A Study on Consumers’ Travel Purchase Intention Through Travel Apps

Authors

  •   Rajiv Mishra Dean & Professor, School of Hospitality & Tourism, Galgotias University, Greater Noida - 201 310, Uttar Pradesh
  •   M. P. Sharma Professor & Program Chair, School of Hospitality & Tourism, Galgotias University, Greater Noida - 201 310, Uttar Pradesh
  •   Kunal Seth Professor, Amity School of Hospitality, Amity University, Amity Education Valley, Panchgaon, Manesar - 122 412, Haryana
  •   Vikas Singh Professor & Program Chair (Corresponding Author), School of Hospitality & Tourism, Galgotias University, Greater Noida - 201 310, Uttar Pradesh

DOI:

https://doi.org/10.17010/pijom/2023/v16i7/172926

Keywords:

Travel App

, Purchase Intentions, Consumers, UTAUT2, India.

JEL Classification Codes

, D01, D12, D91, M29, Z32

Paper Submission Date

, January 30, 2023, Paper sent back for Revision, May 25, Paper Acceptance Date, June 10, Paper Published Online, July 15, 2023

Abstract

Purpose : The present study identified the factors influencing consumer travel purchase intention. The primary goal of this study was to ascertain if Indian users of travel applications can use the restrictions derived from the expanded unified theory of acceptance and usage of technology with perceived trust as a mediating variable. The article further addressed the empirical findings and implications of practical work to the conclusion of this study.

Methodology : Using UTAUT2 as a base model, this study investigated customers’ desire to purchase things using travel applications. A representative survey of 261 participants was obtained.

Findings : The results indicated that all five were supported among the four constructions. The results revealed that EE (effort expectancy) had the most significant impact on purchase intention, followed by FC, PE, and SI. Overall, this work will benefit travel application businesses in promoting their corporate and marketing objectives. The results showed that effort expectancy had a strong relationship with purchase intention.

Practical Implications : Using UTAUT2 as a base model, the study investigated customers’ desire to purchase things using travel applications. With this study, app development executives can foresee the continuing use of travel apps for good marketing, user engagement, and advertisement inside devices. Using UTAUT2 as a base model, this study investigated customers’ desire to purchase things using travel applications.

Originality : Limited empirical studies have explored travellers’ adoption of mapping apps. This study included the conceptual framework in the perceived trust variable to explain the effects of the UTAUT2 system’s fundamental ideas, such as performance expectancy, social influence, and enabling situations. In contrast, in other related studies, effort expectancy has been thought to explain the direct impact on the willingness of consumers to buy travel products through travel apps.

Downloads

Download data is not yet available.

Downloads

Published

2023-07-07

How to Cite

Mishra, R., Sharma, M. P., Seth, K., & Singh, V. (2023). A Study on Consumers’ Travel Purchase Intention Through Travel Apps. Prabandhan: Indian Journal of Management, 16(7), 25–42. https://doi.org/10.17010/pijom/2023/v16i7/172926

Issue

Section

Articles

References

Abdulla, A., & Suresh, K. (2017). Onward ho! Studying place emotions, language style, and social tendencies in travel blogs. Prabandhan: Indian Journal of Management, 10(6), 7–28. https://doi.org/10.17010/pijom/2017/v10i6/115370

Ally, M., & Gardiner, M. (2012). The moderating influence of device characteristics and usage on user acceptance of Smart Mobile Devices. ACIS 2012 Proceedings. 68. https://aisel.aisnet.org/acis2012/68

Chakraborty, D. (2021). Factors influencing passengers' purchase intention towards app-cab services in metro cities of India: A study on smartphone users. Indian Journal of Marketing, 51(1), 41–54. https://doi.org/10.17010/10.17010/ijom/2021/v51/i1/156933

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

Choi, Y. K., Demiris, G., Lin, S. Y., Iribarren, S. J., Landis, C. A., Thompson, H. J., McCurry, S. M., Heitkemper, M. M., & Ward, T. M. (2018). Smartphone applications to support sleep self-management: Review and evaluation. Journal of Clinical Sleep Medicine, 14(10), 1783–1790. https://doi.org/10.5664/jcsm.7396

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008

Eastlick, M. A., Lotz, S. L., & Warrington, P. (2006). Understanding online B-to-C relationships: An integrated model of privacy concerns, trust, and commitment. Journal of Business Research, 59(8), 877–886. https://doi.org/10.1016/j.jbusres.2006.02.006

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104

Gu, Z., Wei, J., & Xu, F. (2016). An empirical study on factors influencing consumers' initial trust in wearable commerce. Journal of Computer Information Systems, 56(1), 79–85. https://doi.org/10.1080/08874417.2015.11645804

Hsiao, K.-L., Chuan-Chuan Lin, J., Wang, X.-Y., Lu, H.-P., & Yu, H. (2010). Antecedents and consequences of trust in online product recommendations: An empirical study in social shopping. Online Information Review, 34(6), 935–953. https://doi.org/10.1108/14684521011099414

Kennedy-Eden, H., & Gretzel, U. (2021). My heritage in my pocket: Mobile device and app used by genealogy tourists. Information Technology & Tourism, 23(3), 327–350. https://doi.org/10.1007/s40558-021-00206-5

Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems, 44(2), 544–564. https://doi.org/10.1016/j.dss.2007.07.001

Kim, H.-W., Chan, H. C., & Gupta, S. (2007). Value-based adoption of mobile Internet: An empirical investigation. Decision Support Systems, 43(1), 111–126. https://doi.org/10.1016/j.dss.2005.05.009

Kline, R. B., & Santor, D. A. (1999). Principles & practice of structural equation modelling. Canadian Psychology, 40(4), 381–383. https://www.proquest.com/scholarly-journals/principles-practice-structural-equation-modelling/docview/220803713/se-2

Law, R., Qi, S., & Buhalis, D. (2010). Progress in tourism management: A review of website evaluation in tourism research. Tourism Management, 31(3), 297–313. https://doi.org/10.1016/j.tourman.2009.11.007

Lee, M. K., & Turban, E. (2001). A trust model for consumer Internet shopping. International Journal of Electronic Commerce, 6(1), 75–91. https://doi.org/10.1080/10864415.2001.11044227

Li, C.-H., Hsu, P.-H., & Hsu, S.-Y. (2011). Assessing the application of the neighbourhood cohesion instrument to community research in East Asia. Journal of Community Psychology, 39(8), 1031–1039. https://doi.org/10.1002/jcop.20448

Lim, K. H., Sia, C. L., Lee, M. K., & Benbasat, I. (2006). Do I trust you online, and if so, will I buy? An empirical study of two trust-building strategies. Journal of Management Information Systems, 23(2), 233–266. https://doi.org/10.2753/MIS0742-1222230210

Lu, J., Mao, Z., Wang, M., & Hu, L. (2015). Goodbye maps, hello apps? Exploring the influential determinants of travel app adoption. Current Issues in Tourism, 18(11), 1059–1079. https://doi.org/10.1080/13683500.2015.1043248

Medeiros, M., Ozturk, A., Hancer, M., Weinland, J., & Okumus, B. (2022). Understanding travel tracking mobile application usage: An integration of self determination theory and UTAUT2. Tourism Management Perspectives, 42, 100949. https://doi.org/10.1016/j.tmp.2022.100949

Mishra, A., & Ojha, N. K. (2014). Need of marketing of India as a tourist destination: Evaluation of India's performance in tourism. Prabandhan: Indian Journal of Management, 7(8), 45–54. http://doi.org/10.17010/pijom/2014/v7i8/59360

Mishra, N., Rajkumar, M., & Mishra, R. (2022). Emotional intelligence as a moderator between micromanagement leadership and employee performance. Prabandhan: Indian Journal of Management, 15(10), 63–70. https://doi.org/10.17010/pijom/2022/v15i10/172409

Mishra, R., Singh, V., & Mishra, N. (2022). A study on destination loyalty of tourists at the UNESCO world heritage site: A case study of old Goa in India. Prabandhan: Indian Journal of Management, 15(4), 28–45. https://doi.org/10.17010/pijom/2022/v15i4/169248

No, J. H., Kim, Y.-B., & Song, Y. S. (2014). Targeting Nrf2 signalling to combat chemoresistance. Journal of Cancer Prevention, 19(2), 111–117. https://doi.org/10.15430/JCP.2014.19.2.111

Olsen, C., & St. George, D. M. (2004). Cross-sectional study design and data analysis. College Entrance Examination Board. http://www.yes-competition.org/media.collegeboard.com/digitalServices/pdf/yes/4297_MODULE_05.pdf

Pascual-Miguel, F. J., Agudo-Peregrina, Ã. F., & Chaparro-Peláez, J. (2015). Influences of gender and product type on online purchasing. Journal of Business Research, 68(7), 1550–1556. https://doi.org/10.1016/j.jbusres.2015.01.050

Qureshi, I., Fang, Y., Ramsey, E., McCole, P., Ibbotson, P., & Compeau, D. (2009). Understanding online customer repurchasing intention and the mediating role of trust – An empirical investigation in two developed countries. European Journal of Information Systems, 18(3), 205–222. https://doi.org/10.1057/ejis.2009.15

Reddy, T. T., & Rao, B. M. (2019). The moderating effect of gender on continuance intention toward mobile wallet services in India. Indian Journal of Marketing, 49(4), 48–62. https://doi.org/10.17010/ijom/2019/v49/i4/142976

Rodríguez-Torrico, P., Prodanova, J., San-Martín, S., & Jimenez, N. (2020). The ideal companion: The role of mobile phone attachment in travel purchase intention. Current Issues in Tourism, 23(13), 1659–1672. https://doi.org/10.1080/13683500.2019.1637828

San Martín, H., & Herrero, Ã. (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

Shankar, R. S. (2020). Impact of perceived destination personality on tourists' behaviour. Prabandhan: Indian Journal of Management, 13(12), 36–46. http://doi.org/10.17010/pijom/2020/v13i12/156588

Shankar, R. S., Koshy, E. R., & Chandan. (2021). Do frequency of visit and length of stay alter perceived cognitive destination image? A multivariate approach. Prabandhan: Indian Journal of Management, 14(12), 19–34. http://doi.org/10.17010/pijom/2021/v14i12/167458

Sharma, A. K., & Sharma, R. (2022). Identification of the customers' preferred attributes while selecting an OTA (online travel agency) platform. Indian Journal of Marketing, 52(7), 43–55. https://doi.org/10.17010/ijom/2022/v52/i7/170538

Singh, H., Singh, V., Singh, T., & Higueras-Castillo, E. (2023). Electric vehicle adoption intention in the Himalayan region using UTAUT2–NAM model. Case Studies on Transport Policy, 11, 100946. https://doi.org/10.1016/j.cstp.2022.100946

Singh, M., & Matsui, Y. (2017). How long tail and trust affect online shopping behavior: An extension to UTAUT2 framework. Pacific Asia Journal of the Association for Information Systems, 9(4), Article 2. https://aisel.aisnet.org/pajais/vol9/iss4/2

Singh, N., & Yadav, P. (2018). Social media influences holiday travel decisions: A rationale for profound analysis. Prabandhan: Indian Journal of Management, 11(2), 40–56. http://doi.org/10.17010/pijom/2018/v11i2/121395

Suh, B., & Han, I. (2002). Effect of trust on customer acceptance of Internet banking. Electronic Commerce Research and Applications, 1(3–4), 247–263. https://doi.org/10.1016/S1567-4223(02)00017-0

Turban, E., King, D., Lee, J. K., Liang, T. P., & Turban, D. C. (2015). Business-to-business e-commerce. In, Electronic commerce. Springer texts in business and economics. Springer. https://doi.org/10.1007/978-3-319-10091-3_4

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

Verma, M., Verma, A., & Khurana, S. (2018). Influence of travel motivation and demographic factors on tourist participation in world's largest mass religious gathering - The Kumbh Mela. Prabandhan: Indian Journal of Management, 11(8), 7–19. http://doi.org/10.17010/pijom/2018/v11i8/130641

Wen, I. (2009). Factors affecting the online travel buying decision: A review. International Journal of Contemporary Hospitality Management, 21(6), 752–765. https://doi.org/10.1108/09596110910975990