DOI: https://doi.org/10.21456/vol8iss2pp174-180

Analisis Penerimaan Teknologi E-retribusi Pasar dengan Pendekatan Theory of Reasoned Action

Maria Magdalena  -  Universitas Kristen Satya Wacana, Indonesia
*Eko Sediyono scopus  -  Universitas Kristen Satya Wacana, Indonesia
Marwata Marwata  -  Universitas Kristen Satya Wacana, Indonesia
Open Access Copyright (c) 2018 JSINBIS (Jurnal Sistem Informasi Bisnis)

Citation Format:
Abstract
The Trade Service The Salatiga City Government applies non-cash market retribution (market e-retribution) in improving the quality of services that are transparent and accountable in traditional markets. Given that there has been no research discussing the acceptance of market e-retribution technology, this issue can be an interesting topic to study. Theory of Reasoned Action (TRA) is used as a conceptual model in this study with the aim of investigating the factors that influence the acceptance of market e-retribution technology in traditional market traders in the city of Salatiga. The results of this study indicate that perceptions of usefulness, perception of self-efficacy and subjective norms have a positive effect, but are not statistically significant, while perceptions of compatibility and attitude have a positive and statistically significant effect
Fulltext View|Download
Keywords: E-retribution Market; TRA; Technology Acceptance; PLS

Article Metrics:

Article Info
Section: Research Articles
Language : EN
Recent articles
Implementasi Metode K-Means berbasis Chi-Square pada Sistem Pendukung Keputusan untuk Identifikasi Disparitas Kebutuhan Guru Pengukuran Penerimaan Sistem Informasi EWSKIA Berdasarkan Persepsi Pengguna dengan Menggunakan Technology Acceptance Model Metode Moment Invariant Geometrik untuk Menganalisis Jenis Daging Babi dan Daging Sapi More recent articles
Most cited articles
Data Clustering Menggunakan Metodologi CRISP-DM Untuk Pengenalan Pola Proporsi Pelaksanaan Tridharma Penerapan Model Promosi Berbasis Web Captive Portal Hotspot dengan Manajemen Terpusat Penerapan Metode AHP dan Fuzzy Topsis Untuk Sistem Pendukung Keputusan Promosi Jabatan Penggunaan Jaringan Syaraf Tiruan Backpropagation Untuk Seleksi Penerimaan Mahasiswa Baru Pada Jurusan Teknik Komputer Di Politeknik Negeri Sriwijaya Penerapan Metode Hill Climbing Pada Sistem Informasi Geografis Untuk Mencari Lintasan Terpendek More cited articles
  1. Al-Ajam, A.S., Md Nor, K., 2013. Predicting internet banking adoption determinants in yemen using extended theory of reasoned action. Research Journal of Applied Sciences 8 (5), 278–285
  2. Ali, M., Chin-Hong, P., Arif I., 2015. Determinants of e-banking adoption: A non-users perspective in Pakistan. MPRA Paper (Munich Personal RePEc Archive), Munich University Library, Germany
  3. Bandura, A., 2016. Self Efficacy for Agentic Positive Psychology. Encyclopedia of human behavior 4, 71–81. New York: Academic Press
  4. Davis, F. D., 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly 13(3), 319–340
  5. Fang, Wei-Ta, 2017. Normative Beliefs, Attitudes, and Social Norms: People Reduce Waste as an Index of Social Relationships When Spending Leisure Time. Sustainability 2017, 9, 1696;doi: 10.3390/su9101696diaksesdari:http://www.mdpi.com/journal/sustainability
  6. Farrell, L., Fry, T.R.L., Risse, L., 2016. The significance of financial self-efficacy in explaining women’s personal finance behavior. Journal of Economic Psychology 54, 85–99
  7. García-Machado, J., 2017. Assessing A Moderating Effect and The Global Fit of A PLS Model on Online Trading. Department of Financial Economics, Accounting and Operations Management University of Huelva, Spain
  8. Henseler, J., Hubona, G., Ash Ray, P., 2016. Using PLS path modeling in new technology research: updated guidelines. Industrial Management and Data Systems 116 (1), 2–20
  9. Laksana, G.B., Astutik, E.S., Dewantara R.Y., 2015. Pengaruh persepsi kemanfaatan, persepsi kemudahan penggunaan, persepsi resiko dan persepsi kesesuaian terhadap minat menggunakan mobile banking. Jurnal Administrasi Bisnis (JAB), Fakultas Ilmu Administrasi, Universitas Brawijaya 26 (2)
  10. La Morte, Wayne W. 2018. Diffusion of Innovation Theory. Behavioral Change Models. diakses dari: http://sphweb.bumc.bu.edu/otlt/MPH-Modules/SB/BehavioralChangeTheories/BehavioralChangeTheories4.html
  11. Latan, H., Ghozali, I., 2012. Partial Least Squares Konsep, Teknik dan Aplikasi SmartPLS 2.0. Semarang: Badan Penerbit Universitas Diponegoro
  12. Li, J., Liu, J.L., Ji, H.Y., 2014. Empirical study of influence factors of adaption intention of mobile payment based on TAM model in China. International Journal of u- and e- Service, Science and Technology 7(1), 119–132
  13. Lule, I., 2011. Application Technology Acceptance Model in Mobile Banking Adoption in Kenya. School of Computing and Informatics University of Nairobi, Kenya
  14. Nazir, Moh., 2013. Metode Penelitian. Jakarta: Balai Aksara
  15. Nor, K., Abu-Shanab, E., Pearson, J., 2008. Internet banking acceptance in Malaysia based on the theory of reasoned action. Journal of Information Systems and Technology Management 5(1)
  16. Olivia Khorrami-Arani, 2001. Researching computer self-efficacy. International Education Journal Vol 2, No 4, 2001. Educational Research Conference 2001 Special Issue. diakses dari: http://www.flinders.edu.au/education/iej
  17. Priambodo, S., Prabawani, B., 2016. Pengaruh persepsi manfaat, persepsi kemudahan penggunaan, dan persepsi resiko terhadap minat menggunakan layanan uang elektronik (studi kasus pada masyarakat di kota Semarang). Jurnal Ilmu Administrasi Bisnis, Fakultas Ilmu Sosial dan Ilmu Politik, Universitas Diponegoro 5(2), 127–135
  18. Ramayah, T., Yeap, Jasmine A.L., Ahmad, Noor H., Halim, Hasliza A., Rahman, Syed A., 2017. Testing a confirmatory model of facebook usage in smartpls using consistent PLS. International Journal of Business and Innovation 3(2), 01–14
  19. Schierz, P.G., Schilke, O., Wirtz, B., 2010. Understanding consumer acceptance of mobile payment services: an empirical analysis (june 5, 2009). Electronic Commerce Research and Applications 9(3), 209–216
  20. Sugiyono, 2010. Metode Penelitian Pendidikan Pendekatan Kuantitatif, kualitatif, dan R&D (cet. 11). Bandung: Alfabeta
  21. Tu, T.T., Chang, H. H., Chiu, Y.H., 2011. Investigation of the factors influencing the acceptance of electronic cash stored-value cards. African Journal of Business Management 5(1), 108–120

Last update:

No citation recorded.

Last update: 2024-11-17 23:57:49

No citation recorded.