Development and Validation of Instruments Adoption FinTech services in Indonesia (Perspective of Trust and Risk)

This study explores the influence of trust and risk in the use of FinTech in Indonesian society. This exploration is based on findings from previous studies that suggest that trust and risk are important aspects in considering the use of FinTech. The focus of this research is to develop and validate the research instruments that will be used next. The basic theory of model development uses the theory of Technology Acceptance Model (TAM) developed by Davis. The models and instruments developed will be through pilot studies involving 133 communities as respondents. This Study is quantitative research and data obtained were analyzed using smart pls v3.0. This analysis is conducted to ensure the level of reliability and validity of the instrument. The results of this analysis find 31 instruments that are stated reliable and validity. So it can be used for collecting data from a survey in accordance with the research.

[1]  Marko Sarstedt,et al.  Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research , 2014 .

[2]  Surjandy,et al.  User Behavior Adopt Utilizing Fin Tech Services on Online Transportation in Indonesia (Scale Validation and Developed Instrument) , 2018, 2018 International Conference on Information Management and Technology (ICIMTech).

[3]  C. Baden‐Fuller,et al.  Business Models and Technological Innovation , 2013 .

[4]  Fred D. Davis.  A technology acceptance model for empirically testing new end-user information systems : theory and results , 1985 .

[5]  Wynne W. Chin.  The partial least squares approach for structural equation modeling. , 1998 .

[6]  D. Gefen,et al.  E-commerce: the role of familiarity and trust , 2000 .

[7]  Ken Kwong-Kay Wong,et al.  Partial Least Squares Structural Equation Modeling (PLS-SEM) Techniques Using SmartPLS , 2013 .

[8]  Ahmed A. El-Masry,et al.  Why Do Consumers Trust Online Travel Websites? Drivers and Outcomes of Consumer Trust toward Online Travel Websites , 2017 .

[9]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[10]  Soo Dong Kim,et al.  A Payment Mediation Platform for heterogeneous FinTech schemes , 2016, 2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC).

[11]  Ankit Kesharwani,et al.  The impact of trust and perceived risk on internet banking adoption in India : An extension of technology acceptance model , 2022 .

[12]  Fred D. Davis.  Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[13]  Yujong Hwang,et al.  Trust in mobile banking under conditions of information asymmetry , 2016 .

[14]  A. Teja.  Indonesian Fintech Business: New Innovations or Foster and Collaborate in Business Ecosystems? , 2017 .

[15]  A. Micu,et al.  FINANCIAL TECHNOLOGY (FINTECH) AND ITS IMPLEMENTATION ON THE ROMANIAN NON-BANKING CAPITAL MARKET , 2016 .

[16]  Kyung Kyu Kim,et al.  Initial trust, perceived risk, and the adoption of internet banking , 2000, ICIS.

[17]  Vladlena Benson,et al.  Risk, trust, and the interaction of perceived ease of use and behavioral control in predicting consumers' use of social media for transactions , 2018, Comput. Hum. Behav..

[18]  Thanh D. Nguyen,et al.  The Roles of Perceived Risk and Trust on E-Payment Adoption , 2018, ECONVN.

[19]  Ming-Chi Lee,et al.  Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit , 2009, Electron. Commer. Res. Appl..

[20]  Bernardo Nicoletti,et al.  The Future of FinTech , 2017 .

[21]  Lihua Huang,et al.  Exploring User Acceptance of Innovative Mobile Payment Service in Emerging Market: the Moderating effect of diffusion stages of WeChat Payment in China , 2016, PACIS.

[22]  A. Zarei,et al.  Impact of Perceived Security on Trust, Perceived Risk, and Acceptance of Online Banking in Iran , 2016 .

[23]  Hyun-Sun Ryu,et al.  Understanding Benefit and Risk Framework of Fintech Adoption: Comparison of Early Adopters and Late Adopters , 2018, HICSS.

[24]  J. Barberis,et al.  The FINTECH Book: The Financial Technology Handbook for Investors, Entrepreneurs and Visionaries , 2016 .

[25]  J. Yeon,et al.  The Adoption of Mobile Payment Services for "Fintech" , 2016 .

[26]  Liu Liu,et al.  Exploring consumer perceived risk and trust for online payments: An empirical study in China's younger generation , 2015, Comput. Hum. Behav..

[27]  C J Lockett,et al.  Influence of ethyl alcohol when given alone or in combination with potassium and/or magnesium supplements on ventricular fibrillation threshold levels in laboratory rats. , 1992, Magnesium research.

[28]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .