Integration of Mobile Perceived Compatibility, Mobile Perceived Financial Resources, and Mobile Perceived System Quality with TAM in Virtual Hotel Operator Applications in Indonesia

Graha Prakarsa; Vani Maharani Nasution; Irena Nurul Ramadhiana; Ari Ramdan Ginanjar

doi:10.47194/ijgor.v1i2.36

Authors

Graha Prakarsa
gprakarsa@gmail.com
Vani Maharani Nasution
Irena Nurul Ramadhiana
Ari Ramdan Ginanjar

Keywords:

TAM, VHO, Compatibility, Financial Resources, System Quality

Abstract

The development of current technology makes people want to book hotel rooms that suit their own needs and desires, then the VHO application in Indonesia comes. This causes the need for a model that is able to measure the extent to which the level of acceptance of VHO applications. The existence of a measurement model for the acceptance of the VHO application will greatly help business people in this field to be able to develop their products and improve the performance of the service products they offer. The purpose of this research is to determine how much acceptance of VHO application users based on the Technology Acceptance Model (TAM). This research approach uses a quantitative approach with survey methods. The data collection technique is using a questionnaire that distributed randomly to users of the VHO application. The data analysis method used is descriptive analysis, using multiple linear regression techniques. The results of this study indicate that the variables of mobile perceived compatibility, mobile perceived financial resources, and mobile perceived system quality have a simultaneous effect on the mobile variable perceived usefulness, the mobile variable perceived ease of use and the intention to use variable.

References

Abdullah, F., & Ward, R. (2016). Developing a General Extended Technology Acceptance Model for E-Learning (GETAMEL) by analysing commonly used external factors. Computers in Human Behavior, 56, 238-256.

Aprianty, F., & Tanamal, C. E. (2018). Kualitas Sistem Informasi Dan Pengambilan Keputusan Individual: Peran Mediasi Koordinasi Dan Otonomi Kerja. Dinamika Akuntansi Keuangan dan Perbankan, 7(1), 57-72.

Apriyanto, A. (2015). Kajian Penerimaan Sistem Informasi Kepesertaan dengan Pendekatan Technology Acceptance Model Studi Kasus pada Dana Pensiun Pln. Jurnal Pilar Nusa Mandiri, 11(1), 30-42.

Basri, A. I. (2019). Pengaruh Kualitas Layanan Terhadap Kepuasan dan Loyalitas Nasabah Bank Pengguna E-Banking. Bisman (Bisnis dan Manajemen): The Journal of Business and Management, 2(1), 1-18.

Cavana, R., Delahaye, B., & Sekeran, U. (2001). Applied business research: Qualitative and quantitative methods. New York: John Wiley & Sons. Chen, L. D. (2008). A model of consumer acceptance of mobile payment. International Journal of Mobile Communications, 6(1), 32-52.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.

Dumpit, D. Z., & Fernandez, C. J. (2017). Analysis of the use of social media in Higher Education Institutions (HEIs) using the Technology Acceptance Model. International Journal of Educational Technology in Higher Education, 14(1), 5.

Gunawan, E., Sebastian, G. O., & Harianto, A. (2019). Analisa Pengaruh Kualitas Layanan Terhadap Kepuasan Pelanggan Menginap di Empat Virtual Hotel Operator di Surabaya. Journal of Indonesian Tourism, Hospitality and Recreation, 2(2), 145-153.

Hartono, J. (2004), Analisis dan Desain Sistem Informasi. Yogyakarta: Graha Ilmu. Hong, M., & Harrington, D. (2016). The effects of caregiving resources on perceived health among caregivers. Health & Social Work, 41(3), 155-163.

Ismail, H. A. (2016). Intention to use smartphone through perceived compatibility, perceived usefulness, and perceived ease of use. JDM (Jurnal Dinamika Manajemen), 7(1), 1-10.

Kurniawati, H. A., Arif, A., & Winarno, W. A. (2017). Analisis minat penggunaan mobile banking dengan pendekatan Technology Acceptance Model (TAM) yang telah dimodifikasi. e-Journal Ekonomi Bisnis dan Akuntansi, 4(1), 24-29.

Kusumawati, F. (2020). Tren Virtual Hotel Operator (VHO) di Yogyakarta: Studi Kasus Hotel Oyo. Media Wisata, 18(1), 90-100.

Leong, L. Y., Hew, T. S., Tan, G. W. H., & Ooi, K. B. (2013). Predicting the determinants of the NFC-enabled mobile credit card acceptance: A neural networks approach. Expert Systems with Applications, 40(14), 5604-5620.

McKnight, D. H., Lankton, N. K., Nicolaou, A., & Price, J. (2017). Distinguishing the effects of B2B information quality, system quality, and service outcome quality on trust and distrust. The Journal of Strategic Information Systems, 26(2), 118-141.

Mohamed, A. H. H., Tawfik, H., Al-Jumeily, D., & Norton, L. (2011, December). MoHTAM: A technology acceptance model for mobile health applications. In 2011 Developments in E-systems Engineering (pp. 13-18).

IEEE. Nurzanah, I., & Sosianika, A. (2019, August). Promosi Penjualan dan Minat Beli: Penerapan Modifikasi Technology Acceptance Model di E-Marketplace Shopee Indonesia. In Prosiding Industrial Research Workshop and National Seminar (Vol. 10, No. 1, pp. 706-714).

Ooi, K. B., & Tan, G. W. H. (2016). Mobile technology acceptance model: An investigation using mobile users to explore smartphone credit card. Expert Systems with Applications, 59, 33-46.

Ozturk, A. B., Bilgihan, A., Nusair, K., & Okumus, F. (2016). What keeps the mobile hotel booking users loyal? Investigating the roles of self-efficacy, compatibility, perceived ease of use, and perceived convenience. International Journal of Information Management, 36(6), 1350-1359.

Peters, T., IÅŸÄ±k, Ã–., Tona, O., & PopoviÄ, A. (2016). How system quality influences mobile BI use: The mediating role of engagement. International Journal of Information Management, 36(5), 773-783.

Prakarsa, G. (2019). Analisis Faktor-faktor Penerimaan Konsumen Pada Aplikasi E-Marketplace Lazada Menggunakan TAM. Sainteks: Jurnal Sains dan Teknik, 1(2), 104-116.

Prasojo, S. (2020). Analisa Pengaruh Digital Marketing Terhadap Brand Advocacy Dengan Perceived Service Quality Dan Customer Engagement Sebagai Variabel Intervening Pada Virtual Hotel Operator Reddoorz. Jurnal Strategi Pemasaran, 7(1), 1-12.

Rafique, H., Almagrabi, A. O., Shamim, A., Anwar, F., & Bashir, A. K. (2020). Investigating the acceptance of mobile library applications with an extended technology acceptance model (TAM). Computers & Education, 145, 103732.

Septianita, W., Winarno, W. A., & Arif, A. (2014). Pengaruh Kualitas Sistem, Kualitas Informasi, Kualitas Pelayanan Rail Ticketing System (RTS) Terhadap Kepuasan Pengguna (Studi Empiris Pada PT. KERETA API INDONESIA (PERSERO) DAOP 9 JEMBER). e-journal Ekonomi Bisnis dan Akuntansi, 1(1), 53-56.

Schierz, P. G., Schilke, O., & Wirtz, B. W. (2010). Understanding consumer acceptance of mobile payment services: An empirical analysis. Electronic commerce research and applications, 9(3), 209-216.

Taherdoost, H. (2018). Development of an adoption model to assess user acceptance of e-service technology: E-Service Technology Acceptance Model. Behaviour & Information Technology, 37(2), 173-197.

Tom Dieck, M. C., & Jung, T. (2018). A theoretical model of mobile augmented reality acceptance in urban heritage tourism. Current Issues in Tourism, 21(2), 154-174.

Tulodo, B. A. R., & Solichin, A. (2019). Analisis Pengaruh Kualitas Sistem, Kualitas Informasi dan Perceived Usefulness terhadap Kepuasan Pengguna Aplikasi Care dalam Upaya Peningkatan Kinerja Karyawan. JRMSI-Jurnal Riset Manajemen Sains Indonesia, 10(1), 25-43.

Utomo, Y., & Walujo, D. A. (2018). Penerapan konstruk technology acceptance model (tam) pada layanan mobile application di pdam surya sembada kota surabaya. Waktu, 16(1), 39-48.

Wiastuti, R. D., & Susilowardhani, E. M. (2017). Virtual hotel operator; Is it disruption for hotel industry?. Jurnal Hospitality dan Pariwisata, 2(2), 201-215.

Zarmpou, T., Saprikis, V., Markos, A., & Vlachopoulou, M. (2012). Modeling usersâ€™ acceptance of mobile services. Electronic Commerce Research, 12(2), 225-248.