Table 1

GenAI and SME related studies

AuthorContextTheoryData collectionData analysisConstructs
Wang and Zhang (2025) GenAI and digital supply chains in tourism SMEsResource-Based View, Dynamic Capabilities TheorySurvey of 429 international SMEs in ChinaEmpirical analysis“GenAI (e.g. ChatGPT) innovation, collaboration, environmental, social, and governance performance, Customer involvement”
Shore et al. (2024) Use of Gen AI by SMEsOrganizational Information Processing Theory87 useable responses from SMs in FranceVariance-based Structural Equation Modeling (WarpPLS 7.0)“GenAI use, entrepreneurial orientation, entrepreneurial resilience, market turbulence”
Jalil et al. (2024) AI adoption intention and digital value creation for SMETechnology-Organization-EnvironmentSurvey of 335 SME owners in Malaysia (self-administered/online questionnaires)Structural Equation Modeling“Intention to adopt AI, technology orientation, digital value creation”
Almashawreh et al. (2024) Factors influencing AI adoption in SMETechnology–Organization–EnvironmentSurvey of 364 SME owner in JordanStructural Equation Modeling“AI adoption, employee IT knowledge, IT infrastructure, managerial commitment, training initiatives, reward systems”
Abrokwah-Larbi (2023) Use of Gen AI by SMEsDynamic Capabilities TheoryTheoretical study; Literature review-basedConceptual analysis; Research propositions“Customer personalization, generative artificial intelligence, deep learning, smart data, internet of things, interactive marketing, value co-creation, consumer loyalty”

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