Dwivedi, Yogesh K., Hughes, Laurie, Ismagilova, Elvira, Aarts, Gert, Coombs, Crispin, Crick, Tom, Duan, Yanqing, Dwivedi, Rohita, Edwards, John, Eirug, Aled, Galanos, Vassilis, Ilavarasan, Vigneswara, Janssen, Marijn, Jones, Paul, Kar, Arpan Kumar, Kizgin, Hatice, Kronemann, Bianca, Lal, Banita, Lucini, Biagio, Medaglia, Rony, Le Meunier-FitzHugh, Kenneth, Le Meunier-FitzHugh, Leslie Caroline, Misra, Santosh, Mogaji, Emmanuel ORCID: 0000-0003-0544-4842 , Sharma, Sujeet Kumar, Singh, Jang Bahadur, Raghavan, Vishnupriya, Raman, Ramakrishnan, Rana, Nripendra P, Samothrakis, Spyridon, Spencer, Jak, Tamilmani, Kuttimani, Tubadji, Annie, Walton, Paul and Williams, Michael D. (2019) Artificial intelligence (AI): multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research and practice. International Journal of Information Management, 57:101994. ISSN 0268-4012 (doi:https://doi.org/10.1016/j.ijinfomgt.2019.08.002)

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Abstract

As far back as the industrial revolution, great leaps in technical innovation succeeded in transforming numerous manual tasks and processes that had been in existence for decades where humans had reached the limits of physical capacity. Artificial Intelligence (AI) offers this same transformative potential for the augmentation and potential replacement of human tasks and activities within a wide range of industrial, intellectual and social applications. The pace of change for this new AI technological age is staggering, with new breakthroughs in algorithmic machine learning and autonomous decision making engendering new opportunities for continued innovation. The impact of AI is significant, with industries ranging from: finance, retail, healthcare, manufacturing, supply chain and logistics all set to be disrupted by the onset of AI technologies. The study brings together the collective insight from a number of leading expert contributors to highlight the significant opportunities, challenges and potential research agenda posed by the rapid emergence of AI within a number of domains: technological, business and management, science and technology, government and public sector. The research offers significant and timely insight to AI technology and its impact on the future of industry and society in general.

Item Type:	Article
Uncontrolled Keywords:	artificial intelligence, AI, cognitive computing, expert systems, machine learning, research agenda
Subjects:	H Social Sciences > H Social Sciences (General)
Faculty / School / Research Centre / Research Group:	Faculty of Business Faculty of Business > Department of Marketing, Events & Tourism
Last Modified:	31 Aug 2021 13:45
URI:	http://gala.gre.ac.uk/id/eprint/26180

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