Trust is an essential mechanism for team success and effective human-AI collaboration.

Abstract

Purpose

The purpose of this study was to investigate trust within human-AI teams. Trust is an essential mechanism for team success and effective human-AI collaboration.

Design/methodology/approach

In an online experiment, the authors investigated whether trust perceptions and behaviours are different when introducing a new AI teammate than when introducing a new human teammate. A between-subjects design was used. A total of 127 subjects were presented with a hypothetical team scenario and randomly assigned to one of two conditions: new AI or new human teammate.

Findings

As expected, perceived trustworthiness of the new team member and affective interpersonal trust were lower for an AI teammate than for a human teammate. No differences were found in cognitive interpersonal trust and trust behaviours. The findings suggest that humans can rationally trust an AI teammate when its competence and reliability are presumed, but the emotional aspect seems to be more difficult to develop.

Originality/value

This study contributes to human–AI teamwork research by connecting trust research in human-only teams with trust insights in human–AI collaborations through an integration of the existing literature on teamwork and on trust in intelligent technologies with the first empirical findings on trust towards AI teammates.

Details

Team Performance Management: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1352-7592

Keywords

Article
Publication date: 21 August 2023

Kujtim Hameli and Bujamin Bela

This study aims to examine the relationship between high commitment human resource management (HCHRM) practices and employee well-being in the food service industry, with a focus…

Abstract

Purpose

This study aims to examine the relationship between high commitment human resource management (HCHRM) practices and employee well-being in the food service industry, with a focus on the mediating roles of job demands and psychological conditions.

Design/methodology/approach

A survey was conducted among 296 frontline employees in the food service industry, and the data were analyzed using structural equation modeling (SEM) in AMOS ver26.

Findings

The results showed that HCHRM practices do not directly affect employee well-being. However, psychological conditions play a crucial role in mediating the relationship between HCHRM practices and employee well-being. Specifically, the psychological conditions of meaningfulness and availability significantly predicted work engagement and mediated the relationship between HCHRM practices and employee well-being. On the other hand, job demands did not mediate the relationship between HCHRM practices and employee well-being.

Research limitations/implications

Although the study addressed common method variance, the cross-sectional nature of the data limits the ability to infer causal relationships among variables. Future studies could adopt a longitudinal research design to investigate the causal relationships among variables. In addition, the study recommends that managers in the food service industry adopt HCHRM practices and provide necessary psychological conditions to promote employee well-being.

Originality/value

This study extends the current literature on HCHRM and employee well-being in the food service industry by providing new insights into the mediating role of psychological conditions. The findings suggest that HCHRM practices can indirectly promote employee well-being through the enhancement of psychological conditions. These insights could help managers in the food service industry to design effective HRM strategies that foster employee well-being and reduce turnover.

Details

EuroMed Journal of Business, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1450-2194

Keywords

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