The spread and extensive use of interactive platforms (Web2.0) have transformed the consumers’ behavior. The influence of social networking sites (SNSs) on consumers’ decision-making is on the radar of a multitude of industries and tourism could not be an exception. An in-depth understanding and insights in the consumer decision-making are valuable and critical in the field of tourism and travel that are consumer-driven and technology dominated industries. This article reports on a research project who’s the main aim was to explore the influence of social networks on consumer decision-making within the context of smart tourism, based on the travel life cycle or customer journey model. Data were collected in July to August 2022 using an online survey and the research model was tested with 630 respondents all SNS’ users within the Chinese context. Findings revealed that the greater influence of SNSs is at the second stage (i.e., on site/at destination) without overlooking the other stages (that are the stages before and after trip). The study’s results also suggested a ranking of influence that SNSs have on the investigated nine digital activities (by descending order): making on-site decisions, information searching, evaluating and sharing (online reviews), on-site evaluation, recommending and advocating tourism destinations and suppliers, recollecting/remembering, experiencing destination, preparing, booking and shopping. The article is completed by making suggestions for scholars, the tourism marketers, and those working with SNSs and other smart technologies.
Published in | International Journal of Hospitality & Tourism Management (Volume 7, Issue 1) |
DOI | 10.11648/j.ijhtm.20230701.11 |
Page(s) | 1-10 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2023. Published by Science Publishing Group |
Tourist Consumers, Decision-Making, Digital Activities, Social Networks, Smart Tourism, Travel Life Cycle
[1] | Xiang, Z., Magnini, V. P., & Felsenmeer, 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. doi: 10.1016/j.jretconser.2014.08.005. |
[2] | Christou, E., Sigala, M., & Gretzel, U. (2016). Social media in travel, tourism and hospitality: Theory, practice and cases (1st ed). New York, NY: Routledge. |
[3] | Gretzel, U. (2018a). From smart destinations to smart tourism regions. Journal of Regional Research, 42 (1), 171-184. |
[4] | Sotiriadis, M. (2022, forthcoming). Tourist consumer behavior in the cyberspace. In Z. Yan (Ed.), Cambridge handbook of cyber behavior. Cambridge, UK: Cambridge University Press. |
[5] | Gretzel, U. (2018b). Tourism and social media. In C. Cooper, W. Gartner, N. Scott, & S. Volo (Eds.). The Sage handbook of tourism management (Vol. 2, pp. 415-432). Thousand Oaks, CA: Sage. |
[6] | Reportlinker (2020). Global business travel market size, trends and insights (2020 ed.). https://www.reportlinker.com/report-summary/Tourism/3288/. Accessed 22 June 2021. |
[7] | Trekksoft (2020) 65 Travel statistics to know in 2019 and 2020. https://www.trekksoft.com/en/blog/ Accessed 18 March 2021. |
[8] | Statista (2020a). Statistics. https://www.statista.com/statistics/278414/ Accessed 10 June 2021. |
[9] | Socialtoaster (2019, August). Travel and tourism statistics. https://www.socialtoaster.com/ Accessed on 18 June 2021. |
[10] | Charlton, G. (2020). Digital trends in the travel industry: 12 fascinating stats. https://www.salecycle.com/blog/stats/ Accessed 20 June 2021. |
[11] | Munar, A. M. (2016). Social media. In J. Jafari & H. Xiao (Eds), Encyclopedia of Tourism (pp. 869-871). Cham, Switzerland: Springer. |
[12] | Ukpabi, D. C., & Karjaluoto, H. (2018). What drives travelers' adoption of user-generated content? A literature review. Tourism Management Perspectives, 28, 251-273. doi: 10.1016/j.tmp.2018.03.006. |
[13] | Varkaris, E., & Neuhofer, B. (2017). The influence of social media on the consumers’ hotel decision journey. Journal of Hospitality and Tourism Technology, 8, 101-118. doi: 10.1108/JHTT-09-2016-0058. |
[14] | Ye, H. B., Ye, H., & Law, R. (2020). Systematic review of smart tourism research. Sustainability, 12 (8), 3401. https://doi.org/10.3390/su12083401 |
[15] | Sirakaya-Turk, E., & Woodside, A. (2005). Building and testing theories of decision making by travelers. Tourism Management, 26, 815-832. https://doi.org/10.1016/j.tourman.2004.05.004 |
[16] | Cohen, S. A., Prayag, G., & Moital, M. (2014). Consumer behaviour in tourism: Concepts, influences and opportunities. Current Issues in Tourism, 17 (10), 872-909. doi: 10.1080/13683500.2013.850064. |
[17] | Decrop, A (2016). Decision-making. In: J. Jafari, & H. Xiao (Eds), Encyclopedia of tourism (pp. 226-227). Cham, Switzerland: Springer. |
[18] | Kotler, P., Bowen, J. T., Makens, J., & Baloglu, S. (2016). Marketing for hospitality and tourism (7th ed.). Essex, UK: Pearson. |
[19] | Ramos, C. M. Q., Ribeiro de Almeida, C., & Fernández, P. O. (2019). Handbook of research on social media applications for the tourism and hospitality sector. Hershey, PA: IGI-Global. |
[20] | Sotiriadis, M. (2017). Sharing tourism experiences in social media: a literature review and a set of suggested business strategies. International Journal of Contemporary Hospitality Management, 29, 179-225. doi: 10.1108/IJCHM-05-2016-0300. |
[21] | Stylos, N. (2019). Technological evolution and tourist decision-making: a perspective article. Tourism Review, 75, 273-278. doi: 10.1108/TR-05-20190167. |
[22] | Yoo, K., & Gretzel, U. (2016). Use and creation of social media by travellers. In M. Sigala, E. Christou & U. Gretzel (Eds.), Social media in travel, tourism and hospitality (pp. 189-205). New York, NY: Routledge. |
[23] | Fotis, J., Buhalis, D., & Rossides, N. (2011). Social media impact on holiday travel planning: The case of the Russian and the FSU markets. International Journal of Online Marketing, 1 (4), 1-19. doi: 10.4018/ijom.2011100101. |
[24] | Webintravel (2019) Booking.com survey. https://www.webintravel.com/. Accessed 22 June 2021. |
[25] | Liu, Y., Yang, Q., & Pu, B. (2015). The research of internet information services on the impact of tourism decision-making. The Open Cybernetics & Systemics Journal, 9, 1840-1845. doi: 10.2174/1874110X01509011840. |
[26] | Park, O.-J., Kim, M. G., & Ryu, J-H. (2019). Interface effects of online media on tourists’ attitude changes. Tourism Management Perspectives, 30, 262–274. https://doi.org/10.1016/j.tmp.2019.03.005 |
[27] | Sotiriadis, M. (2020). Smart tourism management framework. In Encyclopedia https://encyclopedia.pub/1633 |
[28] | Gretzel, U., Sigala, M., Xiang, Z., & Koo, C. (2015). Smart tourism: foundations and developments. Electronic Markets, 25, 179-188. https://doi.org/10.1007/s12525-015-0196-8 |
[29] | Femenia-Serra, F., Neuhofer, B., & Ivars-Baidal, J. A. (2019). Towards a conceptualization of smart tourists and their role within the smart destination scenario. The Service Industries Journal, 39, 109-133. doi: 10.1080/02642069.2018.1508458. |
[30] | Shen, S., Sotiriadis, M., & Zhang, Y. (2020). The influence of smart technologies on customer journey in tourist attractions within the smart tourism management framework. Sustainability, 12 (10), 4157. doi: 10.3390/su12104157. |
[31] | Femenia-Serra, F., & Neuhofer, B. (2018). Smart tourism experiences: conceptualisation, key dimensions and research agenda. Investigaciones Regionales – Journal of Regional Research, 42, 129-150. |
[32] | Buhalis, D., & Sinarta, Y. (2019). Real-time co-creation and nowness service: Lessons from tourism and hospitality. Journal of Travel & Tourism Marketing, 36, 563–582. https://doi.org/10.1080/10548408.2019.1592059. |
[33] | Sotiriadis, M., Shen, S., & Zhou, Q. (2020). Influence of social networks on responsible behavior by smart tourists. In F. J. Martinez-Lopez, & S. D'Alessandro (Eds), Advances in Digital Marketing and eCommerce First International Conference, 2020, Barcelona 24-26 June 2020 (pp. 9-16). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-030-47595-6-2 |
[34] | Yachin, J. M. (2018). The ‘customer journey’: learning from customers in tourism experience encounters. Tourism Management Perspectives, 28, 201–210. https://doi.org/10.1016/j.tmp.2018.09.002 |
[35] | Morrison, A. M. (2019). Marketing and managing tourism destinations (2nd ed). New York, NY: Routledge. |
[36] | Gajdosik, T. (2019). Smart tourists as a profiling market segment: Implications for DMOs. Tourism Economics, 22 (4), 793–808. doi: 10.1177/1354816619844368. |
[37] | Dorcic, J., Komsic, J., & Markovic, S. (2019). Mobile technologies and applications towards smart tourism: State-of-the-art. Tourism Review, 74, 82–103. doi: 10.1108/TR-07-2017-0121. |
[38] | Neuhofer, B. (2016). An exploration of the technology enhanced tourist experience. European Journal of Tourism Research, 12, 220-223. https://ejtr.vumk.eu/index.php/about/article/view/225 |
[39] | Choi, S., Lehto, C., Morrison, A. M., & Jang, S. (2012). Structure of travel planning processes and information use patterns. Journal of Travel Research, 51, 26–40. https://doi.org/10.1177/0047287510394191 |
[40] | Statista (2020b). Social networking in China. https://www.statista.com/topics/1170/ Accessed 20 June 2021. |
[41] | McKinsey (2018). Chinese tourists: dispelling the myths. An in-depth look at China’s outbound tourist market. https://www.mckinseychina.com Accessed 18 June 2021. |
[42] | Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis: a global perspective (7th ed.). New York: Pearson. |
[43] | Somekh, B., & Lewin, C. (Eds) (2005). Research methods in the social sciences. London, UK: Sage Publications. |
APA Style
Marios Sotiriadis, Dimitrios Koufopoulos, Qing Zhou. (2023). Social Networking Sites’ Influence on Consumer Decision-making Within the Context of Smart Tourism. International Journal of Hospitality & Tourism Management, 7(1), 1-10. https://doi.org/10.11648/j.ijhtm.20230701.11
ACS Style
Marios Sotiriadis; Dimitrios Koufopoulos; Qing Zhou. Social Networking Sites’ Influence on Consumer Decision-making Within the Context of Smart Tourism. Int. J. Hosp. Tour. Manag. 2023, 7(1), 1-10. doi: 10.11648/j.ijhtm.20230701.11
AMA Style
Marios Sotiriadis, Dimitrios Koufopoulos, Qing Zhou. Social Networking Sites’ Influence on Consumer Decision-making Within the Context of Smart Tourism. Int J Hosp Tour Manag. 2023;7(1):1-10. doi: 10.11648/j.ijhtm.20230701.11
@article{10.11648/j.ijhtm.20230701.11, author = {Marios Sotiriadis and Dimitrios Koufopoulos and Qing Zhou}, title = {Social Networking Sites’ Influence on Consumer Decision-making Within the Context of Smart Tourism}, journal = {International Journal of Hospitality & Tourism Management}, volume = {7}, number = {1}, pages = {1-10}, doi = {10.11648/j.ijhtm.20230701.11}, url = {https://doi.org/10.11648/j.ijhtm.20230701.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijhtm.20230701.11}, abstract = {The spread and extensive use of interactive platforms (Web2.0) have transformed the consumers’ behavior. The influence of social networking sites (SNSs) on consumers’ decision-making is on the radar of a multitude of industries and tourism could not be an exception. An in-depth understanding and insights in the consumer decision-making are valuable and critical in the field of tourism and travel that are consumer-driven and technology dominated industries. This article reports on a research project who’s the main aim was to explore the influence of social networks on consumer decision-making within the context of smart tourism, based on the travel life cycle or customer journey model. Data were collected in July to August 2022 using an online survey and the research model was tested with 630 respondents all SNS’ users within the Chinese context. Findings revealed that the greater influence of SNSs is at the second stage (i.e., on site/at destination) without overlooking the other stages (that are the stages before and after trip). The study’s results also suggested a ranking of influence that SNSs have on the investigated nine digital activities (by descending order): making on-site decisions, information searching, evaluating and sharing (online reviews), on-site evaluation, recommending and advocating tourism destinations and suppliers, recollecting/remembering, experiencing destination, preparing, booking and shopping. The article is completed by making suggestions for scholars, the tourism marketers, and those working with SNSs and other smart technologies.}, year = {2023} }
TY - JOUR T1 - Social Networking Sites’ Influence on Consumer Decision-making Within the Context of Smart Tourism AU - Marios Sotiriadis AU - Dimitrios Koufopoulos AU - Qing Zhou Y1 - 2023/01/10 PY - 2023 N1 - https://doi.org/10.11648/j.ijhtm.20230701.11 DO - 10.11648/j.ijhtm.20230701.11 T2 - International Journal of Hospitality & Tourism Management JF - International Journal of Hospitality & Tourism Management JO - International Journal of Hospitality & Tourism Management SP - 1 EP - 10 PB - Science Publishing Group SN - 2640-1800 UR - https://doi.org/10.11648/j.ijhtm.20230701.11 AB - The spread and extensive use of interactive platforms (Web2.0) have transformed the consumers’ behavior. The influence of social networking sites (SNSs) on consumers’ decision-making is on the radar of a multitude of industries and tourism could not be an exception. An in-depth understanding and insights in the consumer decision-making are valuable and critical in the field of tourism and travel that are consumer-driven and technology dominated industries. This article reports on a research project who’s the main aim was to explore the influence of social networks on consumer decision-making within the context of smart tourism, based on the travel life cycle or customer journey model. Data were collected in July to August 2022 using an online survey and the research model was tested with 630 respondents all SNS’ users within the Chinese context. Findings revealed that the greater influence of SNSs is at the second stage (i.e., on site/at destination) without overlooking the other stages (that are the stages before and after trip). The study’s results also suggested a ranking of influence that SNSs have on the investigated nine digital activities (by descending order): making on-site decisions, information searching, evaluating and sharing (online reviews), on-site evaluation, recommending and advocating tourism destinations and suppliers, recollecting/remembering, experiencing destination, preparing, booking and shopping. The article is completed by making suggestions for scholars, the tourism marketers, and those working with SNSs and other smart technologies. VL - 7 IS - 1 ER -