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Evaluating User Adoption of Citizen Development Platform: A Case Study Using the Technology Acceptance Model

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Listed:
  • Norwin Bochmann
  • Heiko Moryson

Abstract

This study investigates user acceptance of a Citizen Development tool within a German energy company using the Technology Acceptance Model (TAM). As digital transformation accelerates across industries, empowering non-technical employees to create digital solutions through no-code platforms becomes increasingly relevant. The research applies TAM to analyze how perceived usefulness, perceived ease of use, and usage intention influence actual user acceptance of the tool. A quantitative survey was conducted with 177 employees, and data analysis was performed using SPSS and R Studio. The findings reveal that usage intention is the strongest predictor of user acceptance, explaining over 55% of the variance. Furthermore, both perceived usefulness and perceived ease of use significantly influence intention to use, with perceived usefulness having a greater impact. Perceived ease of use also has a moderate influence on perceived usefulness. These results confirm TAM's applicability in the energy sector and underline the importance of user-centered design and training. The study concludes with practical recommendations for enhancing digital adoption and highlights the potential for expanding the TAM framework to include additional variables. Limitations include a cross-sectional design, and a single-company focus, suggesting avenues for future longitudinal and cross-industry research.

Suggested Citation

  • Norwin Bochmann & Heiko Moryson, 2025. "Evaluating User Adoption of Citizen Development Platform: A Case Study Using the Technology Acceptance Model," International Business Research, Canadian Center of Science and Education, vol. 18(4), pages 1-12, August.
    • Handle: RePEc:ibn:ibrjnl:v:18:y:2025:i:4:p:12
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    References listed on IDEAS

    as
    1. Kieran Mathieson, 1991. "Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior," Information Systems Research, INFORMS, vol. 2(3), pages 173-191, September.
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    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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