Prior research has primarily focused on initial adoption decisions, neglecting the affective and motivational dimensions

The gap

Evidence profile

Sourced from the future work and inline gaps and stated research gap of the source papers, classified as general, spanning 4 journals.

Supporting evidence — 4 representative gaps

• Mapping the technology acceptance curve (2026) · American Journal of STEM Education · doi

  The study proposes a new framework to capture the entire gamut of psychological processes that individuals undergo while accepting and adopting new technologies. While the current study focuses on educators, the model can be applied to other professions as well. As a prefatory step, this study sifts through literature and available models to come up with a framework that better captures the entire spectrum. However, future research on samples will bolster the conceptual framework proposed in this study. REFERENCES Al-Emran, M., & Granić, A. (2021). Is It Still Valid or Outdated? A Bibliometric Analysis of the Technology Acceptance Model and Its Applications From 2010 to 2020. In M. Al-Emran & K. Shaalan (Eds.), Recent Advances in Technology Acceptance Models and Theories (Vol. 335, pp. 1–12). Springer International Publishing. https://doi.org/10.1007/978-3-030-64987-6_1 Al-Emran, M., Mezhuyev, V., & Kamaludin, A. (2018). Technology Acceptance Model in M-learning context: A systematic review. Computers & Education, 125, 389–412. https://doi.org/10.1016/j.compedu.2018.06.008 AlManei, M., Salonitis, K., & Tsinopoulos, C. (2018). A conceptual lean implementation framework based on change management theory. Procedia Cirp, 72, 1160–1165. https://doi.org/10.1016/j.procir.2018.03.141 Armitage, C. J. (2009). Is there utility in the transtheoretical model? British Journal of Health Psychology, 14(2), 195–210. https://doi.org/10.1348/135910708X368991 Bagga, S. K., Gera, S., & Haque, S. N. (2023). The mediating role of organizational culture: Transformational leadership and change management in virtual teams. Asia Pacific Management Review, 28(2), 120–131. Baumeister, R. F., Vohs, K. D., Nathan DeWall, C., & Liqing Zhang. (2007). How Emotion Shapes Behavior: Feedback, Anticipation, and Reflection, Rather Than Direct Causation. Personality and Social Psychology Review, 11(2), 167–203. https://doi.org/10.1177/1088868307301033 9 Bhattacherjee, A., & Park, S. C. (2014). Why end-users move to the cloud: A migration-theoretic analysis. European Journal of Information Systems, 23(3), 357–372. https://doi.org/10.1057/ejis.2013.1 Boonstra, A. (2024). Change management for digital transformation. In A Research Agenda for Digital Transformation (pp. 227–254). Edward Elgar Publishing. https://www.elgaronline.com/edcollchap/book/9781035306435/book- part-9781035306435-16.xml Conceição, S. C. O. (2006). Faculty Lived Experiences in the Online Environment. Adult Education Quarterly, 57(1), 26–45. https://doi.org/10.1177/1059601106292247 Corr, C. A. (2021). Should We Incorporate the Work of Elisabeth Kübler- Ross in Our Current Teaching and Practice and, If So, How? OMEGA - Journal of Death and Dying, 83(4), 706–728. https://doi.org/10.1177/0030222819865397 Darban, M., & Polites, G. L. (2016). Do emotions matter in technology training? Exploring their effects on individual

  generalfuture work
  Keywords: https framework model technology management emran acceptance review change journal entire current models conceptual publishing
• Students’ use of Internet-Based Payment Applications: An Extension of the Technology Acceptance Model Theory (2026) · Asian Journal of Applied Education (AJAE) · doi

  Future studies are recommended to involve broader samples, use probability sampling, and include individual perceptions and an 356 " Asian Journal of Applied Education (AJAE) " Vol. FURTHER RESEARCH This research still has limitations so further research on this topic is still needed “Students’ use of Internet-Based Payment Applications: An Extension of the Technology Acceptance Model Theory” REFERENCES Agarwal, R.

  generalinline gaps
  Keywords: further still future recommended involve broader samples probability sampling include individual perceptions asian journal applied
• Decoding digital transformation in health professions education: a comparative analysis of knowledge, attitudes, and readiness among faculty and students at KSAU-HS (2026) · Frontiers in Digital Health · doi

  on digital transformation. In Saudi Arabia, digital transformation is a national priority, yet little research has examined the preparedness of academic communities in health sciences education for this change. This study aims to assess the readiness of faculty and students, as well as their learning environment. The findings will help institutions effective digital improve transformation in health education. support their for Theoretical & conceptual framework Figure 1 summarizes that current research is framed by established theories of technology adoption, namely the technology acceptance model and the unified theory of acceptance and use of technology. These frameworks provide a thorough understanding their perceptions, attitudes, and of how behavioral intentions towards digital technology. individuals form The technology acceptance model (TAM) posits that an individual’s use of a technology is influenced primarily by perceived usefulness (PU) and perceived ease of use (PEU), which, in turn, shape attitudes and intentions (23). Digital technology will be used in this research as a foundational determinant of how an individual’s level of digital knowledge their perception and behavior. The higher an influences individual’s digital knowledge, the more likely they are to develop positive attitudes toward digital transformation, as they perceive these technologies as valuable and manageable (24). The unified theory of acceptance and use of technology builds on previous theories by incorporating additional factors, such as facilitating conditions, social influence, and behavioral intention, into a conceptual framework explaining how one adopts a technology (24). In this framework, attitudinal response refers to an individual’s view of digital transformation. In contrast, readiness to adopt it refers to an individual’s preparedness to use digital systems institution. As a result, institutional support, training, and access to digital infrastructure are considered enabling factors that increase readiness (25). The framework was developed prior to data collection and served as the theoretical basis for the study’s hypotheses and subsequent structural equation modeling analyses. Figure 1 illustrates the hypothesized relationships among the study variables and does not present empirical findings or statistical results. in an educational

  generalfuture work
  Keywords: digital technology transformation individual framework acceptance readiness attitudes preparedness health education support theoretical conceptual theories
• Factors influencing university teachers’ behavioral intention to use digital technologies: an integrative model from UTAUT (2026) · Education and Information Technologies · doi

  Prior research has primarily focused on initial adoption decisions, neglecting the affective and motivational dimensions. The UTAUT model has limitations in explaining the effective implementation of technology in teaching. There is a need for a comprehensive theoretical model that integrates multiple frameworks to understand the factors influencing university teachers' intention to adopt digital technologies.

  generalstated research gapevidence 5/5
  Keywords: prior research has primarily focused initial adoption decisions

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