Re-thinking the Competitive Landscape of Artificial Intelligence
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2020-01-07
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In recent years, Artificial Intelligence (AI) has emerged from its traditional domain of computer science research to be a management reality. This can be seen in the remarkable increase in the adoption of AI technology in organisations resulting in increased revenue, reduced costs and improved business efficiency [19]. Despite this trend, there are still many organisations that are facing the decision whether to adopt AI. Thus, to evaluate the adoption of AI at organizational-level we draw on two-grounded theories: Technology-Organisations-Environment (TOE) framework and Diffusion of Innovation theory (DOI) to identify factors that influence the adoption of AI. Survey data collected from 208 large, medium-sized and small organisations in Australia is used to test the proposed framework. We offer a method of how examining AI over a set of organizations. Besides offering a number of important recommendations for AI adoption future directions for research in this area are also included in this paper.
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Promises and Perils of Artificial Intelligence and Machine Learning: Disruption, Adoption, Dehumanisation, Governance, Risk and Compliance, adoption, al adoption organizations, artificial intelligence
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10 pages
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Proceedings of the 53rd Hawaii International Conference on System Sciences
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Attribution-NonCommercial-NoDerivatives 4.0 International
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