TY  - JOUR
U1  - Wissenschaftlicher Artikel
A1  - Olan, Femi
A1  - Nyuur, Richard B.
A1  - Arakpogun, Emmanuel Ogiemwonyi
A1  - Elsahn, Ziad
T1  - AI: A knowledge sharing tool for improving employees’ performance
JF  - Journal of Decision Systems
N2  - The utilisation of artificial intelligence (AI) is progressively emerging as a significant mechanism for innovation in human resource management (HRM). The capacity to facilitate the transformation of employee performance across numerous responsibilities. AI development, there remains a dearth of comprehensive exploration into the potential opportunities it presents for enhancing workplace performance among employees. To bridge this gap in knowledge, the present work carried out a survey with 300 participants, utilises a fuzzy set-theoretic method that is grounded on the conceptualisation of AI, KS, and HRM. The findings of our study indicate that the exclusive adoption of AI technologies does not adequately enhance HRM engagements. In contrast, the integration of AI and KS offers a more viable HRM approach for achieving optimal performance in a dynamic digital society. This approach has the potential to enhance employees’ proficiency in executing their responsibilities and cultivate a culture of creativity inside the firm.
KW  - Artificial intelligence
KW  - Human Resource Management
KW  - knowledge sharing
Y1  - 2023
SN  - 1246-0125 (Print)
SS  - 1246-0125 (Print)
SN  - 2116-7052 (Online)
SS  - 2116-7052 (Online)
U6  - https://doi.org/10.1080/12460125.2023.2263687
DO  - https://doi.org/10.1080/12460125.2023.2263687
SP  - 1
EP  - 21
PB  - Taylor & Francis
ER  -