Artificial intelligence for decision making in the era of Big Data – evolution,challenges and research agenda |
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| Institution: | 1. College of Management and Economics, Tianjin University, Tianjin, PR China;2. School of Management and Economics, Beijing Institute of Technology, Beijing, PR China;3. Andalusian Research Institute on Data Science and Computational Intelligence (DaSCI), University of Granada, Spain;4. School of Computer Science, University of Bristol, Bristol, United Kingdom;5. The Alan Turing Institute, London, United Kingdom;6. School of Public Affairs, Chongqing University, Chongqing, PR China;7. Business School. Sichuan University. Chengdu, PR China;8. Department of Electrical and Computer Engineering, Faculty of Engineering. King Abdulaziz University, Jeddah, Saudi Arabia;9. Faculty of Computing and Information Technology. King Abdulaziz University, Jeddah, Saudi Arabia;1. Curtin University Sustainability Policy Institute, Curtin University, Perth, Australia;2. Department of Physics, Faculty of Science, University of Mauritius, Reduit, Mauritius;1. Centre for Business in Society, Faculty of Business and Law, Coventry University, Priory Street, Coventry CV1 5FB, United Kingdom of Great Britain and Northern Ireland;2. Faculty of Business and Law, The Open University, Walton Hall, Kents Hill, Milton Keynes MK7 6A, United Kingdom of Great Britain and Northern Ireland;3. College of Business, Arts and Social Sciences, Brunel University, Kingston Ln, London, Uxbridge UB8 3PH, United Kingdom of Great Britain and Northern Ireland |
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| Abstract: | Artificial intelligence (AI) has been in existence for over six decades and has experienced AI winters and springs. The rise of super computing power and Big Data technologies appear to have empowered AI in recent years. The new generation of AI is rapidly expanding and has again become an attractive topic for research. This paper aims to identify the challenges associated with the use and impact of revitalised AI based systems for decision making and offer a set of research propositions for information systems (IS) researchers. The paper first provides a view of the history of AI through the relevant papers published in the International Journal of Information Management (IJIM). It then discusses AI for decision making in general and the specific issues regarding the interaction and integration of AI to support or replace human decision makers in particular. To advance research on the use of AI for decision making in the era of Big Data, the paper offers twelve research propositions for IS researchers in terms of conceptual and theoretical development, AI technology-human interaction, and AI implementation. |
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| Keywords: | Artificial intelligence AI Big data Cognitive computing Decision making Expert system Machine learning Recommender system Research agenda |
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