The Mediating Role of Real-Time Information Between Location-Based User-Generated Content and Tourist Gift Purchase Intention

Year 2021, Volume: 9 Issue: 1, 49 - 77, 01.06.2021

Mustafa Khan , Haseeb Khan Maya Vachkova Arsalan Ghourı

https://doi.org/10.30519/ahtr.799716

Cited By: 4

Abstract

The global use of Web 2.0 applications has generated enormous volumes of user content. Drawing on cognitive load theory, this study examines unexplored factors that influence gift purchase intention of tourists. The authors identify localization and real-time information for shaping tourists' gift purchase intention, which is facilitated by reduced cognitive overload. Analyzes of the study relies on a sample of 273 foreign tourists in Malaysia. A cross-sectional quantitative study is conducted using partial least square structural equation modeling. Results showed that location-based user-generated content and real-time information significantly affect gift purchase intention of tourists. Moreover, real-time information partially mediates the relationship between location-based user-generated content and gift purchase intention.

Keywords

Web 2.0, user generated content, location based content, real time information, tourists’ gift purchase intention

References

• Ahsan, K., & Rahman, S. (2016). An investigation into critical service determinants of customer to business (C2B) type product returns in retail firms. International Journal of Physical Distribution & Logistics Management, 46(6/7), 606–633.
• Akçura, M. T., & Altınkemer, K. (2002). Diffusion models for B2B, B2C, and P2P exchanges and e-speak. Journal of Organizational Computing and Electronic Commerce, 12(3), 243-261.
• Anuar, F. I., Yulia, A., Hamden, H. N. B., Aziz, K. F. B. A., & Edruce, S. M. B. W. H. (2017). Exploring the rationales of souvenir purchase behaviour and roles of behavioural belief and perceived authenticity among international tourists in Malaysia. In A. Saufi, I. Andilolo, N. Othman, & A. Lew (Eds), Balancing Development and Sustainability in Tourism Destinations (pp. 79-87). Singapore: Springer.
• Armstrong, J. S., & Overton, T. S. (1977). Estimating nonresponse bias in mail surveys. Journal of Marketing Research, 14(3), 396-402.
• Azmi, A., Buliah, A. L., Ramaiah, A. K., Ariffin, H. F., & Ngelambong, A. (2019). Tourist shopping styles and preferences in Kuala Lumpur, Malaysia. In A. Mat Noor, A. Mohd Zakuan, & S. Muhamad Noor (Eds.), Proceedings of the Second International Conference on the Future of ASEAN (ICoFA) 2017: Vol. 1 (pp. 91-102). Singapore: Springer.
• Batra, R., & Keller, K. L. (2016). Integrating marketing communications: New findings, new lessons, and new ideas. Journal of Marketing, 80(6), 122-145.
• Beneke, J., Mill, J., Naidoo, K., & Wickham, B. (2015). The impact of willingness to engage in negative electronic word-of-mouth on brand attitude: A study of airline passengers in South Africa. Journal of Business and Retail Management Research, 9(2), 68-84.
• Berger, S., Lehmann, H., & Lehner, F. (2002). Location-based services in the tourist industry. Information Technology & Tourism, 5(4), 243-256.
• Bigne, E., Simonetti, A., Ruiz, C., & Kakaria, S. (2021). How online advertising competes with user-generated content in TripAdvisor. A neuroscientific approach. Journal of Business Research, 123, 279-288.
• BrightLocal (2020, December 9), Local Consumer Review Survey 2017. Retrieved December 13, 2020, from https://www.brightlocal.com/research/local-consumer-review-survey/#Q8
• Buhalis, D., & Amaranggana, A. (2014). Smart tourism destinations. In Z. Xiang & I. Tussyadiah (Eds.), Information and Communication Technologies in Tourism 2014 (pp. 553-564). Vienna, Austria: Springer.
• Buhalis, D., & Sinarta, Y. (2019). Real-time co-creation and nowness service: lessons from tourism and hospitality. Journal of Travel & Tourism Marketing, 36(5), 563-582.
• Buyya, R., Yeo, C. S., Venugopal, S., Broberg, J., & Brandic, I. (2009). Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility. Future Generation Computer Systems, 25(6), 599-616.
• Cheong, J. W., Muthaly, S., Kuppusamy, M., & Han, C. (2020). The study of online reviews and its relationship to online purchase intention for electronic products among the millennials in Malaysia. Asia Pacific Journal of Marketing and Logistics, 32(7), 1519-1538.
• Cibere, G. U., Başaran, M., & Kantarci, K. (2020). Evaluation of hotel performance attributes through consumer generated reviews: The case of Bratislava. Advances in Hospitality and Tourism Research, 8(1), 48-75.
• Ciftci, O., Berezina, K., Cavusoglu, M., & Cobanoglu, C. (2020). Winning the battle: The importance of price and online reviews for hotel selection. Advances in Hospitality and Tourism Research, 8(1), 177-202. https://doi.org/10.30519/ahtr.528150
• Cleveland, M., Babin, B. J., Laroche, M., Ward, P., & Bergeron, J. (2003). Information search patterns for gift purchases: A cross‐national examination of gender differences. Journal of Consumer Behaviour, 3(1), 20-47.
• Colliander, J., Dahlén, M., & Modig, E. (2015). Twitter for two: Investigating the effects of dialogue with customers in social media. International Journal of Advertising, 34(2), 181-194.
• Cox, C., Burgess, S., Sellitto, C., & Buultjens, J. (2009). The role of user-generated content in tourists' travel planning behavior. Journal of Hospitality Marketing & Management, 18(8), 743-764.
• Dan, A., & Reiner, M. (2017). EEG based analysis of cognitive load enhance instructional analysis. Journal of Educational Data Mining, 9(2), 31-44.
• DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60-95.
• Chern, L. T., Pfordten D., & Devi, V. (2020, January 2). Penang expects airport to record 8.3 million tourist arrivals. The Star. Retrieved December 13, 2020, from: https://www.thestar.com.my/news/nation/2020/01/02/penang-expects-airport-to-record-83-million-tourist-arrivals
• Duff, B. R. L., & Sar, S. (2015). Seeing the big picture: Multitasking and perceptual processing influences on ad recognition. Journal of Advertising, 44(3), 173-184.
• Dziekan, K., & Vermeulen, A. (2006). Psychological effects of and design preferences for real-time information displays. Journal of Public Transportation, 9(1), 1-19.
• East, D., Osborne, P., Kemp, S., & Woodfine, T. (2017). Combining GPS & survey data improves understanding of visitor behaviour. Tourism Management, 61, 307-320.
• Elwalda, A., Lü, K., & Ali, M. (2016). Perceived derived attributes of online customer reviews. Computers in Human Behavior, 56, 306-319.
• Faul, F., Erdfelder, E., Lang, A. G., & Buchner, A. (2007). G* Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39(2), 175-191.
• Fawcett, S. E., Osterhaus, P., Magnan, G. M., Brau, J. C., & McCarter, M. W. (2007). Information sharing and supply chain performance: The role of connectivity and willingness. Supply Chain Management an International Journal, 12(5), 358–368.
• Feng, B., Ye, Q., & Collins, B. J. (2019). A dynamic model of electric vehicle adoption: The role of social commerce in new transportation. Information & Management, 56(2), 196-212.
• Feng, X., Fu, S., & Qin, J. (2016). Determinants of consumers’ attitudes toward mobile advertising: The mediating roles of intrinsic and extrinsic motivations. Computers in Human Behavior, 63, 334-341.
• Fischer, F. (2012). VGI as big data: A new but delicate geographic data-source. GeoInformatics, 15(3), 46-47.
• Fulkerson, B., & Shank, M. (2000). The new economy electronic commerce, and the rise of mass customization. In M. Shaw, R. Blanning, R. Strader, & A. Whinston (Eds.). Handbook on electronic commerce (pp. 411–430). Heidelberg: Springer-Verlag Berlin Heidelberg.
• Gao, H., Huang, S. S., & Brown, G. (2017). The influence of face on Chinese tourists’ gift purchase behaviour: The moderating role of the gift giver–receiver relationship. Tourism Management, 62, 97-106.
• Garau, C. (2014). From territory to smartphone: Smart fruition of cultural heritage for dynamic tourism development. Planning Practice and Research, 29(3), 238-255.
• García-Crespo, Á., López-Cuadrado, J. L., Colomo-Palacios, R., González-Carrasco, I., & Ruiz-Mezcua, B. (2011). Sem-Fit: A semantic based expert system to provide recommendations in the tourism domain. Expert systems with applications, 38(10), 13310-13319.
• Gefen, D., Rigdon, E. E., & Straub, D. (2011). Editor's comments: an update and extension to SEM guidelines for administrative and social science research. Mis Quarterly, 35(2), 3–14.
• Geisser, S. (1974). A predictive approach to the random effect model. Biometrika, 61(1), 101-107.
• Ghose, A., & Ipeirotis, P. (2006). Towards an understanding of the impact of customer sentiment on product sales and review quality. Information Technology and Systems, 12, 1-6.
• Ghouri, A. M., & Mani, V. (2019). Role of real-time information-sharing through SaaS: An industry 4.0 perspective. International Journal of Information Management, 49, 301-315.
• Goldenberg, J., Libai, B., & Muller, E. (2001). Talk of the network: A complex systems look at the underlying process of word-of-mouth. Marketing letters, 12(3), 211-223.
• Gordon, B. (1986). The souvenir: Messenger of the extraordinary. Journal of Popular Culture, 20(3), 135-151.
• Gretzel, U. (2006). Consumer generated content–trends and implications for branding. E-review of Tourism Research, 4(3), 9-11.
• Gretzel, U., & Yoo, K. (2008). Use and impact of online travel reviews. In P. O’Connor, W. Höpken, & U. Gretzel (Eds.), Information and communication technologies in tourism 2008 (pp. 35-46). New York: Springer-Verlag.
• Gretzel, U., Fesenmaier, D. R., Lee, Y. J., & Tussyadiah, I. (2011). Narrating travel experiences: The role of new media. In R. Sharpley & P. R. Stone (Eds.), Tourist experience: Contemporary Perspectives (pp. 171-182). New York: Routledge.
• Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review. 31(1), 2-24.
• Han, Y., Zhang, T., & Wang, M. (2020). Holiday travel behavior analysis and empirical study with integrated travel reservation information usage. Transportation Research Part A: Policy and Practice, 134, 130-151.
• Henseler, J., Hubona, G. and Ray, P.A. (2016). Using PLS path modeling in new technology research: updated guidelines. Industrial Management & Data Systems, 116(1), 2-20.
• Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135.
• Hollender, N., Hofmann, C., Deneke, M., & Schmitz, B. (2010). Integrating cognitive load theory and concepts of human–computer interaction. Computers in human behavior, 26(6), 1278-1288.
• Huang, Z., & Benyoucef, M. (2013). From e-commerce to social commerce: A close look at design features. Electronic Commerce Research and Applications, 12(4), 246-259.
• Jiang, S., Scott, N., & Ding, P. (2015). Using means-end chain theory to explore travel motivation: An examination of Chinese outbound tourists. Journal of Vacation Marketing, 21(1), 87-100.
• Jung, J. H., Schneider, C., & Valacich, J. (2010). Enhancing the motivational affordance of information systems: The effects of real-time performance feedback and goal setting in group collaboration environments. Management Science, 56(4), 724-742.
• Kaplan, A. M. (2012). If you love something, let it go mobile: Mobile marketing and mobile social media 4x4. Business Horizons, 55(2), 129-139.
• Kaplan, A. M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of Social Media. Business Horizons, 53(1), 59-68.
• Kavoura, A., Bozyigit, S., & Ozelturkay, E. Y. (2020). Turkish and Greek gift purchase behaviour and advertisement on traditional and online media communication tools based on gender differences. International Journal of Technology Marketing, 14(1), 1-21.
• Kim, A. J., & Ko, E. (2012). Do social media marketing activities enhance customer equity? An empirical study of luxury fashion brand. Journal of Business Research, 65(10), 1480-1486.
• Kim, D., Kim, J. H., & Nam, Y. (2014). How does industry use social networking sites? An analysis of corporate dialogic uses of Facebook, Twitter, YouTube, and LinkedIn by industry type. Quality & Quantity, 48(5), 2605-2614.
• Kim, S., & Park, H. (2013). Effects of various characteristics of social commerce (s-commerce) on consumers’ trust and trust performance. International Journal of Information Management, 33(2), 318-332.
• Kock, N. (2017). Common method bias: A full collinearity assessment method for PLS-SEM. In H. Latan & R. Noonan (Eds.), Partial Least Squares Path Modeling (pp. 245-257). Cham: Springer.
• Kudo, R., Enoki, M., Nakao, A., Yamamoto, S., Yamaguchi, S., & Oguchi, M. (2019). Real-time event search using social stream for inbound tourist corresponding to place and time. International Journal of Big Data Intelligence, 6(3), 248-258.
• Ladhari, R., & Michaud, M. (2015). eWOM effects on hotel booking intentions, attitudes, trust, and website perceptions. International Journal of Hospitality Management, 46, 36-45.
• Langmead, B., & Nellore, A. (2018). Cloud computing for genomic data analysis and collaboration. Nature Reviews Genetics, 19(4), 208.
• Lee, H. A., Law, R., & Murphy, J. (2011). Helpful reviewers in TripAdvisor, an online travel community. Journal of Travel & Tourism Marketing, 28(7), 675-688.
• Lee, H. L., & Whang, S. (2000). Information sharing in a supply chain. International Journal of Manufacturing Technology and Management, 1(1), 79-93.
• Leung, D., Law, R., Van Hoof, H., & Buhalis, D. (2013). Social media in tourism and hospitality: A literature review. Journal of Travel & Tourism Marketing, 30(1), 3-22.
• Li, F. S., & Ryan, C. (2018). Souvenir shopping experiences: A case study of Chinese tourists in North Korea. Tourism Management, 64, 142-153.
• Li, J., Xu, L., Tang, L., Wang, S., & Li, L. (2018). Big data in tourism research: A literature review. Tourism Management, 68, 301-323.
• Li, M., & Cai, L. A. (2008). Souvenir shopping attitudes and behavior among Chinese domestic tourists: An exploratory study 中国国内游客购买旅游纪念品的态度及行为研究. Journal of China Tourism Research, 4(2), 189-204.
• Li, N., Tung, V., & Law, R. (2017). A fuzzy comprehensive evaluation algorithm for analyzing electronic word-of-mouth. Asia Pacific Journal of Tourism Research, 22(6), 592-603.
• Li, X., & Katsumata, S. (2020). The impact of multidimensional country distances on consumption of specialty products: A case study of inbound tourists to Japan. Journal of Vacation Marketing, 26(1), 18-32.
• Li, X., Meng, F., & Uysal, M. (2008). Spatial pattern of tourist flows among the Asia-Pacific countries: An examination over a decade. Asia Pacific Journal of Tourism Research, 13(3), 229-243.
• Lim, Y. S., & Heide, B. D. V., (2015). Evaluating the wisdom of strangers: The perceived credibility of online consumer reviews on Yelp. Journal of Computer-Mediated Communication, 20(1), 67-82.
• Lipsman, A., Mudd, G., Rich, M., & Bruich, S. (2012). The power of “like”: How brands reach (and influence) fans through social-media marketing. Journal of Advertising Research, 52(1), 40-52.
• Litirell, M. A., Baizerman, S., Kean, R., Gahring, S., Niemeyer, S., Reilly, R., & Stout, J. (1994). Souvenirs and tourism styles. Journal of Travel Research, 33(1), 3-11.
• Liu, Z., & Park, S. (2015). What makes a useful online review? Implication for travel product websites. Tourism Management, 47, 140-151.
• Lo, I. S., McKercher, B., Lo, A., Cheung, C., & Law, R. (2011). Tourism and online photography. Tourism Management, 32(4), 725-731.
• Lu, L. C., Chang, W. P., & Chang, H. H. (2014). Consumer attitudes toward blogger’s sponsored recommendations and purchase intention: The effect of sponsorship type, product type, and brand awareness. Computers in Human Behavior, 34, 258-266.
• Lu, X., He, S., Lian, S., Ba, S., & Wu, J. (2020). Is user-generated content always helpful? The effects of online forum browsing on consumers' travel purchase decisions. Decision Support Systems, 137, 113368. https://doi.org/10.1016/j.dss.2020.113368
• Lu, Z., Xia, H., Heo, S., & Wigdor, D. (2018). You watch, you give, and you engage: a study of live streaming practices in China. Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, Canada, 1-13.
• Ma, J. W., Yang, Y., & Wilson, J. A. (2017). A window to the ideal self: a study of uk twitter and Chinese Sina Weibo selfie-takers and the implications for marketers. Journal of Business Research, 74, 139-142.
• Mahmassani, H. S., & Jayakrishnan, R. (1991). System performance and user response under real-time information in a congested traffic corridor. Transportation Research Part A: General, 25(5), 293-307.
• Majchrzak, A., Faraj, S., Kane, G. C., & Azad, B. (2013). The contradictory influence of social media affordances on online communal knowledge sharing. Journal of Computer-Mediated Communication, 19(1), 38-55.
• Malhotra, Y. (2005). Integrating knowledge management technologies in organizational business processes: getting real time enterprises to deliver real business performance. Journal of Knowledge Management, 9(1), 7-28.
• Margherita, A. (2014). Business process management system and activities. Business Process Management Journal, 20(5), 642-662.
• Maria-Irina, A. N. A., & Istudor, L. G. (2019). The Role of Social Media and User-Generated-Content in Millennials’ Travel Behavior. Management Dynamics in the Knowledge Economy, 7(1), 87-104.
• Martí, P., García-Mayor, C., & Serrano-Estrada, L. (2019). Identifying opportunity places for urban regeneration through LBSNs. Cities, 90, 191-206.
• Mkono, M., & Tribe, J. (2016). Beyond reviewing: Uncovering the multiple roles of tourism social media users. Journal of Travel Research, 56(3), 287-298.
• Monteiro, V., Painho, M., & Vaz, E. (2014). Is the heritage really important? A theoretical framework for heritage reputation using citizen sensing. Habitat International, 45, 156-162.
• Murphy, L., Benckendorff, P., Moscardo, G., & Pearce, P. L. (2010). Tourist shopping villages: Forms and functions. Routledge.
• Kaosiri, N. Y., Fiol, C. L. J., Tena, M. A. M., Artola, R. M. R., & Garcia, S. J. (2017). User-generated content sources in social media: A new approach to explore tourist satisfaction. Journal of Travel Research, 58(2), 253-265.
• Nitzl, C., Roldan, J.L., & Cepeda, G. (2016). Mediation analysis in partial least squares path modeling: Helping researchers discuss more sophisticated models. Industrial Management & Data Systems, 116(9), 1849-1864.
• O’Hara, K., Kindberg, T., Glancy, M., Baptista, L., Sukumaran, B., Kahana, G., & Rowbotham, J. (2007). Collecting and sharing location-based content on mobile phones in a zoo visitor experience. Computer Supported Cooperative Work, 16, 11-44.
• Özdemir, G., & Çelebi, D. (2017). A social media framework of cultural museums. Advances in Hospitality and Tourism Research, 5(2), 101-119.
• Park, O. J., & Ryu, J. H. (2019). Cognitive fit effects of online reviews on tourists’ information search. Information Technology & Tourism, 21(3), 313-335.
• Peter, J. P., Olson, J. C., & Grunert, K. G. (1999). Consumer behaviour and marketing strategy. London: McGraw-Hill.
• Pfiffelmann, J., Dens, N., & Soulez, S. (2020). Personalized advertisements with integration of names and photographs: An eye-tracking experiment. Journal of Business Research, 111, 196-207.
• Piccoli, G. (2016). Triggered essential reviewing: The effect of technology affordances on service experience evaluations. European Journal of Information Systems, 25(6), 477-492.
• Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879.
• Presi, C., Maehle, N., & Kleppe, I. A. (2016). Brand selfies: Consumer experiences and marketplace conversations. European Journal of Marketing, 50(9), 1814-1834.
• Putrevu, S., & Lord, K. R. (1994). Comparative and noncomparative advertising: Attitudinal effects under cognitive and affective involvement conditions. Journal of Advertising, 23(2), 77-91.
• Reid, C. (2014). Real-time marketing can keep business successful – but how? Computer Information Science, 37(5), 6–10
• Roma, P., & Aloini, D. (2019). How does brand-related user-generated content differ across social media? Evidence reloaded. Journal of Business Research, 96, 322-339.
• Shankar, V., Kleijnen, M., Ramanathan, S., Rizley, R., Holland, S., & Morrissey, S. (2016). Mobile shopper marketing: Key issues, current insights, and future research avenues. Journal of Interactive Marketing, 34, 37-48.
• Shin, S. Y., Van Der Heide, B., Beyea, D., Dai, Y. N., & Prchal, B. (2017). Investigating moderating roles of goals, reviewer similarity, and self-disclosure on the effect of argument quality of online consumer reviews on attitude formation. Computers in Human Behavior, 76, 218-226.
• Si, R., Arikawa, M., & Shibasaki, R. (2017). Minimizing discontinuity in switching heterogeneous maps for mobile use. International Journal of Cartography, 3(1), 102-120.
• So, K. K. F., Wu, L., Xiong, L., & King, C. (2018). Brand management in the era of social media: Social visibility of consumption and customer brand identification. Journal of Travel Research, 57(6), 727-742.
• Sparks, B. A., Perkins, H. E., & Buckley, R. (2013). Online travel reviews as persuasive communication: The effects of content type, source, and certification logos on consumer behavior. Tourism Management, 39, 1-9.
• Steward, M. D., Narus, J. A., & Roehm, M. L. (2018). An exploratory study of business-to-business online customer reviews: External online professional communities and internal vendor scorecards. Journal of the Academy of Marketing Science, 46(2), 173-189.
• Stone, M. (1974). Cross‐validatory choice and assessment of statistical predictions. Journal of the Royal Statistical Society, 36(2), 111-133.
• Sui, D., & Goodchild, M. (2011). The convergence of GIS and social media: challenges for GIScience. International Journal of Geographical Information Science, 25(11), 1737-1748.
• Sutanto, M. A., & Aprianingsih, A. (2016). The effect of online consumer review toward purchase intention: A study in premium cosmetic in Indonesia. Proceedings of International Conference on Ethics of Business, Economics, and Social Science, 1(1), 219-230.
• Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257-285.
• Sweller, J. (2020). Cognitive load theory and educational technology. Educational Technology Research and Development, 68(1), 1-16.
• Tarver, E. (2019, September 24). Why the “Share a Coke” campaign is so successful. Investopedia Website. Retrieved January 3, 2020, from https://www.investopedia.com/articles/markets/100715/what-makes-share-coke-campaign-so-successful.asp
• Taylor, S. A., & Baker, T. L. (1994). An assessment of the relationship between service quality and customer satisfaction in the formation of consumers' purchase intentions. Journal of Retailing, 70(2), 163-178.
• Tsiakali, K. (2018). User-generated-content versus marketing-generated-content: Personality and content influence on traveler’s behavior. Journal of Hospitality Marketing & Management, 27(8), 946-972.
• Väätäjä, H. K., Ahvenainen, M. J., Jaakola, M. S., & Olsson, T. D. (2013). Exploring augmented reality for user-generated hyperlocal news content. Proceedings of CHI'13 Extended Abstracts on Human Factors in Computing Systems, France, 967-972.
• Vaittinen, T., & McGookin, D. (2018). Uncover: supporting city exploration with egocentric visualizations of location-based content. Personal and Ubiquitous Computing, 22(4), 807-824.
• Vessey, I. (1994). The effect of information presentation on decision making: A cost-benefit analysis. Information & Management, 27(2), 103-119.
• Wang, C., & Zhang, P. (2012). The evolution of social commerce: The people, management, technology, and information dimensions. Communications of the Association for Information Systems, 31(5), 105-125.
• Wang, Y. J., Doss, S. K., Guo, C., & Li, W. (2010). An investigation of Chinese consumers' outshopping motives from a culture perspective. International Journal of Retail & Distribution Management, 38(6), 423-442.
• Wang, Y., & Davidson, M. C. (2010). Chinese holiday makers' expenditure: Implications for marketing and management. Journal of Hospitality Marketing & Management, 19(4), 373-396.
• Werthner, H., & Ricci, F. (2004). E-commerce and tourism. Communications of the ACM, 47(12), 101-105.
• Wiese, M., Martínez-Climent, C., & Botella-Carrubi, D. (2020). A framework for Facebook advertising effectiveness: A behavioral perspective. Journal of Business Research, 109, 76-87.
• Wilkins, H. (2011). Souvenirs: What and why we buy. Journal of Travel Research, 50(3), 239-247. World Tourism Organization (2018). UNWTO Tourism Highlights. Madrid, Spain: UNWTO.
• Wu, J. Y., & Xie, C. (2018). Using time pressure and note-taking to prevent digital distraction behavior and enhance online search performance: Perspectives from the load theory of attention and cognitive control. Computers in Human Behavior, 88, 244-254.
• Wu, Z., Tian, L., Li, P., Wu, T., Jiang, M., & Wu, C. (2018). Generating stable biometric keys for flexible cloud computing authentication using finger vein. Information Sciences, 433, 431-447.
• Xiang, Z., & Gretzel, U. (2010). Role of social media in online travel information search. Tourism Management, 31(2), 179-188.
• Xiang, Z., Magnini, V. P., & Fesenmaier, D. R. (2015). Information technology and consumer behavior in travel and tourism: Insights from travel planning using the internet. Journal of Retailing and Consumer Services, 22, 244-249.
• Xu, Y., & McGehee, N. G. (2012). Shopping behavior of Chinese tourists visiting the United States: Letting the shoppers do the talking. Tourism Management, 33(2), 427-430.
• Ye, Q., Law, R., Gu, B., & Chen, W. (2011). The influence of user-generated content on traveler behavior: An empirical investigation on the effects of e-word-of-mouth to hotel online bookings. Computers in Human Behavior, 27(2), 634-639.
• Yilmaz, A. (2018). Yeni Bir Pazarlama İletişimi Yaklaşımı Gerçek-Zamanlı Pazarlama: Otomobil Markalarının Geleceğe Dönüş Günü Sosyal Medya Pratikleri. Erciyes İletişim Dergisi, 5(4), 423-446.
• Yılmaz, E. (2020). The effects on consumer behavior of hotel related comments on the Tripadvisor website: An Istanbul case. Advances in Hospitality and Tourism Research, 8(1), 1-29.
• Yin, X., & Li, J. (2021). Development of cultural tourism platform based on FPGA and convolutional neural network. Microprocessors and Microsystems, 80, 103579. https://doi.org/10.1016/j.micpro.2020.103579
• Yoon, S. J. (2002). The antecedents and consequences of trust in online-purchase decisions. Journal of Interactive Marketing, 16(2), 47-63.