Re-thinking the Competitive Landscape of Artificial Intelligence
| dc.contributor.author | Alsheibani, Sulaiman | |
| dc.contributor.author | Messom, Chris | |
| dc.contributor.author | Cheung , Yen | |
| dc.date.accessioned | 2020-01-04T08:24:03Z | |
| dc.date.available | 2020-01-04T08:24:03Z | |
| dc.date.issued | 2020-01-07 | |
| dc.description.abstract | 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. | |
| dc.format.extent | 10 pages | |
| dc.identifier.doi | 10.24251/HICSS.2020.718 | |
| dc.identifier.isbn | 978-0-9981331-3-3 | |
| dc.identifier.uri | http://hdl.handle.net/10125/64460 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Proceedings of the 53rd Hawaii International Conference on System Sciences | |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject | Promises and Perils of Artificial Intelligence and Machine Learning: Disruption, Adoption, Dehumanisation, Governance, Risk and Compliance | |
| dc.subject | adoption | |
| dc.subject | al adoption organizations | |
| dc.subject | artificial intelligence | |
| dc.title | Re-thinking the Competitive Landscape of Artificial Intelligence | |
| dc.type | Conference Paper | |
| dc.type.dcmi | Text |
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