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dc.contributor.authorCao, Guangming
dc.contributor.authorDuan, Yanqing
dc.contributor.authorEdwards, John S.
dc.contributor.authorDwivedi, Yogesh Kumar
dc.date.accessioned2021-06-09T08:00:08Z
dc.date.available2021-06-09T00:00:00Z
dc.date.available2021-06-09T08:00:08Z
dc.date.issued2021-06-08
dc.identifier.citationCao G, Duan Y, Edwards JS, Dwivedi YK (2021) 'Understanding managers’ attitudes and behavioral intentions towards using artificial intelligence for organizational decision-making', Technovation, 106 (102312)en_US
dc.identifier.issn0166-4972
dc.identifier.doi10.1016/j.technovation.2021.102312
dc.identifier.urihttp://hdl.handle.net/10547/625000
dc.description.abstractWhile using artificial intelligence (AI) could improve organizational decision-making, it also creates challenges associated with the “dark side” of AI. However, there is a lack of research on managers’ attitudes and intentions to use AI for decision making. To address this gap, we develop an integrated AI acceptance-avoidance model (IAAAM) to consider both the positive and negative factors that collectively influence managers’ attitudes and behavioral intentions towards using AI. The research model is tested through a large-scale questionnaire survey of 269 UK business managers. Our findings suggest that IAAAM provides a more comprehensive model for explaining and predicting managers’ attitudes and behavioral intentions towards using AI. Our research contributes conceptually and empirically to the emerging literature on using AI for organizational decision-making. Further, regarding the practical implications of using AI for organizational decision-making, we highlight the importance of developing favorable facilitating conditions, having an effective mechanism to alleviate managers’ personal concerns, and having a balanced consideration of both the benefits and the dark side associated with using AI.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.urlhttps://www.sciencedirect.com/science/article/pii/S0166497221000936en_US
dc.rightsGreen - can archive pre-print and post-print or publisher's version/PDF
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectartificial intelligenceen_US
dc.subjectAI (Artificial Intelligence)en_US
dc.subjectdecision makingen_US
dc.subjectSubject Categories::G700 Artificial Intelligenceen_US
dc.titleUnderstanding managers’ attitudes and behavioral intentions towards using artificial intelligence for organizational decision-makingen_US
dc.typeArticleen_US
dc.contributor.departmentAjman Universityen_US
dc.contributor.departmentUniversity of Bedfordshireen_US
dc.contributor.departmentAston Universityen_US
dc.contributor.departmentSwansea Universityen_US
dc.identifier.journalTechnovationen_US
dc.date.updated2021-06-09T07:55:58Z
dc.description.notegold oa


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