Tourism Management to Support MICE in Local Destination: the Evidence from Nakhon Nayok ‘s Stakeholder Perspective
Keywords:
MICE Tourism, Secondary City in MICE Business, Key Success factors in MICE Business, NakhonNayokAbstract
The objectives were to examine factors contributing to the success of MICE Industry at Nakhon Nayok and study the influence of level of the perception on Network Community Destination Attachment Social Economic Culture transmitted through the awareness of Community Participation and Entrepreneur regulation lead to the potential of successful developing MICE industry in in Nakhon Nayok Province. This study employed mixed research quantitative and qualitative methodologies. In the quantitative research, the data were collected with the use of questionnaire and analyzed with structural equation model. In the qualitative research, the Mice’s stakeholders were interviewed and analyzed by performing content analysis. The results indicated that Social Economic Culture have total influence on the Potential Achievement of MICE at Nakhon Nayok at level 0.362. In the part of the interstitial factor Entrepreneur Regulation has a negative influence on the Potential Achievement of MICE at the area, while the Community Participation to have a positive influence. In terms of qualitative research, it was found that all stakeholders have a positive attitude towards Nakhon Nayok Province that Nakhon Nayok is still a province with high potential in tourism due to the integrity of its resources. Stakeholders are of the opinion that the development to support new tourism, especially in a format that supports foreigners. Still requires further development in the long term.
From the research presented above, the MICE industry in Nakhon Nayok area can be made possible by the support of factors including the physical structure of the tourist attraction. And participation of stakeholders is important. However, as part of the entrepreneurial practice, local engagement is driven by co-influence from other factors.
References
Buzinde, C. N., Kalavar, J. M., & Melubo, K. (2014). Tourism and community welling: The case of the Maasai in Tanzania. Annals of Tourism Research, 44, 20-33.
Byrne, B. (1998). Structural Equation Modeling with LISREL, PRELIS and SIMPLIS: Basic Concepts, Applications and Programming. Mahwah. New Jersey: Lawrence Erlbaum Associates.
Davidson, R., Alford, P., & Seaton, T. (2002). The use of information and communications technology by the European meetings, incentives, conferences, and exhibitions (MICE) sectors. In Journal of Convention & Exhibition Management, 4, pp. 17-35.
Diamantopoulos, A., & Siguaw, J. A. (2000). Introducing LISREL. London: Sage Publications.
Diedrich, A., & García-Buades, E. (2009). Local perception of tourism as indicators of destination declines. Annals of Tourism Research, 36(4), 41-63.
Hankinson, G. (2005). Destination brand image: a business tourism perspective. Journal of Service Marketing, 19(1), 24-32.
Hu, L. T., & Bentler, P. M. (1999). Cutoff Criteria for Fit Indexes in Covariance Structure Analysis: Conventional Criteria Versus New Alternatives. Structural Equation Modeling, 6(1), 1-55.
MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power Analysis and Determination of Sample Size for Covariance Structure Modeling. Psychological Methods, 1(2), 130-149.
Miles, J., & Shevlin, M. (1998). Effects of sample size, model specification and factor loadings on the GFI in confirmatory factor analysis. Personality and Individual Differences, 25, 85-90.
Moyo, S., & Tichawa, T. (2017). Community involvement and participation in tourism development: a Zimbubwe study tourism review International 21. African Journal of hospitality Tourism and Leisure, 6(1).
Ratajczak-Mrozek, M. I. (2014). Cooperation, Innovations and Knowledge in MICE Tourist Product Perception. Journal of Convention Exhibition Management, 5(2), 41-50.
Schermelleh-Engel, K. M. (2003). Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures. Methods of Psychological Research Online, 8(2), 23-74.
Sharma, S., Mukherjee, S., Kumar, A., & Dillon, W. R. (2005). A simulation study to investigate the use of cutoff values for assessing model fit in covariance structure models. Journal of Business Research, 58(1), 935-943.
Slaper, T. F., & Hall, T. J. (2011). The triple bottom line: What is it and how does it work. Indiana Business Review, 86(1), 4-8.
Stanton, J. M. (2001). Galton, Pearson, and the peas: A brief history of linear regression for statistics instructors. Journal of Statistics Education, 9(3).
Sumithra, D., & Mishra, J. M. (2016). Efficacy of mice tourism industry and supply chain management as an integrated approach. International Journal of Management Research and Reviews, 6(7), 894-903.
Thailand Convention & Exhibition Bureau (Public Organization). (2018). MICE Business Overview: Meetings, Exhibitions Reward Travel. Bangkok: Thailand Convention & Exhibition Bureau (Public Organization) (In Thai).
Vandenberg, R. J. (2006). Statistical and Methodological Myths and Urban Legends. Organizational Research Methods, 9(2), 194-201.
Westland, J. C. (2010). Lower bounds on sample size in structural equation modeling. Electronic. Commerce Research and Applications, 9(6), 476-487.
Wheaton, B., Muthen, B., Alwin, D. F., & Summers, G. (1977). Assessing Reliability and Stability in Panel Models. Sociological Methodology, 8(1), 84-136.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 Institute of Research and Development, Suan Sunandha Rajabhat University

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
บทความที่ได้รับการตีพิมพ์เป็นลิขสิทธิ์ของ สถาบันวิจัยและพัฒนา มหาวิทยาลัยราชภัฎสวนสุนันทา
ข้อความที่ปรากฏในบทความแต่ละเรื่องในวารสารวิชาการเล่มนี้เป็นความคิดเห็นส่วนตัวของผู้เขียนแต่ละท่านไม่เกี่ยวข้องกับมหาวิทยาลัยราชภัฎสวนสุนันทา และคณาจารย์ท่านอื่นๆในมหาวิทยาลัยฯ แต่อย่างใด ความรับผิดชอบองค์ประกอบทั้งหมดของบทความแต่ละเรื่องเป็นของผู้เขียนแต่ละท่าน หากมีความผิดพลาดใดๆ ผู้เขียนแต่ละท่านจะรับผิดชอบบทความของตนเองแต่ผู้เดียว
ISSN 
