FACTOR ANALYSIS ON PET LOVERS INTENTION TO UTILIZE TELEMEDICINE APPLICATION FOR PETS THROUGH INTEGRATION MODEL UTAUT2 AND TPB

  • Fredlina Margaret Universitas Bina Nusantara
  • Firdaus Alamsjah universitas Bina Nusantara
  • Anak Agung Ngurah Perwira Redi Perwira Redi universitas Bina Nusantara
Abstract views: 228 , PDF downloads: 160
Keywords: Animal health, Mobile application, Pets, Telemedicine, TPB, UTAUT2.

Abstract

The purpose of this study were to determine the factors that influence pet owners' intentions to use telemedicine applications for their pets. Based on the Unified Theory of Acceptance and Use of Technology (UTAUT2) and the Theory of Planned Behavior (TPB), in order to gather information, a survey of pet owners in Indonesia a random sampling method was used. Respondents filled out a total of 400  questionnaires, which were gathered. Using Smart Partial Least Squares (PLS) version 3.0, an analysis was done on the data that was collected. Positive factors included performance and effort expectations, attitude toward use, facilitating conditions, subjective norm, and intention to use. According to the findings, future development strategies should prioritize factors that positively influence pet owners' intentions to use telemedicine apps for pets.

Downloads

Download data is not yet available.

References

David Trafimow, P. S. (2010). Evidence that perceived behavioural control is a multidimensional construct:

Perceived control and perceived difficulty. British Journal of Social Psychology,

https://doi.org/10.1348/014466602165081.

Hong Z., e. a. (2020). "Telemedicine During the COVID-19 Pandemic: Experiences From Western China". J

Med Internet Res, 22(5): p. e19577. https://doi.org/10.2196/19577 PMID: 32349962.

Ajzen, I. (1985). "From Intentions to Actions: A Theory of Planned Behavior”. in Action Control, Springer, pp.

–39.

Ajzen, I., & Fishbein, M. (1977). Attitude-behavior relations: A theoretical analysis and review of empirical

research. Psychological Bulletin, 84(5). https://doi.org/10.1037/0033-2909.84.5.888.

Al-Qeisi, K. D. (2014). Website design quality and usage behavior: Unified theory of acceptance and use of

technology. Journal of Business Research, 67(11). https://doi.org/10.1016/j.jbusres.2014.06.016.

Anak Agung Ngurah Perwira Redi and Fredlina Margaret, R. N. (2021). Factor Analysis on Consumer

Behavior Intention to Use Homecare Application for Veterinarian Using Structural Equation Model.

Proceedings of the IEOM Society International.

Applebaum, C. A. (2020). "The concerns, difficulties, and stressors of caring for pets during covid-19: Results

from a large survey of U.S. pet owners”. Animals, vol. 10 no.10, pp. 1–14.

Ardvin Kester S.Ong, Y. B. (2020). Factors influencing the acceptance of telemedicine in the Philippines.

Technology in Society.

Blichfeldt, B. S., & Sakacova, K. L. (2018). Domesticated dogs and ‘doings’ during the holidays. Domestic

Animals, Humans, and Leisure: Rights, Welfare, and Well being, 1st edn, Routledge, 113–127.

Carlsson, C. C. (2006). Adoption of mobile devices/services – Searching for answers with the UTAUT.

Proceedings of the 39th Hawaii International Conference on System Sciences (Vol. 6), pp. 132a–132a.

Ahmad Arif Santosa, Y. T. (2022). How the COVID-19 Pandemic Affected the Sustainable Adoption of Digital

Signature: An Integrated Factors Analysis Model. Sustainability, 14, 4281.

https://doi.org/10.3390/su14074281.

Davis, R. P. (1989). “User Acceptance of Computer Technology: A Comparison of Two Theoretical Models” .

Manage. Sci., vol. 35, no. 8, pp. 982–1003.

Williams, M.D., Rana, N.P. and Dwivedi, Y.K. (2015). The unified theory of acceptance and use of technology

(UTAUT): a literature review. Journal of Enterprise Information Management, Vol. 28 No. 3, pp. 443-488.

https://doi.org/10.1108/JEIM-09-2014-0088.

Fishbein, M. &. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research.

Reading, MA: Addison-Wesley.

Gee, N. M. (2019). A systematic review of research on pet ownership and animal interaction among older

adults. Anthrozoos, 32 ¨ (2): 183–207.

Gerpott, T. &. (2014). Empirical research on mobile internet usage: A meta-analysis of the literature.

Telecommunications Policy, 38(3), 291-310. https://doi.org/10.1016/j.telpol.2013.10.003.

Aggelidis, V. C. (2009). Using a modified technology acceptance model in hospitals. Int. J. Med. Inform, 78,

–126.

Granić, N. M. (2015). "Technology acceptance model: a literature review from 1986 to 2013". Univers. Access

Inf. Soc., vol. 14 no.1, pp. 81–95.

Hollander J.E. and Carr B.G. (2020). "Virtually Perfect? Telemedicine for Covid-19". New England Journal of

Medicine, 382(18) :p. 1679–1681. https://doi.org/10.1056/NEJMp2003539 PMID: 32160451 .

Holt-Lunstad, J. S. (2010). Social relationships and mortality risk: a meta-analytic review. PLoS Med, 7(7),

e1000316.

Fagih, K. &.-I. (2014). Assessing the moderating effect of gender differences and individualism-collectivism

at individual-level on the adoption of mobile commerce technology: TAM3 perspective. Journal of Retailing

and Consumer Services, 22(C), 37-52.

Kirubel Biruk Shiferaw, e. a. (2021). "Healthcare providers’ acceptance of telemedicine and preference of

modalities during COVID-19 pandemics in a low-resource setting: An extended UTAUT model”. PLOS ONE.

Venkatesh, V., & Davis, F. D. (2000). Theoretical extension of the Technology Acceptance Model: Four

longitudinal field studies. Management Science, 46(2). https://doi.org/10.1287/mnsc.46.2.186.11926.

M. G. M. G. B. D. and F. D. D. v. Venkatesh, “. a.–4. (2003). "User acceptance of information technology:

Toward a unified view". MIS Q. Manag. Inf. Syst., vol.27, pp.425-478.

Venkatesh, V. M. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly,

, 425–478.

Young, J. B.-S. (2020). A qualitative analysis of pets as suicide protection for older people. Anthrozoos, 33(2):

–205.

Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology:

Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36, 157–178.

Walker, R. R. (2017). Factors that influence consumer’s adoption intention of mobile health services in the

United States: A quantitative study (Doctoral dissertation). Retrieved from ProQuest dissertation and thesis

database, (ProQuest Number: 10744366).

Kuang-Ming Kuo, P. P.-M.-C. (2015). The Influence of Telemedicine Experience on Physicians' Perceptions

Regarding Adoption. TELEMEDICINE and e-HEALTH MAY.

Wu, J. W. (2007). Mobile computing acceptance factors in the healthcare industry: a structural equation

model. Int. J. Med. Inf., 76, 66–77.

PlumX Metrics

Published
2023-09-20
How to Cite
Margaret, F., Alamsjah, F., & Perwira Redi, A. A. N. P. R. (2023). FACTOR ANALYSIS ON PET LOVERS INTENTION TO UTILIZE TELEMEDICINE APPLICATION FOR PETS THROUGH INTEGRATION MODEL UTAUT2 AND TPB. JARES (Journal of Academic Research and Sciences), 8(2), 27-36. https://doi.org/10.35457/jares.v8i2.3050