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ISSN : 2233-4165(Print)
ISSN : 2233-5382(Online)
The International Journal of Industrial Distribution & Business Vol.9 No.5 pp.47-62

A Study on the User’s Sustainable Intention of Mobile Tourism : Focused on Chinese Tourists Visiting Korea

Shang Guan-Jin Long**, Uk-Yeol Park***, Jong-Ho Lee ****
** First Author, Master of E-Commerce, Kongju National University, Korea.
*** Co-Author, Ph.D. student, Dept. of Electronic Commerce, Kongju National University, Korea.
**** Corresponding Author, Department of Business Information Education, Kongju National University, Korea. Tel: +82-41-850-8257
March 15, 2018. May 6, 2018. May 15, 2018.


Purpose - Based on preceding studies, this thesis focuses on the finding of the definition and category of mobile tourism application and deriving out its characteristics. And after looking for how they make influences on continuous intention to use, we make empirical study with TAM model.
Research design, data, and methodology - There are many Chinese tourist who visit Korea with user's constant intention to use of tourism application. This study is to find out the definition and category of mobile tourism application through research of preceding study and to fomulate the research model and hypothesis that how tourism application attributes (convenience, interaction, accessibility, local basis, security) affect constant intention to use of mobile tourism application. In order to verify a hypothesis, we conducted a survey for Chinese users of tourism application. In empirical study, we analyzed a structure model for frequency analysis, reliability analysis, exploratory factor analysis, validity analysis through IBM SPSS Statistics 21.0 and IBM SPSS AMOS 21.0
Results - Among tourism applications, convenience, interaction, accessibility and local basis have positive effects on both perceived usefulness and perceived easiness respectively. But security does not. Also perceived easiness has a positive effect on perceived usefulness. Finally, perceived usefulness and perceived easiness have positive effect on constant intent to use.
Conclusions - Tourism application enterprises should put emphasis on design such as menu or function in order to simplify the operation of new services for new customers. Therefore, comfortable user interface and development of useful function can improve tourism application. Consequently, it leads to the promotion of tourism application. Also, when users perceive tourism application as a useful media which is easy, comfortable and useful content, the degree of constant intention to use becomes increased. It is important to provide plentiful and useful contents for customers and to develop user interface such as easy operation because these factors have positive effects on constant demand and use of tourism application.

JEL Classifications: M10, M15, M19.

모바일 관광 애플리케이션 사용자의 지속적 사용의도에 미치는 영향 : 방한 중국관광을 중심으로

상관금용, 박욱열, 이종호





  1. Ariely, K. (2000). Wine Online: Search Cost and Competition on Price, Quality, and Distribution. Marketing Science, 19(Winter), 83–103.
  2. Buhalis, D., & Law, R. (2008). Progress in information technology and tourism management: 20 years on and 10 years after the Internet - The state of e-Tourism research. Tourism Management, 29(4), 609-623.
  3. Charles, W. A. (2009). The ascent of smart phone. Engineering & Technology, 4(3), 32-33.
  4. Cho, D. H., & Leckenby, J. D. (1999). Interactivity as a Advertising Effectiveness, Unpublished Working Paper, 7-9.
  5. Cho, H. J., & Chen X. (2011). An Empirical Study of Consumers’ Smartphone Purchase Intentions in Korea and China. Journal of Asia-Pacific studies, 18(2), 145-169.
  6. Dickinson, J. E., Ghali, K., Cherrett, T., Speed, C., Davies, N., & Norgate, S. (2012). Tourism and the smart phone app: Capabilities, emerging practice and scope in the travel domain. Current Issues in Tourism. 1-18.
  7. Egger, F. N. (2000). Trust me, I'm an online vendor: Towards a model of trust for E-commerce system design. Conference on Human Factors in Computing Systems, 4, 102.
  8. Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Cambridge, MA: Addison-Wesley.
  9. Ghose, S., & Dou, W. Y. (1998), Interactive Functions and Their Impacts on the Appeal of Internet Presence Sites. Journal of Advertising Research, 38(2), 29-43.
  10. Gretzel, U., Fesenmaier, D. R., & O’Leary, J. T. (2006). The Transformation of Consumer Behaviour. Tourism Business Frontiers. UK: Butterworth- Heinemann.
  11. Gu, F. (2014). A Study on the Continuous use of Applications among Korean and Chinese Smartphone users. Master‘s dissertation, Hanyang University
  12. Gunasekaran, A., & Ngai, E. (2003), Special Issue on Mobile Commerce: Strategies, Technologies and Application. Decision Support Systems, 35, 187-188.
  13. Han, J. S. (2014). Understanding Travel-related Mobile Application Users' Continuance Intention: An Extension of the Expectation-Confirmation Model. Master’s dissertation, Kyung Hee University.
  14. Han, J. S., & Yoon, J. H. (2014). An Expectation- Confirmation Model for a Mobile Tourism Application User’s Stickiness. Korean Journal of Hospitality and Tourism(KJHT), 23(2), 195-217.
  15. Han, P. K., Park, J. S., Jun, B. H., & Kang, B. G. (2010). A Study on the Factors of Mobile Applications Adoption. Journal of KITS, 9(3), 65-82.
  16. Hanson, E. K. S. (2000). Exploring the short-term effects of effort-reward imbalance. Daily and Within-day Psychological and Physiological Assessments. Master‘s dissertation, Utrecht University.
  17. Häubl, G., & Trift, V. (2000). Consumer decision making in online shopping environments: The effects of interactive decision aids. Marketing Science, 19(1), 1-21.
  18. Hoffman, D. F., & Novak, T. P. (1996). Marketing in Hypermedia Computer-Mediated Environments: Conceptual Foundations. Journal of Marketing, 60(4), 145-168.
  19. Hwang, Y. H. (2010). A theory of unplanned travel decisions: Implications for modeling on-the-go travelers. Information Technology & Tourism, 12(3), 283-296.
  20. Jin, M. Z. (2011). An Analysis of Major factors affecting the Intention to use China's Mobile Business - Focusing on TAM Model. Master’s dissertation, Soongsil University.
  21. Jokela G. (2005). Satisfied and dissatisfied at the same time: The ‘Must-Have' and 'Attractive' properties of a user interface. Human-Computer Interaction, 56(September), 120-148.
  22. Joseph, A., John, L., Barton W., Chris J., Richard L., Alan, S., & Stacy W. (1997). Interactive Home Shopping: Consumer, Retailer and Manufacturer Incentives to Participate in Electronic Marketplace. Journal of Marketing, 1(61), 38-53.
  23. Kennedy E. H., & Gretzel, U. (2012). A taxonomy of mobile applications in tourism. E-Review of Tourism Research, 10(2), 47-50.
  24. Kim, C. S., Mirsobit, M., & Lee, I. (2010). An empirical examination of factors influencing the intention to use mobile payment. Computers in Human Behavior, 26(3), 310-322.
  25. Kim, J. H. (2010). A Study on the Acceptance Intention for Smart Phone: Using an Extended TAM, Master’s dissertation, Konkuk University.
  26. Kim, S. H., & Park, H. S. (2012). The Impact of Service Characteristics of Smartphone Application on Perceived Value, Satisfaction and Intention to Recommend. Journal of Business Education, 26(6), 121-142.
  27. Kim, S. S., Han, K. S., Kim, B. S., Park, S. K., & Ahn, S. G. (2011). An Empirical Study on Users’ Intention to Use Mobile Applications. Journal of KITA, 9(8), 213-228.
  28. Lee, S. W. (2014). A study on individual user's preference and adopting intention for cloud storage service. Master’s dissertation, Seoul National University.
  29. Lee, J. K., Choi, M. E., & Park, S. B. (2012). A Study on College Students’ Intention to Accept Paid Mobile News Content Provided by Daily Newspapers; Application of a Combined Model between TAM and Uses & Gratification. Journal of Media Economics & Culture, 10(3), 129-172.
  30. Lee, J. S., & Lee, M. Y. (2006). Examining Factors Affecting the Intention to Use IP-TV with the Extended Technology Acceptance. Broadcasting & Communication, 7(1), 100-131.
  31. Lee, T. M. (2009). Investigating the Moderating Role of Consumer Knowledge in the Mobile Internet Service Loyalty Formation Process. Journal of Product Research, 27(3), 29-47.
  32. Lim, B. R. (2011). Factors affecting on users' intention in using social commerce: Based on technology acceptance model. Master’s dissertation, Hanyang University.
  33. Lim, K. H., & Lee, J. H. (2003). A Study on the customer satisfaction to the Mobile Device Characteristics. Journal of Korean Association of Computer and Accounting, 3(1), 35-60.
  34. Lin, J. C., & Lu, H. P. (2000), Towards an Understanding of the Behavioral Intention to Use a Web site. International Journal of Information Management, 20(3), 197-208
  35. Looney, C. A., Jessup, L. M., & Va-ladch, J. S. (2004). Emerging business models for mobile brokerage services. Communications of the ACM, 47(6), 71-77.
  36. McKinney, V., Yoon, K. H., & Fatemeh, Z. (2002). The Measurement of Web-Customer Satisfaction: An Expectation and Disconfirmation Approach. Information Systems Research, 13(3), 296-315.
  37. Noh, Y. (2011). Study on acceptance and diffusion of tourism blog - Focused on TAM and IDT. Doctorial dissertaion, Kyung Hee University.
  38. Moon, J. W., & Kim, Y. G. (2001), Extending the TAM for a World-Wide-Web context. Information and Management, 38(4), 217-230.
  39. Novak, T., Hoffman, P., Lee, D., & Yung, Y. F. (2000). Measuring the customer experience in online environments: A structural modeling approach. Marketing Science, 19(1), 22–42.
  40. Oh, S. J. (2013). An Explorative Study on the Difference between Smartphone Application Selection Factors and Purchase Factors. The Journal of Society for e-Business Studies, 18(4), 129-144.
  41. Park, B. (2011). Integrative Adoption Model of New Media. Korean Journal of Journalism & Communication Studies, 55(5), 448-479.
  42. Park, E. I., Baek, S. I., Ohm, J., & Chang, H. J. (2013). Determinants of player acceptance of mobile social network games: An application of extended technology acceptance model. Telematics and Informatics, 26(3), 310-322.
  43. Park, K. N., Jung, K. W., & Lee, H. Y. (2012). Acceptance Factors of Mobile Applications: Based on the Perceived Risk and Two-Sided Network Effects. Journal of IECR, 12(3), 207-235.
  44. Park, S. C., & Koh, J. (2013). Determinants of Continuance Intention to Use Social Commerce for Group Purchasing: The Moderating Role of Product Involvement. Entrue Journal of Information Technology, 12(2), 139-154.
  45. Park, S. C., & Kwon, S. J. (2011). A Study on Factors Affecting the intention to switch for using cloud computing: A Case for Google doc. Journal of IECR, 10(3), 149-166.
  46. Pikkarainen, T., Pikkarainen, K., Karjaluoto, H., & Pahnil, S. (2004). Consumer Acceptance of Online Banking: An Extension of the Technology Acceptance Model. Internet Research, 14(3), 224-235.
  47. Purcell, K., Entner, R., & Henderson, N. (2010). The rise of apps culture. Pew Report.
  48. Rafaeli, S. (1988). Interactivity from new media to communication. In R. P. Hawkins, J. M. Wiemann, & S. Pingree (Eds.), Advancing Communication Science. Merging Mass and Interpersonal Processes, 110-134.
  49. Rui, N. (2013). A Comparative Study on Affecting Factors of Mobile Application User's Continuance Intention between Korea and China. Master’s dissertation, Kyungpook National University.
  50. Ruth, C. (2000). Applying a Modified Technology Acceptance Model to Determined Factors Affecting Behavioral Intention to Adopt Electronic Shopping on the World Wed: A Structural Equation Modeling Approach. Doctoral Dissertation, Drexel University.
  51. Ryu, J. H., Moon, H. Y., & Choi, J. H. (2013). Analysis of Influence Factors on the Intention to Use Personal Cloud Computing. Journal of KITS, 12(4), 319-335.
  52. Shin, G. K. (2011). The Effect of HTS Quality of Interactivity on the Customer Satisfaction and Loyalty. Korean Business Education Review, 67(20), 313-332.
  53. Sohn, S. C. (2012). A Study on Influence Factors of Social Commerce Satisfaction and Dissatisfaction. Master’s dissertation, Chonnam National University
  54. Thompson, S. H., Teo, V. K., Lim, G,. & Raye, Y. C. L. (1999). Intrinsic and extrinsic motivation in internet usage. The International Journal of Management Science, 7(3), 41-69.
  55. Trigueros-Preciado, S. S., Pérez-González, D., & Solana- González, P. (2013). Cloud computing in industrial SMEs: Identification of the barriers to its adoption and effects of its application. Electronic Markets. 23(2), 1-10.
  56. Tussyadiah, I. P., & Fesenmaier, D. R. (2009). Mediating tourist experiences: Access to places via shared videos. Annals of Tourism Research, 36(1), 24-40.
  57. Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11(4), 342-365.
  58. Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four Longitudinal Field Studies. Management Science, 46(2), 186-204.
  59. Vijayasarathy, L. R. (2004). Predicting Consumer Intentions to Use Online Shopping: The Case for an Augmented Technology Acceptance Model. Information Management, 41(6), 747-762.
  60. Wang et al. (2012). An examination of information services and smartphone applications. Journal of Travel Research, 51(41), 371-387.
  61. Wang, D., & Fesenmaier, D. R. (2013). Transforming the Travel Experience: The Use of Smartphones for Travel. In Proceedings of the Information and Communication Technologies in Tourism 2013. Springer Berlin Heidelberg. 58-69.
  62. Wang, D., Park, S., & Fesenmaier, D. R. (2010). An Examination of Information Services and Smart phone Applications. In Proceedings of the 16th Annual Graduate Student Research Conference in Hospitality and Tourism, Houston, TX. 1-11.
  63. Wang, H. Y., Liao, C., & Yang, L. H. (2013). What Affects Mobile Application Use? The Roles of Consumption Values. International Journal of Marketing Studies, 5(2), 11-18.
  64. Wu, G. (1999). Perceived interactivity and attitude toward web sites. Proceedings of the Conference of the American Academy of Advertising, 254-262.
  65. Yao, Y. (2012). A Compared Research on the Effects of Users' Satisfaction and Continuous Use Attention in Social Commerce Sites: Focusing on Social Commerce Characteristics and Personal Attributers in Korea and China. Master’s dissertation, Chonnam National University.
  66. Yoo, C. Y., & Stout, P. A. (2001). Factors Affecting Users' Interactivity with the Web Site and the Consequences of Users' Interactivity. In C. R. Taylor (ed.), Proceedings of the 2001 Conference of the American Academy of Advertising. American Academy of Advertising, 53-61.
  67. Yun, C. (2011). A Study on the Effect of User's Environment and the characteristics of Smart Phone on Acceptance Intention for Smart Phone. Master’s dissertation, Chonbuk National University.