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

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 profe...

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Bibliographic Details
Published inActa logistica Vol. 10; no. 1; pp. 141 - 150
Main Authors AL Qahtani, Eman, Alsmairat, Mohammad
Format Journal Article
LanguageEnglish
Published Semsa 4S go, s.r.o 01.03.2023
Subjects
Algorithms
Artificial intelligence
Banking industry
Big Data
Competitive advantage
Data collection
Employees
Human resource management
Infrastructure
Knowledge management
Machine learning
Multivariate statistical analysis
Performance management
Productivity
Software
User behavior
Wages & salaries
Saudi Arabia
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Summary: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.
ISSN:1339-5629
1339-5629
DOI:10.22306/al.v10i1.371