Organizational Strategic Factors Affecting the Success of AI Technology Implementation for Higher Education Institution Management in Bangkok
Keywords:
Organizational strategy, AI technology, higher educational institution management, BangkokAbstract
The objectives of this research were: (1) to investigate the organizational strategic factors affecting the success of AI technology implementation for higher educational institution management in Bangkok; and (2) to propose guidelines for the development of models and methods in using AI technology for higher educational institution management in Bangkok. This research used a mixed quantitative-qualitative research method. The sample consisted of personnel from higher education institutions in Bangkok, obtained through multi-stage sampling, totaling 687 individuals. The research instruments included a survey questionnaire, interviews, and observation techniques. Quantitative data were analyzed using statistical methods with computer software, specifically multiple regression analysis, and qualitative data were analyzed through inductive content analysis. The research findings revealed five organizational strategic factors affecting the use of AI technology for higher educational institution management: (1) organizational policies; (2) management support; (3) user experience and AI technology usage competency; (4) user knowledge of AI technology for management; and (5) the ability of the AI technology development team to coordinate with users. The guidelines for developing models and methods for using AI technology consisted of: (1) considerations, including (i) awareness, (ii) capability, and (iii) provision; (2) the principles of designing modern database systems for AI technology, which included (i) covering user needs, (ii) aligning with the data in the system to be used, (iii) ensuring easy system access without problems, (iv) maximizing the connection of data in the system, and (v) ensuring maximum system stability and security; (3) the design and development methods, which included seven key stages: (i) feasibility study, (ii) system analysis, (iii) system design, (iv) programming, (v) system testing, (vi) system deployment, and (vii) system maintenance; (4) the planning and development of appropriate and efficient AI technology systems, including (i) user participation, (ii) educational innovation design, (iii) supporting both offline and online teaching and learning, (iv) standard verification, (v) the impact of device usage on user health, (vi) user problem-solving processes, (vii) system security, and (viii) compliance with ICT laws; and (5) the methods for using and evaluating the efficiency of AI technology, including (i) system reliability, (ii) system readiness, (iii) system security, and (iv) system error management. The obtained findings are expected to guide higher educational institutions in Bangkok to succeed well in establishing good standards and practices in AI technology for their organizations.
References
Aad, S. & Hardey, M. (2025). Generative AI: Hopes, controversies and the future of faculty roles in education. Quality Assurance in Education, 33(2), 267-282. https://doi.org/10.1108/QAE-02-2024-0043
Abdekhoda, M. & Dehnad, A. (2024). Adopting artificial intelligence driven technology in medical education. Interactive Technology and Smart Education, 21(4), 535-545. https://doi.org/10.1108/ITSE-12-2023-0240
Armanious, M. & Padgett, J. D. (2021). Agile learning strategies to compete in an uncertain business environment. Journal of Workplace Learning, 33(8), 635-647. https://doi.org/10.1108/JWL-11-2020-0181
Atasoy, E., Bozna, H., Sönmez, A., Aydın Akkurt, A., Tuna Büyükköse, G. & Fırat, M. (2020). Active learning analytics in mobile: Visions from PhD students. Asian Association of Open Universities Journal, 15(2), 145-166. https://doi.org/10.1108/AAOUJ-11-2019-0055
Barney, J. B. & Hesterly, W. S. (2020). Strategic Management and Competitive Advantage: Concepts Global Edition. Sixth edition. New York: Pearson Education Indochina.
Butner, K. (2019). Six strategies that define digital winners. Strategy & Leadership, 47(5), 10-27. https://doi.org/10.1108/SL-07-2019-0105
Cain, C. C., Buskey, C. D. & Washington, G. J. (2023). Artificial intelligence and conversational agent evolution--a cautionary tale of the benefits and pitfalls of advanced technology in education, academic research, and practice. Journal of Information, Communication and Ethics in Society, 21(4), 394-405. https://doi.org/10.1108/JICES-02-2023-0019
European Commission. (2021). Digital Education Action Plan (2021-2027). Eurydice Report. Luxembourg: Publications Office of the European Union.
Flavin, M. & Quintero, V. (2020). An international study of technology enhanced learning--Related strategies from the perspective of disruptive innovation. Interactive Technology and Smart Education, 17(4), 475-488. https://doi.org/10.1108/ITSE-11-2019-0077
Gavhane, J. M. & Pagare, R. (2024). Artificial intelligence for education and its emphasis on assessment and adversity quotient: A review. Education+Training, 66(6), 609-645. https://doi.org/10.1108/ET-04-2023-0117
Kang, H. (2023). Artificial intelligence and its influence in adult learning in China. Higher Education, Skills and Work-Based Learning, 13(3), 450-464. https://doi.org/10.1108/HESWBL-01-2023-0017
Kumar, K. & Vivekanandan, V. (2018). Advancing learning through smart learning analytics: A review of case studies. Asian Association of Open Universities Journal, 13(1), 1-12. https://doi.org/10.1108/AAOUJ-12-2017-0039
Laudon, K. C. & Laudon, J. P. (2019). Management Information Systems: Managing the Digital Firm. Sixteenth edition. New York: Pearson Education Indochina.
Leoni, L., Gueli, G., Ardolino, M., Panizzon, M. & Gupta, S. (2024). AI-empowered KM processes for decision-making: empirical evidence from worldwide organisations. Journal of Knowledge Management, 28(11), 320-347. https://doi.org/10.1108/JKM-03-2024-0262
Luckin, R. (2025). Nurturing human intelligence in the age of AI: Rethinking education for the future. Development and Learning in Organizations, 39(1), 1-4. https://doi.org/10.1108/DLO-04-2024-0108
Manoharan, K., Dissanayake, P. B. G., Pathirana, C., Deegahawature, D. & Silva, K. D. R. R. (2022). A curriculum guide model to the next normal in developing construction supervisory training programmes. Built Environment Project and Asset Management, 12(5), 792-822. https://doi.org/10.1108/BEPAM-02-2021-0038
Nilsson, P. & Lund, J. (2023). Design for learning-involving teachers in digital didactic design (D3). Interactive Technology and Smart Education, 20(1), 142-159. https://doi.org/10.1108/ITSE-08-2021-0143
Nosalska, K., Piatek, Z. M., Mazurek, G. & Rzadca, R. (2020). Industry 4.0: Coherent definition framework with technological and organizational interdependencies. Journal of Manufacturing Technology Management, 31(5), 837-862. https://doi.org/10.1108/JMTM-08-2018-0238
Okunlaya, R. O., Syed Abdullah, N. & Alias, R. A. (2022). Artificial intelligence (AI) library services innovative conceptual framework for the digital transformation of university education. Library Hi Tech, 40(6), 1869-1892. https://doi.org/10.1108/LHT-07-2021-0242
Phakamach, P. (2023a). Educational innovation: Elements and mechanisms for the development of Thai educational institutions towards internationalization. Journal of Education and Innovative Learning, 3(2), 161-180.
Phakamach, P. (2023b). Strategic factors of organizations affecting the success of using digital platform to administration of higher education institutions in Bangkok. Journal for Strategy and Enterprise Competitiveness, 2(6), 30-48.
Phakamach, P., Chaisakulkiet., U., Ratchavieng, A., Wachirawongpaisarn, S. & Phomdee, R. (2022a). The effective organizational strategy factors of success of using digital platform to administration of higher education institutions in Thailand. Proceedings of the 10th PSU Education Conference, 16-17 June 2021, Prince of Songkhla University, Thailand, 367-385.
Phakamach, P. & Panjarattanakorn, D. (2024). The development of a blended learning management digital platform on entrepreneurship and ventures in education for graduate learner. Asian Education and Learning Review, 2(1), 1-16. https://doi.org/10.14456/aelr.2024.1
Phakamach, P., Panjarattanakorn, D. & Onsampant, S. (2023c). Conceptualization and development of digital leadership to drive corporate digital transformation for sustainable success. International Journal of Educational Communications and Technology, 3(2), 27-39. https://ph01.tci-thaijo.org/index.php/IJECT/article/view/252269
Phakamach, P., Senarith, P., Dolprasit, S., Brahmawong, C., Panjarattanakorn, D., Chaisakulkiet, U., Pholsward, R. & Wachirawongpaisarn, S. (2023d). Digital leadership development model for science school administrators in Thailand. RICE Journal of Creative Entrepreneurship and Management, 4(1), 14-26. https://doi.org/10.14456/rjcm.2023.2
Phakamach, P., Senarith, P. & Wachirawongpaisarn, S. (2022b). The metaverse in education: The future of immersive teaching & learning. RICE Journal of Creative Entrepreneurship and Management, 3(2), 75-88. https://doi.org/10.14456/rjcm.2022.12
Phakamach, P., Wachirawongpaisarn, S. & Panjarattanakorn, D. (2021). Development of active learning management platform using constructivism on the topic of ICT system and innovation for educational administration at graduation level. Journal of Education and Innovative Learning, 1(3), 219-237.
Ruel, H., Rowlands, H. & Njoku, E. (2021). Digital business strategizing: The role of leadership and organizational learning. Competitiveness Review, 31(1), 145-161. https://doi.org/10.1108/CR-11-2019-0109
Salinas-Navarro, D. E., Vilalta-Perdomo, E., Michel-Villarreal, R. & Montesinos, L. (2024). Designing experiential learning activities with generative artificial intelligence tools for authentic assessment. Interactive Technology and Smart Education, 21(4), 708-734. https://doi.org/10.1108/ITSE-12-2023-0236
Saveliev, A. & Zhurenkov, D. (2021). Artificial intelligence and social responsibility: The case of the artificial intelligence strategies in the United States, Russia, and China. Kybernetes, 50(3), 656-675. https://doi.org/10.1108/K-01-2020-0060
Singh, J., Matthees, B. & Odetunde, A. (2021). Learning online education during COVID-19 pandemic--Attitudes and perceptions of non-traditional adult learners. Quality Assurance in Education, 29(4), 408-421. https://doi.org/10.1108/QAE-12-2020-0147
Sinlarat, P. (2020). The path to excellence in Thai education. RICE Journal of Creative Entrepreneurship and Management, 1(2), 60-75. https://doi.org/10.14456/rjcm.2020.12
Sriboonnark, N. (2020). Innovation and change management. RICE Journal of Creative Entrepreneurship and Management, 1(3), 36-44. https://doi.org/10.14456/rjcm.2020.15
Thottoli, M. M. & Thomas, K. V. (2024). Unlocking the potential of smart learning: Exploring the impact of students’ technological factors on remote access. Journal of Applied Research in Higher Education, 16(5), 1438-1452. https://doi.org/10.1108/JARHE-06-2023-0251
Tulowitzki, P., Gerick, J. & Eickelmann, B. (2022). The role of ICT for school leadership and management activities: An international comparison. International Journal of Educational Management, 36(2), 133-151. https://doi.org/10.1108/IJEM-06-2021-0251
Vodenko, K. V. & Lyausheva, S. A. (2020). Science and education in the form 4.0: Public policy and organization based on human and artificial intellectual capital. Journal of Intellectual Capital, 21(4), 549-564. https://doi.org/10.1108/JIC-11-2019-0274
Ziadlou, D. (2021). Strategies during digital transformation to make progress in achievement of sustainable development by 2030. Leadership in Health Services, 34(4), 375-391. https://doi.org/10.1108/LHS-08-2020-0056
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