A Rung Towards the Digitalization of Tourism Services in India; Assessment of Individual Perceptions using Technology Acceptance Model

Authors

  • Johnpaul M Central University of Kerala
  • Jaya Prakashnarayana G Department of Tourism Management, Indira Gandhi National Tribal University

DOI:

https://doi.org/10.12727/ajts.31.6

Keywords:

Tourism Marketing, TAM, Behavioural Intention, Techonology Acceptance and Perceived Risk

Abstract

The world has seen a radical change through the digital revolution. These Technologies have facilitated the entire Economy to run on the device, making all regular day-to-day activities easy, convenient, and more efficient. The mass adoption of digital technologies by consumers, enterprises, and governments has accelerated the Economy's growth rate. It can play an essential role in spurring economic growth and employment. However, the research literature shows that the impact of digitalization by country and sectors is uneven (Sabbagh, K. et al. 2014). Digital initiatives not only has positive connotation but has created a digital divide among the demographics across the communities (Benda et al., 2011). The study employs the TAM (Davis, 1989) model to analyze the Behavioural Intentions and Attitudes of the customers towards Technology Acceptance in tourism in India. The data is collected through questionnaires from regular travelers visiting tourist destinations across India using Snowball sampling techniques, the main means is Google Forms. Data analysis is executed by using SPSS software to find the R Square coefficient to test the influence of independent variables on dependent variables using a multiple regression model to analyze the TAM constructs to examine individual perceptions towards digital technologies in the Tourism sector in India.

References

 Alam, I. (2006). Removing the Fuzziness from the Fuzzy-End of Ser-vice Innovations through Customer Interactions. Industrial Marketing Management35 (4): pp. 468–80.

 Aspasia, V. &Ourania, N., (2014). 'Social media adoption and managers' perceptions', International Journal on Strategic Innovative Marketing 1, 61–73. https://doi. org/10.15556/IJSIM.01.02.001.

 Bailey, A. A., Pentina, I., Mishra, A. S., & Ben Mimoun, M. S. (2020). Exploring factors influencing U.S. millennial consumers' use of tap-and-go payment technology. The International Review of Retail, Distribution and Consumer Research, 30(2), 143–163.

 Barkhordari, M., Nourollah, Z., Mashayekhi, H., Mashayekhi, Y., &Ahangar, M. S. (2017). Factors influencing adoption of e-payment systems: an empirical study on Iranian customers. Information systems and e-business management, 15(1), 89–116.

 Benda, P., Havlicek, Z., Lohr, V., &Havránek, M. (2011). ICT helps to overcome disabilities. AGRIS online Papers in Economics and Informatics, 3(665-2016-44817), 63-69.

 Carbonell, P., Rodríguez‐Escudero, A. I., & Pujari, D. (2009). Customer involvement in new service development: An examination of antecedents and outcomes. Journal of product innovation management, 26(5), 536-550.

 Chen, Sirong, Mu Zhang, and Jiayu Han have examined the VR and AR facilities at theme parks and visitors' experience by using TAM perspective, and the study revealed that PU and PEU of VR/Ar projects at theme parks had affected the Attitude of the visitors positively. However, Usefulness has an indirect effect, and PR has no significant influence on the visitor's Attitude.

 Cooper, R.G. (2001). Winning at New Products. Accelerating the Process from Idea to Launch. Cambridge, MA: Perseus.

 Davis, F.D., (1989). 'Perceived usefulness, perceived ease of use and user acceptance of information technology', MIS Quarterly 13(2), 319–340. https://doi.org/ 10.2307/249008.

 El-Gohary, H., (2012). 'Factors affecting e-marketing adoption and implementation in tourism firms: An empirical investigation of Egyptian small tourism organizations', Tourism Management 33(5), 1256–1269. https://doi.org/10.1016/j.tourman.2011. 10.013

 Fishbein, M. & Ajzen, I., 1975, Belief, Attitude, Intention and behaviour: An introduction to theory and research, Addison-Wesley, Reading, MA

 Hamid, Sheeba, and Mohd Azhar. "Influence of theory of planned behaviour and perceived risk on tourist behavioural intention post-COVID-19." J Tour 22.2 (2021): 15-25.

https://rajyasabha.nic.in/rsnew/Committee_site/Committee_File/ReportFile/20/166/320_2022_3_12.pdf

https://tourism.gov.in/sites/default/files/2022

https://wttc.org/research/economic-impact

 Johnpaul. M, Aluvala, Ravi. (2022). Effect of Endogenous and Exogenous variables on Customer behavioural intention in Adoption of Digital Banking Services-A Technology Acceptance Model Study in the State of Telangana. Journal of Management and Entrepreneurship (JME), Volu16 (2), 21–31.

 Kumar, B. S., & Kumara, S. S. (2018). The digital divide in India: Use and non-use of ICT by rural and urban students—World Journal of Science, Technology and Sustainable Development.

 Lamberton, C., & Stephen, A. T. (2016). A thematic exploration of digital, social media, and mobile marketing: Research evolution from 2000 to 2015 and an agenda for future inquiry. Journal of Marketing, 80(6), 146–172.

 Li, T., & Chen, Y. (2019). Will virtual reality be a double-edged sword? Exploring the moderation effects of the expected enjoyment of a destination on travel intention. Journal of Destination Marketing and Management, 12, 15–26. https://doi.org/10.1016/j.jdmm.2019.02.003

 Lomova, L. A., Shiryaev, D. V., Kobersy, I. S., Borisova, A. A., &Shkurkin, D. V. (2016). Marketing techniques in management of enterprises engaged in tourism. International Review of Management and Marketing, 6(6), 15-20.

 Malecki, E. J. (2003). Digital development in rural areas: potentials and pitfalls. Journal of rural studies, 19(2), 201-214.

 Middleton, V. T., & Clarke, J. R. (2012). Marketing in travel and tourism. Routledge.

 Moorhouse, N., Jung, T., & Tom Dieck, M. C. (2018, June). The Marketing of Urban Tourism Destinations through Virtual Reality: Tourism Marketers’ Perspectives. In 8th ADVANCES IN HOSPITALITY AND TOURISM MARKETING AND MANAGEMENT (AHTMM) CONFERENCE (p. 45).

 Ramayah, T., Jantan, M., Mohd Noor, M. N., Razak, R. C., &Koay, P. L. (2003). Receptiveness of internet banking by Malaysian consumers: The case of Penang. Asian Academy of Management Journal, 8(2), 1-29.

 Sabbagh, K., Friedrich, R. O. M. A. N., El-Darwiche, B. A. H. J. A. T., Singh, M. I. L. I. N. D., &Koster, A. L. E. X. (2013). Digitization for economic growth and job creation: Regional and industry perspectives. The global information technology report, 2013, pp. 35–42.

 Shenglin, B., Bosc, R., Jiao, J., Li, W., Simonelli, F., & Zhang, R. (2017). Digital Infrastructure: overcoming the Digital divide in China and the European Union.

 Sheokand, K., & Gupta, N. (2017). Digital India programme and impact of digitalization on Indian Economy. Indian Journal of Economics and Development, 5(5), 1-13

 Thompson, J.D., (1967). Organizations in action, McGraw-Hill, New York.

 Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204.

 Wamba, S.F. & Carter, L., (2014). 'Social media tools adoption and use by SMEs: An empirical study', Journal of End User and Organizational Computing 26(2), 1–17. https://doi.org/10.4018/joeuc.2014040101

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Published

2024-01-31

How to Cite

M, J., & Prakashnarayana G, J. . (2024). A Rung Towards the Digitalization of Tourism Services in India; Assessment of Individual Perceptions using Technology Acceptance Model. Atna Journal of Tourism Studies, 19(1), 133-150. https://doi.org/10.12727/ajts.31.6