The Influencing Factors toward Universitas Warmadewa Student Interests in Using Mobile Commerce

  • Desak Rurik Pradnya Paramitha Nida Faculty of Economics and Business, Universitas Udayana
  • I Made Dwi Sumba Wirawan Faculty of Economics and Business, Universitas Udayana
  • I Made Dwi Harmana Faculty of Economics and Business, Universitas Udayana
Keywords: E-Commerce, User Interest, Mobile Commerce


Mobile commerce provides an overview of the development of electronic commerce. The rapid growth of the mobile phone population has accompanied the emergence and development of wireless technology which has made mobile commerce an important part of existing business strategies. The purposes of this study are to treasure the empirical evidence on the factors that influence the interest of mobile commerce users as input for e-commerce providers and users as well as to describe the reflection of the development and needs conditions of the business world, especially in the mobile commerce sector. This study uses primary data collected using a questionnaire, as a data collection method. Data collection method was a survey method through a questionnaire.  study belongs to a qualitative research with Multiple Linear Regression Analysis technique. The results showed that the users of mobile commerce have been increasing in number. Besides that, the perceived usefulness, perceived ease of use, perceived cost, perceived social influence, perceived trust, perceived privacy, and perceived security had an impact on the user’s interests in using the mobile commerce.


Ajzen, I. (1991). Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, 50(2).

Alwafi, F., & Magnadi, R. H. (2016). Pengaruh Persepsi Keamanan, Kemudahan Bertransaksi, Kepercayaan Terhadap Toko dan Pengalaman Berbelanja Terhadap Minat Beli Secara Online Pada Situs Jual Beli Tokopedia.Com. Diponegoro Journal of Management, 5(2).

Anggraeni, P., & Madiawati, P. N. (2016). Pengaruh Kepercayaan dan Kualitas Informasi terhadap Keputusan Pembelian secara Online pada Situs E-Proceeding of Management, 3(2).

Azwar, S. (2010). Metode Penelitian. Yogyakarta: Pustaka Pelajar.

Chaffey, D. (2009). E-business and E-Commerce Management (4th edition).

Chong, A. Y.-L. (2013). A two-staged SEM-neural network approach for understanding and predicting the determinants of m-commerce adoption. Expert Systems with Applications: An International Journal, 40(4).

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319–339.

Dewi, N. M. A. P., & Warmika, I. G. K. (2015). Peran Persepsi Kemudahan Penggunan, Persepsi Manfaat Dan Perspsi Resiko Terhadap Niat Menggunakan Mobile Commerce di Kota Denpasar. E-Jurnal Manajemen, 5(4).

Dwitasari, M., & Baridwan, Z. (2014). Faktor Determinan Minat Individu Menggunakan M-Commerce: Technology Acceptance Model yang Dimodifikasi. Jurnal Manajemen Pemasaran, 2(1).

Erickson, J., & Siau, K. (2003). e-ducation. Communications of the ACM, 46(9).

Hartono, J. (2007). Metodologi Penelitian Bisnis: Salah Kaprah dan Pengalaman-Pengalaman. Yogyakarta: BPFE.

Havelka, D. (2003). Students Beliefs and Attitudes Toward Information Technology. Information Systems Education Journal, 1(40).

Hossain, M. M., & Prybutok, V. R. (2008). Consumer Acceptance of RFID Technology: An Exploratory Study. IEEE Transactions On Engineering Management, 55(2).

Kassim, N., & Asiah Abdullah, N. (2010). The Effect of Perceived Service Quality Dimensions on Customer Satisfaction, Trust, and Loyalty in E-Commerce Settings: A Cross Cultural Analysis. Asia Pacific Journal of Marketing and Logistics, 22.

Lallmahamood, M. (2007). An Examination of Individual’s Perceived Security and Privacy of the Internet in Malaysia and the Influence of This on Their Intention to Use E-Commerce: Using An Extension of the Technology Acceptance Model. Journal of Internet Banking and Commerce, 12(3), 1–26.

Law Chui Chui, M., Kwok, C.-W. R., & NG Chi Ho, M. (2016). An extended online purchase intention model for middle-aged online users. Electronic Commerce Research and Applications.

Liu, N., & Yu, R. (2017). Identifying design feature factors critical to acceptance and usage behavior of smartphones. Computers in Human Behavior, 70.

Luarn, P., & Lin, H. H. (2003). A Customer Loyalty Model for E-service Context. Journal of Electronic Commerce Research, 4(4).

Mahardika, D. (2018). Faktor - Faktor Yang Mempengaruhi Minat Penggunaan Mobile Commerce Pada Mahasiswa Jurusan Akuntansi Universitas Negeri Di Kota Malang (Universitas Brawijaya).

Mansyur, M. U., Hariadi, B., & Andayani, W. (2018). A Behavioral Study on Middle-Class Consumers in Adopting M-Commerce in East Java. Jurnal Economia: Review of Business and Economics Studies, 14(2).

Nugroho, A., Najib, M., & Simanjuntak, M. (2018). Factors Affecting Consumer Interest In Electronic Money Usage With Theory Of Planned Behavior (TPB). Journal of Consumer Sciences, 3(1).

Pan, J. Y., & Truong, D. (2018). Passengersâ€TM intentions to use low-cost carriers: An extended theory of planned behavior model. Journal of Air Transport Management, 69(C).

Rashotte, L. (2007). Social Influence. The Blackwell Encyclopedia of Sociology.

Romney, M. B., & Steinbart, P. J. (2003). Accounting information systems.

Sarwono, S. W., & Meinarno, E. A. (2009). Psikologi Sosial.

Scheible, J., & Ojala, T. (2005). MobiLenin combining a multi-track music video, personal mobile phones and a public display into multi-user interactive entertainment. MULTIMEDIA ’05: Proceedings of the 13th Annual ACM International Conference on Multimedia.

Tang, T. L.-P., & Chen, Y.-J. (2008). Intelligence Vs. Wisdom: The Love of Money, Machiavellianism, and Unethical Behavior across College Major and Gender. Journal of Business Ethics, 82(1).

Wei, T. T., Marthandan, G., Chong, A. Y.-L., Ooi, K.-B., & Arumugam, S. (2009). What drives Malaysian m-commerce adoption? An empirical analysis. Industrial Management & Data Systems, 109(3).

Wu, J.-H., & Wang, S.-C. (2005). What drives mobile commerce? An empirical evaluation of the revised technology acceptance model. Journal of Information and Management, 42.

Yadav, R., Sharma, S. K., & Tarhini, A. (2016). A multi-analytical approach to understand and predict the mobile commerce adoption. Journal of Enterprise Information Management, 29(2).

Abstract viewed = 13 times
PDF downloaded = 17 times