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Paper Type
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Abstract
Organizations invest in Artificial Intelligence (AI) to increase revenue, reduce costs, improve business efficiency, and gain a competitive advantage. However, the strategic benefits of its implementation remain obscure, and the current literature lacks solid recommendations for business leaders and managers. This paper aims to investigate the challenges business leaders face with AI implementations. We synthesize findings from a comprehensive analysis of the existing literature and undertake a content analysis of the top AI use cases across seven industries. Based on these findings, we propose a five-step method to develop organizational competencies to enable them to (re)think their current AI innovation strategy. Our research also aims to contribute to the body of knowledge on AI technology by providing recommendations to business leaders and practitioners who are faced with resolving the various challenges of AI.
Recommended Citation
Alsheibani, Sulaiman Abdallah; Messom, Dr. Chris; Cheung, Yen; and Alhosni, Mazoon, "Reimagining the Strategic Management of Artificial Intelligence: Five Recommendations for Business leaders" (2020). AMCIS 2020 Proceedings. 4.
https://aisel.aisnet.org/amcis2020/is_leadership/is_leadership/4
Reimagining the Strategic Management of Artificial Intelligence: Five Recommendations for Business leaders
Organizations invest in Artificial Intelligence (AI) to increase revenue, reduce costs, improve business efficiency, and gain a competitive advantage. However, the strategic benefits of its implementation remain obscure, and the current literature lacks solid recommendations for business leaders and managers. This paper aims to investigate the challenges business leaders face with AI implementations. We synthesize findings from a comprehensive analysis of the existing literature and undertake a content analysis of the top AI use cases across seven industries. Based on these findings, we propose a five-step method to develop organizational competencies to enable them to (re)think their current AI innovation strategy. Our research also aims to contribute to the body of knowledge on AI technology by providing recommendations to business leaders and practitioners who are faced with resolving the various challenges of AI.
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