Theory of Acceptance and Use of Technology Model Applied to Entrepreneurs
DOI:
https://doi.org/10.15665/encuent.v23i01.3731Keywords:
Entrepreneurship, UTAUT, TechnologyAbstract
This study examines the construct validity and relevance of the categories involved in the UTAUT 2 model in the context of entrepreneurs, aiming to assess whether its concepts are applicable for understanding how this population segment adopts new technologies. Previous technology acceptance models, such as TAM and UTAUT, were primarily designed for employees and consumers, making it an opportunity to conduct a specific analysis to see how they fit the realities of entrepreneurs. Technology plays a key role in the success of entrepreneurial ventures, and entrepreneurs, who often work in dynamic environments, face unique challenges in adopting it. This qualitative and exploratory study is based on interviews with 24 Spanish-speaking entrepreneurs developing startups. From these interviews, the relevance of the various factors in the UTAUT 2 model was analyzed in this group. The results showed that some constructs, such as performance expectancy and effort expectancy, are relevant, while others, such as social influence and habit, play a less significant role for entrepreneurs. Additionally, adaptations to the model are suggested, considering factors such as perceived risk and perceived trust in technology. In conclusion, the applicability of UTAUT 2 to entrepreneurs is discussed, and potential improvements are proposed to better suit the needs of this population segment.
References
Abaddi, S. (2023). GPT revolution and digital entrepreneurial intentions. Journal of Entrepreneurship in Emerging Economies.
Abaddi, S. (2024). Metaverse, entrepreneurial learning and opportunity exploitation. Journal of Entrepreneurship in Emerging Economies.
Allawi, W. H., & Alyouzbaky, B. A. (2024). Factors affecting the adoption of digital entrepreneurship: a survey of private schools in Nineveh Governorate in Iraq. Journal of Science and Technology Policy Management.
Attree, K., & Lewis, C. (2024). Entrepreneurial responses to COVID-19 farmers' market closures-the experiences of rural micro vendors using social media. International Journal of Entrepreneurship and Small Business, 52(3), 312-331.
Barra, C., Grimaldi, M., Muazzam, A., Troisi, O., & Visvizi, A. (2024). Digital divide, gender gap, and entrepreneurial orientation: How to foster technology adoption among Pakistani higher education students?. Socio-Economic Planning Sciences, 93, 101904.
Coulter, R. H., & Zaitman, G. (1994). Using The Zaltman Metaphor Elicitation Technique to Understand Brand Images. Advances in consumer research, 21(1).
Davis, F . D . (1986) . A technology acceptance model for empirically testing new end - user information systems : theory and results . Ph . D . dissertation , MIT Sloan School of Management , Cambridge , MA
Davis, F. D. (1987). User acceptance of information systems: the technology acceptance model (TAM).
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340. https://doi.org/10.2307/249008
Davis, F. D., & Venkatesh, V. (1996). A critical assessment of potential measurement biases in the technology acceptance model: three experiments. International journal of human-computer studies, 45(1), 19-45. https://doi.org/10.1006/ijhc.1996.0040
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). Technology acceptance model. J Manag Sci, 35(8), 982-1003.
Davis, Fred D.; Bagozzi, Richard P.; Warshaw, Paul R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management science, vol. 35, no 8, p. 982-1003. https://doi.org/10.1287/mnsc.35.8.982
Franco, M., Godinho, L., & Rodrigues, M. (2021). Exploring the influence of digital entrepreneurship on SME digitalization and management. Small Enterprise Research, 28(3), 269-292.
Gavino, M. C., Williams, D. E., Jacobson, D., & Smith, I. (2019). Latino entrepreneurs and social media adoption: personal and business social network platforms. Management Research Review, 42(4), 469-494.
Godswill Agu, A., & Margaça, C. (2024). Digital transformation and religious entrepreneurship in Nigeria: integrating artificial intelligence toward competitive advantage. African Journal of Economic and Management Studies.
Gonzalez-Tamayo, L. A., Maheshwari, G., Bonomo-Odizzio, A., & Krauss-Delorme, C. (2024). Successful business behaviour: An approach from the unified theory of acceptance and use of technology (UTAUT). The International Journal of Management Education, 22(2), 100979.
Hajoary, P. K., Jennifer, D. S., & Pathak, M. (2024). Digital technology adoption in circular startups: An integrated framework. Business Strategy & Development, 7(3), e425.
Instituto Nacional de Estadistica (2022). Sintesis de Resultados VII Encuesta de Microemprendimiento. Santiago, Chile.
Jaziri, R., & Miralam, M. (2019). Modelling the crowdfunding technology adoption among novice entrepreneurs: an extended TAM model. Entrepreneurship and Sustainability Issues, 7(1), 353.
Ketikidis, P., Solomon, A., Nersisyan, L., & Siavalas, F. (2016). Digital social media marketing for entrepreneurs: boosting brand image and innovation potential. Responsible entrepreneurship vision, development and ethics, 40.
Moghavvemi, S., & Salleh, N. A. M. (2010). IT-Related innovation adoption and entrepreneurship. In Proceedings of the 5th European Conference on Innovation and Entrepreneurship (Vol. 728736).
Moghavvemi, S., Mohd Salleh, N. A., Zhao, W., & Mattila, M. (2012). The entrepreneur’s perception on information technology innovation adoption: An empirical analysis of the role of precipitating events on usage behavior. Innovation, 14(2), 231-246.
Oppong, G. Y. S., Singh, S., & Kujur, F. (2020). Potential of digital technologies in academic entrepreneurship–a study. International Journal of Entrepreneurial Behavior & Research, 26(7), 1449-1476.
Oumlil, R & Bennani AE (2014). Acceptance of E-Entrepreneurship by Future Laureates of Public and Private Business Schools: Case of Morocco. Vision 2020: sustainable growth, economic development, and global competitiveness, vols 1-5.
Phuong Dung, P. T., Minh An, H., Huy, P. Q., & Dinh Quy, N. L. (2023). Understanding the startup’s intention of digital marketing’s learners: An application of the theory of planned behavior (TPB) and technology acceptance method (TAM). Cogent Business & Management, 10(2), 2219415.
Rahimi, R. A., & Oh, G. S. (2024). Beyond theory: a systematic review of strengths and limitations in technology acceptance models through an entrepreneurial lens. Journal of Marketing Analytics, 1-24.
Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision sciences, 39(2), 273-315.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204. https://doi.org/10.1287/mnsc.46.2.186.11926
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478. https://doi.org/10.2307/30036540
Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS quarterly, 157-178. https://doi.org/10.2307/41410412
Zaltman, G., & Coulter, R. H. (1995). Seeing the voice of the customer: Metaphor-based advertising research. Journal of advertising research, 35(4), 35-51.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 David Álvarez-Maldonado

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Proposed Policy for Open Access Journals
Authors who publish in this journal agree to the following terms:
- Authors retain copyright and grant the journal the right of first publication, with the work registered under a Creative Commons Attribution License, which allows others to use the published work as long as the authorship and first publication in this journal are acknowledged.
- Authors can enter into additional contractual agreements for the non-exclusive distribution of the published version of the article (e.g., include it in an institutional repository or publish it in a book) as long as the first publication in this journal is acknowledged.
- Authors are allowed and encouraged to post their work online (e.g., on institutional or personal websites) before and during the submission process, as this can lead to productive exchanges and a greater and faster dissemination of the published work (see The Effect of Open Access).