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Harnessing artificial intelligence for strategic decision-making: the catalyst impact of digital leadership

Mohammed Jaboob et al.

Asia-Pacific Journal of Business Administration2025https://doi.org/10.1108/apjba-12-2024-0706article
AJG 1ABDC B
Weight
0.56

Abstract

Purpose Artificial intelligence (AI) applications enable entrepreneurs in small and medium-sized enterprises (SMEs) to make strategic decisions based on more accurate predictions and modeling scenarios to achieve operational efficiency and profitability. This research aims to investigate the role of AI applications in enhancing strategic decision-making (SDM) through the mediating role of digital leadership (DL). Design/methodology/approach The sample included 306 Omani entrepreneurs from SMEs randomly sampled to collect data from different SME industrial incubators. To test hypotheses, structural equation modeling (SEM), regression and confirmatory factor analysis and Process V4 to test the mediating role of DL were used. Findings Results reveal that AI applications have a positive and significant impact on SDM and DL. Furthermore, DL has a positive and significant impact on SDM. The results also reveal that DL enhances the relationship between AI applications and SDM in Omani SMEs. Originality/value This research provides evidence regarding SMEs in the Arabian context and the ability of AI application adoption to improve productivity and sustainability in the economic sector.

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https://doi.org/https://doi.org/10.1108/apjba-12-2024-0706

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@article{mohammed2025,
  title        = {{Harnessing artificial intelligence for strategic decision-making: the catalyst impact of digital leadership}},
  author       = {Mohammed Jaboob et al.},
  journal      = {Asia-Pacific Journal of Business Administration},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1108/apjba-12-2024-0706},
}

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Harnessing artificial intelligence for strategic decision-making: the catalyst impact of digital leadership

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Evidence weight

0.56

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.55 × 0.4 = 0.22
M · momentum0.75 × 0.15 = 0.11
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.