The impact of vlogs on travellers’ intentions to use semi-high speed trains: A study on Vande Bharat Express

Khalil Ahmad; Bhuvanesh Kumar Sharma; Mahima Mishra; Ritesh Khatwani; Pradip Kumar Mitra

doi:10.24294/jipd.v8i6.2989

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The impact of vlogs on travellers’ intentions to use semi-high speed trains: A study on Vande Bharat Express

Khalil Ahmad

Bhuvanesh Kumar Sharma

Mahima Mishra

Ritesh Khatwani

Pradip Kumar Mitra

Journal of Infrastructure Policy and Development 2024, 8(6), 2989; https://doi.org/10.24294/jipd.v8i6.2989

Submitted：07 Oct 2023

Accepted：06 Dec 2023

Published：11 Jun 2024

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Abstract

Recently, there has been a lot of buzz on social media, particularly in the form of vlogs, about newly launched semi-high speed trains in India popularly known as Vande Bharat Express. However, no information is available about the extent to which people trust the vlogs promoting the trains and the trains themselves. Therefore, this research aims to investigate the impact of watching vlogs about semi-high speed trains on the trust and attitude towards them, and how they perceive the risks associated. This study is guided by the trust transfer theory to investigate how trust transference can lead to a traveler’s intent to use semi-high speed trains. This study involved 338 participants. The relationship between variables was examined using SmartPLS 4 software. The findings indicate that trust in semi-high speed trains can be established through vlogs leading to intention to use. On the theoretical side, it provides insight into how trust, attitude, and perceived risk can affect the adoption of new technology, while on the practical side, it helps to understand how vlog coverage can be used as a tool to increase trust and ultimately drive adoption. Vlog coverage, trust in vlog content, trust in semi-high speed trains and behavioural intention altogether are not well understood in current literature despite the important implication for managers, academicians and consumers alike. This study contributes to the field of transportation and railways, social media and communication, and hospitality and tourism research. The study helps policy makers to understand users’ characteristics regarding the latest social media tools and adopt them accordingly to provide a better governance policy.

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References

Abubakar, A. M. (2016). Does eWOM influence destination trust and travel intention: A medical tourism perspective. Economic Research-Ekonomska Istraživanja, 29(1), 598–611. https://doi.org/10.1080/1331677X.2016.1189841

Ajzen, I. (1991). The Theory of Planned Behaviour. Organizational behavior and human decision processes, 50(1), 179–211. https://doi.org/10.47985/dcidj.475

Ali, F., Rasoolimanesh, S. M., Sarstedt, M., et al. (2018). An assessment of the use of partial least squares structural equation modeling (PLS-SEM) in hospitality research. International Journal of Contemporary Hospitality Management, 30(1), 514–538. https://doi.org/10.1108/IJCHM-10-2016-0568

Ashton, D., & Patel, K. (2018). Vlogging Careers: Everyday Expertise, Collaboration and Authenticity. The New Normal of Working Lives, 147–169. https://doi.org/10.1007/978-3-319-66038-7

Aslam, W., Mehfooz Khan, S., Arif, I., & Zaman, S. U. (2022). Vlogger’s Reputation: Connecting Trust and Perceived Usefulness of Vloggers’ Recommendation with Intention to Shop Online. Journal of Creative Communications, 17(1), 49–66. https://doi.org/10.1177/09732586211048034

Bartin, B., Ozbay, K., & Yang, H. (2018). Evaluation framework for mobile ticketing applications in public transit: A case study. IET Intelligent Transport Systems, 12(9), 1166–1173. https://doi.org/10.1049/iet-its.2018.5248

Bassey, B. E., Ngonso, B. F., & Olley, W. O. (2023). Parents’ demographics and perception of children’s reactions to noodles advertisements in Uyo Municipality, Akwa Ibom State, Nigeria. Ianna Journal of Interdisciplinary Studies, 5, 93–108.

Berryman, R. (2020). Vloggers. The International Encyclopedia of Gender, Media, and Communication, 1–5. https://doi.org/10.1002/9781119429128.iegmc044

Borhan, M. N., Ibrahim, A. N. H., & Miskeen, M. A. A. (2019). Extending the theory of planned behaviour to predict the intention to take the new high-speed rail for intercity travel in Libya: Assessment of the influence of novelty seeking, trust and external influence. Transportation Research Part A: Policy and Practice, 130, 373–384. https://doi.org/10.1016/j.tra.2019.09.058

Chemli, S., Toanoglou, M., & Valeri, M. (2022). The impact of Covid-19 media coverage on tourist’s awareness for future travelling. Current Issues in Tourism, 25(2), 179–186. https://doi.org/10.1080/13683500.2020.1846502

Chen, W. K., Ling, L. S., Jie, H. Y., et al. (2022). How Travel Vlogs on YouTube Influence Consumer Travel Behavior in Indonesia: Empirical Evidence from fsQCA. 2022 IEEE 23rd International Conference on Information Reuse and Integration for Data Science (IRI), 95–100. https://doi.org/10.1109/IRI54793.2022.00032

Chen, X., Huang, Q., Davison, R. M., & Hua, Z. (2015). What Drives Trust Transfer? the Moderating Roles of Seller-Specific and General Institutional Mechanisms. International Journal of Electronic Commerce, 20(2), 261–289. https://doi.org/10.1080/10864415.2016.1087828

Cheng, W., Tian, R., & Chiu, D. K. W. (2023). Travel vlogs influencing tourist decisions: information preferences and gender differences. Aslib Journal of Information Management, ahead-of-print. https://doi.org/10.1108/AJIM-05-2022-0261

Cheng, X., Fu, S., & de Vreede, G.-J. (2017). Understanding trust influencing factors in social media communication: A qualitative study. International Journal of Information Management, 37(2), 25–35. https://doi.org/https://doi.org/10.1016/j.ijinfomgt.2016.11.009

Cheng, X., Guo, F., Chen, J., et al. (2019). Exploring the Trust Influencing Mechanism of Robo-Advisor Service: A Mixed Method Approach. Sustainability, 11(18). https://doi.org/10.3390/su11184917

Cheng, Y. H. (2010). High-speed rail in Taiwan: New experience and issues for future development. Transport Policy, 17(2), 51–63. https://doi.org/10.1016/j.tranpol.2009.10.009

Clever, R., & Hansen, M. M. (2008). Interaction of air and high-speed rail in Japan. Transportation Research Record, 2043(1), 1–12.

Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2013). Applied multiple regression/correlation analysis for the behavioral sciences. Routledge.

De Veirman, M., Hudders, L., & Nelson, M. R. (2019). What Is Influencer Marketing and How Does It Target Children? A Review and Direction for Future Research. Frontiers in Psychology, 10. https://doi.org/10.3389/fpsyg.2019.02685

Debbag, M., & Fidan, M. (2021). Vlogs for enhancing trainee teachers’ motivational beliefs about school experience and teaching practice: They are on the factory floor for professional development. Journal of Research on Technology in Education, 54 (5), 719–735. https://doi.org/10.1080/15391523.2021.1911721

Dowling, G. R. (1986). Perceived Risk: The Concept and Its Measurement. Psychology and Marketing, 3(3), 193–210. https://doi.org/10.1002/mar.4220030307

Fischer, A. R. H., & De Vries, P. W. (2008). Everyday behaviour and everyday risk: An approach to study people’s responses to frequently encountered food related health risks. Health, Risk & Society, 10(4), 385–397.

Fitriani, W. R., Mulyono, A. B., Hidayanto, A. N., & Munajat, Q. (2020). Reviewer’s communication style in YouTube product-review videos: does it affect channel loyalty? Heliyon, 6(9), e04880. https://doi.org/10.1016/j.heliyon.2020.e04880

Folkvord, F., Bevelander, K. E., Rozendaal, E., & Hermans, R. (2019). Children’s bonding with popular YouTube vloggers and their attitudes toward brand and product endorsements in vlogs: an explorative study. Young Consumers, 20(2), 77–90. https://doi.org/10.1108/YC-12-2018-0896

Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39–50.

Gupta, D., & Garg, A. (2020). Sustainable development and carbon neutrality: Integrated assessment of transport transitions in India. Transportation Research Part D: Transport and Environment, 85, 102474. https://doi.org/https://doi.org/10.1016/j.trd.2020.102474

Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2021). A primer on partial least squares structural equation modeling (PLS-SEM). Sage publications.

Hajli, N. (2014). A study of the impact of social media on consumers. International Journal of Market Research, 56(3), 387–404. https://doi.org/10.2501/IJMR-2014-025

Han, H., Chua, B. L., & Hyun, S. S. (2020). Consumers’ intention to adopt eco-friendly electric airplanes: The moderating role of perceived uncertainty of outcomes and attachment to eco-friendly products. International Journal of Sustainable Transportation, 14(9), 671–685. https://doi.org/10.1080/15568318.2019.1607957

Harridge‐March, S. (2006). Can the building of trust overcome consumer perceived risk online? Marketing Intelligence & Planning, 24(7), 746–761. https://doi.org/10.1108/02634500610711897

Harvey, J., Thorpe, N., Caygill, M., & Namdeo, A. (2014). Public attitudes to and perceptions of high speed rail in the UK. Transport Policy, 36, 70–78. https://doi.org/10.1016/j.tranpol.2014.07.008

He, X., Wu, T., Zou, Y., et al. (2017). Recent developments of high-speed railway bridges in China. Structure and Infrastructure Engineering, 13(12), 1584–1595.

Hwang, J., Kim, J. J., & Lee, S. (2020). The Importance of Philanthropic Corporate Social Responsibility and Its Impact on Attitude and Behavioral Intentions: The Moderating Role of the Barista Disability Status. Sustainability, 12(15), 6235. https://doi.org/10.3390/su12156235

Imaz, A., Nurul Habib, K. M., Shalaby, A., & Idris, A. O. (2015). Investigating the factors affecting transit user loyalty. Public Transport, 7(1), 39–60. https://doi.org/10.1007/s12469-014-0088-x

Jacoby, J., & Kaplan, L. B. (1972). The Components of Perceived Risk. Association for Consumer Research, 1972, 382–393.

Jung, H. J., Choi, Y. J., & Oh, K. W. (2020). Influencing factors of chinese consumers’ purchase intention to sustainable apparel products: Exploring consumer “attitude–behavioral intention” gap. Sustainability (Switzerland), 12(5), 1–14. https://doi.org/10.3390/su12051770

Khamis, S., Ang, L., & Welling, R. (2017). Self-branding, ‘micro-celebrity’ and the rise of Social Media Influencers. Celebrity Studies, 8(2), 191–208. https://doi.org/10.1080/19392397.2016.1218292

Kim, A., & 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. https://doi.org/https://doi.org/10.1016/j.jbusres.2011.10.014

Kim, H., Sultana, S., & Weber, J. (2018). A geographic assessment of the economic development impact of Korean high-speed rail stations. Transport Policy, 66, 127–137.

Kim, M. J., Lee, C. K., Petrick, J. F., & Kim, Y. S. (2020). The influence of perceived risk and intervention on international tourists’ behavior during the Hong Kong protest: Application of an extended model of goal-directed behavior. Journal of Hospitality and Tourism Management, 45, 622–632. https://doi.org/10.1016/j.jhtm.2020.11.003

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

Kuberkar, S., & Singhal, T. K. (2020). Factors influencing adoption intention of ai powered chatbot for public transport services within a smart city. International Journal on Emerging Technologies, 11(3), 948–958.

Lăzăroiu, G., Neguriţă, O., Grecu, I., et al. (2020). Consumers’ Decision-Making Process on Social Commerce Platforms: Online Trust, Perceived Risk, and Purchase Intentions. Frontiers in Psychology, 11, 1–7. https://doi.org/10.3389/fpsyg.2020.00890

Lee, J. E., & Watkins, B. (2016). YouTube vloggers’ influence on consumer luxury brand perceptions and intentions. Journal of Business Research, 69(12), 5753–5760. https://doi.org/10.1016/j.jbusres.2016.04.171

Lee, J. H., & Song, C. H. (2013). Effects of trust and perceived risk on user acceptance of a new technology service. Social Behavior and Personality, 41(4), 587–597. https://doi.org/10.2224/sbp.2013.41.4.587

Lee, Y. K., Kim, S., Lee, C. K., & Kim, S. H. (2014). The Impact of a Mega Event on Visitors’ Attitude Toward Hosting Destination: Using Trust Transfer Theory. Journal of Travel and Tourism Marketing, 31(4), 507–521. https://doi.org/10.1080/10548408.2014.883347

Li, M., & Chen, J. (2020). High-speed rail network in China: the contribution of fast trains to regional tourism and economic development. Tourism Review, 75(2), 414–432. https://doi.org/10.1108/TR-12-2018-0197

Liu, M. T., Brock, J. L., Cheng Shi, G., et al. (2013). Perceived benefits, perceived risk, and trust. Asia Pacific Journal of Marketing and Logistics, 25(2), 225–248. https://doi.org/10.1108/13555851311314031

Mainardes, E. W., & Cardoso, M. V. (2019). Effect of the use of social media in trust, loyalty and purchase intention in physical stores. The International Review of Retail, Distribution and Consumer Research, 29(4), 456–477. https://doi.org/10.1080/09593969.2019.1583593

McLeod, S. (1990). Attitude and Behavior are correlates. Journal of Research in Science Teaching, 27(2), 97–113. http://www.simplypsychology.org/attitudes.html

Min, H., Park, J., & Kim, H. J. (2016). Common method bias in hospitality research: A critical review of literature and an empirical study. International Journal of Hospitality Management, 56, 126–135. https://doi.org/https://doi.org/10.1016/j.ijhm.2016.04.010

Miranda, S., Cunha, P., & Duarte, M. (2021). An integrated model of factors affecting consumer attitudes and intentions towards youtuber-generated product content. Review of Managerial Science, 15(1), 55–73. https://doi.org/10.1007/s11846-019-00370-3

Nesheli, M. M., Li, L., Palm, M., & Shalaby, A. (2021). Driverless shuttle pilots: Lessons for automated transit technology deployment. Case Studies on Transport Policy, 9(2), 723–742. https://doi.org/https://doi.org/10.1016/j.cstp.2021.03.010

Ng, P. Y., & Phung, P. T. (2021). Public transportation in Hanoi: Applying an integrative model of behavioral intention. Case Studies on Transport Policy, 9(2), 395–404. https://doi.org/https://doi.org/10.1016/j.cstp.2020.10.012

Nienaber, A., & Schewe, G. (2014). Enhancing trust or reducing perceived risk, what matters more when launching a new product? International Journal of Innovation Management, 18(01), 1450005. https://doi.org/10.1142/s1363919614500054

Okocha, D. O., & Terhile, A. (2022). Online Social Networks Misuse , Cyber-Crimes and Counter-Mechanisms in Nigeria. University of Nigeria Journal of Interdisciplinary Communication Studies, 28, 61–74.

Ostrom, T. M. (1969). The relationship between the affective, behavioral, and cognitive components of attitude. Journal of Experimental Social Psychology, 5(1), 12–30. https://doi.org/10.1016/0022-1031(69)90003-1

Park, S., & Tussyadiah, I. P. (2020). How Guests Develop Trust in Hosts : An Investigation of Trust Formation in P2P Accommodation. Journal of Travel Research, 59(8), 1402–1412. https://doi.org/10.1177/0047287519884654

Raby, R., Caron, C., Théwissen-LeBlanc, S., et al. (2018). Vlogging on YouTube: the online, political engagement of young Canadians advocating for social change. Journal of Youth Studies, 21(4), 497–514. https://doi.org/10.1080/13676261.2017.1394995

Radomska, J., Wołczek, P., Sołoducho-Pelc, L., & Silva, S. (2019). The impact of trust on the approach to management-A case study of creative industries. Sustainability (Switzerland), 11(3), 1–16. https://doi.org/10.3390/su11030816

Rutsaert, P., Pieniak, Z., Regan, Á., et al. (2014). Social media as a useful tool in food risk and benefit communication? A strategic orientation approach. Food Policy, 46, 84–93. https://doi.org/10.1016/j.foodpol.2014.02.003

Rutsaert, P., Regan, Á., Pieniak, Z., et al. (2013). The use of social media in food risk and benefit communication. Trends in Food Science and Technology, 30(1), 84–91. https://doi.org/10.1016/j.tifs.2012.10.006

Sarker, R. I., Kaplan, S., Anderson, M. K., et al. (2019). Obtaining transit information from users of a collaborative transit app: Platform-based and individual-related motivators. Transportation Research Part C: Emerging Technologies, 102, 173–188. https://doi.org/https://doi.org/10.1016/j.trc.2019.03.011

Sherif, B. Y. M., & Cantril, H. (1945). The Psychology of “attitudes.” Psychological Review, 52(6), 295–319. https://doi.org/10.1126/science.3.71.712.b

Silaban, P. H., Chen, W. K., Nababan, T. S., et al. (2022). How travel vlogs on YouTube influence consumer behavior: A use and gratification perspective and customer engagement. Human Behavior and Emerging Technologies, 2022, 1–16. https://doi.org/10.1155/2022/4432977

Simcock, P., Sudbury, L., & Wright, G. (2006). Age, Perceived Risk and Satisfaction in Consumer Decision Making: A Review and Extension. Journal of Marketing Management, 22(3–4), 355–377. https://doi.org/10.1362/026725706776861163

Sohn, H. K., Lee, T. J., & Yoon, Y. S. (2016). Relationship between Perceived Risk, Evaluation, Satisfaction, and Behavioral Intention: A Case of Local-Festival Visitors. Journal of Travel and Tourism Marketing, 33(1), 28–45. https://doi.org/10.1080/10548408.2015.1024912

Stapel, J., Gentner, A., & Happee, R. (2022). On-road trust and perceived risk in Level 2 automation. Transportation Research Part F: Traffic Psychology and Behaviour, 89, 355–370. https://doi.org/https://doi.org/10.1016/j.trf.2022.07.008

Stefanidis, K. B., Davey, B., Truelove, V., Schiemer, C., & Freeman, J. (2022). Does exposure to social media content influence attitudes towards, and engagement in, road rule violations? A systematic review. PLoS ONE, 17(9), e0275335. https://doi.org/10.1371/journal.pone.0275335

Stewart, K. J. (2003). Trust transfer on the World Wide Web. Organization Science, 14(1), 5–17. https://doi.org/10.1287/orsc.14.1.5.12810

Thilina, D., & Gunawardane, N. (2019). The effect of perceived risk on the purchase intention of electric vehicles: An extension to the technology acceptance model. International Journal of Electric and Hybrid Vehicles, 11(1), 73–83. https://doi.org/10.1504/ijehv.2019.098717

Toanoglou, M., Chemli, S., & Valeri, M. (2022). The organizational impact of Covid-19 crisis on travel perceived risk across four continents. Journal of Organizational Change Management, 35(2), 293–307. https://doi.org/10.1108/JOCM-12-2020-0369

Turcotte, J., York, C., Irving, J., et al. (2015). News Recommendations from Social Media Opinion Leaders: Effects on Media Trust and Information Seeking. Journal of Computer-Mediated Communication, 20(5), 520–535. https://doi.org/10.1111/jcc4.12127

Urbach, N., & Frederik, A. (2010). Structural Equation Modeling in Information Systems Research Using Partial Least Squares. Journal of Information Technology Theory and Application (JITTA), 11(2), 5–40. http://aisel.aisnet.org/jitta/vol11/iss2/2

Wang, N., Shen, X. L., & Sun, Y. (2013). Transition of electronic word-of-mouth services from web to mobile context: A trust transfer perspective. Decision Support Systems, 54(3), 1394–1403. https://doi.org/10.1016/j.dss.2012.12.015

Wei, Y., Wang, Z., Wang, H., et al. (2019). Predicting population age structures of China, India, and Vietnam by 2030 based on compositional data. PLoS ONE, 14(4). https://doi.org/10.1371/journal.pone.0212772

Wintterlin, F., Engelke, K. M., & Hase, V. (2020). Can transparency preserve journalism’s trustworthiness? Recipients’ views on transparency about source origin and verification regarding user-generated content in the news. SCM Studies in Communication an

Wu, J., Chen, Y., Chien, S. H., & Wu, W. K. (2016). Attachment relationship study of trust and trust transfer. Journal of Service Theory and Practice, 26(5), 681–695. https://doi.org/10.1108/JSTP-04-2015-0095

Xu, D., Chen, T., Pearce, J., et al. (2021). Reaching audiences through travel vlogs: The perspective of involvement. Tourism Management, 86, 104326. https://doi.org/https://doi.org/10.1016/j.tourman.2021.104326

Yang, S., Chen, Y., & Wei, J. (2015). Understanding consumers’ web-mobile shopping extension behavior: A trust transfer perspective. Journal of Computer Information Systems, 55(2), 78–87. https://doi.org/10.1080/08874417.2015.11645759

Yu, L., Cao, X., Liu, Z., et al. (2016). Understanding mobile payment users’ continuance intention: A trust transfer perspective Article information. Internet Research, 3.

Zhang, T., Tao, D., Qu, X., et al. (2019). The roles of initial trust and perceived risk in public’s acceptance of automated vehicles. Transportation Research Part C: Emerging Technologies, 98, 207–220. https://doi.org/https://doi.org/10.1016/j.trc.2018.1

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