Browsing by Subject "UTAUT"
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ItemAdoption of online classes during COVID-19: an institution’s investigation on perception & behavioral intentionIn the advent of COVID-19, there is abounding curiosity whether the shift to online classes is effective. Moreover, as to which factors affect effectiveness, would become important for policymakers, stakeholders, and administrators currently mitigating educational disruption. As for Rajamangala University of Technology, Tawan-ok (RMUTTO), factors encouraging positive perception and behavioral intention towards adoption of online classes were explored among its learners and lecturers. These factors were adopted from the Unified Theory of Acceptance and Use of Technology model (UTAUT), sample responses were analyzed through the Exploratory Factor Analysis & Structural Equation Modeling; and results were shown among factor relationships. Performance Expectancy & Facilitating Conditions influenced Attitude, and Effort Expectancy & Social Influence influenced Behavioral Intention – in both groups. Performance Expectancy over Behavioral Intention and Social Influence over Attitude were especially significant among learners; while, Effort Expectancy on Attitude was particularly significant among lecturers. Also, a disconnect among Facilitating Conditions & Behavioral Intention, and surprisingly, Attitude & Behavioral Intention were shown in this study. Furthermore, their current adoption was implored. Both groups felt that the current policy was necessary, beneficial but, to an extent, not practical. Both groups believed challenges were related to paucity and capacity in running online classes. Learners specifically addressed future issues in online learning related to its effectiveness, and lecturers emphasized its equity in online teaching – if classes were to resume online much longer. Practical implications of this study in technology acceptance would contribute significantly towards better adoption of online classes during this outbreak.
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ItemApplications of artificial intelligence for strategic management of organisationArtificial intelligence (AI) is a new tool for organisational and strategic development which has not much been investigated. Therefore, this research investigates perceptions of strategic management experts about the future of Artificial Intelligence and its usage in strategic management. To achieve the research objective, a survey of strategic management specialists, including organisational strategy managers, consultants and academics (n = 231) was conducted. The research used the modified unified theory of acceptance and use of technology (UTAUT) model to investigate the factors that could contribute to an adoption of AI in the strategic management process of organisation. Within this model, situational factors include technological capability and organisational culture. The study showed all relationships of variables within the model were significant. The strongest effect on adoption intention was from technological readiness, while the effect of performance expectancy and effort expectancy was fully mediated. Furthermore, organisational culture had a significant effect on the adoption intention. The implication of these findings is that there is a need to consider utility and ethics of AI implementation for strategic management. There were several limitations of the study, including geographic focus and inclusion of specific adoption factors. In addition, more research is needed to examine AI adoption for strategic management.