The Relationship between Technology Acceptance and Decision-Making Expectations in the Application Selection and Airbnb Website of Millennium Thai Tourists

Main Article Content

Mariya Thraenhart
Prasobchai Pasunon

Abstract

     The objective of this research was to study the canonical correlation of technology acceptance and expectations in decision-making to choose Airbnb through the application and website of Thai millennial travelers. The population sample used in the study was 400 Thai Millennials tourists with Internet access. The questionnaire tool collected information.
     The results showed that the majority of the sample groups were male, aged 20-24 years old, single, with a bachelor's degree, working as a private firm employee with a salary level of 15,001- 25,000 baht, living in their own residences and consisting of 3- 4 family members. Opinions about technology adoption across all issues were at the higher level. AirBnB's decision-making expectations were found among the samples' opinions about safety expectations were at the highest level, and opinions about popularity expectations were at the highest level. According to the hypothesis test results, Thai Millennials' technology acceptance and their expectations of decision-making on the Airbnb application and website were highly associated. Suggestions for those who are interested in the accommodation business to implement the study results found the AirBNB application and website. Entrepreneurs should build credibility in terms of user popularity and security in their applications because it is what customers consider from such applications.

Article Details

Section
บทความวิจัย

References

Arreepermporn, P. (2020). Airbnb reveals that the year '19 generates money for the Thai GDP of 43.7 billion baht, indicating that Thailand travels Thailand promotes safety to help turn the sluggish tourism game. Retrieved 2020, August 20, from https://thestandard.co/airbnb-gdp-62/. (in Thai)

Jonathan, R. (2018). Generation next, Millennials will outnumber baby-boomers in 2019. Retrieved 2020, August 20, from https://web.archive.org/web/20190315052954/https://worldin2019.economist.com/millennialsvboomers.

National Statistical Office. (2019). Demographic statistics Population and housing. Retrieved 2020, Jauary 2, from http://statbbi.nso.go.th/staticreport/page/sector/th/01.aspx. (in Thai)

Neil, C., & Walter, R. B. (2016). Technology, Gaming, and Social Networking. in Handbook of the Psychology of Aging (Eighth Edition). (pp. 389-407). Florida: Academic Press.

OECD. (2016). Policies for the Tourism Sharing Economy OECD Tourism Trends and Policies 2016. Paris: OECD Publishing.

Office of Small and Medium Enterprise Promotion. (2018). Airbnb case study from the booking business to the tourism lifestyle business (Knowledge report). Bangkok: SME Knoeledge Center. (in Thai)

Piyapun, T. (2017). Sharing Economy Make money from interdependence. Retrieved 2019, December 7, from https://www.krungsri.com/bank/th/plearn-plearn/sharing-economy-provide-income.html. (in Thai)

Sakveeradachkul, I. (2016). Social Media, Location of Accommodation, E-service Quality and E-satisfaction Affecting Intention to Book Hotels through Airbnb Application of Customers in Bangkok and Its Vicinity (Master of Business Administration Thesis). Bangkok University, Graduate school, Program in Business Administration. (in Thai)

Samar, Z., Hongbo, L., Aka, L.K., & Bilal, M. (2020). Technology Acceptance Model' Concepts, Contribution, Limitation, and Adoption in Education. Universal Journal of Educational Research, 8(11), 5061-5071.

Schiebler, T. (2018). Advancing Theory of Consumer Satisfaction and Word-of-Mouth Product and Service Performance Counts-But so do Performance Expectations (Doctoral Dissertation). Ludwig-Maximilians-Universität München.

Sittirasd, C., Chumket, J., & Jindasantikul, W. (2017). Experience in Choosing Hotel Reservations Service via Application. In National Academic Conference 13th Academic Social Science Project on "Security of Thai Society in the 21st Century", (pp. 353-360). (in Thai)

Veerapeindee, S. (2017). Factors Influencing Intention to Book an Airbnb (Master of Science Program Thesis). Thammasat University Faculty of, Commerce and Accountancy, Program in Management Information Systems. (in Thai)

Yamane, T. (1973) Statistics: An Introductory Analysis. New York: Harper and Row.

Yoes, M., & Silverman, M. J. (2020). Expectancy Theory of Motivation and Substance Use Treatment: Implications for Music Therapy. Music Therapy Perspectives, 39(3), 1-31.