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The rapid growth in the number of online users is not directly proportional to the increase in online sales of gadgets (mobile phones and tablets) which have stagnated with a declining trend. This study was conducted with the aim of analyzing the effect of usability, trust, and perceived risk on purchase intention. This research uses the causal research method and descriptive analysis. Meanwhile, examining all research problems is done by distributing questionnaires in several places. The scale used in this measurement uses a Likert scale. The population in this study is ABC application users. Then the sampling method is probability sampling (random sampling) with the sampling method using a random sampling technique. The data in this study uses Partial Least Square (PLS) analysis with the help of the SmarPLS version 3.0 program. The results of the study show that: 1) Ease of use, easy to understand, and can provide benefits for an application proven to have a positive and significant effect on purchase intention, 2) Consumer trust is proven to have a positive and significant influence on purchase intention, and 3) Risk is proven to have a positive influence on purchase intention. negative and significant to purchase intention.

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References

  1. Agus, W. (2015). Analisis Multivariat Terapan. Yogyakarta: UPP STIM YKPN.
     Google Scholar
  2. Batbayar, M., Batsaikhan, B., Enebish, G., Munkhzaya, U., Sodnompil, N. (2018). Influences of Website Quality on Online Purchase Intention of Air Ticketing Service: In case of Mongolia. Invention Journal of Research Technology in Engineering & Management, 2(6), 13-18.
     Google Scholar
  3. Ghozali, I. (2011). Aplikasi Analisis Multivariate dengan Program IBM SPSS. 19, (5th ed). Semarang: Badan Penerbit Universitas Diponegoro.
     Google Scholar
  4. Grazioli, S., & Jarvenpaa, S. L. (2000). Perils of Internet fraud: An empirical investigation of deception and trust with experienced Internet consumers. IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 30(4), 395-410.
     Google Scholar
  5. Ha, H. Y. (2002). The Effects of Consumers Risk Perception on Pre-Purchase Information in Online Auctions. Manchester School of Management, 1-22.
     Google Scholar
  6. Hsu, M. H., & Chiu, C.M. (2004). Internet self-efficacy and electronic service acceptance. Decision Support System, 38, 369-381.
     Google Scholar
  7. Javalgi, R. & Ramsey, R. (2001). Strategic Issues of E-Commerce as an Alternative Global Distribustion System. International Marketing Review, 18(4).
     Google Scholar
  8. Kesharwani, A., & Bisht, S. S. (2012). The Impact of Trustand Perceived Risk on Internet Banking Adoptionin India: An Extension of Technology AcceptanceModel. International Journal of Bank Marketing, 30(4), 303-322.
     Google Scholar
  9. Kim, D. J., Ferrin D. L., & Rao, H.R. (2008). A Trust-Based Consumer Decision Making Model in Electronic Commerce: The Role of Trust, Perceived Risk, and Their Antecedents. Decision Support Systems, 44(2).
     Google Scholar
  10. Kinnear, T. C., & Taylor, J. R. (1995). Riset Pemasaran, Edisi Tiga. Jakarta: Erlangga.
     Google Scholar
  11. Kotler, P., & Keller, K. L. (2013). Manajemen Pemasaran, Jilid 1, Edisi 13. Jakarta: Erlangga.
     Google Scholar
  12. Laudon, K. C., & Traver, C. G. (2012). E-commerce 2012 (Business, Technology, Society) (8th Ed). Pearson.
     Google Scholar
  13. Maduku, D. K. (2014). Behavior intention towards mobile banking usage by South African retail banking clients. Investment Management and Financial Innovations, 11(3).
     Google Scholar
  14. Mayer, R. C., Davis, J. H., & Schoorman, F. D. (1995). An Integrative Model of Organizational Trust. Academy of Management Review, 20(3), 709-734.
     Google Scholar
  15. Murray, K. B., & Schlacter, J. L. (1990). The Impact of Services versus Goods on Consumers’ Assessment of Perceived Risk and Variability. Journal of the Academy of Marketing Science, 18(1), 51–65.
     Google Scholar
  16. Simamora, B. (2011). Memenangkan Pasar dengan Pemasaran Efektif dan Profitable. Jakarta: Dealer Gramedia Pustaka Utama.
     Google Scholar
  17. Turban, E., King. D., Lee, J. K., Liang, T. P. & Turban, D. C. (2017). Electronic Commerce: A Managerial and Social Networks Perspective. (8th Ed). Switzerland: Springer International Publishing.
     Google Scholar
  18. Ustadiyanto, R. (2001). Framework E-commerce, Edisi Kedua. Yogyakarta: Andi.
     Google Scholar
  19. Medcom.id (2017, August 23). https://www.medcom.id/teknologi/news-teknologi/lKYMZPPK-lazada-dan-tokopedia-jadi-e-commerce-terpopuler-di-indonesia
     Google Scholar
  20. Kominfo (2019, May 20). https://kominfo.go.id/content/detail/3415/ kominfo-pengguna-internet-di-indonesia-63-juta-orang/0/berita_ satker
     Google Scholar
  21. Marketeers (2019, August 09). https://marketeers.com/tren-penjualan-smartphone-global-alami-penurunan/.
     Google Scholar