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Extending the UTAUT Model to Examine the Influence of Social Media on Tourists’ Destination Selection
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Purpose : The main goal of this study was to examine social media’s influence on tourists while selecting a destination. Methodology : The data were gathered using a purposive sampling technique from 340 visitors of tourist destinations in tri-city (Chandigarh, Mohali, and Panchkula) and Delhi. The sampled group consisted of travelers who accessed social media platforms. PLS-SEM 3.3.3 version was used for data analysis.
Findings : When it comes to the selection of destinations, social media has a significant influence on visitors’ decision-making. The results of this study revealed that performance expectancy, social influence, perceived risk, effort expectancy, and perceived trust significantly influenced behavioral intentions to use social media for destination selection. The determinants, such as habit and behavioral intentions, influenced tourists’ actual usage of social media.
Implications : The study’s findings are meant to provide the major participants in the tourism industry with insights into tourists’ behavior. All the parties involved in the tourism business must understand the pertinence of social media. To reach customers who prefer to use technology-based solutions, social media networking sites are essential. Also, including social media in a marketing strategy makes it possible to provide users with adequate and necessary information.
Originality : This research concentrates on web-based technology, such as social media, to better understand how it influences visitors when they use these technologies to choose their destinations by posing questions to scholars and practitioners.
Keywords
Social Media, Tourism, Destination, Consumer Behavior, Destination Selection, Tourist Behavior, UTAUT Model, PLS-SEM.
Paper Submission Date : July 5, 2022 ; Paper sent back for Revision : March 1, 2023 ; Paper Acceptance Date : March 15, 2023 ; Paper Published Online : April 15, 2023
- Aftab, S., & Khan, M. M. (2019). Role of social media in promoting tourism in Pakistan. Journal of Social Sciences and Humanities, 58(1), 101–113. https://doi.org/10.46568/jssh.v58i1.131
- Agarwal, A., & Singh, M. R. (2018). The relationship between retail experience, customer satisfaction, and behavioral intention : Exploring the consumer shopping behavior in unorganized retail settings. Indian Journal of Marketing, 48(1), 9–27. https://doi.org/10.17010/ijom/2018/v48/i1/120733
- Agarwal, S., & Mewafarosh, R. (2021). Linkage of social media engagement with fomo and subjective well being. Journal of Content, Community & Communication, 13(7), 46–57.
- Akman, I., & Mishra, A. (2017). Factors influencing consumer intention in social commerce adoption. Information Technology & People, 30(2), 356–370. https://doi.org/10.1108/ITP-01-2016-0006
- Alalwan, A. A., Dwivedi, Y. K., Rana, N. P., & Algharabat, R. (2018). Examining factors influencing Jordanian customers’ intentions and adoption of internet banking: Extending UTAUT2 with risk. Journal of Retailing and Consumer Services, 40, 125–138. https://doi.org/10.1016/j.jretconser.2017.08.026
- 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
- Arora, T., Agarwal, B., & Kumar, A. (2018). A study of millennials’s preferences for social media advertising in Delhi NCR. Indian Journal of Marketing, 48(10), 34–51. https://doi.org/10.17010/ijom/2018/v48/i10/132334
- Baptista, G., & Oliveira, T. (2015). Understanding mobile banking: The unified theory of acceptance and use of technology combined with cultural moderators. Computers in Human Behavior, 50, 418–430. https://doi.org/10.1016/j.chb.2015.04.024
- Bauer, R. A. (1960). Consumer behavior as risk taking. In R. S. Hancock (ed.), Dynamic marketing for a changing world. Proceedings of the 43rd Conference of the American Marketing Association (pp. 389–398). American Marketing Conference.
- Biswakarma, G. (2017). Impact of destination image and perceived risk on behavioral intention of travelers to Nepal. International Journal of Advanced Research and Publications, 1(5), 62–71.
- Chaffey, D. (2023). Global social media statistics research summary 2023. Smart Insights. https://www.smartinsights.com/social-media-marketing/social-media-strategy/new-global-social-media-research/
- Chao, C.-M. (2019). Factors determining the behavioral intention to use mobile learning: An application and extension of the UTAUT model. Frontiers in Psychology, 10. https://doi.org/10.3389/fpsyg.2019.01652
- Chen, C.-P., Lai, H.-M., & Ho, C.-Y. (2015). Why do teachers continue to use teaching blogs? The roles of perceived voluntariness and habit. Computers & Education, 82, 236–249. https://doi.org/10.1016/j.compedu.2014.11.017
- Chen, Y.-H., Hsu, I.-C., & Lin, C.-C. (2010). Website attributes that increase consumer purchase intention: A conjoint analysis. Journal of Business Research, 63(9–10), 1007–1014. https://doi.org/10.1016/j.jbusres.2009.01.023
- Cohen, J. (1998). Statistical power analysis for the behavioral sciences (2nd ed.). Routledge. https://doi.org/10.4324/9780203771587
- Curtis, L., Edwards, C., Fraser, K. L., Gudelsky, S., Holmquist, J., Thornton, K., & Sweetser, K. D. (2010). Adoption of social media for public relations by nonprofit organizations. Public Relations Review, 36(1), 90–92. https://doi.org/10.1016/j.pubrev.2009.10.003
- Di Pietro, L., Di Virgilio, F., & Pantano, E. (2012). Social network for the choice of tourist destination: Attitude and behavioural intention. Journal of Hospitality and Tourism Technology, 3(1), 60–76. https://doi.org/10.1108/17579881211206543
- Geisser, S. (1974). A predictive approach to the random effect model. Biometrika, 61(1), 101–107. https://doi.org/10.1093/biomet/61.1.101
- Godoe, P., & Johansen, T. S. (2012). Understanding adoption of new technologies: Technology readiness and technology acceptance as an integrated concept. Journal of European Psychology Students, 3(1), 38–52. https://doi.org/10.5334/jeps.aq
- Gold, A. H., Malhotra, A., & Segars, A. H. (2001). Knowledge management: An organizational capabilities perspective. Journal of Management Information Systems, 18(1), 185–214. https://doi.org/10.1080/07421222.2001.11045669
- Gu, J.-C., Lee, S.-C., & Suh, Y.-H. (2009). Determinants of behavioral intention to mobile banking. Expert Systems with Applications, 36(9), 11605–11616. https://doi.org/10.1016/j.eswa.2009.03.024
- Gupta, A., Dogra, N., & George, B. (2018). What determines tourist adoption of smartphone apps? An analysis based on the UTAUT-2 framework. Journal of Hospitality and Tourism Technology, 9(1), 50–64. https://doi.org/10.1108/JHTT-02-2017-0013
- 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. https://doi.org/10.1108/EBR-11-2018-0203
- Hair Jr, J. F., Howard, M. C., & Nitzl, C. (2020). Assessing measurement model quality in PLS-SEM using confirmatory composite analysis. Journal of Business Research, 109, 101–110. https://doi.org/10.1016/j.jbusres.2019.11.069
- Hansen, J. M., Saridakis, G., & Benson, V. (2018). Risk, trust, and the interaction of perceived ease of use and behavioral control in predicting consumers’ use of social media for transactions. Computers in Human Behavior, 80, 197–206. https://doi.org/10.1016/j.chb.2017.11.010
- Harvey Tanakinjal, G., Deans, K. R., & Gray, B. J. (2010). Third screen communication and the adoption of mobile marketing: A Malaysia perspective. International Journal of Marketing Studies, 2(1), 36–47. https://doi.org/10.5539/ijms.v2n1p36
- Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: Updated guidelines. Industrial Management & Data Systems, 116(1), 2–20. https://doi.org/10.1108/IMDS-09-2015-0382
- 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, 115–135. https://doi.org/10.1007/s11747-014-0403-8
- Hew, J.-J., Lee, V.-H., Ooi, K.-B., & Wei, J. (2015). What catalyses mobile apps usage intention: An empirical analysis. Industrial Management & Data Systems, 115(7), 1269–1291. https://doi.org/10.1108/IMDS-01-2015-0028
- Huh, H. J., Kim, T. (Terry), & Law, R. (2009). A comparison of competing theoretical models for understanding acceptance behavior of information systems in upscale hotels. International Journal of Hospitality Management, 28(1), 121–134. https://doi.org/10.1016/j.ijhm.2008.06.004
- Humaid, A. B., & Ibrahim, Y. M. (2019). The examination of factors influencing Saudi small businesses’ social media adoption, by using UTAUT model. International Journal of Business Administration, 10(2), 96–114. https://doi.org/10.5430/ijba.v10n2p96
- Jore, S., Mathur, K., & Boghani, C. (2020). Impact of social media usage on emotional imbalance. NMIMS Management Review, 38(1), 69–101. https://management-review.nmims.edu/wp-content/uploads/2020/01/MR-1-69-101_compressed.pdf
- 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
- Kurup, A. J., & Jain, P. (2018). Effect of e-loyalty cues on repurchase behavioural intentions among online shoppers. Indian Journal of Marketing, 48(11), 7–22. https://doi.org/10.17010/ijom/2018/v48/i11/137982
- Lee, W.-K. (2014). The temporal relationships among habit, intention and IS uses. Computers in Human Behavior, 32, 54–60. https://doi.org/10.1016/j.chb.2013.11.010
- Liao, C., Palvia, P., & Lin, H.-N. (2006). The roles of habit and web site quality in e-commerce. International Journal of Information Management, 26(6), 469–483. https://doi.org/10.1016/j.ijinfomgt.2006.09.001
- 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), 705–737. https://doi.org/10.2307/25148817
- Musa, A., Khan, H. U., & AlShare, K. A. (2015). Factors influence consumers’ adoption of mobile payment devices in Qatar. International Journal of Mobile Communications, 13(6), 670–687. https://doi.org/10.1504/IJMC.2015.072100
- Panda, R., Swar, B. N., & Mukerjee, K. (2014). Factors affecting brand trust: An exploratory investigation among Indian retail consumers. Indian Journal of Marketing, 44(7), 7–17. https://doi.org/10.17010/ijom/2014/v44/i7/80362
- Podsakoff, P. M., MacKenzie, S. B., & Podsakoff, N. P. (2012). Sources of method bias in social science research and recommendations on how to control it. Annual Review of Psychology, 63(1), 539–569. https://doi.org/10.1146/annurev-psych-120710-100452
- Puriwat, W., & Tripopsakul, S. (2021). Explaining social media adoption for a business purpose: An application of the UTAUT model. Sustainability, 13(4), 2082. https://doi.org/10.3390/su13042082
- Rahi, S., Othman Mansour, M. M., Alghizzawi, M., & Alnaser, F. M. (2019). Integration of UTAUT model in internet banking adoption context: The mediating role of performance expectancy and effort expectancy. Journal of Research in Interactive Marketing, 13(3), 411–435. https://doi.org/10.1108/JRIM-02-2018-0032
- Rasoolimanesh, S. M., Taheri, B., Gannon, M., Vafaei-Zadeh, A., & Hanifah, H. (2019). Does living in the vicinity of heritage tourism sites influence residents’ perceptions and attitudes? Journal of Sustainable Tourism, 27(9), 1295–1317. https://doi.org/10.1080/09669582.2019.1618863
- Sabari Shankar, R. (2020). Impact of cognitive and affective image on tourists’ travel motivation. Indian Journal of Marketing, 50(5–7), 35–45. https://doi.org/10.17010/ijom/2020/v50/i5-7/152118
- San Martín, H., & Herrero, Á. (2012). Influence of the user’s psychological factors on the online purchase intention in rural tourism: Integrating innovativeness to the UTAUT framework. Tourism Management, 33(2), 341–350. https://doi.org/10.1016/j.tourman.2011.04.003
- Saprikis, V. (2021). Factors that determine the adoption intention of direct mobile purchases through social media apps. Sustainability, 12(11), 449. https://doi.org/10.3390/info12110449
- Schnall, R., Higgins, T., Brown, W., Carballo-Dieguez, A., & Bakken, S. (2015). Trust, perceived risk, perceived ease of use and perceived usefulness as factors related to mHealth technology use. Studies in Health Technology and Informatics, 216, 467–471.
- Shamsi, M. S., Narula, S., & Sharma, A. (2022). Does environmental awareness via SNSs create sustainable consumption intention among the millennials? Journal of Content, Community and Communication, 15(8), 100–116. https://doi.org/10.31620/jccc.06.22/08
- Sharma, N., & Khatri, B. (2021). A review on green human resource management Practices and employee’s green behavior. Indian Journal of Natural Sciences, 12(65), 29629–29638.
- Sharma, N., Khatri, B., & Attri, A. K. (2021). Impact of green HRM practices on employees’ behavior in IT sector. Pacific Business Review International, 13(10), 57–68.
- Shukla, P., Vyas, P. H., & Pandya, M. N. (2020). An empirical study on actual experience of selected social media users in Vadodara city of Gujarat state. NMIMS Journal of Economics and Public Policy, 5(4), 61–87.
- Simon, J. P. (2016). User generated content – users, community of users and firms: Toward new sources of co-innovation? Info, 18(6), 4–25. https://doi.org/10.1108/info-04-2016-0015
- Stone, M. (1974). Cross-validatory choice and assessment of statistical predictions. Journal of the Royal Statistical Society: Series B (Methodological), 36(2), 111–133. https://doi.org/10.1111/j.2517-6161.1974.tb00994.x
- Tak, P., & Panwar, S. (2017). Using UTAUT 2 model to predict mobile app based shopping: Evidences from India. Journal of Indian Business Research, 9(3), 248–264. https://doi.org/10.1108/JIBR-11-2016-0132
- Tan, G. W.-H., Ooi, K.-B., Chong, S.-C., & Hew, T.-S. (2014). NFC mobile credit card: The next frontier of mobile payment? Telematics and Informatics, 31(2), 292–307. https://doi.org/10.1016/j.tele.2013.06.002
- Vega, A., Ramírez-Benavidez, K., & Guerrero, L. A. (2019). Tool UTAUT applied to measure interaction experience with NAO Robot. In, M. Kurosu (eds.), Human-computer interaction. Design practice in contemporary societies. HCII 2019. Lecture notes in computer science (Vol. 11568, pp. 501–512). Springer. https://doi.org/10.1007/978-3-030-22636-7_38
- Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
- Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178. https://doi.org/10.2307/41410412
- Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926
- Williams, M. L., Saunderson, I. P., & Dhoest, A. (2021). Students’ perceptions of the adoption and use of social media in academic libraries: A UTAUT study. Communicatio, 47(1), 76–94. https://doi.org/10.1080/02500167.2021.1876123
- Wolf, M., Sims, J., & Yang, H. (2018). Social media? what social media? Academy for Information Systems Conference Proceedings 2018, 3. https://aisel.aisnet.org/ukais2018/3
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