Success Factors Affecting the Adoption of Artificial Intelligence and the Impacts of on Organizational Excellence: A Case to be Studied in the MENA Region, and Turkey in Particular


International Conference on Business and Technology (ICBT), İstanbul, Turkey, 6 - 07 November 2021, vol.485, pp.3-16 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 485
  • Doi Number: 10.1007/978-3-031-08093-7_1
  • City: İstanbul
  • Country: Turkey
  • Page Numbers: pp.3-16
  • Keywords: Artificial intelligence, Adoption of AI, Organizational excellence, INNOVATION CHARACTERISTICS, ATTRIBUTES
  • Middle East Technical University Affiliated: No


AI adoption behavior requires firms' preparedness, zeal, and high management support. Adoption is depicted by technology as an affected notion by the technologies internal and external gathering to the corporation in addition to their realized utility, organizational and technical harmony, and learning curve, pilot test experimentation, and intelligibility/illusion (Awa and Ojiabo 2016). The research provides supplementary comprehension image regarding adoption success agent, the anticipating defiances; the effect on organizational excellence and post-adoption benefits. The study utilizes the descriptive analytical tactic and data collection resources of both primary and secondary resources. Primary resources used mixed data collection instruments of both questionnaires and interviews. Secondary sources included literature review from pertinent previous studies, research papers, periodicals, books and references. The research sample draws from Turkish private business sector firms in health care, education, marketing and advertising organizations, services outlets, financial organizations, general trading & commerce institutions and telecommunications firms. In order to analyze the data, structural equation modeling was implemented. Total of (11) agents were suggested to critically influence AI adoption. The outcomes exhibit that three agents, namely correspondence, executive support, and observability, directly influence AI adoption. Organization's technical capacity and perceived relative advantage impact compatibility, but they are indirectly related toAI adoption. Competitive pressure impacts relative advantage of Artificial Intelligence technologies, yet it is relevant to the adoption of Artificial Intelligence indirectly. However, the experimental impacts in this study imply that trialability factor is not linked to AI adoption. It should be noticeable that this factor, in other situations, might still exert influence.