Travel Tech Entrepreneurs and Sustainable Tourism Innovation in Thailand: A Conceptual Review
DOI:
https://doi.org/10.55164/ecbajournal.v18i4.285078Keywords:
Travel Tech, Digital marketing capability, Strategic agilityAbstract
This academic article aims to analyze the role of tourism and service innovation businesses, particularly Travel Tech entrepreneurs, in driving innovation and sustainable tourism development in Thailand within the context of the ongoing digital transformation of the tourism industry. The study adopts a conceptual review approach by analyzing and synthesizing relevant literature on Travel Tech businesses, digital innovation, and sustainable tourism development to explain the role of tourism technology entrepreneurs within the tourism industry ecosystem. The analysis indicates that several key factors support the development of tourism and service innovation businesses, including digital marketing capabilities, entrepreneurs’ strategic agility, and government support. At the same time, technological advancements enhance the capacity of tourism businesses to deliver personalized tourism services, utilize data for strategic planning, and create meaningful tourism experiences. Digital technologies also facilitate the development of niche tourism markets, such as wellness tourism and cultural tourism, as well as tourism development in rural areas. However, Travel Tech businesses also face significant challenges, including competition from global digital platforms and cost management constraints in the digital economy. These challenges highlight the importance of effectively integrating digital technologies with sustainable tourism practices in order to strengthen the competitiveness of Thailand’s tourism industry.
References
Apergis, N., & Payne, J. E. (2010). Renewable energy consumption and economic growth: Evidence from a panel of OECD countries. Energy Policy, 38(1), 656–660. DOI: https://doi.org/10.1016/j.enpol.2009.09.002
Balke, N. S., & Fomby, T. B. (1997). Threshold cointegration. International Economic Review, 38(3), 627–645. DOI: https://doi.org/10.2307/2527284
Çınar, İ. T., Korkmaz, I., & Şişman, M. Y. (2023). Green complexity, economic fitness, and environmental degradation: Evidence from US state-level data. Environmental Science and Pollution Research, 30(15), 43013–43023. DOI: https://doi.org/10.1007/s11356-022-19859-8
Doğan, B., Driha, O. M., Balsalobre-Lorente, D., & Shahzad, U. (2021). The mitigating effects of economic complexity and renewable energy on carbon emissions in developed countries. Sustainable Development, 29(1), 1–12. DOI: https://doi.org/10.1002/sd.2125
Hanif, S., & Nawaz, M. A. (2024). Economic complexity, green technologies and environmental degradation in world’s top polluting countries: Evidence from advance panel estimation. Pakistan Journal of Humanities and Social Sciences, 12(3), 2605–2615. DOI: https://doi.org/10.52131/pjhss.2024.v12i3.2481
Hansen, B. E. (2017). Regression kink with an unknown threshold. Journal of Business & Economic Statistics, 35(2), 228-240. DOI: https://doi.org/10.1080/07350015.2015.1073595
Hausmann, R., Hidalgo, C. A., Bustos, S., Coscia, M., Chung, S., Jimenez, J., & Yıldırım, M. A. (2014). The atlas of economic complexity. MIT Press.
International Energy Agency. (2024). CO2 emissions in 2023. Paris: IEA. https://www.iea.org/reports/co2-emissions-in-2023
IPCC. (2023). Climate Change 2023: Synthesis Report. Intergovernmental Panel on Climate Change.
Isik, M., & Devadoss, S. (2006). An analysis of the impact of climate change on crop yields and yield variability. Applied Economics, 38(7), 835–844. DOI: https://doi.org/10.1080/00036840500193682
Kaufmann, D., Kraay, A., & Mastruzzi, M. (2010). The worldwide governance indicators: Methodology and analytical issues (World Bank Policy Research Working Paper No. 5430). World Bank. https://hdl.handle.net/10986/3913
Levin, A., Lin, C. F., & Chu, C. S. J. (2002). Unit root tests in panel data: Asymptotic and finite-sample properties. Journal of Econometrics, 108(1), 1–24. DOI: https://doi.org/10.1016/S0304-4076(01)00098-7
Liu, P. Z., Narayan, S., Ren, Y. S., Jiang, Y., Baltas, K., & Sharp, B. (2022). Re-examining the income–CO2 emissions nexus using the new kink regression model: Does the Kuznets curve exist in G7 countries? Sustainability, 14(7), 3955. DOI: https://doi.org/10.3390/su14073955
Maneejuk, N., Ratchakom, S., Maneejuk, P., & Yamaka, W. (2020). Does the environmental Kuznets curve exist? An international study. Sustainability, 12(21), 9117. DOI: https://doi.org/10.3390/su12219117
Maneejuk, P., & Yamaka, W. (2025). Green complexity and its dual threshold effects: Balancing environmental impact and economic growth. Environmental Economics and Policy Studies, 28, 565–592. DOI:
https://doi.org/10.1007/s10018-025-00443-6
Mealy, P., & Teytelboym, A. (2020). Economic complexity and the green economy. Research Policy, 51(8), 103948. DOI: https://doi.org/10.1016/j.respol.2020.103948
Neagu, O. (2019). The link between economic complexity and carbon emissions in the European Union countries: A model based on the Environmental Kuznets Curve (EKC) approach. Sustainability, 11(17), 4753. DOI: https://doi.org/10.3390/su11174753
Osinubi, T. T. (2024). Does economic complexity influence carbon emissions? Evidence from Next Eleven countries. Economics and Culture, 21(1), 64–76. DOI: https://doi.org/10.2478/jec-2024-0005
Palason, K., Pol-ard, P., & Rattanasamakarn, T. (2024). Analyzing the Relationship between Economic Growth and Carbon Dioxide (CO2) Emissions in Thailand: An Application of the VAR Model. Journal of Management Science and Communication, 3(2), 1–28. retrieved from https://so07.tci-thaijo.org/index.php/jmsc_journal/article/view/5587
Ram, R. (1995). Economic development and income inequality: An overlooked regression constraint. Economic Development and Cultural Change, 43(2), 425-434. retrieved from http://www.jstor.org/stable/1154506
Tokpunar, S., & Dalgıç, B. (2024). Relationship between green complexity and carbon dioxide emissions: Evidence from global panel data. Polish Journal of Environmental Studies, 33(6), 6373-6387. DOI: https://doi.org/10.15244/pjoes/183854
Wang, E. Z., & Yang, M. (2022). Green complexity and CO2 emission: Does institutional quality matter? Energy Economics, 110, 106022. DOI: https://doi.org/10.1016/j.eneco.2022.106022
Wang, Z., Danish, Baloch, M. A., & Zhang, B. (2018). The dynamic relationship between economic growth, energy consumption, and CO2 emissions: The role of institutional quality in BRICS countries. Energy, 147, 304–317.
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