Factors That Determine Behavioral Intentions in Using E-Commerce with the Most Visitors in Indonesia
Abstract
This study aims to find out what factors influence behavioral intentions in using an e-commerce with the most visitors in Indonesia. The model used in this study is a combination of variables from several previous models related to the problem and variables relevant to this study such as Perceived Ease of Use, Perceived Usefulness, Effort Expectancy, Social Influence, Subjective Norm, and Behavioral Intention. Data collection in this study was to distribute questionnaires online. The questionnaire distributed produced 100 respondents and was processed with SPSS. From the results of processing with the T Test and Double Linear Regression, there are two hypotheses accepted and three hypotheses rejected, which states that the perceived ease of use and effort expectancy variables have a positive significant influence on behavioral intention, while perceived usefulness, social influence and subjective norm do not have a significant influence on behavioral intention.
Keywords
Full Text:
PDFReferences
Agudo-Peregrina, Á. F., Hernández-García, Á., & Pascual-Miguel, F. J. (2014). Behavioral intention, use behavior and the acceptance of electronic learning systems: Differences between higher education and lifelong learning. Computers in Human Behavior, 34, 301–314. https://doi.org/10.1016/j.chb.2013.10.035
Annur, C. M. (2019). 56% Pengguna Internet Indonesia Belum Pernah Bertransaksi E-Commerce. https://katadata.co.id/sortatobing/digital/5e9a5191594ca/56-pengguna-internet-indonesia-belum-pernah-bertransaksi-e-commerce
Asmuni, et al. (2020). Implementation of the principle of sale and purchase transactions through MLM in Brand Branch (BC) PT. Herba Penawar Alwahida Indonesia (HPAI) Tanjungbalai. Budapest International Research and Critics Institute-Journal (BIRCI-Journal) Volume 3, No. 4, Page: 3376-3385
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319–340.
Dewi, N. M. A. P., & Warmika, I. G. K. (2016). Peran Persepsi Kemudahan Penggunaan, Persepsi Manfaat Dan Persepsi Resiko Terhadap Niat Menggunakan Mobile Commerce Di Kota Denpasar. None, 5(4), 2606–2636.
Hong, I. B. (2019). Understanding and predicting behavioral intention to adopt mobile banking: The Korean experience. Journal of Global Information Management, 27(3), 182–202. https://doi.org/10.4018/JGIM.2019070110
Jayani, D. H. (2020, June 6). Pengunjung Situs Shopee Terbesar di Indonesia. Databoks. https://databoks.katadata.co.id/datapublish/2020/07/06/pengunjung-situs-shopee-terbesar-di-indonesia
Jogiyanto. (2007). Metode Penelitian Bisnis: Salah Kaprah dan Pengalaman - Pengalaman. BPFE.
Kelman, H. (1985). Compliance, Identification, and Internalization Three Processes of Attitude Change. Journal of Conflict Resolution, 2(1), 51–60. https://doi.org/10.1177/002200275800200106
Kotler, P., & Armstrong, G. (2012). Principles of Marketing. Prentice Hall.
Marlizar, et al. (2020). The Role of Market Orientation and Creativity in Affecting the Marketing Performance of Market Traders in Aceh Market Banda Aceh City. Budapest International Research and Critics Institute-Journal (BIRCI-Journal).P. 1114-1127
Martínez-Navarro, J., Bigné, E., Guixeres, J., Alcañiz, M., & Torrecilla, C. (2019). The influence of virtual reality in e-commerce. Journal of Business Research, 100(January), 475–482. https://doi.org/10.1016/j.jbusres.2018.10.054
Permana, G. P. L., & Dewi, L. P. K. (2019). Analisis Penerimaan Dan Penggunaan Aplikasi OVO Dengan Menggunakan Unified Theory of Acceptance and Use of Technology (UTAUT) Di Kota Denpasar. Jurnal Ilmiah Akuntansi Dan Bisnis, 4(2), 186–203. https://doi.org/10.38043/jiab.v4i2.2331
Pranoto, Y. (2019). APJII: Jumlah Pengguna Internet di Indonesia Tembus 171 Juta Jiwa. KOMPAS.Com.
Purwanto, T. A., & Nofiantoro, W. (2016). Tingkat Penerimaan Aplikasi Android E-Filing : Analisis Menggunakan Modifikasi Model UTAUT. Jurnal Multinetics, 2(2), 1–10. https://doi.org/10.32722/vol2.no2.2016.pp1-10
Purwianti, L., & Tio, K. (2017). Faktor-Faktor Yang Mempengaruhi Behavioural Intention. Jurnal Manajemen Maranatha, 17(1), 15. https://doi.org/10.28932/jmm.v17i1.415
Putri, L. F. S., & Mahendra, I. (2017). Analisa Faktor-Faktor Yang Mempengaruhi Penerimaan Dan Penggunaan Aplikasi Go-Jek Menggunakan Unified Theory of Acceptance and Use of Technology (UTAUT). Jurnal Pilar Nusa Mandiri, 13(1), 136–144.
Radcliffe, D. (2019). ECOMMERCE Introduction from Damian Radcliffe.
Ramdhani, N. (2011). Penyusunan Alat Pengukur Berbasis Theory of Planned Behavior. Buletin Psikologi, 19(2), 55–69. https://jurnal.ugm.ac.id/buletinpsikologi/article/view/11557
Romdonny, J., Rosmadi, M. L. N. (2019). Factors Affecting Customer Loyalty in Products. Budapest International Research and Critics Institute-Journal (BIRCI-Journal) Volume 2, No 1, Page: 337-343
Rukmiyati, N. M. S., & Budiartha, I. K. (2016). Pengaruh Kualitas Sistem, Kualitas Informasi Dan Perceived Usefulness Terhadap Kepuasan Pengguna Akhir Software Akuntansi (Studi Empiris pada Hotel Berbintang di Provinsi Bali). E-Journal Ekonomi Dan Bisnis Universitas Udayana, 115–142. https://doi.org/10.31154/kar.v1i2.475.1-11
Siahaan, M. D. L., & Prihandoko. (2019). Mengukur Tingkat Kepercayaan Sistem Zakat Online Menggunakan Technology Acceptance Model (TAM) Di Kalangan Masyarakat Kampus. Jurnal Teknik Dan Informatika, 6(1), 18–24.
Widagdo, B., & Rofik, M. (2019). Internet of Things as Engine of Economic Growth in Indonesia. Indonesian Journal Of Business And Economics, 2(1), 255–264. https://doi.org/10.25134/ijbe.v2i1.1625
DOI: https://doi.org/10.33258/birci.v5i4.7060
Article Metrics
Abstract view : 40 timesPDF - 21 times
Refbacks
- There are currently no refbacks.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

_.gif)
















_.gif)



