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Technology adoption trends: generative AI among indian it employees across different generations and genders.

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Authors: Agarwal, Alpana1 (AUTHOR) alpana.agarwal@scmsnoida.ac.in, Kapoor, Komal2 (AUTHOR)
Source: Journal of Innovation & Entrepreneurship. 6/2/2026, Vol. 15 Issue 1, p1-15. 15p.
Subject Terms: *Generative artificial intelligence, *Innovation adoption, *Software engineers, *Expertise, Gender differences (Sociology), Trust, Age groups, Optimism
Geographic Terms: India
Abstract: The rapid advancement and integration of Generative AI technologies into various sectors have significant implications for technology adoption across different demographics in India's working population, particularly among IT employees. This surge in AI adoption is driving the need to understand the relation between propensity to adopt new technology and both gender and generation-related individual differences within the Indian workforce. The examination of Gen-AI adoption propensity is done based on dimensions such as optimism, proficiency, dependence, and vulnerability. A cross-sectional survey design is planned for this study with a sample of 330 using quota sampling on a population including professionals aging 22 to 54 and working in Delhi NCR. The Shapiro-Wilk and Kolmogorov-Smirnov test, Mann-Whitney U test, Kruskal-Wallis test are applied to test the hypotheses. The findings of the study show that Gen Z shows higher optimism and dependability for Gen-AI while Gen Y shows the highest proficiency in Gen-AI technology. In addition, the results also indicate optimism, vulnerability and dependence to be higher for women. It is expected that by comprehensively analysing these factors, the study can guide policymakers, educators, and technology developers to tailor their approaches, ensuring inclusive dissemination of Gen-AI technologies. [ABSTRACT FROM AUTHOR]
Database: Entrepreneurial Studies Source
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  Data: <searchLink fieldCode="AR" term="%22Agarwal%2C+Alpana%22">Agarwal, Alpana</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> alpana.agarwal@scmsnoida.ac.in</i><br /><searchLink fieldCode="AR" term="%22Kapoor%2C+Komal%22">Kapoor, Komal</searchLink><relatesTo>2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Innovation+%26+Entrepreneurship%22">Journal of Innovation & Entrepreneurship</searchLink>. 6/2/2026, Vol. 15 Issue 1, p1-15. 15p.
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  Data: *<searchLink fieldCode="DE" term="%22Generative+artificial+intelligence%22">Generative artificial intelligence</searchLink><br />*<searchLink fieldCode="DE" term="%22Innovation+adoption%22">Innovation adoption</searchLink><br />*<searchLink fieldCode="DE" term="%22Software+engineers%22">Software engineers</searchLink><br />*<searchLink fieldCode="DE" term="%22Expertise%22">Expertise</searchLink><br /><searchLink fieldCode="DE" term="%22Gender+differences+%28Sociology%29%22">Gender differences (Sociology)</searchLink><br /><searchLink fieldCode="DE" term="%22Trust%22">Trust</searchLink><br /><searchLink fieldCode="DE" term="%22Age+groups%22">Age groups</searchLink><br /><searchLink fieldCode="DE" term="%22Optimism%22">Optimism</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22India%22">India</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The rapid advancement and integration of Generative AI technologies into various sectors have significant implications for technology adoption across different demographics in India's working population, particularly among IT employees. This surge in AI adoption is driving the need to understand the relation between propensity to adopt new technology and both gender and generation-related individual differences within the Indian workforce. The examination of Gen-AI adoption propensity is done based on dimensions such as optimism, proficiency, dependence, and vulnerability. A cross-sectional survey design is planned for this study with a sample of 330 using quota sampling on a population including professionals aging 22 to 54 and working in Delhi NCR. The Shapiro-Wilk and Kolmogorov-Smirnov test, Mann-Whitney U test, Kruskal-Wallis test are applied to test the hypotheses. The findings of the study show that Gen Z shows higher optimism and dependability for Gen-AI while Gen Y shows the highest proficiency in Gen-AI technology. In addition, the results also indicate optimism, vulnerability and dependence to be higher for women. It is expected that by comprehensively analysing these factors, the study can guide policymakers, educators, and technology developers to tailor their approaches, ensuring inclusive dissemination of Gen-AI technologies. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1186/s13731-026-00663-4
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 15
        StartPage: 1
    Subjects:
      – SubjectFull: Generative artificial intelligence
        Type: general
      – SubjectFull: Innovation adoption
        Type: general
      – SubjectFull: Software engineers
        Type: general
      – SubjectFull: Expertise
        Type: general
      – SubjectFull: Gender differences (Sociology)
        Type: general
      – SubjectFull: Trust
        Type: general
      – SubjectFull: Age groups
        Type: general
      – SubjectFull: Optimism
        Type: general
      – SubjectFull: India
        Type: general
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      – TitleFull: Technology adoption trends: generative AI among indian it employees across different generations and genders.
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            NameFull: Kapoor, Komal
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            – D: 02
              M: 06
              Text: 6/2/2026
              Type: published
              Y: 2026
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