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AuthorAbdullah M., Baabdullah
AuthorAlalwan, Ali Abdallah
AuthorSlade, Emma Louise
AuthorRaman, Ramakrishnan
AuthorKhatatneh, Khalaf Fakhri
Available date2023-03-31T05:34:29Z
Publication Date2021-09-17
Publication NameIndustrial Marketing Management
Identifierhttp://dx.doi.org/10.1016/j.indmarman.2021.09.003
CitationBaabdullah, A. M., Alalwan, A. A., Slade, E. L., Raman, R., & Khatatneh, K. F. (2021). SMEs and artificial intelligence (AI): Antecedents and consequences of AI-based B2B practices. Industrial Marketing Management, 98, 255-270.
ISSN00198501
URIhttps://www.sciencedirect.com/science/article/pii/S0019850121001851
URIhttp://hdl.handle.net/10576/41556
AbstractDevelopment of small and medium enterprises (SMEs) is a key approach to achieving economic growth in the Middle East and successful adoption of technology is vital for SMEs' success and continuity. Artificial intelligence (AI) is part of a new generation of technologies that can facilitate competitive advantage but currently there is a lack of evidence regarding AI applications in relation to B2B SMEs in Middle East countries. Therefore, this study empirically examines antecedents to, and consequences of, successful acceptance of AI practices by B2B SMEs in Saudi Arabia. A conceptual model based on the technology-organisation-environment framework is developed which considers the impact of AI enablers and AI readiness on the acceptance of AI practices, and the impact of this on relational governance, performance, and SMEs' AI-based business customer interaction. The conceptual model was tested using structural equation modelling of survey data collected from B2B SMEs (n = 392). The results showed that, of the AI enablers, acceptance of AI practices was significantly influenced by both technology roadmapping and attitude but not professional expertise. Of the AI readiness variables, acceptance of AI practices was significantly influenced by infrastructure and awareness but not technicality. The acceptance of AI practices was found to significantly affect AI-enabled relational governance and performance, and SME's business customer AI-based interaction. This study provides a broader base for theoretical and practical understanding of issues related to AI practices in SMEs and the B2B sector in general.
Languageen
PublisherElsevier
SubjectAI
SMEs
B2B
AI enablers
AI readiness
Customer AI-based interaction
TitleSMEs and artificial intelligence (AI): Antecedents and consequences of AI-based B2B practices
TypeArticle
Pagination255-270
Volume Number98
ESSN1873-2062
dc.accessType Abstract Only


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