Artificial Intelligence and Business Strategy towards Digital Transformation: A Research Agenda
Fotis Kitsios,Maria Kamariotou +1 more
TL;DR: A systematic literature review analyzing convergence of the AI and corporate strategy and a theoretical model incorporating issues based on the existing research in this field are implemented, discussing the four sources of value creation.
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Abstract: In the past decade, current literature and businesses have drawn attention to Artificial Intelligence (AI) tools and in particular to the advances in machine learning techniques. Nevertheless, while the AI technology offers great potential to solve difficulties, challenges remain implicated in practical implementation and lack of expertise in the strategic usage of AI to create business value. This paper aims to implement a systematic literature review analyzing convergence of the AI and corporate strategy and develop a theoretical model incorporating issues based on the existing research in this field. Eighty-one peer-reviewed articles were discussed on the basis of research methodology from Webster and Watson (2002). In addition to gaps in future research, a theoretical model is developed, discussing the four sources of value creation: AI and Machine Learning in organizations; alignment of AI tools and Information Technology (IT) with organizational strategy; AI, knowledge management and decision-making process; and AI, service innovation and value. These outcomes lead to both theoretical and managerial viewpoints, with extensive possibilities to generate new methods and types of management practices.
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Jane Webster,Richard T. Watson +1 more
TL;DR: A review of prior, relevant literature is an essential feature of any academic project that facilitates theory development, closes areas where a plethora of research exists, and uncovers areas where research is needed.
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Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda
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