Generational cohort and technology readiness and acceptance of artificial intelligence among young high-growth entrepreneurs

Donard Games, Eryadi Masli, Dessy Sari, Laura Triani and Sanda Komalasari

Digital Transformation and Society, 2025, vol. 5, issue 1, 5-25

Abstract: PurposeThis study examines the relationship between technology readiness and acceptance of artificial intelligence (AI) among young, high-growth small business owners in Indonesia as an emerging market and developing economy.Design/methodology/approachA quantitative research approach was employed, using data from 278 respondents comprising millennials and Generation Z. The data were analyzed using SmartPLS through the lenses of the technology readiness and acceptance model and generational cohort theory.FindingsThe findings indicate that technology readiness and acceptance are important predictors of the ability and willingness to adopt new technologies. Both millennials and Generation Z show shared behavioral patterns in their responses to AI, which offers insights into technology adoption and societal change within emerging economies. These generational commonalities highlight the potential of young entrepreneurs as drivers of innovation and growth.Originality/valueThis study integrates the technology readiness and acceptance model with generational cohort theory to assess the preparedness of small business owners for adopting new technologies. It further examines how social transformations and generational dynamics shape entrepreneurial behavior. The findings contribute to the literature on generational differences by highlighting young entrepreneurs as main drivers of opportunity-based entrepreneurship in developing market contexts.

Keywords: Technology readiness and acceptance model; High-growth aspiration entrepreneurs; Emerging market developing economy; Generational differences (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eme:dtspps:dts-02-2025-0040

DOI: 10.1108/DTS-02-2025-0040

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