Intentions to Adopt Contactless Travel in the Post-Pandemic Era: Adapting to a New Normal

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DOI: https://doi.org/10.28924/2291-8639-22-2024-101
Published: Jun 18, 2024
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Ninh Van Nguyen, Thu Anh Nguyen, Intentions to Adopt Contactless Travel in the Post-Pandemic Era: Adapting to a New Normal, Int. J. Anal. Appl., 22 (2024), 101.

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Ninh Van Nguyen, Thu Anh Nguyen

Abstract

Purpose – This research explores the relationship between individual perceptions and attitudes towards contactless travel adoption, considering moderating variables such as trust in technology.
Methodology– Adopting an extended theory of planned behaviour lens, the study investigates how trust in technology moderates the relationship between various factors and traveller attitudes and adoption.
Findings – Findings highlight the impact of individual perception factors, especially within the highest tourist interest. The study identifies a moderated direct relationship between attitudes and intentions to adopt, influenced by trust in technology, and emphasizes the mediating role of attitudes in shaping adoption intentions.
Originality of the research – Successful implementation of the findings could catalyze positive innovations in the adoption of contactless travel. The study makes a distinct contribution by shedding light on crucial factors influencing contactless travel adoption, emphasizing the importance of a nuanced understanding of demographics, individual perceptions, and the role of trust in technology.

Article Details

References

  1. Á. Sousa, R.A. Castanho, G. Couto, P. Pimentel, Post-Covid Tourism Planning: Based On the Azores Residents’ Perceptions About the Development of Regional Tourism, Eur. Plan. Stud. 31 (2022), 2087–2109. https://doi.org/10.1080/09654313.2022.2079375.
  2. P. Chand, P.K. Tarei, R.K. Gangadhari, P. Mikalef, IoT Capabilities in Regaining Travelers’ Confidence Through Touchless Travel: An Empirical Study for the Revival of the Airline Sector, IEEE Trans. Eng. Manage. 71 (2024), 7526–7540. https://doi.org/10.1109/tem.2023.3276779.
  3. F. Hao, R.T.R. Qiu, J. Park, K. Chon, The Myth of Contactless Hospitality Service: Customers’ Willingness to Pay, J. Hosp. Tour. Res. 47 (2022), 1478–1502. https://doi.org/10.1177/10963480221081781.
  4. S.I. Lei, L.H.N. Fong, S. Ye, “Touch Over Tech”: A Longitudinal Examination of Human Touch Along a Travel Journey, Int. J. Contemp. Hosp. Manage. 36 (2023), 927–945. https://doi.org/10.1108/ijchm-11-2022-1372.
  5. D. Trip, D. Badulescu, Touchless Tourism: How New Tourism Will Look like, in: S.L. Fotea, I.Ş. Fotea, S. Văduva (Eds.), Navigating Through the Crisis – A Special Issue on the Covid 19 Crises, Springer International Publishing, Cham, 2022: pp. 85–100. https://doi.org/10.1007/978-3-030-82755-7_6.
  6. D. Cumming, S. Johan, R. Reardon, Global Fintech Trends and Their Impact on International Business: A Review, Multinat. Bus. Rev. 31 (2023), 413–436. https://doi.org/10.1108/MBR-05-2023-0077.
  7. M.I. Hamzah, Fear of COVID-19 Disease and QR-Based Mobile Payment Adoption: A Protection Motivation Perspective, J. Financ. Serv. Mark. (2023). https://doi.org/10.1057/s41264-023-00246-4.
  8. M. Nogueira, F. Dias, V. Santos, Sustainable Mobility Choices: Exploring The Impact of Consumers’ Values, Attitudes, Perceived Behavioural Control and Subjective Norms on the Likelihood to Choose Sustainable Mobility Options, J. Consumer Behav. 22 (2023), 511–528. https://doi.org/10.1002/cb.2144.
  9. C. Busch, F. Deravi, D. Frings, E. Kindt, R. Lessmann, et al. Facilitating Free Travel in the Schengen Area—A Position Paper by the European Association for Biometrics, IET Biometrics 12 (2023), 112–128. https://doi.org/10.1049/bme2.12107.
  10. O.A.M. Emara, H.T. Halim, M.S. El-Deeb, Y.T. Halim, Toward a Sustained Recovery of the Lodging Sector: A Management Path to Lessen the Corona Variants Upshots, Futur. Bus. J. 9 (2023), 1. https://doi.org/10.1186/s43093-022-00171-3.
  11. I. Ajzen, From Intentions to Actions: A Theory of Planned Behavior, in: J. Kuhl, J. Beckmann (Eds.), Action Control, Springer Berlin Heidelberg, Berlin, Heidelberg, 1985: pp. 11–39. https://doi.org/10.1007/978-3-642-69746-3_2.
  12. B. Rathjens, N. Gunden, L. Zhang, G. Jain, R. Law, A Systematic Review of Contactless Technologies Research in Hospitality and Tourism During the COVID-Pandemic, J. Hosp. Tour. Res. (2023). https://doi.org/10.1177/10963480231191192.
  13. L.H. Wang, S.S. Yeh, K.Y. Chen, T.C. Huan, Tourists’ Travel Intention: Revisiting the TPB Model With Age and Perceived Risk as Moderator and Attitude as Mediator, Tour. Rev. 77 (2022), 877–896. https://doi.org/10.1108/TR-07-2021-0334.
  14. L. Zhong, J.A. Coca-Stefaniak, A.M. Morrison, L. Yang, B. Deng, Technology Acceptance Before and After COVID-19: No-Touch Service From Hotel Robots, Tour. Rev. 77 (2022), 1062–1080. https://doi.org/10.1108/TR-06-2021-0276.
  15. X. Li, K.F. Yuen, X. Wang, Y.D. Wong, Contactless Technologies Adoption During the Coronavirus Pandemic: A Combined Technology Acceptance and Health Belief Perspective, Technol. Anal. Strat. Manage. 35 (2023), 905–918. https://doi.org/10.1080/09537325.2021.1988919.
  16. W. Shishah, S. Alhelaly, User Experience of Utilising Contactless Payment Technology in Saudi Arabia During the COVID-19 Pandemic, J. Decis. Syst. 30 (2021), 282–299. https://doi.org/10.1080/12460125.2021.1890315.
  17. R.T.R. Qiu, J. Park, F. Hao, K. Chon, Hotel Services in the Digital Age: Heterogeneity in Guests’ Contactless Technology Acceptance, J. Hosp. Market. Manage. 33 (2023), 33–56. https://doi.org/10.1080/19368623.2023.2239219.
  18. F. González-Reverté, J.M. Gomis-López, P. Díaz-Luque, Reset or Temporary Break? Attitudinal Change, Risk Perception and Future Travel Intention in Tourists Experiencing the COVID-19 Pandemic, J. Tour. Futures. (2022). https://doi.org/10.1108/JTF-03-2021-0079.
  19. G. Del Chiappa, I. Bregoli, M. Atzeni, Uncovering Knowledge on Travel Behaviour During COVID-19: A Convergent Parallel Mixed-Methods Study in the Context Of Italy, Ital. J. Mark. 2021 (2021), 393–419. https://doi.org/10.1007/s43039-021-00036-7.
  20. P.K. Kannan, G. Kulkarni, The Impact of Covid-19 on Customer Journeys: Implications for Interactive Marketing, J. Res. Interact. Market. 16 (2022), 22–36. https://doi.org/10.1108/JRIM-03-2021-0078.
  21. N.M. Zafri, A. Khan, S. Jamal, B.M. Alam, Risk Perceptions of COVID-19 Transmission in Different Travel Modes, Transport. Res. Interdiscip. Perspect. 13 (2022), 100548. https://doi.org/10.1016/j.trip.2022.100548.
  22. M. Li, D. Yin, H. Qiu, B. Bai, Examining the Effects of AI Contactless Services on Customer Psychological Safety, Perceived Value, and Hospitality Service Quality During the COVID‐19 Pandemic, J. Hosp. Market. Manage. 31 (2021), 24–48. https://doi.org/10.1080/19368623.2021.1934932.
  23. M. Li, S. Huang, Contactless But Loyal Customers: The Roles of Anxiety and Sociability in the Hotel Service Context, J. Retail. Consumer Serv. 66 (2022), 102910. https://doi.org/10.1016/j.jretconser.2022.102910.
  24. H. Qiu, X. Wang, A.M. Morrison, C. Kelly, W. Wei, From Ownership to Responsibility: Extending the Theory of Planned Behavior to Predict Tourist Environmentally Responsible Behavioral Intentions, J. Sustain. Tour. (2022). https://doi.org/10.1080/09669582.2022.2116643.
  25. C.T. Lee, L.Y. Pan, Smile to Pay: Predicting Continuous Usage Intention Toward Contactless Payment Services in the Post-COVID-19 Era, Int. J. Bank Market. 41 (2022), 312–332. https://doi.org/10.1108/ijbm-03-2022-0130.
  26. C. Liao, X. Zhan, Y. Huang, Understanding the Effect of Proactive Personality and Perceived Consumer Effectiveness on Low-Carbon Travel Intention, Heliyon. 9 (2023), e19321. https://doi.org/10.1016/j.heliyon.2023.e19321.
  27. W.M. Lim, M.A. Weissmann, Toward a Theory of Behavioral Control, J. Strat. Market. 31 (2023), 185–211. https://doi.org/10.1080/0965254X.2021.1890190.
  28. M. Kashif, A. Zarkada, T. Ramayah, The Impact of Attitude, Subjective Norms, and Perceived Behavioural Control on Managers’ Intentions to Behave Ethically, Total Qual. Manage. Bus. Excell. 29 (2018), 481–501. https://doi.org/10.1080/14783363.2016.1209970.
  29. S. Sun, R. Law, M. Schuckert, Mediating Effects of Attitude, Subjective Norms and Perceived Behavioural Control for Mobile Payment-Based Hotel Reservations, Int. J. Hosp. Manage. 84 (2020), 102331. https://doi.org/10.1016/j.ijhm.2019.102331.
  30. A. Manimuthu, V. Dharshini, I. Zografopoulos, M.K. Priyan, C. Konstantinou, Contactless Technologies for Smart Cities: Big Data, IoT, and Cloud Infrastructures, SN Comput. Sci. 2 (2021) 334. https://doi.org/10.1007/s42979-021-00719-0.
  31. N.A. Rosli, Z. Zainuddin, M.Y. Yusliza, Z. Muhammad, J. Saputra, Moderating Effect of Perceived Behavioural Control on Tourists’ Revisit Intention in Island Tourism Industry: A Conceptual Model, J. Environ. Manage. Tour. 13 (2022), 2230–2239.
  32. I.A. Marques, I. Borges, A.M. Pereira, J. Magalhães, Hotel Technology Innovations as Drivers of Safety and Hygiene in Hotel Customers, in: J.V.D. Carvalho, P. Liberato, A. Peña (Eds.), Advances in Tourism, Technology and Systems, Springer Nature Singapore, Singapore, 2022: pp. 571–583. https://doi.org/10.1007/978-981-16-9701-2_47.
  33. E. Hadjielias, M. Christofi, P. Christou, M.H. Drotarova, Digitalization, Agility, and Customer Value in Tourism, Technol. Forecast. Soc. Change. 175 (2022), 121334. https://doi.org/10.1016/j.techfore.2021.121334.
  34. J. Hwang, J.Y. Choe, Y.G. Choi, J.J. Kim, A Comparative Study on the Motivated Consumer Innovativeness of Drone Food Delivery Services Before and after the Outbreak of COVID-19, J. Travel Tour. Market. 38 (2021), 368–382. https://doi.org/10.1080/10548408.2021.1921671.
  35. F. Hao, K. Chon, Are You Ready for a Contactless Future? A Multi-Group Analysis of Experience, Delight, Customer Equity, and Trust Based on the Technology Readiness Index 2.0, J. Travel Tour. Market. 38 (2021), 900–916. https://doi.org/10.1080/10548408.2021.1997878.
  36. F. Hao, Acceptance of Contactless Technology in the Hospitality Industry: Extending the Unified Theory of Acceptance and Use of Technology 2, Asia Pac. J. Tour. Res. 26 (2021), 1386–1401. https://doi.org/10.1080/10941665.2021.1984264.
  37. Sujood, N. Bano, S. Siddiqui, Consumers’ Intention Towards the Use of Smart Technologies in Tourism and Hospitality (T&H) Industry: A Deeper Insight into the Integration of TAM, TPB and Trust, J. Hosp. Tour. Insights, (2022). https://doi.org/10.1108/JHTI-06-2022-0267.
  38. L. Nasrolahi Vosta, M.R. Jalilvand, Electronic Trust-Building for Hotel Websites: A Social Exchange Theory Perspective, J. Islamic Market. 14 (2023), 2689–2714. https://doi.org/10.1108/JIMA-05-2022-0119.
  39. S.Y. Bae, P.J. Chang, The Effect of Coronavirus Disease-19 (COVID-19) Risk Perception on Behavioural Intention Towards ‘Untact’ Tourism in South Korea during the First Wave of the Pandemic (March 2020), Curr. Iss. Tour. 24 (2021), 1017–1035. https://doi.org/10.1080/13683500.2020.1798895.
  40. J.J. Kim, I. Kim, J. Hwang, A Change of Perceived Innovativeness for Contactless Food Delivery Services Using Drones after the Outbreak of COVID-19, Int. J. Hosp. Manage. 93 (2021), 102758. https://doi.org/10.1016/j.ijhm.2020.102758.
  41. M.T. Kiviniemi, E.M. Ellis, M.G. Hall, J.L. Moss, S.E. Lillie, N.T. Brewer, W.M.P. Klein, Mediation, Moderation, and Context: Understanding Complex Relations among Cognition, Affect, and Health Behaviour, Psychol. Health. 33 (2018), 98–116. https://doi.org/10.1080/08870446.2017.1324973.
  42. Y. Jiang, P.L. Lai, C.C. Yang, X. Wang, Exploring the Factors that Drive Consumers to Use Contactless Delivery Services in the Context of the Continued COVID-19 Pandemic, J. Retail. Consumer Serv. 72 (2023), 103276. https://doi.org/10.1016/j.jretconser.2023.103276.
  43. L.S. Strickland, L.E. Hunt, Technology, Security, and Individual Privacy: New Tools, New Threats, and New Public Perceptions, J. Amer. Soc. Inf. Sci. 56 (2005), 221–234. https://doi.org/10.1002/asi.20122.
  44. B.S. Schaffer, C.M. Riordan, A Review of Cross-Cultural Methodologies for Organizational Research: A Best- Practices Approach, Organ. Res. Meth. 6 (2003), 169–215. https://doi.org/10.1177/1094428103251542.
  45. J.F. Hair Jr., M.C. Howard, C. Nitzl, Assessing Measurement Model Quality in PLS-SEM Using Confirmatory Composite Analysis, J. Bus. Res. 109 (2020), 101–110. https://doi.org/10.1016/j.jbusres.2019.11.069.
  46. T. Clauss, Measuring Business Model Innovation: Conceptualization, Scale Development, and Proof of Performance, R D Manage. 47 (2017), 385–403. https://doi.org/10.1111/radm.12186.
  47. K.L. Manfreda, V. Vehovar, Internet Surveys, in: International Handbook of Survey Methodology, Routledge, 2011. https://doi.org/10.4324/9780203843123.ch14.
  48. S. Bauman, J. Airey, H. Atak, Effective Use of Web-Based Technology: Using the Internet for Data Collection and Communication Applications, Presented at the 53rd Conference of the American Association for Public Opinion Research, St. Louis, MO, May 14–17, 1998.
  49. M.A. Bujang, N. Sa’at, T.M.I. Tg Abu Bakar Sidik, L. Chien Joo, Sample Size Guidelines for Logistic Regression from Observational Studies with Large Population: Emphasis on the Accuracy Between Statistics and Parameters Based on Real Life Clinical Data, Malays. J. Med. Sci. 25 (2018), 122–130. https://doi.org/10.21315/mjms2018.25.4.12.
  50. E.J. Wolf, K.M. Harrington, S.L. Clark, M.W. Miller, Sample Size Requirements for Structural Equation Models: An Evaluation of Power, Bias, and Solution Propriety, Educ. Psychol. Measure. 73 (2013), 913–934. https://doi.org/10.1177/0013164413495237.
  51. G. Dash, J. Paul, CB-SEM vs PLS-SEM Methods for Research in Social Sciences and Technology Forecasting, Technol. Forecast. Soc. Change 173 (2021), 121092. https://doi.org/10.1016/j.techfore.2021.121092.
  52. S. Streukens, S. Leroi-Werelds, Bootstrapping and PLS-SEM: A Step-by-Step Guide to Get More Out of Your Bootstrap Results, Eur. Manage. J. 34 (2016), 618–632. https://doi.org/10.1016/j.emj.2016.06.003.
  53. C. Fornell, D.F. Larcker, Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics, J. Market. Res. 18 (1981), 382–388. https://doi.org/10.1177/002224378101800313.
  54. J. Hair, C.L. Hollingsworth, A.B. Randolph, A.Y.L. Chong, An Updated and Expanded Assessment of PLS-SEM in Information Systems Research, Ind. Manage. Data Syst. 117 (2017), 442–458. https://doi.org/10.1108/IMDS-04-2016-0130.
  55. J. Henseler, C.M. Ringle, M. Sarstedt, A New Criterion for Assessing Discriminant Validity in Variance-Based Structural Equation Modeling, J. Acad. Mark. Sci. 43 (2014), 115–135. https://doi.org/10.1007/s11747-014-0403-8.
  56. N. Chen, C.H.C. Hsu, X. (Robert) Li, Feeling Superior or Deprived? Attitudes and Underlying Mentalities of Residents towards Mainland Chinese Tourists, Tour. Manage. 66 (2018), 94–107. https://doi.org/10.1016/j.tourman.2017.11.007.
  57. S. Zhao, Y. Liu, Revenge Tourism after the Lockdown: Based on the SOR Framework and Extended TPB Model, J. Travel Tour. Market. 40 (2023), 416–433. https://doi.org/10.1080/10548408.2023.2256777.
  58. K. Park, H.N. Esfahani, V.L. Novack, J. Sheen, H. Hadayeghi, Z. Song, K. Christensen, Impacts of Disability on Daily Travel Behaviour: A Systematic Review, Transp. Rev. 43 (2023), 178–203. https://doi.org/10.1080/01441647.2022.2060371.
  59. M. Dekkal, M. Arcand, S. Prom Tep, L. Rajaobelina, L. Ricard, Factors Affecting User Trust and Intention in Adopting Chatbots: The Moderating Role of Technology Anxiety in Insurtech, J. Financ. Serv. Mark. (2023). https://doi.org/10.1057/s41264-023-00230-y.
  60. Y. Chen, S. Khalid Khan, N. Shiwakoti, P. Stasinopoulos, K. Aghabayk, Analysis of Australian Public Acceptance of Fully Automated Vehicles by Extending Technology Acceptance Model, Case Stud. Transp. Policy. 14 (2023), 101072. https://doi.org/10.1016/j.cstp.2023.101072.
  61. K.H. Huarng, C.F. Lee, T.H.K. Yu, Case Study of a Healthcare Virtual Community Model, Technol. Forecast. Soc. Change. 188 (2023), 122281. https://doi.org/10.1016/j.techfore.2022.122281.
  62. B. Armutcu, A. Tan, M. Amponsah, S. Parida, H. Ramkissoon, Tourist Behaviour: The Role of Digital Marketing and Social Media, Acta Psychol. 240 (2023), 104025. https://doi.org/10.1016/j.actpsy.2023.104025.
  63. P. Patil, K. Kazemzadeh, P. Bansal, Integration Of Charging Behavior into Infrastructure Planning and Management of Electric Vehicles: A Systematic Review and Framework, Sustain. Cities Soc. 88 (2023), 104265. https://doi.org/10.1016/j.scs.2022.104265.
  64. X. Song, H. Gu, Y. Li, W. Ye, A Systematic Review of Trust in Sharing Accommodation: Progress and Prospects from the Multistakeholder Perspective, Int. J. Contemp. Hosp. Manage. 35 (2023), 1156–1190. https://doi.org/10.1108/IJCHM-12-2021-1555.