Dynamics of Technology Transition, Workforce Skill Transition, and Organizational Adaptation and Their Effects on Organizational Performance in the Automotive Industry
Article Sidebar
Main Article Content
Abstract
This study aims to examine the effects of technological transformation-namely manufacturing technology and automation systems, and product technology transition-on workforce skill transition, organizational adaptation, and organizational operational performance, as well as to investigate the mediating roles of these variables in the proposed relationships. The study addresses underexplored internal organizational mechanisms in the existing literature, which has predominantly focused on the direct effects of technological transformation on organizational performance, while providing limited empirical examination of the internal mechanisms through which such effects are transmitted, particularly in the automotive industry context. Data were collected from 396 personnel in the automotive industry and analyzed using descriptive statistics, confirmatory factor analysis, and structural equation modeling. The results indicate that the proposed model demonstrates a good fit with the empirical data, with all model fit indices meeting acceptable thresholds. Both factors, in turn, positively influence organizational operational performance and serve as mediating mechanisms through which technological transformation affects organizational performance. These findings confirm the critical role of internal organizational resources and capabilities in linking technological transformation to organizational performance.
Downloads
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
References
วรรณวิชนี ถนอมชาติ และวรรณภา ลือกิตินันท์. (2568). พลวัตการพลิกโฉมทางเทคโนโลยีต่อการจ้างงานในอุตสาหกรรมยานยนต์: การศึกษาตามแนวทางทฤษฎีฐานราก. วารสารเครือข่ายส่งเสริมการวิจัยทางมนุษยศาสตร์และสังคมศาสตร์, 8(2), 141–166. https://so06.tci-thaijo.org/index.php/hsrnj/article/view/284915
สำนักงานคณะกรรมการนโยบายเขตพัฒนาพิเศษภาคตะวันออก. (2566). แผนยุทธศาสตร์สำนักงานคณะกรรมการนโยบายเขตพัฒนาพิเศษภาคตะวันออก ระยะ 3 ปี (พ.ศ. 2567 – 2569) (ฉบับปรับปรุง). https://www.eeco.or.th/en/performance-reports/
Acemoglu, D., & Restrepo, P. (2020). Robots and jobs: Evidence from US labor markets. Journal of Political Economy, 128(6), 2188–2244. https://doi.org/10.1086/705716
Autor, D. H. (2015). Why are there still so many jobs? The history and future of workplace automation. Journal of Economic Perspectives, 29(3), 3–30. https://doi.org/10.1257/jep.29.3.3
Bakker, A. B., & Demerouti, E. (2017). Job demands–resources theory: Taking stock and looking forward. Journal of Occupational Health Psychology, 22(3), 273–285. https://doi.org/10.1037/ocp0000056
Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120. https://doi.org/10.1177/014920639101700108
Bharadwaj, A., El Sawy, O. A., Pavlou, P. A., & Venkatraman, N. (2013). Digital business strategy: Toward a next generation of insights. MIS Quarterly, 37(2), 471–482. https://doi.org/10.25300/MISQ/2013/37:2.3
Bresciani, S., Huarng, K. H., Malhotra, A., & Ferraris, A. (2021). Digital transformation as a springboard for product, process and business model innovation. Journal of Business Research, 128, 204–210. https://doi.org/10.1016/j.jbusres.2021.02.003
Brown, T. A. (2015). Confirmatory factor analysis for applied research (2nd ed.). Guilford Press.
Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. W. W. Norton & Company.
Calder, B. J., Phillips, L. W., & Tybout, A. M. (1981). Designing research for application. Journal of Consumer Research, 8(2), 197–207. https://doi.org/10.1086/208856
Eller, R., Alford, P., Kallmünzer, A., & Peters, M. (2020). Antecedents, consequences, and challenges of small and medium-sized enterprise digitalization. Journal of Business Research, 112, 119–127. https://doi.org/10.1016/j.jbusres.2020.03.004
Fitzgerald, M., Kruschwitz, N., Bonnet, D., & Welch, M. (2014). Embracing digital technology: A new strategic imperative. MIT Sloan Management Review, 55(2), 1–12. https://emergenceweb.com/blog/wp-content/uploads/2013/10/embracing-digital-technology.pdf
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.2307/3151312
Guandalini, I. (2022). Sustainability through digital transformation: A systematic literature review for research guidance. Journal of Business Research, 148, 456–471. DOI: 10.1016/j.jbusres.2022.05.003
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A primer on partial least squares structural equation modeling (PLS-SEM) (3rd ed.). Sage Publications.
Hanelt, A., Bohnsack, R., Marz, D., & Antunes Marante, C. (2021). A systematic review of the literature on digital transformation: Insights and implications for strategy and organizational change. Journal of Management Studies, 58(5), 1159–1197. https://doi.org/10.1111/joms.12639
Kane, G. C., Palmer, D., Phillips, A. N., Kiron, D., & Buckley, N. (2019). Accelerating digital innovation inside and out: Agile teams, ecosystems, and ethics. MIT Sloan Management Review, 60(4), 1–18. https://sloanreview.mit.edu/projects/accelerating-digital-innovation-inside-and-out/
Kline, R. B. (2016). Principles and practice of structural equation modeling (4th ed.). Guilford Press.
Kraus, S., Durst, S., Ferreira, J. J., Veiga, P., Kailer, N., & Weinmann, A. (2022). Digital transformation in business and management research: An overview of the current status quo. International Journal of Information Management, 63, Article 102466. https://doi.org/10.1016/j.ijinfomgt.2021.102466
Li, L., Su, F., Zhang, W., & Mao, J. Y. (2018). Digital transformation by SME entrepreneurs: A capability perspective. Information Systems Journal, 28(6), 1129–1157. https://doi.org/10.1111/isj.12153
Nadkarni, S., & Prügl, R. (2021). Digital transformation: A review, synthesis and opportunities for future research. Management Review Quarterly, 71(2), 233–341. https://doi.org/10.1007/s11301-020-00185-7
Nambisan, S., Wright, M., & Feldman, M. (2019). The digital transformation of innovation and entrepreneurship: Progress, challenges and key themes. Research Policy, 48(8), Article 103773. https://doi.org/10.1016/j.respol.2019.03.018
OECD. (2024). OECD Digital Economy Outlook 2024 (Volume 1): Embracing the Technology Frontier. OECD Publishing, Paris. https://doi.org/10.1787/a1689dc5-en
Plekhanov, D., Franke, H., & Netland, T. H. (2023). Digital transformation: A review and research agenda. European Management Journal, 41(6), 821–836. https://doi.org/10.1016/j.emj.2022.09.007
Sebastian, I. M., Ross, J. W., Beath, C., Mocker, M., Moloney, K. G., & Fonstad, N. O. (2017). How big old companies navigate digital transformation. MIS Quarterly Executive, 16(3), 197–213. https://www.researchgate.net/publication/319929433_How_big_old_companies_navigate_digital_transformation
Teece, D. J. (2018). Business models and dynamic capabilities. Long Range Planning, 51(1), 40–49. https://doi.org/10.1016/j.lrp.2017.06.007
Thailand Board of Investment. (2024). Thailand EV industry and investment promotion measures. https://www.boi.go.th/un/boi_event_detail?module=news&topic_id=134676&language=en
Turner, R. C., & Carlson, L. (2003). Indexes of item–objective congruence for multidimensional items. International Journal of Testing, 3(2), 163–171. https://doi.org/10.1207/S15327574IJT0302_5
Verhoef, P. C., Broekhuizen, T., Bart, Y., Bhattacharya, A., Dong, J. Q., Fabian, N., & Haenlein, M. (2021). Digital transformation: A multidisciplinary reflection and research agenda. Journal of Business Research, 122, 889–901. https://doi.org/10.1016/j.jbusres.2019.09.022
Vial, G. (2019). Understanding digital transformation: A review and a research agenda. The Journal of Strategic Information Systems, 28(2), 118–144. https://doi.org/10.1016/j.jsis.2019.01.003
Warner, K. S. R., & Wäger, M. (2019). Building dynamic capabilities for digital transformation: An ongoing process of strategic renewal. Long Range Planning, 52(3), 326–349. https://doi.org/10.1016/j.lrp.2018.12.001
Wernerfelt, B. (1984). A resource-based view of the firm. Strategic Management Journal, 5(2), 171–180. https://doi.org/10.1002/smj.4250050207
Westerman, G., Bonnet, D., & McAfee, A. (2014). Leading digital: Turning technology into business transformation. Harvard Business Review Press.
World Economic Forum. (2024). The global risks report 2024 (19th ed.). World Economic Forum. https://www.weforum.org/reports/global-risks-report-2024/
World Economic Forum. (2025). The future of jobs report 2025. World Economic Forum. https://www.weforum.org/publications/the-future-of-jobs-report-2025/
Yin, R. K. (2018). Case study research and applications: Design and methods (6th ed.). Sage.