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Exploring Risk and Benefit Factors Affecting User Adoption Intention of Fintech in Indonesia

Published: 25 August 2020 Publication History

Abstract

The presence of Fintech as an innovative and disruptive financial service can improve the efficiency and scope of financial services through the application of technology. Fintech is considered to have various benefits. However, based on survey conducted by DailySocial and Otoritas Jasa Keuangan finds that the Fintech adoption rate in Indonesia is still relatively low at around 58.1%, this is in line with a penetration level of Fintech in Asia which Indonesia usage level still in 5% compared to China, Hong Kong, and India. In determining Fintech adoption, users tend to do rational calculations by comparing the perceived benefits and risks and will decide to adopt them when the perceived benefits are greater than the risks received. According to some studies, trust can be mediated to reduce some level of risk, thus this study will also include trust variables in the risk-benefit framework to determine user adoption intention on Fintech services in Indonesia. Based on data collected from 100 Fintech users, this study initially investigated whether perceived benefits and risks significantly impacted Fintech adoption intention. Partial Least Square (PLS-SEM) method is used to estimate the relationship between constructs. As a resulting trust, economic benefit and convenience are proven to significantly influence the user to adopt Fintech. While privacy awareness, financial risk, and legal risk are significantly affected by user trust. The hypothesis testing indicates that security risk has the biggest negative effect and convenience has the biggest positive effect on Fintech adoption intention.

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  • (2024)A Literature Review on the Development of Fintech in Southeast AsiaExploring Global FinTech Advancement and Applications10.4018/979-8-3693-1561-3.ch003(42-108)Online publication date: 7-Feb-2024
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cover image ACM Other conferences
APCORISE '20: Proceedings of the 3rd Asia Pacific Conference on Research in Industrial and Systems Engineering
June 2020
410 pages
ISBN:9781450376006
DOI:10.1145/3400934
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Publication History

Published: 25 August 2020

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Author Tags

  1. Adoption Intention
  2. Fintech
  3. PLS-SEM
  4. Risk-Benefit Framework
  5. Structural Equation Modeling (SEM)

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  • Research-article
  • Research
  • Refereed limited

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APCORISE 2020

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APCORISE '20 Paper Acceptance Rate 68 of 110 submissions, 62%;
Overall Acceptance Rate 68 of 110 submissions, 62%

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Cited By

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  • (2024)A Literature Review on the Development of Fintech in Southeast AsiaExploring Global FinTech Advancement and Applications10.4018/979-8-3693-1561-3.ch003(42-108)Online publication date: 7-Feb-2024
  • (2024)BARRIERS IN ADOPTION OF FINTECH BY STREET VENDORS AND HAWKERS IN INDIA USING INTERPRETIVE STRUCTURAL MODELINGBusiness: Theory and Practice10.3846/btp.2024.1920825:1(231-240)Online publication date: 4-Jan-2024
  • (2024)Impact of AI Anxiety on Educators Attitudes Towards AI Integration2024 3rd International Conference on Creative Communication and Innovative Technology (ICCIT)10.1109/ICCIT62134.2024.10701130(1-7)Online publication date: 7-Aug-2024
  • (2024)Adoption of financial technology services for financial inclusionMATEC Web of Conferences10.1051/matecconf/202439201048392(01048)Online publication date: 18-Mar-2024
  • (2024)Developing a financial technology (FinTech) adoption scale: A validity and reliability studyResearch in International Business and Finance10.1016/j.ribaf.2024.10234470(102344)Online publication date: Jun-2024
  • (2024)Determinants of fintech adoption in agrarian economy: Study of UTAUT extension model in reference to developing economiesJournal of Open Innovation: Technology, Market, and Complexity10.1016/j.joitmc.2024.10027310:2(100273)Online publication date: Jun-2024
  • (2023)A moderated mediation analysis on fintech adoption, social influence, competitiveness and financial performance of commercial banks in PakistanBanks and Bank Systems10.21511/bbs.18(4).2023.1918:4(226-240)Online publication date: 30-Nov-2023
  • (2023)Quest for financial inclusion via digital financial services (Fintech) during COVID-19 pandemic: case study of women in IndonesiaJournal of Financial Services Marketing10.1057/s41264-023-00217-929:2(459-473)Online publication date: 13-Mar-2023
  • (2022)Linking Fintech Payment Services and Customer Loyalty Intention in the Hospitality Industry: The Mediating Role of Customer Experience and AttitudeSustainability10.3390/su14241648114:24(16481)Online publication date: 9-Dec-2022
  • (2022)The Roles of Personality Traits, AI Anxiety, and Demographic Factors in Attitudes toward Artificial IntelligenceInternational Journal of Human–Computer Interaction10.1080/10447318.2022.215173040:2(497-514)Online publication date: 7-Dec-2022

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