Critical Success Factors in a Multi-Stage Adoption of Artificial Intelligence: A Necessary Condition Analysis

49 Pages Posted: 30 Sep 2022

See all articles by Sam Solaimani

Sam Solaimani

Nyenrode Business University

Lucas Swaak

Nyenrode Business University

Abstract

Notwithstanding the widespread publicity, Artificial Intelligence (AI) adoption has remained relatively limited. One important reason is a lack of insight into critical factors in the adoption process. This study reviews the literature on AI and several similar technologies to identify success factors and employs Necessary Condition Analysis (NCA) to empirically assess the criticality of the identified factors across various stages of adoption. The findings evidence the necessity of performance expectancy, top management support, technical competencies and resources, perceived ease of use, organizational compatibility, and trading partner leverage with varying levels of criticality across various stages of AI adoption.

Keywords: Artificial Intelligence, Technology Adoption, Critical Success Factors, Necessary Condition Analysis

Suggested Citation

Solaimani, Sam and Swaak, Lucas, Critical Success Factors in a Multi-Stage Adoption of Artificial Intelligence: A Necessary Condition Analysis. Available at SSRN: https://ssrn.com/abstract=4234144 or http://dx.doi.org/10.2139/ssrn.4234144

Sam Solaimani (Contact Author)

Nyenrode Business University ( email )

Straatweg 25
P.O. Box 130
Breukelen, 3620 AC
Netherlands

Lucas Swaak

Nyenrode Business University ( email )

Straatweg 25
P.O. Box 130
Breukelen, 3620 AC
Netherlands

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