THE STUDY OF SUPPLY CHAIN AND DATA MODEL OF TOURISM INDUSTRY IN THAILAND
Keywords:
Tourism Supply Chain, Thailand Tourism, Data ModelAbstract
The rise in Thai tourism industry has played important role for Thailand GDP growth in the last decade. Hence it is very pertinent for every stakeholder within the tourism supply chain to synchronously collaborate with one another to create a sustainable and harmonize tourism supply chain management. This study provided a holistic view of the Thai tourism supply chain, which includes all stakeholders and how they collaborated with one another by sharing integrative and relevant data. The data sharing activities proved to be very useful for the industry since major and minor stakeholders can increase both their efficiency and effectiveness in running their business by sharing their valuable data with each other.
From our study, the researchers found that there are 6 groups of relevance stakeholder that consist of 1) Hotel and accommodations, 2) Travel agents, 3) Tourism government agents, 4) Recreational activities companies, 5) Food and restaurants and 6) Transportation companies. The researchers concluded that there are only 2 groups within the tourism supply chain that extensively share relevance information with one another. These two groups are Hotel accommodations and travel agents. In addition, The lack of effective collaboration between other stakeholders within the value chain can be contribute from 1) asymmetric information amongst the 6 stakeholders, 2) the complicated context and cultural complexity and 3) the rapid changes of the information technology that contribute to the information exchanges and collaboration amongst all stakeholders. The researchers also analyzed and developed a Thai tourism information exchange model by accumulating all stakeholders and their needs of data within the tourism supply chain.
References
จิตราภา กุณฑลบุตร. (2009). การจัดระบบข้อมูลและสารสนเทศทางการศึกษาในโรงเรียน. สืบค้นเมื่อ 24 กรกฎาคม 2011, http://www.chittrapa.net/index.php?option=com_content&task=view&id=35&Itemid=51
ฉลองศรี พิมลสมพงศ์. (2005). การวางแผนและพัฒนาตลาดการท่องเที่ยว.กรุงเทพฯ: สำนักพิมพ์มหาวิทยาลัยเกษตรศาสตร์.
บุญเลิศ จิตตั้งวัฒนา. การตลาดท่องเที่ยว (Tourism Marketing) สืบค้นเมื่อ 10 กรกฎาคม 2011, http://www.shef.ac.uk/library/libdocs/hsldvc1.pdf.
เมธา ชำนิ. (2001). แบบจำลองอุปสงค์ของการท่องเที่ยว:ปัจจัยที่มีผลต่อรายได้จากนักท่องเที่ยวต่างชาติของประเทศไทย. ระดับ.วิทยานิพนธ์มหาบัณฑิต, สาขาวิชาเศรษฐศาสตร์และการเงินระหว่างประเทศ บัณฑิตวิทยาลัย, จุฬาลงกรณ์มหาวิทยาลัย.
Beamon, B. M. (1998). Supply Chain Design and Analysis: Models and Methods, International Journal of Production Economics , 55(3), p. 281-294.
Buhalis, D. (1998). Strategic use of information technologies in thetourism industry. Tourism Management, 19(5), p. 409–421.
Buhalis, D. (2003). eTourism: Information technology for strategic tourism management. Pearson, Financial Times: Prentice-Hall.
Buhalis, D. and Law, R. (2008). Progress in information technology and tourism management: 20 years on and 10 years after the Internet - The state of eTourism research. Tourism Management, Vol. 29, p. 609–623.
Chaitip, P. and Rangaswamy, N. and Chaiboonsri C. (2006). VECM Model and Modeling International Tourism Demand in Thailand. In: Proceedings of The 7th Asia Pacific Industrial Engineering and Management Systems Conference. Bangkok, Thailand, December 17-20, 2006.
Chaitip, P. et al. (2010). A Structural Equation Model: Greece’s Tourism Demand for Tourist Destination. APSTRACT (Applied Studies In Agribusiness And Commerce), 4(1-2), p. 75-83.
Chaovanapoonphol Y. et al. (2010). Time Series Modelling of Tourism Demand from the USA, Japan and Malaysia to Thailand. University of Canterbury, Department of Economics and Finance.
Claveria, O. and Datzira, J. (2010). Forecasting tourism demand using consumer expectations. Tourism Review, 65(1), p. 18-36.
Christopher, M. (2005). Logistics and Supply Chain Management: Creating Value-Adding Network 3rd ed, Harlow: Prentice-Hall.
Fodness, D., & Murray, B. (1997). Tourist information search. Annals of Tourism Research, 24(3), p. 503–523.
Giacomelli, A. (2006). Tourism Demand.Ph.D. dissertation at the University of Insubria, Italy.
Haliciglu, F. (2004). An ARDL Model of International Tourist Flows to Turkey. Global Business and Economics Review 2004 Anthology, p.614-624.
Hruschka H. and Mazanec.J. (1990). Computer-assisted travel counseling, Annals of Tourism Research 17, p. 208–227.
Jafari, J. (1974). The components and nature of tourism: The tourism market basket of goods and services. Annals of Tourism Research, 1(3), p. 73-89.
Jakkilinki, R., Georgievski, M., and Sharda, N. (2007). Connecting destinations with an ontology-based e-tourism planner. In M. Sigala, L. Mich, & J. Murphy (Eds.), Information and communication technologies in tourism 2007. p. 21–32. Springer Wien.
Kandampully, J. (2000). The impact of demand fluctuation on the quality of service: a tourism industry example, Managing Service Quality, 10, p.10 – 19.
Kampala, R. New-Product Development in Tourism Companies – Case studies on Nature-based Activity Operations,10th Nordic Tourism Research Symposium. Finland, October 18-20 2001.
Lambert, M.D. and Cooper, M.C. (2000). Issues in Supply Chain Management. Industrial Marketing Management Vol. 29, p. 65–83.
Lee, Y.T. and Umeda, S. (2000). An IDEF1x Information Model for a Supply Chain Simulation. [WWW] NIST. Available from: http://www.mel.nist.gov/msidlibrary/doc/idefx.pdf. [Accessed 24/07/11].
Livi, E. (2008). Information technology and new business models in the tourism industry in: Proceedings of the 8th Global Conference on Business & Economics, October 18 – 19, 2008, Florence, Italy
Loban S.R., (1997). A framework for computer-assisted travel counseling, Annals of Tourism Research, 24(4), p. 813–834.
Lohmann, M. (2004). New Demand Factors in Tourism. In: Proceedings of the European Tourism Forum, October 15, 2004, Budapest, Hungary.
Maedche, A., and Staab, S. (2003). Services on the move: Towards P2Penabledsemantic web services. In A. Frew, P. O’Connor, & M. Hitz (Eds.), Information and communication technologies in tourism 2003.ENTER 2003 proceedings. p. 124–133. New York: Springer Wien.
March, R., and Wilkinson, I. (2009). Conceptual tools for evaluating tourism partnerships. Tourism Management 30, p. 455-462.
Mills, J., and Law, R. (2004). Handbook of consumer behaviour, tourism and the Internet. New York: Harworth Hospitality Press.
Morrison, A. M., Jing, S., O’Leary, J. T., & Lipping, A. C. (2001).Predicting usage of the Internet for travel bookings: An exploratory study. Information Technology & Tourism, 4(1), p. 15–30.
O’Connor, P. (1999). Electronic information distribution in tourism and hospitality. Wallingford: CAB.
O’Connor, P., and Frew, A. (2001). Expert perceptions on the future on hotel electronic distribution channels. In P. J. Sheldon, K. W. Wober, & D. R. Fesenmaier (Eds.),Information and communication technologies in tourism 2001 p. 346–357. New York: Springer Wien.
Pease, W.R., Rowe, M. and Copper, M. (2007). Information and Communication Technologies in Support of the Tourism Industry. Idea Group Publishing, United Kingdom.
Pender, L. and Sharpley, R. (2005). The Management of Tourism. London: SAGE Publications Ltd.
Piboonrungroj, P. and Disney, S.M. Tourism Supply Chains: A Conceptual Framework, Exploring Tourism III: Issue in PhD Research. In: Proceeding of the PhD Networking Conference, July 2009. Christel DeHaan Tourism and Travel Research Institute.
Song, H. Witt, SF. and Li, G. (2003) Modeling and forecasting the demand for Thaitourism. Tourism Economics, 9(4), p.363 - 387.
Tapper, R. and Font, X. (2004).Tourism supply chains. Report of a desk research project for the travel foundation. p. 23.Leeds Metropolitan University.
UNWTO.(2008). UNWTO World Tourism Barometer [Online] UNWTO. Available from http://mkt.unwto.org/en/barometer.htm [Accessed: 20 July 2011].
UNWTO.(2009). Tourism: Creating Opportunities in Challenging Times. UNWTO news: Magazine of the World Tourism Organization XXIII.
Venturini, A., and Ricci, F. (2006). Applying Trip@dvice recommendation technology to www.visiteurope.com, 4th prestigious applications of intelligent systems (PAIS-2006). The 17th European Conference on Artificial Intelligence, Riva del Garda, Italy, Aug 28th–Sept 1st, 2006.
Werthner, H., and Ricci, F. (2004). E-Commerce and tourism. Communicationsof the ACM, 47(12), 101–105.
Xinyue, H. (2007). Integrated Tourism Service Supply Chain Management System Basedon SOA. [Online] The Index of Science &Engineering .Available from http://www.seiofbluemountain.com/upload/product/201001/1264392050gkprsnra.pdf. [Accessed 24/07/11].
Zhang, Y. and Murphy, P. (2009). Supply-chain considerations in marketing underdeveloped regional destinations: A case study of Chinese to Goldfields region of Victoria. Tourism Management, 30(2), p. 278-287.
Downloads
Published
How to Cite
Issue
Section
License
Content and information of the article published at Suthiparithat Journal are based on the sole opinions and responsibility of author(s) only. Neither the editorial board involve in......
