posted on 2019-08-06, 12:42authored byYogesh K Dwivedi, Laurie Hughes, Elvira Ismagilova, Gert Aarts, Crispin CoombsCrispin Coombs, Tom Crick, Yanqing Duan, Rohita Dwivedi, John Edwards, Aled Eirug, Vassilis Galanos, P Vigneswara Ilavarasan, Marijn Janssen, Paul Jones, Arpan Kumar Kar, Hatice Kizgin, Bianca Kronemann, Banita Lal, Biagio Lucini, Rony Medaglia, Kenneth Le Meunier-FitzHugh, Leslie Caroline Le Meunier-FitzHugh, Santosh Misra, Emmanuel Mogaji, Sujeet Kumar Sharma, Jang Bahadur Singh, Vishnupriya Raghavan, Ramakrishnan Raman, Nripendra P Rana, Spyridon Samothrakis, Jak Spencer, Kuttimani Tamilmani, Annie Tubadji, Paul Walton, Michael D Williams
As far back as the industrial revolution, significant development in technical innovation has 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 could be significant, with industries ranging from: finance, healthcare, manufacturing, retail, supply
chain, logistics and utilities, all potentially 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, realistic assessment of impact, challenges and potential research agenda posed by the
rapid emergence of AI within a number of domains: business and management, government, public
sector, and science and technology. This research offers significant and timely insight to AI technology
and its impact on the future of industry and society in general, whilst recognising the societal and
industrial influence on pace and direction of AI development.
This paper was accepted for publication in the journal International Journal of Information Management and the definitive published version is available at https://doi.org/10.1016/j.ijinfomgt.2019.08.002.