DOI : https://doi.org/10.18517/ijaseit.15.1.12623

Innovations and Adoption: Examining the Constructs of Technology Acceptance Theories

Azliza Yacob (1), Noraida Haji Ali (2), Aimi Dalila Roslim (3)
(1) Faculty of Computers, Media & Technology Management, University College TATI (UC TATI), Kemaman, Terengganu, Malaysia
(2) Faculty of Computer Science and Mathematics, Universiti Malaysia Terengganu (UMT), Kuala Nerus, Terengganu, Malaysia
(3) Faculty of Computers, Media & Technology Management, University College TATI (UC TATI), Kemaman, Terengganu, Malaysia
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A. Yacob, N. Haji Ali, and A. D. Roslim, “Innovations and Adoption: Examining the Constructs of Technology Acceptance Theories”, Int. J. Adv. Sci. Eng. Inf. Technol., vol. 15, no. 1, pp. 338–344, Feb. 2025.
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The swift advancement of technology requires a more profound comprehension of the factors affecting its acceptance in different areas. This systematic literature review analyses prevalent notions and proposes additional constructs for incorporation into technology adoption theories to improve comprehension of user acceptance. The main issue is the need for an updated and organized study to identify the prevalent constructions utilized within technology adoption theory and propose new, less common constructs for consideration in the paper. A meticulous search strategy is employed, utilizing precise keywords and criteria in esteemed databases such as Scopus and Web of Science. The study methodology adheres to the PRISMA framework. The research focused on studies published between 2022 and 2024, culminating in analyzing 45 primary data entries. The findings were categorized into three themes: (1) user acceptance and behavioral intents, (2) technology integration and innovation, and (3) sustainability and social impact. The analysis indicated that only three are common among the 44 constructs examined. The constructs are Trust, Security Risk, and Attitude. This study's identified constructs provide a foundation for advancing technology adoption theories, emphasizing the necessity for continued research into their implications and exploring constructs beyond Computer Science.

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