Overcoming Organizational Obstacles to Artificial Intelligence Value Creation: Propositions for Research
Overcoming Organizational Obstacles to Artificial Intelligence Value Creation: Propositions for Research
dc.contributor.author | Someh, Ida | |
dc.contributor.author | Wixom, Barbara | |
dc.contributor.author | Zutavern, Angela | |
dc.date.accessioned | 2020-01-04T08:23:25Z | |
dc.date.available | 2020-01-04T08:23:25Z | |
dc.date.issued | 2020-01-07 | |
dc.description.abstract | Artificial intelligence (AI) is the next technology revolution, and one which offers huge potential benefits for companies around the world. In fact, companies that learn how to use AI effectively will be positioned to maximize value creation using data in the emerging algorithmic economy. Uptake of AI has been limited, however, and there are mounting concerns associated with AI use. This paper explores what companies need to better understand about AI so they can make the most of this transformational technology. The paper develops a research framework and an associated research agenda intended to motivate practice-based research that will help organizations overcome obstacles for AI value creation. | |
dc.format.extent | 10 pages | |
dc.identifier.doi | 10.24251/HICSS.2020.712 | |
dc.identifier.isbn | 978-0-9981331-3-3 | |
dc.identifier.uri | http://hdl.handle.net/10125/64454 | |
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 | Practice-based IS Research | |
dc.subject | artificial intelligence | |
dc.subject | business value | |
dc.title | Overcoming Organizational Obstacles to Artificial Intelligence Value Creation: Propositions for Research | |
dc.type | Conference Paper | |
dc.type.dcmi | Text |
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