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This quantitative cross-sectional correlational study involves understanding the impact of various factors on Artificial Intelligence (AI) adoption, implementation, and use in the small and medium enterprises (SME) sector in India. Increased AI use across industry sectors including SMEs makes it essential to analyze decisions involving AI adoption. The main research question and secondary research questions were used to help understand correlations between diffusion of innovation (DOI), the technology, organization, and environment (TOE) framework, and technology adoption model (TAM) and decisions involving AI adoption. I used prevalidated survey instruments and online surveys via the Survey Monkey platform as part of data collection using social media to solicit participation. The correlational analysis of survey data from 152 participants indicated that out of 10 selected constructs from DOI, TOE, and TAM theories. Nine constructs when analyzed individually, showed low to moderate positive statistically significant correlations with decisions involving AI adoption. Compatibility did not show any statistically significant correlation with decisions to adopt AI. Implications for positive social change include improved management support, enhanced IT sophistication, and better handling of mimetic and normative pressure for SME leaders in terms of effective AI adoption. This quantitative correlational cross-sectional study may improve SMEs’ ability to channel organizational resources to create the most desirable AI-related products and services through effective use of innovative technology.
Jadhav, Dipak Sadashiv, "Understanding Artificial Intelligence Adoption, Implementation, and Use in Small and Medium Enterprises in India" (2021). Walden Dissertations and Doctoral Studies. 10655.