STRUCTURAL MODEL OF DIGITAL INNOVATION CAPABILITY INFLUENCING BUSINESS SUSTAINABILITY OF SMES IN THE UPPER CENTRAL REGION OF THAILAND
Main Article Content
Abstract
The transformation of digital technologies has significantly reshaped the nature of business competition, particularly for small and medium-sized enterprises (SMEs), which are required to adapt to the digital economy. However, the mere adoption of digital technologies may not be sufficient if organizations lack strategic capabilities and innovation capacity. This study aims to achieve four objectives: 1) to examine the effects of digital entrepreneurial orientation and dynamic capabilities on digital innovation capability; 2) to investigate the influence of digital innovation capability on digital business model innovation and digital customer engagement; 3) to explore the impact of digital business model innovation and digital customer engagement on business success; and 4) to develop a structural model of these relationships in the context of the Upper Central region of Thailand, which consists of both agro-industrial and regional industrial sectors with diverse economic structures and digital readiness. This study adopts a conceptual research approach by synthesizing relevant literature, theories, and prior studies to develop a structural model and research propositions for future empirical testing. The findings indicate that digital entrepreneurial orientation and dynamic capabilities serve as upstream drivers that significantly contribute to the development of digital innovation capability. This capability functions as a key mechanism in driving digital business model innovation and digital customer engagement, ultimately leading to business success. The proposed model systematically explains the relationships among variables, demonstrates theoretical consistency, and provides a robust foundation for future empirical validation.
Article Details
References
Bharadwaj, A. et al. (2013). Digital Business Strategy: Toward a Next Generation of Insights. Management Information Systems Quarterly, 37(2), 471-482.
Braun, V. & Clarke, V. (2006). Using Thematic Analysis in Psychology. Qualitative Research in Psychology, 3(2), 77-101.
Brodie, R. et al. (2011). Customer engagement: Conceptual domain, fundamental propositions, and implications for research. Journal of Service Research, 17(3), 1-20.
Budiarti, I. & Firmansyah, D. (2024). Innovation capability: Digital transformation of human resources and digital talent in SMEs. Journal of Eastern European and Central Asian Research (JEECAR), 11(3), 621-637.
Covin, J. G. & Wales, W. J. (2019). Crafting High-Impact Entrepreneurial Orientation Research: Some Suggested Guidelines. Entrepreneurship Theory and Practice, 43(1), 3-18.
Foss, N. & Saebi, T. (2017). Fifteen years of research on business model innovation: How far have we come, and where should we go? Journal of Management, 43(1), 200-227.
Hair, J. F. et al. (2019). Identifying and Treating Unobserved Heterogeneity with FIMIX-PLS: Part I - Method. European Business Review, 28(2), 63-76.
Hollebeek, L. et al. (2019). S-D logic-informed customer engagement: integrative framework, revised fundamental propositions, and application to CRM. Journal of the Academy of Marketing Science, 47(1), 161-185.
Kang, W. (2024). A Systematic Review: Bridging the Digital Divide in SME Digitalization. The Atomic Academia Journal, 5(1), 1-12.
Lumpkin, G. & Dess, G. (1996). Clarifying the entrepreneurial orientation construct and linking it to performance. Academy of Management Review, 21(1), 135-172.
Nambisan, S. (2017). Digital Entrepreneurship: Toward a Digital Technology Perspective of Entrepreneurship. Entrepreneurship: Theory and Practice, 41(6), 1029-1055.
Organisation for Economic Co-operation and Development. (2024). OECD digital economy outlook 2024 (Volume 1). Retrieved December 15, 2025, from https://doi.org/10.1787/a1689dc5-en
Paweehirunkrai, T. & Pankham, S. (2025). Determinants of Superior Long-Term Business Performance in Thai Small and Medium-Sized Enterprises: An Integrated Analysis Using Fuzzy Rough Set Theory and Second Order Confirmatory Factor Analysis. Sustainability, 17(5), 1-22.
Teece, D. J. (2007). Explicating dynamic capabilities: The nature and microfoundations of (sustainable) enterprise performance. Strategic Management Journal, 28(13), 1319-1350.
Teece, D. J. (2010). Business models, business strategy and innovation. Long Range Planning, 43(2-3), 172-194.
Teece, D. J. (2018). Business models and dynamic capabilities. Long Range Planning, 51(1), 40-49.
Teece, D. J. et al. (1997). Dynamic Capabilities and Strategic Management. Strategic Management Journal, 18(7), 509-533.
Venkatraman, N. & Ramanujam, T. (1986). Measurement of business performance in strategy research: A comparison of approaches. Academy of Management Review, 11(4), 801-814.
Vial, G. (2019). Understanding digital transformation: A review and a research agenda. The Journal of Strategic Information Systems, 28(2), 118-144.
Vivek, S. et al. (2014). Customer Engagement: Exploring Customer Relationships Beyond Purchase. Journal of Marketing Theory and Practice, 20(2), 122-146.
Warner, K. S. R. & Wager, M. (2019). Building dynamic capabilities for digital transformation: An ongoing process of strategic renewal. Long Range Planning, 52(3), 326-349.
World Bank. (2024). Small and medium enterprises (SMEs) finance. Retrieved December 21, 2020, from https://www.worldbank.org/ext/en/topic/competitiveness/small-and-medium-enterprises-smes-finance
Yoo, Y. et al. (2012). Organizing for Innovation in the Digitized World. Organization Science, 23(5), 1398-1408.