Assisting artificial intelligence adoption drivers in human resources management: a mediation model

IF 0.8 Q4 ENGINEERING, INDUSTRIAL Acta Logistica Pub Date : 2023-03-31 DOI:10.22306/al.v10i1.371
Eman AL Qahtani, M. Alsmairat
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引用次数: 4

Abstract

This study investigates the artificial intelligence (AI) adoption drivers and the mediating effects of trust and how the latter influence human resources management (HRM) of the banking sector in Saudi Arabia. A survey-based questionnaire was employed to collect data from 261 practitioners and professionals working in different banks in Saudi Arabia. Partial least squares structural equation modelling (PLS-SEM) was used to analyze data. Significant and positive effects of perceived usefulness and trust on artificial intelligence adoption in human resource management are highlighted by the results. In addition, the indirect effects of trust between perceived usefulness and AI adoption in human resource management were also found to be significant.
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协助人工智能在人力资源管理中的应用:一个中介模型
本研究调查了人工智能(AI)的采用驱动因素和信任的中介效应,以及信任如何影响沙特阿拉伯银行业的人力资源管理(HRM)。采用了一份基于调查的问卷,收集了在沙特阿拉伯不同银行工作的261名从业者和专业人士的数据。偏最小二乘结构方程模型(PLS-SEM)用于分析数据。研究结果强调了感知有用性和信任对人力资源管理中采用人工智能的重大积极影响。此外,在人力资源管理中,感知有用性和人工智能采用之间的信任间接影响也很显著。
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来源期刊
Acta Logistica
Acta Logistica Engineering-Industrial and Manufacturing Engineering
CiteScore
1.80
自引率
28.60%
发文量
36
审稿时长
4 weeks
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