Adoption of Mobile wallets by Tourists for Digital Payments in India: An Investigation of Behavioural Intention and the Moderating Impact of Digital Innovativeness
Keywords:
Tourists, digital payments, mobile wallets, Technology Acceptance Model (TAM), perceived value, satisfaction, Partial Least Squares (PLS)Abstract
Purpose
The main goal of this study is to investigate the impact of tourist's intention for enjoyment on their likelihood to use mobile wallets for electronic transactions. The research aims to investigate the behavioural intents of foreign tourists about digital payment options, particularly during their travels to the Delhi (NCR) area.
Methodology
This research adopts the Technology Acceptance Model (TAM) as its theoretical framework and conducts a quantitative survey targeting foreign tourists situated outside the Delhi (NCR) region. The process includes distributing 250 surveys to tourists, obtaining a response rate that leads to the return of 200 completed forms. These surveys are fundamental to the process of collecting data. The statistical approach used to analyse the data received from these surveys is Partial Least Squares (PLS). This methodology is used to examine the several variables that influence visitors' propensity to utilise mobile wallets and to understand the relationship between their behavioural goals and digital payment practices.
Findings
The study reveals a significant association between tourist's expectations and their practical use of mobile wallets for digital transactions. The statement highlights that the degree of contentment that tourists feel is crucial in influencing their probability of using digital payment options. The research demonstrates that the perceived value and simplicity of use of mobile wallet services are crucial determinants affecting their adoption among foreign travelers.
References
Abdul-Halim, N. A., Vafaei-Zadeh, A., Hanifah, H., Teoh, A. P., and Nawaser, K. (2022). Understanding the determinants of e-wallet continuance usage intention in Malaysia. Quality & quantity, Vol. 56 No. 5, pp.3413-3439.
Alsajjan, B., & Dennis, C. (2010). Internet banking acceptance model: Cross-market examination. Journal of Business Research, 63(9–10), 957–963.
Arora, N., & Dhiman, N. (2020). Influence of psychological capital on turnover intentions: Empirical evidence from Indian paramedics. International Journal of Work Innovation, 2(4), 247-256. doi:10. 1504/IJWI.2020.111745.
Balakrishnan V, Shuib NLM (2021) Drivers and inhibitors for digital payment adoption using the cashless society readiness-adoption model in Malaysia. Technol Soc 65:101554
Bashir, I., & Madhavaiah, C. (2015). Consumer attitude and behavioural intention towards Internet banking adoption in India. Journal of Indian Business Research, 7(1), 67-102.
Beck, J., Rainoldi, M. and Egger, R., 2019. Virtual reality in tourism: a state-of-the-art review. Tourism Review, 74(3), pp.586-612.
Chang, W.L., Chen, L.M. and Hashimoto, T., 2022. Cashless Japan: Unlocking influential risk on mobile payment service. Information Systems Frontiers, 24(5), pp.1515-1528.
Chin, W. W. (1998). The partial least squares approach for structural equation modeling. In G. A. Marcoulides (Ed.), Methodology for Business and Management. Modern Methods for Business Research (pp. 295-336). Mahwah, NJ: Lawrence Erlbaum Associates Publishers.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 319–340.
de Lurdes Calisto, M. and Sarkar, S., 2024. A systematic review of virtual reality in tourism and hospitality: The known and the paths to follow. International Journal of Hospitality Management, 116, p.103623.
Esawe, A. T. (2022). Understanding mobile e-wallet consumers’ intentions and user behavior. Spanish Journal of Marketing-ESIC, Vol. 26 No. 3, pp. 363-384. https://doi.org/10.1108/SJME-05-2022-0105.
Faqih, KMS and MRM Jaradat (2015). Assessing the moderating e®ect of gender di®erences and individualism-collectivism at individual-level on the adoption of mobile commerce technology: TAM3 perspective. Journal of Retailing and Consumer Services, 22, 37–52.
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Reading: Addison-Wesle.
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18(3), 382-387. doi:10.1177/ 002224378101800313.
Gefen, D. (2000). E-commerce: The role of familiarity and trust. Omega, 28(6), 725–737.
Gerbing, D. W., & Anderson, J. C. (1988). An updated paradigm for scale development incorporation unidimensionality and its assessment. Journal of Marketing Research, 25(2), 186-192. doi:10.1177/002224378802500207.
Gullen, K., & Zimmerman, H. (2013). Saving time with technology. Educational -Leadership, 70(6), 63-66.
Hair, J. F., Jr., Matthews, L. M., Matthews, R. L., & Sarstedt, M. (2017). PLS-SEM or CB-SEM: Updated guidelines on which method to use. International Journal of Multivariate Data Analysis, 1(2), 107-123.
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2013). Partial least squares structural equation modeling: Rigorous applications, better results and higher acceptance. Long Range Planning, 46(1/2), 1-12. Retrieved from https:// ssrn.com/abstract=2233795.
Huang, S. and Hsu, C.H., 2008. Recent tourism and hospitality research in China. International Journal of Hospitality & Tourism Administration, 9(3), pp.267-287.
Joreskog, K. G. (1993). Testing structural equation models. In K. A. Bollen & J. S. Long (Eds), Testing Structural Equation Models (pp. 294-316). Newbury Park: Sage.
Karjaluoto, H., Glavee-Geo, R., Ramdhony, D., Shaikh, A. A., & Hurpaul, A. (2021). Consumption values and mobile banking services: Understanding the urban–rural dichotomy in a developing economy. International Journal of Bank Marketing, 39(2), 272–293. https://doi.org/10.1108/IJBM-03-2020-0129.
Karnouskos, S. (2004). Mobile payment: A journey through existing procedures and standardization initiatives. In IEEE Communications Surveys & Tutorials, 6(4), 44-66, Fourth Quarter 2004. doi:10.1109/COMST.2004.5342298.
Latupeirissa, J. J. P., Gorda, A. A. N. O. S., and Subanda, I. N. (2020). Antecedents of intention to use e-wallet: The development of acceptance model with pls-sem approach. Journal of Advanced Research in Dynamical and Control Systems, pp.1416-1429.
Lim, J. and Shim, J. (2016). The development of mobile applications to attract customers in a continuous reward. Journal of Korea Multimedia Society, Vol. 19 No. 5, pp.948-956.
Lohmöller, J. B. (1989a). Predictive vs structural modeling: PlS vs MI, latent variable path modeling with partial least squares. Physica, Heidelberg, 199-226. doi:10.1007/978-3-642-52512-4_5.
Lowe B, Alpert F (2015) Forecasting consumer perception of innovativeness. Technovation 45:1–14
Mittal, S., and Kumar, V. (2018). Adoption of mobile wallets in India: An analysis. IUP Journal of Information Technology, Vol. 14 No. 1, pp.42-57.
Nunnally, J. C. (1978). An overview of psychological measurement. Clinical diagnosis of mental disorders: A handbook, pp.97-146.
Oliveira T, Thomas M, Baptista G, Campos F (2016) Mobile payment: understanding the determinants of customer adoption and intention to recommend the technology. Comput Hum Behav 61:404–414
Olivia, M., and Marchyta, N. K. (2022). The influence of perceived ease of use and perceived usefulness on E-wallet continuance intention: intervening role of customer satisfaction. Jurnal Teknik Industri, Vol. 24 No.1, DOI: https://doi.org/10.9744/jti.24.1.13-22
Pertiwi, D., Suprapto, W., & Pratama, E. (2020). Perceived usage of e-wallet among the Y generation in Surabaya based on technology acceptance model. Journal Teknik Industri, 22(1), 17-24. doi:10.9744/jti.22.1.17-24.
Prabhakaran, S., and Vasantha, S. (2020). Effect of social influence on intention to use mobile wallet with the mediating effect of promotional benefits. Journal of Xi'an University of Architecture & Technology, Vol. 12 No. 2, pp.3003-3019.
Ramos-de-Luna I, Montoro-Ríos F, Liébana-Cabanillas F (2016) Determinants of the intention to use NFC technology as a payment system: an acceptance model approach. Inf Syst e-Bus Manag 14(2):293–314
Rao, S., & Troshani, I. (2007). A conceptual framework and propositions for the acceptance of mobile services. Journal of Theoretical and Applied Electronic Commerce Research, 2(2), 61-73.
Ringle, C. M., Sarstedt, M., & Straub, D. W. (2012). A critical look at the use of PLS-SEM in MIS quarterly. MIS Quarterly, 36(1), 3-14. doi:10.2307/41410402.
Rogers, E. M. (2003). Diffusion of Innovations 5th ed. A Division of Macmillan Publishing Co Inc.
Rogers, E. M. (2010). Diffusion of innovations. Simon and Schuster.
Saadon, M. S. I. B., and Long, C. S. (2020). E-wallet acceptance among undergraduates in Malaysia. TEST Engineering & Management, Vol. 83, pp.12990-12998.
Salam, K. N., and Taufik, M. I. (2020). The Effect of perceived enjoyment on the decision of digital payment utilization in millennial generation. Hasanuddin economics and business review, Vol. 4 No. 2, pp.50-52.
Saparudin, M., Rahayu, A., Hurriyati, R., Sultan, M.A. and Ramdan, A.M., 2020, August. Consumers' continuance intention Use of mobile banking in Jakarta: extending UTAUT models with trust. In 2020 international conference on information management and technology (ICIMTech) (pp. 50-54). IEEE.
Saprikis, V. (2018). Examining behavioral intention towards social commerce: An empirical investigation in university students. In Proceedings of the 32 nd IBIMA Conference, pp.15-16.
Saura, J. R. (2020). Using data sciences in digital marketing: Framework, methods, and performance metrics. Journal of Innovation and Knowledge, 1. doi:10.1016/j. jik.2020.08.001.
Schmidthuber L, Maresch D, Ginner M (2020) Disruptive technologies and abundance in the service sector-toward a refined technology acceptance model. Technol Forecast Soc Change 155:119328
Sedarati, P., Santos, S. and Pintassilgo, P., 2019. System dynamics in tourism planning and development. Tourism Planning & Development, 16(3), pp.256-280.
Sekaran, U., and Bougie, R. (2016). Research methods for business: A skill building approach. John Wiley & Sons.
Setiawan B, Nugraha DP, Irawan A, Nathan RJ, Zoltan Z (2021) User innovativeness and fintech adoption in Indonesia. J Open Innovative Technology Mark Complex 7(3):188
Shaikh, A. A., & Karjaluoto, H. (2015). Mobile banking adoption: A literature review. Telematics and Informatics, 32(1), 129–142. https://doi.org/10.1016/j. tele.2014.05.003.
Shaikh, A.A. and Karjaluoto, H., 2015. Mobile banking adoption: A literature review. Telematics and informatics, 32(1), pp.129-142.
Sigala, M., Kumar, S., Donthu, N., Sureka, R. and Joshi, Y., 2021. A bibliometric overview of the Journal of Hospitality and Tourism Management: Research contributions and influence. Journal of Hospitality and Tourism Management, 47, pp.273-288.
Singh, N., Srivastava, S., & Sinha, N. (2017). Consumer preference and satisfaction of M-wallets: A study on North Indian consumers. International Journal of Bank Marketing, 35(6), 944-965. doi:10.1108/ IJBM-06-2016-0086.
Smith, J. (2023). Investigating Tourists' Behavioral Intentions in Using Mobile Payment Services through M-Wallets in Tourism Destinations. Journal of Digital Commerce, 10(2), 45-62
Suh, B., & Han, I. (2002). Effect of trust on customer acceptance of internet banking. Electronic Commerce Research and Applications, 1(3/4), 247–263.
Telecom Regulatory Authority of India. (2021). Retrieved from www.trai.gov.in.
Venkatesh, V. Emotion, intrinsic drive, and control as moderators of the technological acceptance model. Research in Information Systems, 11(4), 342-365.
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.
Zhang, L., Zhu, J., & Liu, Q. (2012). A meta-analysis of mobile commerce adoption and the moderating effect of culture. Computers in Human Behavior, 28(5), 1902-1911.
