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GENESIS SEMBIRING DEPARI
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INDONESIA
Indonesian Journal of Business Analytics (IJBA)
Published by PT FORMOSA CENDEKIA GLOBAL
ISSN : -     EISSN : 28080718     DOI : https://doi.org/10.55927/ijba.v2i1
Core Subject : Economy, Science,
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance
Indonesian Journal of Business Analytics (IJBA) is a peer-reviewed journal providing a space for both practitioners and academics for disseminating research results that work in Business Analytics and related fields. IJBA provides an outlet for the increasing flow of interdisciplinary research cutting across business, business data mining, predictive analytics, descriptive analytics, prescriptive analytics, Quantitative business method, management, finance, information system, accounting, Entrepreneurship, Business ethics, Sustainability, Knowledge Management, Learning Organization and economics disciplines. It is an essential reading for academics, graduate students, policy makers and business practitioners. IJBA publishes articles twice in a year on April and October.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 1 Documents
 1 
Search results for , issue "Vol. 6 No. 1 (2026): February 2026" : 1 Documents clear
Adoption of Seabank by Generation Z in Semarang City: An Extended Technology Acceptance Model (TAM) Approach Afiat Sadida; Rani Raharjanti; Nurul Azmi
Indonesian Journal of Business Analytics Vol. 6 No. 1 (2026): February 2026
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ijba.v6i1.16186

Abstract

The adoption of digital banking among Generation Z has become a strategic concern for financial institutions in Indonesia. This study aims to analyze the adoption of SeaBank by Generation Z in Semarang City by extending the Technology Acceptance Model (TAM) with the addition of perceived trust and subjective norm. The goal is to examine how perceived usefulness, perceived ease of use, perceived trust, and subjective norm impact attitudes toward using, and how these attitudes impact the intention to adopt SeaBank.  Data were collected through an online questionnaire completed by 309 Generation Z respondents in Semarang City. The analysis was conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM) to test the proposed relationships among the variables. The results show that perceived usefulness, perceived trust, and subjective norm have a significant impact on attitude toward using SeaBank. Perceived ease of use, however, does not have a statistically significant effect. Attitude toward using is found to significantly impact the intention to adopt seabank. This research contributes by adapting the Technology Acceptance Model in a digital banking context to Generation Z, who are highly familiar with technology and influenced by peer networks. The integration of trust and subjective norm provides additional explanatory power. The findings provide practical insights for digital banking providers to design strategies that enhance user trust, capitalize on social influence, and meet the expectations of younger users.

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