Supply Chain Management Model of Thai Traditional Medical Tourism

Jirawadee Intakarn, Worrapon Wangkananon

Abstract

The purpose of this study was to investigate the demands of the tourists in the supply chain of the Thai traditional medical tourism. The samples were 400 tourists in Thailand who used the services of the Thai traditional medical tourism. A confirmatory factor analysis (CFA) was conducted. The AMOS program was used. The research instruments were the questionnaires for obtaining the data about the Thai traditional medical tourism. There were four causal factors of the Thai traditional medical tourism: supply chain activities, supply chain firm’s performance, service quality and competitive advantage. The most important factor was the information technology supply chain, which affected the innovative competitiveness. The Thai traditional medical tourism was consistent with the empirical data: Chi-square = 71.228, Chi-square/df = 1.619, (df) = 44, p = 0.006, GFI = 0.982, CFI = 0.996, NFI = 0.990, IFI = 0.996, AGFI = .950, RMR = .009, and RMSEA = 0.36. Herbal remedies also occur in Thai traditional medical tourism. The remedies apply cannabis as an ingredient; for instance, cannabis leaves can be used for skin, blood, circulatory system, and tissue disorders. Furthermore, cannabis seeds are associated with the disorder of musculoskeletal system and wound. Moreover, cannabis inflorescence may be beneficial for treating the nervous system and mental illness.

 

Keywords: supply chain activities, Thai traditional medical tourism, logistics firm's performance, service quality, competitive advantage.


Full Text:

PDF


References


AL-AOMARA, R., & HUSSAIN, M. (2017). An assessment of green practices in a hotel supply chain: A study of UAE hotels. Journal of Hospitality and Tourism Management, 32, 71-81. http://dx.doi.org/10.1016/j.jhtm.2017.04.002

ALHARTHY, A.A.H., & MARNI, N.B. (2020). Training Impact on the Human Resources Performance. Journal of Southwest Jiaotong University, 55(3). https://doi.org/10.35741/issn.0258-2724.55.3.12

ALIMAN, N.K., HASHIM, S.M., WAHID, S.D.M., & HARUDIN, S. (2016). Tourists’ Satisfaction with a Destination: An Investigation on Visitors to Langkawi Island. International Journal of Marketing Studies, 8(3), 173-188. http://dx.doi.org/10.5539/ijms.v8n3p173

AMAT-LEFORT, N., MARIMON, F., & MAS-MACHUCA, M. (2020). Towards a new model to understand quality in collaborative consumption services. Journal of Cleaner Production, 266, 121855. http://dx.doi.org/10.1016/j.jclepro.2020.121855

ARVIS, J.F., OJALA, L., WIEDERER, C., SHEPHERD, B., RAJ, A., DAIRABAYEVA, K., & KIISKI, T. (2018). Connecting to compete 2018: trade logistics in the global economy. Washington, District of Columbia: World Bank. https://doi.org/10.1596/29971

ATAGUBA, J.E. (2020). COVID-19 pandemic, a war to be won: understanding its economic implications for Africa. Applied Health Economics and Health Policy, 18, 325–328. https://doi.org/10.1007/s40258-020-00580-x

BALOUEI JAMKHANEH, H., SHAHIN, A., PARKOUHI, S.V., & SHAHIN, R. (2022). The new concept of quality in the digital era: a human resource empowerment perspective. The TQM Journal, 34(1), 125-144. https://doi.org/10.1108/TQM-01-2021-0030

CRAIGHEAD, C.W., KETCHEN JR., D.J., & DARBY, J.L. (2020). Pandemics and Supply Chain Management Research: Toward a Theoretical Toolbox. Decision Sciences Journal, 51(4), 838–866. https://doi.org/10.1111/deci.12468

DELLANA, S., & KROS, J. (2018). ISO 9001 and supply chain quality in the USA. International Journal of Productivity and Performance Management, 67(2), 297-317. https://doi.org/10.1108/IJPPM-05-2015-0080

DEPARTMENT OF HEALTH SERVICE SUPPORT. (2017). Strategic Plan of the Department of Health Service Support for 20 Years (2017-2036). Nonthaburi: Ministry of Public Health.

GE, B., YANG, Y., JIANG, D., GAO, Y., DU, X., & ZHOU, T. (2018). An empirical study on green innovation strategy and sustainable competitive advantages: Path and boundary. Sustainability, 10(10), 3631. https://doi.org/10.3390/su10103631

GUPTA, K., & SINGH, N. (2020). Consumption Behaviour and Social Responsibility - A Consumer Research Approach. Singapore: Springer. http://dx.doi.org/10.1007/978-981-15-3005-0

GUZMAN, G.M., REYES, J.A., CASTRO, S.Y.P., & KUMAR, V. (2019). Innovation Capabilities and Performance: Are they truly linked in SMEs? International Journal of Innovation Science, 11(1), 48-62. https://doi.org/10.1108/IJIS-12-2017-0139

HAIR, J.F., BLACK, W.C., BABIN, B.J., & ANDERSON, R.E. (2018). Multivariate Data Analysis. 8th ed. Hampshire: Cengage Learning.

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. Thousand Oaks, California: Sage.

HANAFIAH, M., HEMDI, M., & AHMAD, I. (2016). Tourism destination competitiveness: towards a performance-based approach. Tourism Economics, 22(3), 629-636. https://doi.org/10.5367/te.2014.0446

HONG, Q., FÀBREGUES, S., BARTLETT, G., BOARDMAN, F., CARGO, M., DAGENAIS, P., GAGNON, M., GRIFFITHS, F., NICOLAU, B., O’CATHAIN, A., ROUSSEAU, M., VEDEL, I., & PLUYE, P. (2018). The Mixed Methods Appraisal Tool (MMAT) Version 2018 for Information Professionals and Researchers. Education for Information, 34(4), 285-291. https://doi.org/10.3233/EFI-180221

ISSICHAIKUL, R., & CHANSWANG, R. (2017). The Study of Potentiality of Thai Spa Enterprises. Journal of Modern Management, 14(1), 17-31.

IVANOV, D. (2020). Predicting the impacts of epidemic outbreaks on global supply chains: a simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case. Transportation Research Part E: Logistics and Transportation Review, 136, 101922. https://doi.org/10.1016/j.tre.2020.101922

JOVANOVIĆ, M., MAS, A., MESQUIDA, A.-L., & LALIĆ, B. (2017). Transition of organizational roles in agile transformation process: A grounded theory approach. The Journal of Systems and Software, 133(11), 174-194. https://doi.org/10.1016/J.JSS.2017.07.008

KINRA, A., IVANOV, D., DAS, A., & DOLGUI, A. (2020). Ripple effect quantification by supplier risk exposure assessment. International Journal of Production Research, 58(18), 5559-5578. http://dx.doi.org/10.1080/00207543.2019.1675919

LIAO, S., HU, D., & DING, L. (2017). Assessing the influence of supply chain collaboration value innovation, supply chain capability and competitive advantage in Taiwan's networking communication industry. International Journal of Production Economics, 191, 143–153. https://doi.org/10.1016/J.IJPE.2017.06.001

LUNKHAM, P., & LIANGCHAN, R. (2021). Research Intelligence: Tourism and Hotel Business behind COVID-19. Bangkok: Krungsri Research Center. Retrieved from https://www.krungsri.com/th/research/research-intelligence/ri-future-of-tourism-21

MULYANA, A., & AYUNI, D. (2019). Modeling Service Quality: The Impacts of Visitor Loyalty on Culinary Tourism. Review of Integrative Business and Economics Research, 8(Supplementary Issue 1), 47-63. Retrieved from http://buscompress.com/uploads/3/4/9/8/34980536/riber_8-s1_04_s18-032_47-63.pdf

OFFICE OF THE PERMANENT SECRETARY, MINISTRY OF TOURISM AND SPORTS. (2020). COVID-19 and its impact on Thai tourism. Bangkok: Office of the Permanent Secretary, Ministry of Tourism and Sports.

SHAHIN, A., & RAZAVI, M. (2020). Gap analysis in supplier sustainable development - with a case study in healthcare service. International Journal of Procurement Management, 13(3), 419-441. http://dx.doi.org/10.1504/IJPM.2020.107476

SZPILKO, D. (2017). Tourism Supply Chain-Overview of Selected Literature. Procedia Engineering, 182(9), 687-693. https://doi.org/10.1016/J.PROENG.2017.03.180

TUSSYADIAH, I. (2020). A review of research into automation in tourism: Launching the annals of tourism research curated collection on artificial intelligence and robotics in tourism. Annals of Tourism Research, 81, 102883. https://doi.org/10.1016/j.annals.2020.102883

UM, K.H., & KIM, S.M. (2019). The effects of supply chain collaboration on performance and transaction cost advantage: the moderation and nonlinear effects of governance mechanisms. International Journal of Production Economics, 217, 97–111. https://doi.org/10.1016/j.ijpe.2018.03.025

WAMBA, S.F., GUNASEKARAN, A., AKTER, S., REN, S.J.F., DUBEY, R., & CHILDE, S.J. (2017). Big data analytics and firm performance: effects of dynamic capabilities. Journal of Business Research, 70, 356-365. https://doi.org/10.1016/J.JBUSRES.2016.08.009

WANG, J., & DAI, J. (2018). Sustainable supply chain management practices and performance. Industrial Management & Data Systems, 118(1), 2–21. https://doi.org/10.1108/IMDS-12-2016-0540

WARDANI, W.N.R., & WIDODO. (2020). Religious Cultural Reputation Effects on Sustainable Tourism Destinations. Journal of Southwest Jiaotong University, 55(4). https://doi.org/10.35741/issn.0258-2724.55.4.26


Refbacks

  • There are currently no refbacks.