Factors Affecting Local Tourist’s Intention to Use Online Tourism Platform

Authors

  • Luo Haiyan International College, Maejo University, Thailand
  • Jirachai Yomkerd International College, Maejo University, Thailand
  • Winitra Leelapattana International College, Maejo University, Thailand
  • Prayong Kusirisin International College, Maejo University, Thailand

Keywords:

Online travel platform, intention to use, Factors affecting

Abstract

This research takes users who use online travel platforms among tourists to Guangxi as the research object and studies the main factors affecting local tourists’ intention to use online tourism platforms. Combining the theories of perceived usefulness, perceived ease of use, perceived entertainment, opinion leader, herd mentality, and the characteristics of online tourism platforms, an influencing factor model of local tourists' intention to use online tourism platforms was established. Five hundred twelve valid questionnaires were collected through a questionnaire survey, and SPSS24.0 data analysis software was used for data analysis.
This research uses age, gender, and income as control variables. The results show that perceived usefulness, perceived ease of use, perceived entertainment, opinion leaders, and herd mentality have a direct and positive impact on local tourists' intention to use online travel platforms. The most critical factor affecting local tourists' intention to use online travel platforms is perceived entertainment (β=0.194); Herd mentality (β=0.138) has a more significant impact on local tourists’ intention to use online travel platforms than opinion leaders (β=0.129). Given the above research conclusions, this paper proposes two ideas of “focusing on perceived usefulness, perceived ease of use, and perceived entertainment” and “extensive use of opinion leaders and herd mentality” to improve tourists’ intention to use online travel platforms, hoping to provide reference for decision makers of online travel platforms and government tourism departments.

References

Assaker, G., Hallak, R., & El-Haddad, R. (2020). Consumer usage of online travel reviews: Expanding the unified theory of acceptance and use of technology 2 model. Journal of Vacation Marketing, 26(2), 149-165.

Ayeh, J. K., Au, N., & Law, R. (2013). Predicting the intention to use consumer-generated media for travel planning. Tourism management, 35, 132-143.

Banerjee, A. V. (1992). A simple model of herd behavior. The quarterly journal of economics, 107(3), 797-817.

Baoguo, Z. & Yao, Y. (2017). Research on the Influencing Factors of Users' intention to continue to use Knowledge Payment Apps. Research on Library Science. (17) 96- 101.

Bo, L. (2017). “Tourism + Internet” integrated development strategy research. Economic and Social Development, 15(3), 5-8.

Bhattacherjee, A., Perols, J., & Sanford, C. (2008). Information technology continuance: A theoretic extension and empirical test. Journal of Computer Information Systems, 49(1), 17-2.

Caixia, L. & Daosheng, L. (2020). Cultural Openness and Conformity of Consumers' Choice of Cross-border Online Shopping Platforms. Journal of Ningxia University (Humanities & Social Sciences Edition), 42, 04.

Changfa, M. & Tingting, W. (2020). Willingness and influencing factors to quit the suburban homestead in the western region. Development Research, 1, 115-122.

Chuncheng, L. & Shiqiang, W. (2019). The occurrence and governance of policy rumors. Administrative Forum, 26(2).

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.

Dingkun, Z. (2020).Research on Influencing Factors of User Promotion of Short Video Social Software. Yunnan: Yunnan University of Finance and Economics.

Gorsuch, R. L. (1988). Exploratory factor analysis. In Handbook of multivariate experimental psychology (231-258).

Boston: Springer. Gorsuch, R. L. (1988). Exploratory factor analysis. In Handbook of multivariate experimental psychology (231-258).

Boston: Springer. Harrison, D A, Peter P M, & Cynthia K.R.(1997). Executive decision about adoption of information technology in small business: Theory and Empirical Tests. Information Systems research,8(2),171-195.

Huicui, Q. & Xiaoqing, C. (2020). TAM’s mobile short video platform users' willingness to continue to use. Electromechanical Information, 11(32), 101-103.

Huiwen, Z., Zhenyi, L., Xia, S., & Yuepeng, T. (2020). College Students' Credit in the Digital Age Evaluation System Design. Co-Operative Economy & Science. (15) 188- 192.

Jianping, W. (2020). Research on the Influence of Personalized Service of Online Travel Agent APP on Users' Continued Use Behavior. Jiangxi: Jiangxi University of Finance and Economics.

Jin, S., Baozhu, L., & Shaoling, W. (2019). The profit model of the online travel strategy platform. Fortune Today, 6, 52-53.

Junyue, L., Wanxin, L., Junfeng, L., & Qiaoling, Z. (2020). Research on the Influence of Internet Opinion Leaders on Consumers' Purchase Intention Based on SOR Model. Journal of Chongqing University of Technology (Social Science), 34(6), 70-79.

Junzhi, Z. (2019). Research on Integrated Tourism Marketing of Nanning City under the Background of New Media. (Master of Arts, Social Development Program, Graduate school).

Qingxiu: Guangxi University. Lascu, D. N., & Zinkhan, G. (1999). Consumer conformity: review and applications for marketing theory and practice. Journal of Marketing Theory and Practice, 7(3), 1-12.

Lam, J. M., Ismail, H., & Lee, S. (2020). From desktop to destination: User-generated content platforms, co-created online experiences, destination image and satisfaction. Journal of Destination Marketing & Management, 18, 100490.

Lalicic, L., & Dickinger, A. (2019). An assessment of user-driven innovativeness in a mobile computing travel platform. Technological Forecasting and Social Change, 144, 233–241.

Lan, P., Bisui, L., Min, F., & Me, C. (2016). A Study on the Intention to Use Travel Apps in the Background of Smart Tourism. Tourism Tribune, 31(11), 65-73.

Li'an, H. (2019). Analysis of the innovative path of regional traditional culture dissemination——Taking the dissemination of Guangxi Zhuang nationality “March 3” cultural festival as an example. Media,15, 80-82.

Lieberman, J. N. (2014). Playfulness: Its relationship to imagination and creativity. Massachusetts: Academic Press.

Lizhi, X. (2019). A Study on the Influencing Factors of Zhihu Platform Users' Willingness to Pay. Journal of Yan'an University (Natural Science Edition),38(3)

Lu, Q. (2021). Research on the Impact of Online Travel Platform UGC on User Usage Depth. Frontiers in Economics and Management, 2(7), 209-213.

Moon J W., & Kim Y G. (2001). Extending the TAM for a World-Wild-Web Context. Information & Management., 38(2), 217-230.

Na, L. (2018). Research on the integrated development strategy of rural tourism and targeted poverty alleviation under the background of tourism e-commerce +. Tourism Forum,11(6), 92-98.

Qingguang, G. (2011). Communication Studies Course. Beijing: China Renmin University Press.

Rui, G. (2020). User research on mobile short videos. Shaanxi: Xi’an Polytechnic University.

Ruoran, X. (2021). Research on User Behavior of Smart Tourism Service Platform - Based on UTAUT Model Economics and Management Research. Research on Economics and Management, 06-0093-13.

Tianyi, L. & Bo, L. (2019). A Study on Continued Use of Content Sharing Travel App Users—Taking Mafengwo as an Example. E-Commerce, 3, 5-9.

Rauniar, R., Rawski, G., Yang, J., & Johnson, B. (2014). Technology acceptance model (TAM) and social media usage: an empirical study on Facebook. Journal of Enterprise Information Management, 27(1), 6-30.

Shinan, F. (2019). Research on the role of opinion leaders in cyber ideological security. Journal of Nanjing Normal University (Social Science Edition), 10, 45-51.

Shouhua, Y., Wenfu, L., & Qingjuan ,T. (2019). Research on the user behavior of agricultural e-commerce based on UTAUT: Taking the Pearl River Delta as an example. Research on Science and Technology Management. (8): 183-188.

Sun, H. (2013). A longitudinal study of herd behavior in the adoption and continued use of technology. MIS Quarterly, 1013-1041.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478.

Wenchang, L. (2018). Research on the Influencing Factors of Consumers’ Purchase Intention in the Jinggong E-commerce Platform. Beijing: Beijing University of Posts and Telecommunications.

Wentao, Q. (2020). Analysis of the influencing factors of postgraduates’ willingness to use Internet financial wealth management products-Taking Urumqi as an example. Hebei Enterprises, 9, 70-71.

Wong, E., Rasoolimanesh, S. M., & Sharif, S. P. (2020). Using online travel agent platforms to determine factors influencing hotel guest satisfaction. Journal of Hospitality and Tourism Technology, 11(3), 425-445.

Workman, M., (2014). New media and the changing face of information technology use: The importance of task pursuit, social influence, and experience. Computers in Human Behavior, 31, 111-117.

Xi, X. (2019). The operating model and future development suggestions of the tourism mobile operating platform-taking Ctrip, Lv Mama, Tuniu as examples. Chinese & Foreign Entrepreneurs, 34, 178-179.

Xia, M., Zhang, Y, & Zhang, C. (2018). A TAM-based approach to explore the effect of online experience on destination image: A smartphone user's perspective. Journal of Destination Marketing & Management, 8, 259.-270.

Xiajiao, Z. (2017). A Study on User Acceptance Behavior of Travel App Based on DTPB Model. Nanjing: Southeast University.

Xiaoxiao, J. (2018). Research on Mobile Payment Willingness Based on Technology Acceptance Model. Hubei: Central China Normal University.

Xiaoyu, C. (2020). An Empirical Study on the Impact of Opinion Leaders in Tourism Virtual Communities on Community Members' Participation Behavior: Based on the Moderating Role of Platform Website Trust. Liaoning: Dongbei University of Finance and Economics.

Xueqin, Z. & Shaochun, W. (2019). The Influencing Factors of WeChat Mini Program Users' Intention to Use Continuously. Journal of Modern Information, 39(6).

Yadi, W. (2019). The Impact of the Homestay Economy on the Review of Scenic Spots on Online Travel Platforms: Taking Chengdu as an example. Heilongjiang: Harbin Institute of Technology.

Yanfeng, Y. (2021). Internet technology has become the main driving factor of tourism industry integration and new formats. Tourism Tribune, 27(9), 7-8.

Yao, T .(2018). Research on online hotel booking behavior of Chinese and foreign consumers based on electronic word of mouth: Taking hotels in Guilin as an example. Guangxi: Guangxi University.

Ying, F. & Xin Jie, H. (2020). Research on Influencing Factors of Douyin Short Video Users' intention to Use. Science and Education,8, 61-71.

Yinfu, Y. (2016). Research on Influencing Factors of MOOC Users' Continued Use Behavior. Open Education Research, 22(1).

Yun, W. & Guangwei, H. (2014). A study on the public acceptance model of government social media. Journal of Intelligence, 33(2), 177-182.

Zhangpeng, Z. (2019). An empirical study on the continuous use of travel booking mobile applications (APP) from the perspective of experience. Zhejiang: Zhejiang University of Technology.

Zhenlong, X. (2015). Analysis of the reasons and countermeasures for the spread of military-related Internet rumors from the perspective of psychology. Campus Psychology, 13(5), 332-335.

Zhijie, Z. & Tingjie, L. (2012). An Empirical Study of Mobile LBS User Acceptance Model. Journal of Beijing University of Posts and Telecommunications (Social Sciences Edition), 14(1), 56-61.

Zhu, L. (2020). The influence of emotion on the perceived usefulness of online reviews. Chongqing: Chongqing University of Posts and Telecommunications.

Downloads

Published

2023-05-08

How to Cite

Haiyan, L., Yomkerd, J., Leelapattana, W., & Kusirisin, P. (2023). Factors Affecting Local Tourist’s Intention to Use Online Tourism Platform. Journal of Multidisciplinary in Social Sciences, 18(2), 21–32. Retrieved from https://so03.tci-thaijo.org/index.php/sduhs/article/view/268293

Issue

Section

Original Articles