Factors inhibiting the adoption of artificial intelligence at organizational-level: a preliminary investigation

Sulaiman Alsheiabni, Yen Cheung, Chris Messom

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Abstract

Artificial intelligence has emerged as a research field. Recently, there has been a remarkable increase in the adoption of AI technology in organizations as new forms of work have increased substantially. Despite the envisaged benefits of AI adoption, many organizations still struggle to drive their AI adoption forward. This study leads to the closing of this gap by conducting a thorough analysis of the current state of AI adoption and the main barriers to AI adoption among Australian organizations. To do so, we draw on The Technology-Organizations-Environment (TOE) framework to categorize the factors inhibiting AI adoption at organization-level. This paper reports on the results of an online questionnaire involving 207 small, medium and large-sized organizations about their level of AI adoption and barriers. The study offers insights and a research agenda to help executives and top-level managers prepare for AI adoption, and to make informed decisions to speed up the adoption process.

Original languageEnglish
Title of host publicationAMCIS 2019 Proceedings
EditorsMartin Santana, Ramiro Montealegre
Place of PublicationAtlanta GA USA
PublisherAssociation for Information Systems
Number of pages10
ISBN (Electronic)9780996683180
Publication statusPublished - 2019
EventAmericas Conference on Information Systems 2019 - Cancun, Mexico
Duration: 15 Aug 201917 Aug 2019
Conference number: 25th
https://amcis2019.aisconferences.org/

Conference

ConferenceAmericas Conference on Information Systems 2019
Abbreviated titleAMCIS 2019
CountryMexico
CityCancun
Period15/08/1917/08/19
Internet address

Keywords

  • AI barries
  • Artificial intelligence
  • IS adoption
  • TOE framework

Cite this

Alsheiabni, S., Cheung, Y., & Messom, C. (2019). Factors inhibiting the adoption of artificial intelligence at organizational-level: a preliminary investigation. In M. Santana, & R. Montealegre (Eds.), AMCIS 2019 Proceedings Atlanta GA USA: Association for Information Systems.
Alsheiabni, Sulaiman ; Cheung, Yen ; Messom, Chris. / Factors inhibiting the adoption of artificial intelligence at organizational-level : a preliminary investigation. AMCIS 2019 Proceedings. editor / Martin Santana ; Ramiro Montealegre. Atlanta GA USA : Association for Information Systems, 2019.
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Alsheiabni, S, Cheung, Y & Messom, C 2019, Factors inhibiting the adoption of artificial intelligence at organizational-level: a preliminary investigation. in M Santana & R Montealegre (eds), AMCIS 2019 Proceedings. Association for Information Systems, Atlanta GA USA, Americas Conference on Information Systems 2019, Cancun, Mexico, 15/08/19.

Factors inhibiting the adoption of artificial intelligence at organizational-level : a preliminary investigation. / Alsheiabni, Sulaiman; Cheung, Yen; Messom, Chris.

AMCIS 2019 Proceedings. ed. / Martin Santana; Ramiro Montealegre. Atlanta GA USA : Association for Information Systems, 2019.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

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AB - Artificial intelligence has emerged as a research field. Recently, there has been a remarkable increase in the adoption of AI technology in organizations as new forms of work have increased substantially. Despite the envisaged benefits of AI adoption, many organizations still struggle to drive their AI adoption forward. This study leads to the closing of this gap by conducting a thorough analysis of the current state of AI adoption and the main barriers to AI adoption among Australian organizations. To do so, we draw on The Technology-Organizations-Environment (TOE) framework to categorize the factors inhibiting AI adoption at organization-level. This paper reports on the results of an online questionnaire involving 207 small, medium and large-sized organizations about their level of AI adoption and barriers. The study offers insights and a research agenda to help executives and top-level managers prepare for AI adoption, and to make informed decisions to speed up the adoption process.

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Alsheiabni S, Cheung Y, Messom C. Factors inhibiting the adoption of artificial intelligence at organizational-level: a preliminary investigation. In Santana M, Montealegre R, editors, AMCIS 2019 Proceedings. Atlanta GA USA: Association for Information Systems. 2019