MODELLING INTENTION TO VISIT WORLD MONUMENT FUNDED SITE

Abstract

World Monument Fund (WMF) spent USD 50,000 I preserving historical value in Kampung Cina Kuala Terengganu Malaysia, and this site has been put on the WMF watch list in 1998,2000, and 2002. To support the effort initiated by the WMF, local government and local community has taken various efforts to ensure that the Kampung Cina will become a major tourist attraction in Terengganu and Malaysia itself. With advancement in a networking technology and new style of marketing with electrical tools, this study will try to understand the influence of electronic word of mouth (eWOM) and the variables representing the theory of reason action, towards the intention to visit this WMF site. Many studies has been conducted on the effect of eWOM on the intention to visit, but mostly on the world heritage site. A quantitative approach using self-administered questionnaire was applied. Within March and April 2017, questionnaire were distributed among 155 international tourist at this site. Only 123 can be used for testing the model. The result shows that attitude and subjective norm have a positive relationship with the intention to adopt. Meanwhile, the hypothesis for eWOM was not supported. This findings is valuable to the government and also to the tourism community for them to create a better marketing strategy for this site.

Keywords

• Theory of Reason Action1,Electronic Word of Mouth2,Intention to Visit3

References

1. Abubakar, Abubakar Mohammed, (2016), “Does eWOM influence destination trust and travel intention: a medical tourism perspective”. Economic ResearchEkonomska Istraživanja, Vol 30, No 1, pp 598-611.
2. Ajzen, Icek. (1991), “The theory of planned behavior” Organizational Behavior and Human Decision Processes, Vol 50, No 2, pp 179-211.
3. Albarq. N Abbas.(2013), “Measuring the Impacts of Online Word-of-Mouth on Tourists’ Attitude and Intentions to Visit Jordan: An Empirical Study”, International Business Research, Vol 7, No 1, pp 14-22.
4. Barclay, D.W., Thompson, R. and Higgins, C. (1995), “The partial least squares (PLS) approach to causal modeling: personal computer adoption and use an illustration”. Technology Studies, Vol 2, No 2, pp 285-309.
5. Cain, Meghan, Zhang, Ziyong, & Yuan, Kei Hai. (2016), “Univariate and multivariate skewness and kurtosis for measuring non-normality: Prevalence, influence and estimation”, Behavior Research Methods, doi:10.3758/s13428-016- 0814-1
6. Chatterjee, Patrali., (2001), “Online reviews: do consumers use them?”, In: Gilly, M.C., MyersLevy, J. (Eds.), ACR 2001 Proceedings. Association for Consumer Research. Provo, UT, pp. 129–134.
7. Chen, Yu Chen., Shang, Rong An., & Li, Ming Jin. (2014), “The effects of perceived relevance of travel blogs’ content on the behavioral intention to visit a tourist destination”, Computers in Human Behavior, Vol. 30, pp. 787–799.
8. Diamantopoulos, Adamantios. and Siguaw, Judy. .A. (2006), “Formative versus reflective indicators in organizational measure development. A comparison and empirical illustration”, British Journal of Management, Vol. 7,No. 4, pp. 263 - 282.

9. Faul, Franz., Erdfelder, Edgar., Lang, Albert.-George., and Buchner, Axel. (2007), “G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences”, Behavior Research Methods, Vol. 39,pp. 175-191.
10. Fishbein, Martin., and Ajzen, Icek. (1975), Belief, attitude, intention and behavior: An introduction to theory and research, Reading, MA: Addison-Wesley.
11. Fornell, Claes. & Larcker, David. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.
12. Gefen, David., Rigdon, Edward. E., and Straub, Detmar. (2011), “An Update and Extension to SEM Guidelines for Administrative and Social Science Research. MIS Quarterly”, Vol. 35, No. 2, iii-A7.
13. Gholami, Roya., Sulaiman, Ainin., Ramayah, Thurasamy. and Molla, Alemayehu. (2013), “Senior managers’ perception on green information systems (IS) adoption and environmental performance: results from a fild survey”, Information and Management, Vol. 50, No. 7,pp. 431-438.
14. Han, Heesup., Meng, Bo., & Kim, Wansoo (2017), “Emerging bicycle tourism and the theory of planned behavior, Journal of Sustainable Tourism”, Vol. 25, No2,pp. 292-309, DOI: 10.1080/09669582.2016.1202955.
15. Hair, Joseph. F., Thomas, G., Hult, M., Ringle, Cristian. M., and Sarstedt, Marko. (2017). A Primer on Partial Least Squares Structural Equation Modeling (2nd ed.). Thousand Oakes, CA: Sage.
16. Henseler, Jorg., Ringle, Cristian. M., & Sarstedt, Marko (2015), “A new criterion for assessing discriminant validity in variance-based structural equation modelling” , Journal of the Academy of Marketing Science, Vol. 43, No. 1, pp. 115-135
17. Jalilvand, Mohammad Reza. and Samiei Neda. (2012), “The Effect of electronic word of mouth on brand image and purchase intention: An empirical study in the automobile industry in Iran” , Journal of marketing Intelligence & Planning, Vol. 30, No. 4, pp. 460-476.
18. Kline, Rex. B. (2011). Principles and practice of structural equation modeling. New York: Guilford Press.
19. Luo, Qiuju and Zhong, Dixi.(2015), “Using social network analysis to explain communication characteristics of travel-related electronic word-of-mouth on social networking sites”, Tourism Management, Vol. 46, pp. 274-282.
20. Miao, Yulin (2015), “The influence of electronic-wom on touristss’ behavioral intention to choose a destination: a case of chinese touristss visiting thailand”, Au -GSB-E Journal, Vol. 8, No. 1, pp. 113-31.
21. Ringle, Cristian .M., Wende, S., & Becker, Jan-Micheal. (2015). SmartPLS 3, www.smartpls.com.
22. Podsakoff, M. Philip and Mackenzie, Scott .B. (2003), “Common method biases in behavioral research: a critical review of the literature and recommended remedies”, Journal of Applied Psychology, Vol.88, No. 5, pp. 879-903.
23. Shen, Suyan., Schüttemeyer, Anke and Braun, Boris (2009), “Visitors' intention to visit world cultural heritage sites: an empirical study of suzhou, china”, Journal of Travel & Tourism Marketing, Vol. 26, No. 7, pp. 722-734.
24. Xiaofei Zhang., Xitong, Guo., Kee-hung. Lai, Feng. Guo, and Chenlei Li, BS. (2014), “Understanding Gender Differences in m-Health Adoption: A Modified
25. Theory of Reasoned Action Model”, Telemedicine and e-Health. Vol. 20, No.1, pp.39-46.
26. Kim, Soujung., Lee, Joonghwa and Doyle Yoon (2015), “Norms in Social Media: The Application of Theory of Reasoned Action and Personal Norms in Predicting Interactions With Facebook Page Like Ads”, Communication Research Reports, Vol. 32, No.4, pp. 322-331, DOI: 10.1080/08824096.2015.1089851.