Financial Management System (QRIS) based on UTAUT Model Approach in Jabodetabek

(1) * A Kadim Mail (Universitas Persada Indonesia YAI, Indonesia)
(2) Nardi Sunardi Mail (Universitas Pamulang, Indonesia)
*corresponding author

Abstract


The focus of this research is the use of e-money information technology by adapting the UTAUT model to determine the effect of performance expectations, business expectations, social influences and facilitation conditions to public interest in using Server Base Payment System: Quick Response Code Indonesian Standard (QRIS) in Jabodetabek. This study uses a quantitative descriptive method. The population of this study was Jakarta, Bogor, Depok, Tangerang, Bekasi (Jabodetabek) citizen and the sample of fespondent are 125 by using targeted sampling method. Data analysis by lisrel. The results of this study informed that behavioral intersest was not affect with positive and significant by performance expectations and social influence but was affect with positive and signifianct by effort expectation. Jabodetabek citizens usage behavior in QRIS payment tools was affect with positive and significant by facilities conditions and behavioral interest.


   

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https://doi.org/10.29099/ijair.v6i1.282
      

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References


V. Venkatesh, M. G. Morris, G. B. Davis, and F. D. Davis, “User acceptance of information technology: Toward a unified view,” MIS Q. Manag. Inf. Syst., vol. 27, no. 3, pp. 425–478, 2003, doi: 10.2307/30036540.

J. Hou, J. F. Lee, and S. Doherty, “A study of the effects of mobile media on L2 text processing: Beyond offline comprehension accuracy measures,” Comput. Educ., vol. 182, Jun. 2022, doi: 10.1016/j.compedu.2022.104466.

Y. M. Huang, L. M. Silitonga, and T. T. Wu, “Applying a business simulation game in a flipped classroom to enhance engagement, learning achievement, and higher-order thinking skills,” Comput. Educ., vol. 183, Jul. 2022, doi: 10.1016/j.compedu.2022.104494.

M. D. Williams, N. P. Rana, and Y. K. Dwivedi, “The unified theory of acceptance and use of technology (UTAUT): A literature review,” J. Enterp. Inf. Manag., vol. 28, no. 3, pp. 443–448, Apr. 2015, doi: 10.1108/JEIM-09-2014-0088.

Y. Y. Wang, A. Luse, A. M. Townsend, and B. E. Mennecke, “Understanding the moderating roles of types of recommender systems and products on customer behavioral intention to use recommender systems,” Inf. Syst. E-bus. Manag., vol. 13, no. 4, pp. 769–799, Nov. 2015, doi: 10.1007/S10257-014-0269-9.

J. W. Yoon, J. E. Andrews, and H. L. Ward, “Perceptions on adopting artificial intelligence and related technologies in libraries: public and academic librarians in North America,” Libr. Hi Tech, 2021, doi: 10.1108/LHT-07-2021-0229.

J. Y. L. Thong, S. J. Hong, and K. Y. Tam, “The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance,” Int. J. Hum. Comput. Stud., vol. 64, no. 9, pp. 799–810, Sep. 2006, doi: 10.1016/j.ijhcs.2006.05.001.

J. E. Andrews, H. Ward, and J. W. Yoon, “UTAUT as a Model for Understanding Intention to Adopt AI and Related Technologies among Librarians,” J. Acad. Librariansh., vol. 47, no. 6, p. 102437, Dec. 2021, doi: 10.1016/J.ACALIB.2021.102437.

P. Tarka, “An overview of structural equation modeling: its beginnings, historical development, usefulness and controversies in the social sciences,” Qual. Quant., vol. 52, no. 1, pp. 313–354, Jan. 2018, doi: 10.1007/S11135-017-0469-8.

G. Siemens and R. S. J. D. Baker, “Learning analytics and educational data mining: Towards communication and collaboration,” ACM Int. Conf. Proceeding Ser., pp. 252–254, 2012, doi: 10.1145/2330601.2330661.

R. D. Aviyanti, E. Saraswati, and A. Prastiwi, “ANALYSIS OF ACCEPTANCE OF ACCOUNTING INFORMATION SYSTEM IMPLEMENTATION BASED ON ELECTRONIC PAYMENT USING THE UTAUT MODEL,” Int. J. Account. Bus. Soc., vol. 29, no. 2, pp. 119–149, Sep. 2021, doi: 10.21776/UB.IJABS.2021.29.2.8.

S. Chauhan and M. Jaiswal, “Determinants of acceptance of ERP software training in business schools: Empirical investigation using UTAUT model,” Int. J. Manag. Educ., vol. 14, no. 3, pp. 248–262, Nov. 2016, doi: 10.1016/J.IJME.2016.05.005.

C.-H. Liu, Y.-T. Chen, S. Kittikowit, T. Hongsuchon, and Y.-J. Chen, “Using Unified Theory of Acceptance and Use of Technology to Evaluate the Impact of a Mobile Payment App on the Shopping Intention and Usage Behavior of Middle-Aged Customers,” Front. Psychol., vol. 13, Mar. 2022, doi: 10.3389/FPSYG.2022.830842.

K. T. Ihejirika, A. Goulding, and P. J. Calvert, “Do they ‘like’ the library? Undergraduate students’ awareness, attitudes, and inclination to engage with library social media,” J. Acad. Librariansh., vol. 47, no. 6, Dec. 2021, doi: 10.1016/j.acalib.2021.102451.

M. Ashraf, J. Ahmad, A. A. Hamyon, M. R. Sheikh, and W. Sharif, “Effects of post-adoption beliefs on customers’ online product recommendation continuous usage: An extended expectation-confirmation model,” Cogent Bus. Manag., vol. 7, no. 1, Jan. 2020, doi: 10.1080/23311975.2020.1735693.




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