Evaluation and analysis of virtual tour application acceptance in Cau Belayu Tabanan Village using Technology Acceptance Model (TAM)

Ni Ketut Pradani Gayatri Sarja; I Putu Krisna Arta  Widana; Ni Luh Ayu Kartika Yuniastari  Sarja

doi:10.31763/businta.v8i1.594

Authors

Ni Ketut Pradani Gayatri Sarja Electrical Engineering Departement, Bali State Polytechnic
I Putu Krisna Arta Widana Tourism Departement, Bali State Polytechnic
Ni Luh Ayu Kartika Yuniastari Sarja Tourism Departement, Bali State Polytechnic

DOI:

https://doi.org/10.31763/businta.v8i1.594

Keywords:

Tourism Village, Virtual Tour, Technology Acceptance Model

Abstract

Tourism villages are required to be innovative and creative in promoting their village if it want to survive in the midst of the COVID-19 pandemic situation. Utilise one part of virtual reality, namely virtual tours, can be used to promoting tourism villages, one of them is the Cau Belayu Tourism Village. Virtual tour is a new technology, therefore it is necessary to analyze the virtual tour that was developed with the aim of measuring the level of usefulness and level of user acceptance of the Virtual Tour of Cau Belayu Tourism Village. The purpose of this research is to evaluate and analyze the level of user acceptance of the Cau Belayu Tourism Village Virtual Tour so that in its implementation it can attract tourists to visit the village and increase the tendency of tourists to visit tourist villages directly. This research uses the Acceptance Model (TAM) evaluation model which has been proven to be effective in evaluating the level of acceptance of other technologies, therefore it is also used to evaluate the developed virtual tour. Several constructs used as test variables from the TAM model are used, namely Perceived Ease of Use (PEOU), Perceived Enjoyment (ENJ), Perceived Usefulness (PU), and Tendency to visit Actual Sites (TenAS). The results of hypothesis testing show that the four hypotheses are proven, namely H1: PEOU has a positive effect on PU with a significance value of 0.0030 < 0.05, H2: PEOU has a positive effect on ENJ with a significance value of 0.0030 < 0.05, H3: PU increased TenAs with a significance value of 0.007 < 0.05 and H4: ENJ increased TenAs with a significance value of 0.00 < 0.05.

References

S. Pramana, D. Y. Paramartha, G. Y. Ermawan, N. F. Deli, and W. Srimulyani, “Impact of COVID-19 pandemic on tourism in Indonesia,” Curr. Issues Tour., vol. 25, no. 15, pp. 2422–2442, Aug. 2022, doi: 10.1080/13683500.2021.1968803.

I. P. G. Parma, A. A. N. Y. M. Mahardika, I. K. Armawan, and P. Y. S. Novia, “The Strategy of Developing Historical Tourism in the City of Singaraja Based on CHSE During the Covid-19 Pandemic,” 2021, doi: 10.2991/aebmr.k.211124.006.

Y. Li, H. Song, and R. Guo, “A study on the causal process of virtual reality tourism and its attributes in terms of their effects on subjective well-being during COVID-19,” Int. J. Environ. Res. Public Health, vol. 18, no. 3, pp. 1–16, 2021, doi: 10.3390/ijerph18031019.

W. H. Lo and K. L. B. Cheng, “Does virtual reality attract visitors? The mediating effect of presence on consumer response in virtual reality tourism advertising,” Inf. Technol. Tour., vol. 22, no. 4, pp. 537–562, Dec. 2020, doi: 10.1007/s40558-020-00190-2.

S. An, Y. Choi, and C.-K. Lee, “Virtual travel experience and destination marketing: Effects of sense and information quality on flow and visit intention,” J. Destin. Mark. Manag., vol. 19, p. 100492, Mar. 2021, doi: 10.1016/j.jdmm.2020.100492.

H. Rafique, A. O. Almagrabi, A. Shamim, F. Anwar, and A. K. Bashir, “Investigating the Acceptance of Mobile Library Applications with an Extended Technology Acceptance Model (TAM),” Comput. Educ., vol. 145, p. 103732, Feb. 2020, doi: 10.1016/j.compedu.2019.103732.

G.-Z. Wong, K.-H. Wong, T.-C. Lau, J.-H. Lee, and Y.-H. Kok, “Study of intention to use renewable energy technology in Malaysia using TAM and TPB,” Renew. Energy, vol. 221, p. 119787, Feb. 2024, doi: 10.1016/j.renene.2023.119787.

S. Lew, G. W. H. Tan, X. M. Loh, J. J. Hew, and K. B. Ooi, “The Disruptive Mobile Wallet in the Hospitality Industry: An Extended Mobile Technology Acceptance Model,” Technol. Soc., vol. 63, no. March, p. 101430, 2020, doi: 10.1016/j.techsoc.2020.101430.

D. Dhagarra, M. Goswami, and G. Kumar, “Impact of Trust and Privacy Concerns on Technology Acceptance in Healthcare: An Indian Perspective,” Int. J. Med. Inform., vol. 141, no. April, p. 104164, 2020, doi: 10.1016/j.ijmedinf.2020.104164.

I. Aburagaga, M. Agoyi, and I. Elgedawy, “Assessing Faculty’s Use of Social Network Tools in Libyan Higher Education via a Technology Acceptance Model,” IEEE Access, vol. 8, pp. 116415–116430, 2020, doi: 10.1109/ACCESS.2020.3004200.

M. R. Fearnley and J. Amora, “Learning Management System Adoption in Higher Education Using the Extended Technology Acceptance Model,” IAFOR J. Educ. Technol. Educ., vol. 8, no. 2, pp. 89–106, 2020, doi: 10.22492/ije.8.2.05.

G. Y. Koi-Akrofi, D. Aboagye-Darko, J. Nyame, E. Gaisie, and I. O. Danquah, “Students’ Acceptance of Learning Management Systems at the Peak of Covid-19 Pandemic by Employing a Modified Technology Acceptance Model,” Indian J. Sci. Technol., vol. 16, no. 14, pp. 1069–1081, 2023, doi: 10.17485/ijst/v16i14.2451.

S. Candra, F. Nuruttarwiyah, and I. H. Hapsari, “Revisited the Technology Acceptance Model with E-Trust for Peer-to-Peer Lending in Indonesia (Perspective from Fintech Users),” Int. J. Technol., vol. 11, no. 4, pp. 710–721, 2020, doi: 10.14716/ijtech.v11i4.4032.

E. Febia Manda and R. Salim, “Analysis of the Influence of Perceived Usefulness, Perceived Ease of Use and Attitude Toward Using Technology on Actual to Use Halodoc Application Using the Technology Acceptance Model (TAM) Method Approach,” Int. Res. J. Adv. Eng. Sci., vol. 6, no. 1, pp. 135–140, 2021. [Online]. Available at: https://irjaes.com/wp-content/uploads/2021/01/IRJAES-V6N1P101Y21.pdf.

T. H. Huang, F. Liu, L. C. Chen, and C. C. Tsai, “The acceptance and impact of Google Classroom integrating into a clinical pathology course for nursing students: A technology acceptance model approach,” PLoS One, vol. 16, no. 3 March 2021, pp. 1–16, 2021, doi: 10.1371/journal.pone.0247819.

M. Najib and F. Fahma, “Investigating the adoption of digital payment system through an extended technology acceptance model: An insight from the Indonesian small and medium enterprises,” Int. J. Adv. Sci. Eng. Inf. Technol., vol. 10, no. 4, pp. 1702–1708, 2020, doi: 10.18517/ijaseit.10.4.11616.

K. Gbongli, “Understanding Mobile Financial Services Adoption through a Systematic Review of the Technology Acceptance Model,” Open J. Bus. Manag., vol. 10, no. 05, pp. 2389–2404, 2022, doi: 10.4236/ojbm.2022.105119.

H. Alshurafat, M. O. Al Shbail, W. M. Masadeh, F. Dahmash, and J. M. Al-Msiedeen, “Factors affecting online accounting education during the COVID-19 pandemic: an integrated perspective of social capital theory, the theory of reasoned action and the technology acceptance model,” Educ. Inf. Technol., vol. 26, no. 6, pp. 6995–7013, 2021, doi: 10.1007/s10639-021-10550-y.

H. A. Alfadda and H. S. Mahdi, “Measuring Students’ Use of Zoom Application in Language Course Based on the Technology Acceptance Model (TAM),” J. Psycholinguist. Res., vol. 50, no. 4, pp. 883–900, 2021, doi: 10.1007/s10936-020-09752-1.

W. M. Al-Rahmi, N. Yahaya, M. M. Alamri, I. Y. Alyoussef, A. M. Al-Rahmi, and Y. Bin Kamin, “Integrating Innovation Diffusion Theory with Technology Acceptance Model: Supporting Students’ Attitude Towards Using a Massive Open Online Courses (MOOCs) Systems,” Interact. Learn. Environ., vol. 29, no. 8, pp. 1380–1392, 2021, doi: 10.1080/10494820.2019.1629599.

J. H. Han and H. J. Sa, “Acceptance of and satisfaction with online educational classes through the technology acceptance model (TAM): the COVID-19 situation in Korea,” Asia Pacific Educ. Rev., vol. 23, no. 3, pp. 403–415, 2022, doi: 10.1007/s12564-021-09716-7.

B. Kelerey, E. T. Djatmika, and E. Siswanto, “the Effect of Technology Acceptance Model and Organizational Culture To the Employee Performance and Attitude As Mediator Variable ( a Study At Academik and Library Employee in Universitas Negeri Malang, Indonesia),” South East Asia J. Contemp. Business, Econ. Law, vol. 21, no. 5, pp. 10–20, 2020. [Online]. Available at: https://seajbel.com/wp-content/uploads/2020/04/SEAJBEL21_203.pdf.

M. Christian and H. Agung, “Urban Consumer Behavior On Buying Multi-Products On Shopee Using Technology Acceptance Model (TAM),” Widyakala J. Pembang. Jaya Univ., vol. 7, no. 2, p. 54, 2020, doi: 10.36262/widyakala.v7i2.337.

K. F. Yuen, L. Cai, G. Qi, and X. Wang, “Factors influencing autonomous vehicle adoption: an application of the technology acceptance model and innovation diffusion theory,” Technol. Anal. Strateg. Manag., vol. 33, no. 5, pp. 505–519, 2021, doi: 10.1080/09537325.2020.1826423.

M. A. Camilleri and L. Falzon, “Understanding motivations to use online streaming services: integrating the technology acceptance model (TAM) and the uses and gratifications theory (UGT),” Spanish J. Mark. - ESIC, vol. 25, no. 2, pp. 217–238, 2021, doi: 10.1108/SJME-04-2020-0074.

B. Al Kurdi, M. Alshurideh, and S. A. Salloum, “Investigating a Theoretical Framework for e-learning Technology Acceptance,” Int. J. Electr. Comput. Eng., vol. 10, no. 6, pp. 6484–6496, 2020, doi: 10.11591/IJECE.V10I6.PP6484-6496.

R. D. Alsaffar, A. Alfayly, and N. Ali, “Extended Technology Acceptance Model for Multimedia-Based Learning in Higher Education,” Int. J. Inf. Educ. Technol., vol. 12, no. 12, pp. 1300–1310, 2022, doi: 10.18178/ijiet.2022.12.12.1754.

A. Elshafey, C. C. Saar, E. B. Aminudin, M. Gheisari, and A. Usmani, “Technology acceptance model for augmented reality and building information modeling integration in the construction industry,” J. Inf. Technol. Constr., vol. 25, pp. 161–172, 2020, doi: 10.36680/j.itcon.2020.010.

L. Setiyani, F. Effendy, and A. A. Slamet, “Using Technology Acceptance Model 3 (TAM 3) at Selected Private Technical High School: Google Drive Storage in E-Learning,” Utamax J. Ultim. Res. Trends Educ., vol. 3, no. 2, pp. 80–89, 2021, doi: 10.31849/utamax.v3i2.6746.

I. Y. Alyoussef and W. M. Al-Rahmi, “Big data analytics adoption via lenses of Technology Acceptance Model: empirical study of higher education,” Entrep. Sustain. Issues, vol. 9, no. 3, pp. 399–413, 2022, doi: 10.9770/jesi.2022.9.3(24).

C. S. L. M. Lazim, N. D. B. Ismail, and M. D. A. K. Tazilah, “Application of Technology Acceptance Model (Tam) Towards Online Learning During Covid-19 Pandemic: Accounting Students Perspective,” Int. J. Business, Econ. Law, vol. 24, no. 1, pp. 13–20, 2021. [Online]. Available at: https://www.ijbel.com/wp-content/uploads/2021/02/IJBEL24_507.pdf.

F. Pradana, F. A. Bachtiar, and B. Priyambadha, “Assessment of E-Learning Technology Acceptance for Gamification-based Programming using the Technology Acceptance Model (TAM) Method,” J. Teknol. Inf. dan Ilmu Komput., vol. 6, no. 2, p. 163, 2019, doi: 10.25126/jtiik.2019621288.

M. C. Roziqin, D. R. P. Mudiono, and N. Amalia, “Analysis of SIMPUS Acceptance in View from User Perceptions at the Mojoagung Community Health Center using the TAM Method,” J. Teknol. Inf. dan Ilmu Komput., vol. 8, no. 1, p. 47, 2021, doi: 10.25126/jtiik.0812907.

M. Lestari, H. D. Purnomo, and I. Sembiring, “The Influence of E-Payment Trust on Transaction Interest on E-Marketplace Using the Technology Acceptance Model (TAM) Framework 3,” J. Teknol. Inf. dan Ilmu Komput., vol. 8, no. 5, p. 977, 2021, doi: 10.25126/jtiik.2021855212.

A. Mulyanto, S. Sumarsono, T. F. Niyartama, and A. K. Syaka, “Application of the Technology Acceptance Model (TAM) in Testing the MosqueLink Application Acceptance Model,” Semesta Tek., vol. 23, no. 1, pp. 27–38, 2020, doi: 10.18196/st.231253.

E. K. D. Ningtias, T. Lathif Mardi Suryanto, and E. Maya Safitri, “Analysis of Acceptance Factors for the UPN 'Veteran' East Java Virtual Tour Using the TAM Method,” J. Inform. dan Sist. Inf., vol. 2, no. 2, pp. 369–376, 2021, doi: 10.33005/jifosi.v2i2.330.

J. S. Lai, Y. C. Peng, M. J. Chang, and J. Y. Huang, “Panoramic mapping with information technologies for supporting engineering education: A preliminary exploration,” ISPRS Int. J. Geo-Information, vol. 9, no. 11, 2020, doi: 10.3390/ijgi9110689.

E. A. Baura, V. Tulenan, X. B. N. Najoan, T. Informatika, U. Sam, and R. Manado, “Virtual Tour 360 Degree Panorama of Tobelo City Tourist Attractions,” J. Tek. Inform., vol. 13, no. 3, 2018, doi: 10.35793/jti.13.3.2018.28072. [Online]. Available at: https://ejournal.unsrat.ac.id/v3/index.php/informatika/article/view/28072.

L. Argyriou, D. Economou, and V. Bouki, “Design methodology for 360° immersive video applications: the case study of a cultural heritage virtual tour,” Pers. Ubiquitous Comput., vol. 24, no. 6, pp. 843–859, Dec. 2020, doi: 10.1007/s00779-020-01373-8.

S. Rahimizhian, A. Ozturen, and M. Ilkan, “Emerging realm of 360-degree technology to promote tourism destination,” Technol. Soc., vol. 63, p. 101411, Nov. 2020, doi: 10.1016/j.techsoc.2020.101411.

Moh Hadi Subowo, “The Influence of Technology Acceptance Model (TAM) Principles on Customer Satisfaction of the Xyz Online Motorcycle Taxi Application,” Walisongo J. Inf. Technol., vol. 2, no. 2, p. 79, 2020, doi: 10.21580/wjit.2020.2.2.6939.

A. Mayjeksen and D. Pibriana, “Technology Acceptance Model (TAM) to analyze user acceptance of the use of the XYZ online shopping application,” JATISI (Jurnal Tek. Inform. dan Sist. Informasi), vol. 7, no. 3, pp. 580–592, 2020, doi: 10.35957/jatisi.v7i3.382.

M. Dwi Jaelani, A. Prasetya Wibawa, and U. Pujianto, “Technology acceptance model of student ability and tendency classification system,” Bull. Soc. Informatics Theory Appl., vol. 2, no. 2, pp. 47–57, 2018, doi: 10.31763/businta.v2i2.113