Extending the UTAUT3 model: The influence of personal innovativeness on Generation Z’s behavioral intention to use digital banking in Indonesia

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Type of the article: Research Article

Abstract
In the context of the Industrial Revolution 4.0 and 5.0, continuous advances in information technology have redefined electronic banking by enabling the emergence of fully digital banking services. Generation Z, characterized as digital natives due to their upbringing in a technology-saturated world and their adeptness with emerging digital technologies, represents a significant cohort in this shift. This study develops an extended Unified Theory of Acceptance and Use of Technology 3 (UTAUT3) framework by incorporating personal innovativeness to explain how various factors shape both behavioral intention and actual utilization of digital banking services among Generation Z in Indonesia. This research applied a quantitative methodology by surveying 892 Generation Z individuals who actively use digital banking services during the period from 1 April to 31 May 2025. The hypothesized model was evaluated using Partial Least Squares–Structural Equation Modelling (PLS-SEM). The analysis reveals that performance expectancy, facilitating conditions, habit, and personal innovativeness play a significant role in strengthening users’ intentions to adopt digital banking. Moreover, behavioral intention has a significant effect on actual usage behavior and serves as a mediating variable in the relationship between personal innovativeness and usage behavior. This highlights the central role of technological considerations and individual innovativeness in Generation Z’s digital banking adoption. This study enriches the technology adoption literature by empirically testing an augmented UTAUT3 model in the context of digital banking within a developing economy.

Acknowledgment
This study was financed by the Research and Community Service Program of the Faculty of Economics and Business at Diponegoro University, pursuant to Dean’s Decree No. 302/UN7.F2/HK/IV/2025.

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    • Figure 1. Structural model (inner model)
    • Table 1. Independent sample t-test
    • Table 2. Profile of participants
    • Table 3. Variable summary
    • Table 4. Outer loading, CR, and AVE
    • Table 5. Fornell-Lacker criterion
    • Table 6. Heterotrait-monotrait ratio (HTMT)
    • Table 7. VIF values
    • Table 8. R and Q-squared values
    • Table 9. Hypothesis testing outcomes
    • Table A1. Research survey instrument
    • Conceptualization
      Wahyu Meiranto
    • Data curation
      Wahyu Meiranto, Adi Firman Ramadhan, Etna Nur Afri Yuyetta, Marsono
    • Formal Analysis
      Wahyu Meiranto, Adi Firman Ramadhan, Etna Nur Afri Yuyetta
    • Funding acquisition
      Wahyu Meiranto, Adi Firman Ramadhan, Etna Nur Afri Yuyetta, Marsono
    • Investigation
      Wahyu Meiranto, Adi Firman Ramadhan, Etna Nur Afri Yuyetta, Marsono
    • Methodology
      Wahyu Meiranto, Adi Firman Ramadhan, Etna Nur Afri Yuyetta, Marsono
    • Project administration
      Wahyu Meiranto
    • Resources
      Wahyu Meiranto, Adi Firman Ramadhan, Etna Nur Afri Yuyetta, Marsono
    • Software
      Wahyu Meiranto, Adi Firman Ramadhan, Etna Nur Afri Yuyetta
    • Supervision
      Wahyu Meiranto, Adi Firman Ramadhan, Etna Nur Afri Yuyetta, Marsono
    • Validation
      Wahyu Meiranto, Adi Firman Ramadhan, Etna Nur Afri Yuyetta, Marsono
    • Writing – original draft
      Wahyu Meiranto
    • Visualization
      Adi Firman Ramadhan, Etna Nur Afri Yuyetta, Marsono
    • Writing – review & editing
      Adi Firman Ramadhan, Etna Nur Afri Yuyetta, Marsono