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Applications of Artificial Intelligence for Strategic Management of Organization |
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| รหัสดีโอไอ | |
| Creator | Somsit Duangekanong |
| Title | Applications of Artificial Intelligence for Strategic Management of Organization |
| Publisher | Graduate School of Business and Advanced Technology Management Assumption University Thailand |
| Publication Year | 2565 |
| Journal Title | ABAC ODI Journal Vision. Action. Outcome |
| Journal Vol. | 9 |
| Journal No. | 2 |
| Page no. | 201-217 |
| Keyword | organizational culture, technological readiness, UTAUT, artificial intelligence, strategic management |
| URL Website | http://www.assumptionjournal.au.edu/index.php/odijournal |
| Website title | ABAC ODI Journal Vision. Action.Outcome |
| ISSN | 2408-2058 |
| Abstract | Artificial intelligence (AI) is a new tool for organizational 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 organizational 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 organization. Within this model, situational factors include technological capability and organizational 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, organizational 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 |