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Abstract
Perkembangan teknologi di era digitalisasi memiliki pengaruh besar terhadap keberlangsungan bisnis perusahaan. Perusahaan mulai berlomba-lomba memasuki dunia bisnis digital untuk dapat terus eksis dan bersaing di era digitalisasi. Dunia industri mengalami disruptive era dengan kehadiran teknologi, khususnya industri perbankan multifinance yang mayoritas menjalankan proses bisnis secara konvensional. Penelitian ini menggunakan teknik meta analisis kualitatif dengan pendekatan model technology readiness and acceptance model (TRAM) yang bertujuan untuk mengeksplorasi dan mengevaluasi secara mendalam terkait niat penggunaan teknologi terhadap pengguna. Narasumber penelitian merupakan marketing dan agen pengguna teknologi. Hasil dari penelitian ini menunjukkan bahwa kesiapan teknologi memiliki pengaruh positif terhadap niat penggunaan teknologi secara nyata. Faktor pendorong dari teknologi yaitu optimism dan innovativeness memiliki pengaruh positif terhadap manfaat penggunaan teknologi, innovativeness juga memiliki pengaruh positif terhadap persepsi kemudahan hanya saja optimism tidak begitu mempengaruhi persepsi kemudahan penggunaan teknologi. Sedangkan faktor penghambat dari kesiapan teknologi yaitu discomfort dan insecurity masing-masing memiliki pengaruh positif terhadap persepsi kemudahan dan manfaat penggunaan teknologi. Faktor eksternal lainnya dari model penerimaan teknologi diantaranya technology self efficacy, perceived of external control, technology anxiety, perceived enjoyment masing-masing memiliki pengaruh positif terhadap persepsi kemudahan penggunaan teknologi. Hal ini yang mempengaruhi niat adopsi penggunaan teknologi secara aktual.
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References
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- Ghozali, I., 2015. Aplikasi Analisis Multivariate dengan Program IBM SPSS 23. Semarang: Badan Penerbit Universitas Diponegoro.
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- Putri, A. R., 2020. Analisis faktor penerimaan KMS dengan pendekatan TRAM ( Studi Kasus PT BNI Persero), Surabaya: Institut Teknologi Sepuluh Nopember.
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- Sugiyono, 2011. Metode Penelitian : Kualitatif, Kuantitatif dan R & D. 14 penyunt. Bandung: Alfabeta.
- Venkatesh, V. & Bala, H., 2008. Technology Acceptance Model 3 and a Research Agenda on Interventions. Journal compilation Decision Sciences, 39(2), pp. 273-315.
- Venkatesh, V. & Davis, F. D., 2000. A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2), pp. 186-204.
- Venkatesh, V., Morris, M. G., Davis, G. B. & Davis, F. D., 2003. User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), pp. 425-478.
- Venkatesh, V., Speier, C. & Moms, M. G., 2002. User Acceptance Enablers in Individual Decision Making About Technology: Toward an Integrated Model. Decision Sciences , 33(2), pp. 297-316.
- Wibowo, K. A., 2020. ANALISIS PERILAKU PENERIMAAN TEKNOLOGI PARA PENGELOLA BMT ANGGOTA PERHIMPUNAN BMT INDONESIA, YOGYAKARTA: UNIVERSITAS ISLAM INDONESIA.
References
Adji, H. I., 2022. Kajian Tingkat Komersialisasi dan Adopsi Teknologi Aplikasi XYZ dengan Konsep TRL, CRL, TRI2 dan TAM2, Surabaya: Institut Teknologi Sepuluh Nopember .
Affan, M. W. & Ustman, 2022. ANALISIS PENGGUNAAN FINTECH : PERSPEKTIF TECHNOLOGY ACCEPTANCE MODEL. JURNAL RISET AKUNTANSI DAN KEUANGAN, 1(10), pp. 31-40.
Afsay, A., Tahriri, A. & Rezaee, Z., 2023. A meta-analysis of factors affecting acceptance of information technology in auditing. International Journal of Accounting Information Systems, Volume 49, pp. 1-27.
Algunto, A. D. K., Jaryono & Dariono, 2016. TEKNOLOGI ANALISIS PENERIMAAN E-GOVERNMENT PADA ADOPSI KTP ELEKTRONIK (E-KTP). Kinerja, 22(2), pp. 77-92.
Chiu, W., 2020. The role of technology readiness in individuals intention to use health and fitness applications: a comparison between users and non-users. Journal of Marketing and Logistics Emerald, pp. 1-19.
Cruz-Cárdenas, J., Guadalupe-Lanas, J., Ramos-Galarza, C. & Palacio-Fierro, A., 2021. Drivers of technology readiness and motivations for consumption in explaining the tendency of consumers to use technology-based services. Journal of Business Research, Volume 122, pp. 217-225.
Davis, F. D., Bagozzi, R. P. & Warshaw, P. R., 1989. User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8), pp. 982-1003.
Destiya, J., 2019. PELUANG DAN TANTANGAN FINANCIAL TECHNOLOGY (FINTECH) BAGI PERBANKAN SYARIAH DI INDONESIA (Studi Kasus PT. Bank Syariah Mandiri), JAKARTA: UNIVERSITAS MUHAMMADIYAH JAKARTA.
Fahmi, M. A., 2021. ANALISIS PENERIMAAN IMPLEMENTASI ERP DI PERUM BULOG DENGAN PENDEKATAN EXTENDED TAM 3 (EXTENDED TECHNOLOGY ACCEPTANCE MODEL 3), Surabaya: Institut Teknologi Sepuluh Nopember.
Fahmi, M. A., Kostini, N. & Putra, W. B. T. S., 2022. Exploring hybrid learning readiness and acceptance model using the extended TAM 3 and TPB approach: An empirical analysis. INTERNATIONAL JOURNAL OF RESEARCH IN BUSINESS AND SOCIAL SCIENCE, 11(8), pp. 321-334.
Finance, M. U., 2023. PERUSAHAAN MULTIFINANCE : PENGERTIAN DAN JENIS-JENISNYA.[Online] Available at: MUF.co.id [Accessed 12 06 2023]
Florestiyanto, M. Y., 2012. EVALUASI KESIAPAN PENGGUNA DALAM ADOPSI SISTEM INFORMASI TERINTEGRASI DI BIDANG KEUANGAN MENGGUNAKAN METODE TECHNOLOGY READINESS INDEX. Yogyakarta, UPN Veteran Yogyakarta.
Ghozali, I., 2015. Aplikasi Analisis Multivariate dengan Program IBM SPSS 23. Semarang: Badan Penerbit Universitas Diponegoro.
Lin, C.-H., Shih, H.-Y., Sher, P. J. & Wang, Y.-L., 2007. Consumer Adoption of e- Service: Integrating Technology Readiness with the Technology Acceptance Model. Wiley InterScience, 24(7), pp. 641-657.
Mei-Fang Chen, N.-P. L., 2018. "Incorporation of health consciousness into the technology readiness and acceptance model to predict app download and usage intentions. Emerald Insight, Volume 24, pp. 641-657.
Parasuraman, A., 2000. Technology Readiness Index (TRI) A Multiple-Item Scale to Measure Readiness to Embrace New Technologies. Journal of Service Research, 2(4), pp. 307-320.
Parasuraman, A. C. L. C., 2014. An Updated and Streamlined Technology Readiness Index: TRI 2.0. Journal of Service Research, pp. 1-16.
Putri, A. R., 2020. Analisis faktor penerimaan KMS dengan pendekatan TRAM ( Studi Kasus PT BNI Persero), Surabaya: Institut Teknologi Sepuluh Nopember.
Rosalina, 2017. Pengukuran Kesiapan Sistem Informasi Menggunakan End-User Computing Satisfaction Studi Kasus : Sistem Informasi Akademik UIN Syarif Hidayatullah Jakarta, Jakarta: UIN Syarif Hidayatullah.
Seong, B.-H. & Hong, C.-Y., 2022. Corroborating the effect of positive technology readiness on the intention to use the virtual reality sports game Screen Golf: Focusing on the technology readiness and acceptance model. ELSEVIER Information Processing and Management, Volume 59, pp. 1-11.
Sholihah, S. M., A. S., Ratnawati, S. & Azizah, M. N., 2022. Qualitative Evaluation of User Acceptance Readiness to the Implementation of the Health Center Management Information System (SIMPUS) at the South Tangerang City Health Center. Applied Information System and Management (AISM), 5(1), pp. 1-6.
Subchiawan, M. & Rahmawati, D., 2023. META-ANALISIS PENELITIAN TECHNOLOGY READINESS DI INDONESIA. Universitas Negeri Yogyakarta, pp. 1-23.
Sugiyono, 2011. Metode Penelitian : Kualitatif, Kuantitatif dan R & D. 14 penyunt. Bandung: Alfabeta.
Venkatesh, V. & Bala, H., 2008. Technology Acceptance Model 3 and a Research Agenda on Interventions. Journal compilation Decision Sciences, 39(2), pp. 273-315.
Venkatesh, V. & Davis, F. D., 2000. A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2), pp. 186-204.
Venkatesh, V., Morris, M. G., Davis, G. B. & Davis, F. D., 2003. User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), pp. 425-478.
Venkatesh, V., Speier, C. & Moms, M. G., 2002. User Acceptance Enablers in Individual Decision Making About Technology: Toward an Integrated Model. Decision Sciences , 33(2), pp. 297-316.
Wibowo, K. A., 2020. ANALISIS PERILAKU PENERIMAAN TEKNOLOGI PARA PENGELOLA BMT ANGGOTA PERHIMPUNAN BMT INDONESIA, YOGYAKARTA: UNIVERSITAS ISLAM INDONESIA.