DOI QR코드

DOI QR Code

The Use of Travel-Related WeChat Mini-Programs in China: An Affordance Theory Perspective

  • Cheng, Ao (Department of Tourism Management, Hainan College of Economics and Business) ;
  • Koo, Chulmo (Department of Convention Management, Kyung Hee University) ;
  • Yoon, Hyejin (Department of Hotel and Tourism, Baewha Women's University)
  • 투고 : 2021.05.13
  • 심사 : 2021.07.18
  • 발행 : 2021.06.30

초록

The travel-related applications on a smartphone help tourists make a reservation before their trip conveniently; use a map, direction guidance, and translation services during the travel; evaluate and recommend travel services communicating with others after their journey. This study examines the relationships among affordances and constraints provided by the mini-program, users' perceived value, and travel-related mini-program (TRMP) usage by analyzing the structural equation modeling. An online questionnaire was developed from the available scales in the published literature. A total of 651 TRMP users responded to the survey, and 448 valid responses were included for analysis. Affordance, including physical, cognitive, sensory, and functional affordance, significantly influenced the hedonic value of TRMP; utilitarian value except for cognitive affordance. There were negative relationships between unfamiliarity and both types of value. The utilitarian and hedonic value of TRMP significantly influenced both the exploitative and explorative use of TRMP. Travel-related mobile applications are dramatically increased in the tourism field. This research sheds light on TRMP usage, as a new and smart device, from a user's perspective based on the affordance theory. This study represents a valuable direction regarding the emerging travel-related online platforms in tourism.

키워드

과제정보

This work was supported by "Double High-levels Plan" Tourism Management Group Construction of Hainan College of Economics and Business. This work was summarized based on the doctoral dissertation.

참고문헌

  1. Aston-Jones, G., & Cohen, J. D. (2005). An integrative theory of locus coeruleus-norepinephrine function: Adaptive gain and optimal performance. Annual Review of Neuroscience, 28, 403-450. https://doi.org/10.1146/annurev.neuro.28.061604.135709
  2. Barkmann, J., Glenk, K., Keil, A., Leemhuis, C., Dietrich, N., Gerold, G., & Marggraf, R. (2008). Confronting unfamiliarity with ecosystem functions: The case for an ecosystem service approach to environmental valuation with stated preference methods. Ecological Economics, 65(1), 48-62. https://doi.org/10.1016/j.ecolecon.2007.12.002
  3. Burton-Jones, A., & Straub, Jr., D. W. (2006). Reconceptualizing system usage: An approach and empirical test. Information Systems Research, 17(3), 228-246. https://doi.org/10.1287/isre.1060.0096
  4. Carmines, E. G., & Zeller, R. A. (1979). Reliability and validity assessment. Sage publications, Beverly Hills, CA.
  5. Cheng, A., Ren, G., Hong, T., Nam, K., & Koo, C. (2019). An exploratory analysis of travel-related WeChat mini program usage: Affordance theory perspective. In J. Pesonen & J. Neidhardt (Eds.), Information and communication technologies in Tourism 2019 (pp. 333-343). Cham, Germany: Springer.
  6. Chiu, C. M., Wang, E. T. G., Fang, Y. H., & Huang, H. Y. (2014). Understanding customers' repeat purchase intentions in B2C e- commerce: The roles of utilitarian value, hedonic value and perceived risk. Information Systems Journal, 24(1), 85-114. https://doi.org/10.1111/j.1365-2575.2012.00407.x
  7. Chong, X., Zhang, J., Lai, K. K., & Nie, L. (2012). An empirical analysis of mobile internet acceptance from a value-based view. International Journal of Mobile Communications, 10(5), 536-557. https://doi.org/10.1504/IJMC.2012.048886
  8. Chung, N., & Koo, C. (2015). The use of social media in travel information search. Telematics and Informatics, 32(2), 215-229. https://doi.org/10.1016/j.tele.2014.08.005
  9. Cooper, C., Taft, L. B., & Thelen, M. (2004). Examining the role of technology in learning: An evaluation of online clinical conferencing. Journal of Professional Nursing, 20(3), 160-166. https://doi.org/10.1016/j.profnurs.2004.04.003
  10. Cunningham, L. F., Gerlach, J. H., Harper, M. D., & Young, C. E. (2005). Perceived risk and the consumer buying process: Internet airline reservations. International Journal of Service Industry Management, 16(4), 357-372. https://doi.org/10.1108/09564230510614004
  11. Deli-Gray, Z., Gillpatrick, T., Marusic, M., Pantelic, D., & Kuruvilla, S. J. (2010). Hedonic and functional shopping values and everyday product purchases: Findings from the Indian study. International Journal of Business Insights & Transformation, 4(1), 65-70.
  12. Dickinson, J. E., Ghali, K., Cherrett, T., Speed, C., Davies, N., & Norgate, S. (2014). Tourism and the smartphone app: Capabilities, emerging practice and scope in the travel domain. Current Issues in Tourism, 17(1), 84-101. https://doi.org/10.1080/13683500.2012.718323
  13. Falk, R. F., & Miller, N. B. (1992). A primer for soft modeling. Akron, OH: University of Akron Press.
  14. Gefen, D., Straub, D., & Boudreau, M. C. (2000). Structural equation modeling and regression: Guidelines for research practice. Communications of the Association for Information Systems, 4(1), 7.
  15. Gibson, J. J. (1979). The ecological approach to visual perception. Boston, MA.: Houghton-Mifihin
  16. Good Work Labs (2016). How mobile app benefits travel and tourism industry. Retrieved October 6, 2019, from http://www.goodworklabs.com/how-mobile-app-benefits-travel-andtourism-industry
  17. Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139-152. https://doi.org/10.2753/MTP1069-6679190202
  18. Hartson, R. (2003). Cognitive, physical, sensory, and functional affordances in interaction design. Behaviour and Information Technology, 22(5), 315-338. https://doi.org/10.1080/01449290310001592587
  19. Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. In R. R. Sinkovics & P. N. Ghauri (Eds.), New challenges to international marketing (pp. 277-319). Bingley: Emerald Group Publishing Limited.
  20. Hu, H. H., Kandampully, J., & Juwaheer, T. D. (2009). Relationships and impacts of service quality, perceived value, customer satisfaction, and image: An empirical study. Service Industries Journal, 29(2), 111-125. https://doi.org/10.1080/02642060802292932
  21. Huang, C. D., Goo, J., Nam, K., & Yoo, C. W. (2017). Smart tourism technologies in travel planning: The role of exploration and exploitation. Information and Management, 54(6), 757-770. https://doi.org/10.1016/j.im.2016.11.010
  22. Jarvelainen, J., & Puhakainen, J. (2004). Distrust of one's own web skills: A reason for offline booking after online information search. Electronic Markets, 14(4), 333-343. https://doi.org/10.1080/10196780412331311775
  23. Kim, B., & Han, I. (2011). The role of utilitarian and hedonic values and their antecedents in a mobile data service environment. Expert Systems with Applications, 38(3), 2311-2318. https://doi.org/10.1016/j.eswa.2010.08.019
  24. Kim, C., Li, W., & Kim, D. J. (2015). An empirical analysis of factors influencing M-shopping use. International Journal of Human-Computer Interaction, 31(12), 974-994. https://doi.org/10.1080/10447318.2015.1085717
  25. Kim, H., & Niehm, L. S. (2009). The impact of website quality on information quality, value, and loyalty intentions in apparel retailing. Journal of Interactive Marketing, 23(3), 221-233. https://doi.org/10.1016/j.intmar.2009.04.009
  26. Kim, J., & Forsythe, S. (2009). Adoption of sensory enabling technology for online apparel shopping. European Journal of Marketing, 43(9/10), 1101-1120. https://doi.org/10.1108/03090560910976384
  27. Kleijnen, M., De Ruyter, K., & Wetzels, M. (2007). An assessment of value creation in mobile service delivery and the moderating role of time consciousness. Journal of Retailing, 83(1), 33-46. https://doi.org/10.1016/j.jretai.2006.10.004
  28. Koo, C., Chung, N., & Kim, H.-W. (2015). Examining explorative and exploitative uses of smartphones: A user competence perspective. Information Technology and People, 28(1), 133-162. https://doi.org/10.1108/ITP-04-2013-0063
  29. Korda, A. P., & Snoj, B. (2010). Development, validity and reliability of perceived service quality in retail banking and its relationship with perceived value and customer satisfaction. Managing Global Transitions, 8(2), 187-205.
  30. Leonardi, P. M., Nardi, B. A., & Kallinikos, J. (Eds.). (2012). Materiality and organizing: Social interaction in a technological world. Oxford: Oxford University Press.
  31. Liang, L. J., Choi, H. C., & Joppe, M. (2018). Understanding repurchase intention of Airbnb consumers: Perceived authenticity, electronic word-of-mouth, and price sensitivity. Journal of Travel and Tourism Marketing, 35(1), 73-89. https://doi.org/10.1080/10548408.2016.1224750
  32. Limayem, M., Hirt, S. G., & Cheung, C. M. (2007). How habit limits the predictive power of intention: The case of information systems continuance. MIS Quarterly, 31(4).
  33. Majchrzak, A., & Markus, L. (2012). Technology affordances and constraints theory of MIS. Thousand Oaks, CA: SAGE.
  34. Mao, Z., & Lyu, J. (2017). Why travelers use Airbnb again?: An integrative approach to understanding travelers' repurchase intention. International Journal of Contemporary Hospitality Management, 29(9), 2464-2482. https://doi.org/10.1108/IJCHM-08-2016-0439
  35. Moorman, C., Zaltman, G., & Deshpande, R. (1992). Relationships between providers and users of market research: The dynamics of trust within and between organizations. Journal of Marketing Research, 29(3), 314-328. https://doi.org/10.2307/3172742
  36. Norman, D. A. (1988). The psychology of everyday things. New York, NY: Basic Books.
  37. Nunnally, J. C. (1994). Psychometric theory 3E. New York, NY: McGrawHill Education.
  38. Overby, J. W., & Lee, E. J. (2006). The effects of utilitarian and hedonic online shopping value on consumer preference and intentions. Journal of Business Research, 59(10-11), 1160-1166. https://doi.org/10.1016/j.jbusres.2006.03.008
  39. Ozturk, A. B., Nusair, K., Okumus, F., & Hua, N. (2016). The role of utilitarian and hedonic values on users' continued usage intention in a mobile hotel booking environment. International Journal of Hospitality Management, 57, 106-115. https://doi.org/10.1016/j.ijhm.2016.06.007
  40. Park, S., & Tussyadiah, I. P. (2017). Multidimensional facets of perceived risk in mobile travel booking. Journal of Travel Research, 56(7), 854-867. https://doi.org/10.1177/0047287516675062
  41. Pearson, A., Tadisina, S., & Griffin, C. (2012). The role of e-service quality and information quality in creating perceived value: Antecedents to web site loyalty. Information Systems Management, 29(3), 201-215. https://doi.org/10.1080/10580530.2012.687311
  42. Perrea, T., Grunert, K. G., & Krystallis, A. (2015). Consumer value perceptions of food products from emerging processing technologies: A cross-cultural exploration. Food Quality and Preference, 39, 95-108. https://doi.org/10.1016/j.foodqual.2014.06.009
  43. QPSoftware. (2019). WeChat mini programs-what is and how different are from mobile apps. qpsoftware.net. Retrieved October 6, 2019, from https://qpsoftware.net/blog/wechat-mini-program-all-you-needknow
  44. R-Style Lab. (2018). Most popular app store categories: Trends, tips and market insights. Slideshare.net. Retrieved March 22, 2019, from https://www.slideshare.net/R-StyleLab/most-popular-app-storecategories-trends-tips-market-insights.
  45. Sillince, J., & Shipton, H. (2013). More than a cognitive experience: Unfamiliarity, invalidation, and emotion in organizational learning. Journal of Management Inquiry, 22(3), 342-355. https://doi.org/10.1177/1056492612469058
  46. Sirdeshmukh, D., Singh, J., & Sabol, B. (2002). Consumer trust, value, and loyalty in relational exchanges. Journal of Marketing, 66(1), 15-37. https://doi.org/10.1509/jmkg.66.1.15.18449
  47. So, K. K. F., Oh, H., & Min, S. (2018). Motivations and constraints of Airbnb consumers: Findings from a mixed-methods approach. Tourism Management, 67, 224-236. https://doi.org/10.1016/j.tourman.2018.01.009
  48. Tencent Big Data (2016.) http://data.qq.com/reports
  49. Treem, J. W., & Leonardi, P. M. (2013). Social media use in organizations: Exploring the affordances of visibility, editability, persistence, and association. Annals of the International Communication Association, 36(1), 143-189. https://doi.org/10.1080/23808985.2013.11679130
  50. Tussyadiah, I. P., & Pesonen, J. (2018). Drivers and barriers of peer-topeer accommodation stay - An exploratory study with American and Finnish travellers. Current Issues in Tourism, 21(6), 703-720. https://doi.org/10.1080/13683500.2016.1141180
  51. Tussyadiah, I. P., & Zach, F. J. (2012). The role of geo-based technology in place experiences. Annals of Tourism Research, 39(2), 780-800. https://doi.org/10.1016/j.annals.2011.10.003
  52. Venkatesh, V., Speier, C., & Morris, M. G. (2002). User acceptance enablers in individual decision making about technology: Toward an integrated model. Decision Sciences, 33(2), 297-316. https://doi.org/10.1111/j.1540-5915.2002.tb01646.x
  53. Volkoff, O., & Strong, D. M. (2017). Affordance theory and how to use it in IS research. In R. D. Galliers & M.-K. Stein (Eds.), The Routledge companion to management information systems, New York, NY: Routledge (pp. 232-245).
  54. Wang, D., Xiang, Z., & Fesenmaier, D. R. (2016). Smartphone use in everyday life and travel. Journal of Travel Research, 55(1), 52-63. https://doi.org/10.1177/0047287514535847
  55. Wang, H.-Y., & Wang, S.-H. (2010). Predicting mobile hotel reservation adoption: Insight from a perceived value standpoint. International Journal of Hospitality Management, 29(4), 598-608. https://doi.org/10.1016/j.ijhm.2009.11.001
  56. Wang, Y., & Chiew, V. (2010). On the cognitive process of human problem solving. Cognitive Systems Research, 11(1), 81-92. https://doi.org/10.1016/j.cogsys.2008.08.003
  57. Wu, J. F., & Chang, Y. P. (2016). Multichannel integration quality, online perceived value and online purchase intention: A perspective of landbased retailers. Internet Research, 26(5), 1228-1248. https://doi.org/10.1108/IntR-04-2014-0111
  58. Yang, H., Yu, J., Zo, H., & Choi, M. (2016). User acceptance of wearable devices: An extended perspective of perceived value. Telematics and Informatics, 33(2), 256-269. https://doi.org/10.1016/j.tele.2015.08.007
  59. Yang, K. (2010). Determinants of US consumer mobile shopping services adoption: Implications for designing mobile shopping services. Journal of Consumer Marketing, 27(3), 262-270. https://doi.org/10.1108/07363761011038338
  60. Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: A means-end model and synthesis of evidence. Journal of Marketing, 52(3), 2-22. https://doi.org/10.2307/1251446