Artificial intelligence adoption: AI-readiness at firm-level

Sulaiman Alsheibani, Yen Cheung, Chris Messom

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

Abstract

The emergence and growing interest in Artificial Intelligence (AI) will have increasing societal implications influencing, the
responsibilities of decision-makers and policy analysts. Although an extensive body of literature relating to AI techniques already exists, this is not the case for AI adoption in organisations. This research-in-progress seeks to propose a research framework for AI adoption at firm level. To do so, two popular theories are considered: The Technology- Organisations-Environment (TOE) framework, and Diffusion of Innovation theory (DOI). This paper presents an in-depth interpretation of these theories for the adoption of AI technologies and proposes an AI adoption framework at firm level. A mixed methods research approach is proposed to test and validate the framework. Further work in this project will involve developing the research instrument for data collection via a survey targeted at firms.
Original languageEnglish
Title of host publicationProceedings of PACIS2018
Subtitle of host publicationPacific Asia Conference in Information Systems (PACIS)
EditorsMotonari Tanabu, Dai Senoo
Place of PublicationIL USA
PublisherAssociation for Information Systems
Number of pages8
ISBN (Electronic)9784902590838
Publication statusPublished - 2018
EventPacific Asia Conference on Information Systems 2018 - Yokohama, Japan
Duration: 26 Jun 201830 Jun 2018
Conference number: 22nd
http://pacis2018.org/

Conference

ConferencePacific Asia Conference on Information Systems 2018
Abbreviated titlePACIS 2018
CountryJapan
CityYokohama
Period26/06/1830/06/18
Internet address

Keywords

  • Artificial Intelligence
  • AI readiness
  • TOE
  • DOI
  • adoption

Cite this

Alsheibani, S., Cheung, Y., & Messom, C. (2018). Artificial intelligence adoption: AI-readiness at firm-level. In M. Tanabu, & D. Senoo (Eds.), Proceedings of PACIS2018 : Pacific Asia Conference in Information Systems (PACIS) [37] Association for Information Systems. https://aisel.aisnet.org/pacis2018/37/