What Motivates Tourists to Get Involved in Cyberspace? A Comparative Look at Two Countries

Document Type : Research Paper


1 Department of Business Administration National Central University,Taichung,Taiwan

2 Associate Professor Department of Business Administration Asia University,Taichung,Taiwan

3 Department of Psychology Asia University,Taichung,Taiwan

4 Master's students Department of Business Administration Asia University,Taichung ,Taiwan


This paper aimed to test the influences of perceived usefulness on travelers’ willingness to create user-generated content (UGC) through attitudes toward social media, travel planning attitude, and electronic word of mouth, as mediating variables, and compare the proposed model results between two culturally and geographically distinct nations. The research model and the interactions among the constructs were tested and validated through structural equation modeling. Randomly selected qualified responses from Mexican (N=192) and Taiwanese (N=200) participants were analyzed. The comparative analysis of statistical results showed that in Mexico, travel planning attitude does not directly influence travelers’ involvement in UGC. Instead, choosing a travel destination is the reason why Mexicans would generate content. However, in Taiwan the non-significant direct relationship is between electronic word of mouth and user-generated content. Despite the massive social media affect in Taiwan, reading and collecting information online is not the reason for Taiwanese to get involved in providing online content. Research findings assist the destination marketers and tourism stakeholders to identify essential elements that positively motivate and inspire travelers’ intention to share opinions through social media in order to promote or adjust plans and adopt compatible strategies to successfully form and influence travelers’ decision-making behavior.


Main Subjects

Alcázar, M. D. C. H., Piñero, M. S., & Maya, S. R. d. (2014). The effect of user-generated content on tourist behavior: The mediating role of destination image. Tourism & Management Studies, 10(speical issue), 158-164.
Aluri, A., Slevitch, L., & Larzelere, R. (2016). The influence of embedded social media channels on travelers’ gratifications, satisfaction, and purchase intentions. Cornell Hospitality Quarterly, 57(3), 250-267. https://doi.org/10.1177/1938965515615685.
Amaro, S., & Duarte, P. (2013). Online travel purchasing: A literature review. Journal of Travel & Tourism Marketing, 30(8), 755-785. https://doi.org/10.1080/10548408.2013.835227.
Anh, T., Hanh, P., Cam, L., Van, K., & Dinh, L. (2019). A study of the factors affecting the content created by international travellers in Vietnam. Management Science Letters, 9(12), 2051-2062. https://doi.org/10.5267/j.msl.2019.8.031.
Ayeh, J. K., Au, N., & Law, R. (2013a). Do we believe in TripAdvisor?” Examining credibility perceptions and online travelers’ attitude toward using user-generated content. Journal of Travel Research, 52(4), 437-452. https://doi.org/10.1177/0047287512475217.
Ayeh, J. K., Au, N., & Law, R. (2013b). Predicting the intention to use consumer-generated media for travel planning. Tourism Management, 35, 132-143. https://doi.org/10.1016/j.tourman.2012.06.010.
Ajzen, I., & Fishbein, M. (1975). A Bayesian analysis of attribution processes. Psychological bulletin82(2), 261.
Bhattacherjee, A., & Sanford, C. (2006). Influence processes for information technology acceptance: An elaboration likelihood model. MIS Quarterly, 30(4), 805-825. https://doi.org/10.2307/25148755.
Berkman, H. W., & Gilson, C. C. (1986). Consumer behavior: Concepts and strategies. Thomson South-Western.
Bernardin, C. (2019). What is the impact of social media on travel? Retrieved July, 2020 from https://theboar.org/2019/12/what-is-the-impact-of-social-media-on-travel/
Book, L. A., Tanford, S., Montgomery, R., & Love, C. (2018). Online traveler reviews as social influence: Price is no longer king. Journal of Hospitality & Tourism Research, 42(3), 445-475. https://doi.org/10.1177/1096348015597029.
Ceballos, F., Personales, F., & Style, L. (2016). Turismo, rey del e-commerce en Mexico [Tourism, King of the e-commerece in Mexico] …]. Cnnexpansion.com. Retrieved March, 2018,  from http://www.cnnexpansion.com/opinion/2012/05/18/turismo-rey-del-ecomerce-en-mexico.
Cheung, C. M., & Thadani, D. R. (2012). The impact of electronic word-of-mouth communication: A literature analysis and integrative model. Decision Support Systems54(1), 461-470.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3) …, 319-340. https://doi.org/ 10.2307/249008.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003. https://doi.org/10.1287/mnsc.35.8.982.
Dedeoğlu, B. B., Taheri, B., Okumus, F., & Gannon, M. (2020). Understanding the importance that consumers attach to social media sharing (ISMS): Scale development and validation. Tourism Management, 76, 103954. https://doi.org/10.1016/j.tourman.2019.103954.
DIGITAL. (2020). DIGITAL 2020: Taiwan. Retrieved July, 2020, from https://datareportal.com/reports/digital-2020-taiwan.
Doosti, S., Jalilvand, M. R., Asadi, A., Pool, J. K., & Adl, P. M. (2016). Analyzing the influence of electronic word of mouth on visit intention: The mediating role of tourists’ attitude and city image. International Journal of Tourism Cities, ….
Duarte, P. A. D. O., & Silva, S. C. E. (2018). The role of consumer-cause identification and attitude in the intention to purchase cause-related products, International Marketing Review, 37(4), 593-601. https://doi.org/10.1108/IMR-04-2018-0159.
El-Said, O. A. (2020). Impact of online reviews on hotel booking intention: The moderating role of brand image, star category, and price. Tourism Management Perspectives, 33, 100604. https://doi.org/10.1016/j.tmp.2019.100604.
Embamex. (2017). Mexico’s rise to sixth most visited country in the world confirmed by UNWTO. Retrieved September, 2018, from https://embamex.sre.gob.mx/reinounido/index.php/en/view-more-press/37-press2018/1631-mexico-s-rise-to-sixth-most-visited-country-in-the-world-confirmed-by-unwto.
Erkan, I., & Evans, C. (2016). The influence of eWOM in social media on consumers’ purchase intentions: An extended approach to information adoption. Computers in Human Behavior61, 47-55. https://doi.org/10.1016/j.chb.2016.03.003.
Ferries, C. (2020). Vital millennial travel trend statistics. Retrived July, 2020, from https://www.condorferries.co.uk/millennials-travel-statistics-trends.
Filieri, R., & McLeay, F. (2014). E-WOM and accommodation: An analysis of the factors that influence travelers’ adoption of information from online reviews. Journal of Travel Research, 53(1), 44-57. https://doi.org/10.1177/0047287513481274.
Gursoy, D. (2019). A critical review of determinants of information search behavior and utilization of online reviews in decision making process. International Journal of Hospitality Management, 76, 53-60. https://doi.org/10.1016/j.ijhm.2018.06.003.
Gursoy, D., & Gavcar, E. (2003). International leisure tourists’ involvement profile. Annals of Tourism Research, 30(4), 906-926. https://doi:10.1016/S0160-7383(03)00059-8.
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2013). Partial least squares structural equation modeling: Rigorous applications, better results and higher acceptance. Long Range Planning, 46(1-2), 1-12.
Hew, J.-J., Leong, L.-Y., Tan, G. W.-H., Lee, V.-H., & Ooi, K.-B. (2018). Mobile social tourism shopping: A dual-stage analysis of a multi-mediation model. Tourism Management, 66, 121-139. https://doi.org/10.1016/j.tourman.2017.10.005.
Hofstede, G. (1980). Motivation, leadership, and organization: Do American theories apply abroad? Organizational Dynamics, 9(1), 42-63. https://doi.org/10.1016/0090-2616(80)90013-3.
Innis, D. E., & La Londe, B. J. (1994). Customer service: The key to customer satisfaction, customer loyalty, and market share. Journal of Business Logistics, 15(1), 1-27.
Jackson, M. (2019). Utilizing attribution theory to develop new insights into tourism experiences. Journal of Hospitality and Tourism Management, 38, 176-183. https://doi.org/10.1016/j.jhtm.2018.04.007.
Jalilvand, M. R., & Samiei, N. (2012). The effect of electronic word of mouth on brand image and purchase intention. Marketing Intelligence & Planning., 30(4), 460-476. https://doi.org/10.1108/02634501211231946.
Jalilvand, M. R., Samiei, N., Dini, B., & Manzari, P. Y. (2012). Examining the structural relationships of electronic word of mouth, destination image, tourist attitude toward destination and travel intention: An integrated approach. Journal of Destination Marketing & Management, 1(1-2), 134-143. https://doi.org/10.1016/j.jdmm.2012.10.001.
Japutra, A., Loureiro, S. M. C., Molinillo, S., & Ekinci, Y. (2019). Travellers’ mindsets and theory of planned behaviour. Tourism Management Perspectives, 30, 193-196. https://doi.org/10.1016/j.tmp.2019.02.011.
Kaemingk, D. (2020). 20 online review stats to know in 2019. Qualtrics. https://www.qualtrics.com/blog/online-review-stats  
Kaplan, A. M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of social media. Business Horizons, 53(1), 59-68. https://doi.org/10.1016/j.bushor.2009.09.003.
Kelley, H. H. (1967). Attribution theory in social psychology. Nebraska Symposium on Motivation, 15, 192–238..
Kemp, S. (2020a). Digital 2020: Mexico. Datareportal. Retrived February, 2020, from https://datareportal.com/reports/digital-2020-mexico
Kemp, S. (2020b). Digital 2020: Taiwan. Datareportal. Retrived, February, 2020, from https://datareportal.com/reports/digital-2020-taiwan
Kim, Y. Y., & Gudykunst, W. B. (1988). Theories in intercultural communication (Vol. 12). Sage Publications.
Kim, S. J., Maslowska, E., & Malthouse, E. C. (2018). Understanding the effects of different review features on purchase probability. International Journal of Advertising, 37(1), 29-53. https://doi.org/10.1080/02650487.2017.1340928.
Kim, M., & Kim, J. (2020). The Influence of authenticity of online reviews on trust formation among travelers. Journal of Travel Research, 59(5), 763-776. https://doi.org/10.1177/0047287519868307.
Kim, D. Y., Park, J., & Morrison, A. M. (2008). A model of traveller acceptance of mobile technology. International Journal of Tourism Research, 10(5), 393-407. https://doi.org/10.1002/jtr.669.
Kucukusta, D., Law, R., Besbes, A., & Legohérel, P. (2015). Re-examining perceived usefulness and ease of use in online booking: The case of Hong Kong online users. International Journal of Contemporary Hospitality Management, 27(2), 185-198. https://doi.org/10.1108/IJCHM-09-2013-0413.
Kwok, L., Tang, Y., & Yu, B. (2020). The 7 Ps marketing mix of home-sharing services: Mining travelers’ online reviews on Airbnb. International Journal of Hospitality Management, 90, 102616. https://doi.org/10.1016/j.ijhm.2020.102616.
Lam, D., & Mizerski, D. (2005). The effects of locus of control on word‐of‐mouth communication. Journal of Marketing Communications, 11(3), 215-228. https://doi.org/10.1080/1352726042000333180.
Laurent, G., & Kapferer, J. N. (1985). Measuring consumer involvement profiles. Journal of Marketing Research, 22(1), 41-53. https://doi.org/10.1177/002224378502200104.
Li, C., Wang, Y., Lv, X., & Li, H. (2021). To buy or not to buy? The effect of time scarcity and travel experience on tourists' impulse buying. Annals of Tourism Research86, 103083.
Lin, W. S. (2012). Perceived fit and satisfaction on web learning performance: IS continuance intention and task-technology fit perspectives. International Journal of Human-Computer Studies, 70(7), 498-507. https://doi.org/10.1016/j.ijhcs.2012.01.006.
Litvin, S. W., Goldsmith, R. E., & Pan, B. (2008). Electronic word-of-mouth in hospitality and tourism management. Tourism Management, 29(3), 458-468. https://doi.org/10.1016/j.tourman.2007.05.011.
Litvin, S. W., Goldsmith, R. E., & Pan, B. (2018). A retrospective view of electronic word-of-mouth in hospitality and tourism management. International Journal of Contemporary Hospitality Management, 30(1), 313-325. https://doi.org/10.1108/IJCHM-08-2016-0461.
Mariani, M. M., Di Felice, M., & Mura, M. (2016). Facebook as a destination marketing tool: Evidence from Italian regional destination management organizations. Tourism Management, 54, 321-343. https://doi.org/10.1016/j.tourman.2015.12.008.
Maslowska, E., Malthouse, E. C., & Bernritter, S. F. (2017). Too good to be true: The role of online reviews’ features in probability to buy. International Journal of Advertising, 36(1), 142-163. https://doi.org/10.1080/02650487.2016.1195622.
Matute, J., Polo-Redondo, Y., & Utrillas, A. (2016). The influence of EWOM characteristics on online repurchase intention: Mediating roles of trust and perceived usefulness. Online Information Review, 40(7), 1090-1110. https://doi.org/10.1108/OIR-11-2015-0373.
Mendes-Filho, L., Mills, A. M., Tan, F. B., & Milne, S. (2018). Empowering the traveler: An examination of the impact of user-generated content on travel planning. Journal of Travel & Tourism Marketing, 35(4), 425-436. https://doi.org/10.1080/10548408.2017.1358237.
McQuarrie, E. F., & Munson, J. M. (1992). A revised product involvement inventory: Improved usability and validity. ACR North American Advances.  
Molly, M. (2020). Active social media user penetration in the Asia Pacific region in January 2020, by country or region. Statista. https://www.statista.com/statistics/255235/active-social-media-penetration-in-asian-countries/
Moon, J. W., & Kim, Y. G. (2001). Extending the TAM for a World-Wide-Web context. Information & Management, 38(4), 217-230. https://doi.org/10.1016/S0378-7206(00)00061-6.
Mukherjee, P., & Jansen, B. J. (2017). Conversing and searching: The causal relationship between social media and web search. Internet Research, 27(5), 1209-1226. https://doi.org/10.1108/IntR-07-2016-0228.
Munar, A. M., & Jacobsen, J. K. S. (2013). Trust and involvement in tourism social media and web-based travel information sources. Scandinavian Journal of Hospitality and Tourism, 13(1), 1-19. https://doi.org/10.1080/15022250.2013.764511.
Nam, K., Baker, J., Ahmad, N., & Goo, J. (2019). Determinants of writing positive and negative electronic word-of-mouth: Empirical evidence for two types of expectation confirmation. Decision Support Systems, 129, 113168. https://doi.org/10.1016/j.dss.2019.113168.
NapoleonCat. Stats. (2020). Facebook users in Taiwan, June 2020, Retrieved May, 2022 from https://napoleoncat.com/stats/facebook-users-in-taiwan/2020/06/#:~:text=There%20were%2018%20870%20000,group%20(4%20900%20000)
Narangajavana Kaosiri, Y., Callarisa Fiol, L. J., Moliner Tena, M. A., Rodriguez Artola, R. M., & Sanchez Garcia, J. (2019). User-generated content sources in social media: A new approach to explore tourist satisfaction. Journal of Travel Research, 58(2), 253-265. https://doi.org/10.1177/0047287517746014.
Navarro, J. G. (2020). Latin America: Social media reach 2020, by country. Statista. Retrieved September, 2020 from https://www.statista.com/statistics/942938/social-media-reach-latin-america-country/.
Oliveira, B., & Casais, B. (2019). The importance of user-generated photos in restaurant selection. Journal of Hospitality and Tourism Technology, 10(1), 2-14. https://doi.org/10.1108/JHTT-11-2017-0130.
Tabachnick, B. G., Fidell, L. S., & Ullman, J. B. (2007). Using multivariate statistics (7th ed.)  Pearson.
Tajeddini, K., Rasoolimanesh, S. M., Gamage, T. C., & Martin, E. (2021). Exploring the visitors’ decision-making process for Airbnb and hotel accommodations using value-attitude-behavior and theory of planned behavior. International Journal of Hospitality Management, 96, 102950.
Tourism Bureau, MOTC. (2022). Republic of China (Taiwan). Retrieved April, 2022, from https://admin.taiwan.net.tw/upload/contentFile/auser/b/annual_2019_htm/en/01_2_Taiwan-Tourism-Market.html#:~:text=Visitors%20to%20Taiwan,visits%20or%207.21%25%20from%202018.
Trompenaars, F., & Hampden-Turner, C. (2020). Riding the waves of culture: Understanding diversity in global business (4th ed.). McGraw-Hill Education
Wang, P., & Li, H. (2019). Understanding the antecedents and consequences of the perceived usefulness of travel review websites. International Journal of Contemporary Hospitality Management, 31(3), 1086-1103. https://doi.org/10.1108/IJCHM-06-2017-0380
Wu, S., Lin, C. S., & Lin, J. (2011). An empirical investigation of online users’ keyword ads search behaviours. Online Information Review. 35(2), 177-193. https://doi.org/10.1108/14684521111127998.
Xiang, Z., Wang, D., O’Leary, J. T., & Fesenmaier, D. R. (2015). Adapting to the Internet: Trends in travelers’ use of the web for trip planning. Journal of Travel Research, 54(4), 511-527. https://doi.org/10.1177/0047287514522883.
Yan, J., Yang, Z., Li, Z., Li, X., Xin, L., & Sun, L. (2016). Drivers of cropland abandonment in mountainous areas: A household decision model on farming scale in Southwest China. Land Use Policy57, 459-469.
Yan, Q., Zhou, S., & Wu, S. (2018). The influences of tourists’ emotions on the selection of electronic word of mouth platforms. Tourism Management, 66, 348-363. https://doi.org/10.1016/j.tourman.2017.12.015.
Yang, F. X. (2017). Effects of restaurant satisfaction and knowledge sharing motivation on eWOM intentions: The moderating role of technology acceptance factors. Journal of Hospitality & Tourism Research, 41(1), 93-127. https://doi.org/10.1177/1096348013515918.
Zeng, B., & Gerritsen, R. (2014). What do we know about social media in tourism? A review. Tourism Management Perspectives, 10, 27-36. https://doi.org/10.1016/j.tmp.2014.01.001.
Zhang, Z., Zhang, Z., & Yang, Y. (2016). The power of expert identity: How website-recognized expert reviews influence travelers’ online rating behavior. Tourism Management, 55, 15-24. https://doi.org/10.1016/j.tourman.2016.01.004.