EXTENDED TAM TEST ON INDONESIAN SMEs’ FINTECH USERS & ITS FINANCIAL REPORTS
Abstract
Indonesia have SME accounting standard that effective in 2018, but this standard adoption is not popular at that time. Hence recent fastest growing in financial technology adoption by food industries’ SME creating the need for having financial reports in order to make an exact reconciliation for the payment. This research wants to know whether this financial technology usage will lead to SME’s to make financial reports according to accounting standard. The model is designed to test the Extended Technology Acceptance Model (Extended-TAM). Population here is SME in food industry that on Grabfood list. 100 sample were drawn using purposive sampling for SME that uses OVO, a financial technology company that partnering with Grabfood. Data then analyzes using WarpPLS.This results is consistent with Extended TAM. The result also shows that adoption of FinTech will trigger SME to make better financial reports to make reconciliation process in billing easier.
References
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Davis, F. D., Bagozzi, R. P., and Warshaw, P. R. (1992). Extrinsic and Intrinsic Motivation to Use Computers in the Workplace. Journal of Applied Social Psychology, 22 (14), pp. 1111–1132.
Fred D. Davis, Richard P. Bagozzi and Paul R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, Vol. 35, No. 8 (Aug., 1989), pp. 982-1003.
Fishbein, M. and I. Ajzen (2011). Predicting and Changing Behavior: The Reasoned Action Approach. Psychology Press.
Gai, K., Qiu, M., Sun, X. (2017). A Survey on FinTech. Journal of Network and Computer Applications. https://doi.org/10.1016/j.jnca.2017.10.011
Ibidunni, A. S., Kehinde, O. J., Ibidunni, O. M., Olokundun, M. A., Plubusayo, F. H., Salau, O. P., Borishade, T. T., Fred, P. (2018). Data on the Relationships between Financing Strategies, Entrepreneurial Competencies and Business Growth of Technology-based SMEs in Nigeria. Data in Brief Vol. 18, pp. 988-991.
Moore, G. C. and Benbasat, I. (1991). Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation. Information Systems Research, 2: 3 , pp. 192–222.
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Patel K. J. and Patel, H. J. (2017). Adoption of Internet Banking Services in Gujarat: An Extension of TAM With Perceived Security and Social Influence. International Journal of Bank Marketing. https://doi.org/10.1108/IJBM-08-2016-0104
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Santoso, A. S., and Nelloh, L. A. M. (2017). User Satisfactionand Intention to Use Peer-to-Peer Online Transportation: A Replication Study. Procedia Computer Science, pp. 379-387.
Septiani, R., Handayani, P. W., and Azzahro, F. (2017). Factors that Affecting Behavioral Intention in Online Transportation Service: Case study of GO-JEK. Procedia Computer Science Vol. 124, pp. 504-512.
Silalahi, S. L. Br., Handayani, P. W., and Qorib, M. (2017). Service Quality Analysisi for Online Transportation Services: Case Study of Gojek. Procedia Computer Science Vol. 24, pp. 487-495.
Suhartanto, D., Dean, D., Sean, C., Suwatno, Chen, B.T., and Michael, T. (2020). An Examination of Satisfaction Towards Online Motorcycle Taxis at Different Usage Levels. Case Study on Transport Policy. https://doi.org/10.1016/j.cstp.2020.04.008
Supardianto, Ferdiana, R., and Sulistiyo, S. (2019). The Role of Information Technology Usage on Startup Financial Management and Taxation. Procedia Computer Science Vol. 161, pp. 1308-1315.
Susilo, A. Z., Prabowo, M. I., Taman, A., Pustikaningsih, A., and Samlawi, A. (2019). A Comparative Study of Factors Affecting User Acceptance of GO-PAY and OVO as Feature of Fintech Application. Procedia Computer Science Vol. 161, pp. 876-884.
Venkatesh, V. and Davis, F. D. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, Vol. 46, No. 2 (Feb., 2000), pp. 186-204.
Venkatesh, V. (2000). Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into The Technology Acceptance Model. Information Systems Research, Vol. 11, No. 4, December 2000, pp. 342–365.
Yen, Y. and Wu, F. (2016). Predicting the Adoption of Mobile Financial Services: The Impacts of Perceived Mobility and Personal Habit. Computer in Human Behavior Vol. 65, pp. 31-42.
Yuana, S. L., Sengers, F., Boon, W., and Raven, R. (2018). Framing The Sharing Economy A Media Analysis of Ridesharing Platforms in Indonesia and The Philippines, Journal of Cleaner Production, doi: 10.1016/j.jclepro.2018.12.073
Alalwan, A. A., Baabdullah, A., Rana, N.P., Tamilmani, K., Dwivedi, Y.K. (2018). Examining Adoption of Mobile Internet in Saudi Arabia: Extending TAM with Perceived Enjoyment, Innovativeness and Trust. Technology in Society (2018), doi: 10.1016/j.techsoc.2018.06.007.
Azmi, A., Sapiei, N. S., Mustapha, M. Z., and Abdullah, M. (2016). SMEs' Tax Compliance Costs and IT Adoption: The Case of a Value-Added Tax. International Journal of Accounting Information Systems Vol. 23, pp. 1-13.
Azudin, A. and Mansor, N. (2018). Management Accounting Practices of SMEs: The Impact of Organizational DNA, Business Potential and Operational Technology. Asia Pacific Management Review Vol. 23, pp. 222-226.
Cheng, Y. (2014). Exploringt Intention to Use Mobile Learning: the Moderating Role of Personal Innovativeness. Journal of Systems and Information Technology Vol. 16, Iss 1, pp. 40 – 61. http://dx.doi.org/10.1108/JSIT-05-2013-0012
Chi, T. (2018). Understanding Chinese Consumer Adoption of Apparel Mobile Commerce: An Extended TAM Approach. Journal of Retailing and Consumer Services Vol. 44, pp. 274-284.
Davis, F. D. (1986). A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and Results. Doctoral dissertation Sloan School of Management, Massachusetts Institute of Technology.
Davis, F. D., Bagozzi, R. P., and Warshaw, P. R. (1992). Extrinsic and Intrinsic Motivation to Use Computers in the Workplace. Journal of Applied Social Psychology, 22 (14), pp. 1111–1132.
Fred D. Davis, Richard P. Bagozzi and Paul R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, Vol. 35, No. 8 (Aug., 1989), pp. 982-1003.
Fishbein, M. and I. Ajzen (2011). Predicting and Changing Behavior: The Reasoned Action Approach. Psychology Press.
Gai, K., Qiu, M., Sun, X. (2017). A Survey on FinTech. Journal of Network and Computer Applications. https://doi.org/10.1016/j.jnca.2017.10.011
Ibidunni, A. S., Kehinde, O. J., Ibidunni, O. M., Olokundun, M. A., Plubusayo, F. H., Salau, O. P., Borishade, T. T., Fred, P. (2018). Data on the Relationships between Financing Strategies, Entrepreneurial Competencies and Business Growth of Technology-based SMEs in Nigeria. Data in Brief Vol. 18, pp. 988-991.
Moore, G. C. and Benbasat, I. (1991). Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation. Information Systems Research, 2: 3 , pp. 192–222.
Nasution, A. A., Erwin, K., and Bartuska, L. (2020). Determinant Study of Conventional Transportation and Online Transportation. Transportation Research Procedia Vol. 44, pp. 276-282.
Nelloh, L. A. M., Santoso, A. S., and Slamet, M. W. (2019). Will Users Keep Using Mobile Payment? It Depends on Trust and Cognitive Perspectives. Procedia Computer Science Vol. 161, pp. 1156-1164.
Patel K. J. and Patel, H. J. (2017). Adoption of Internet Banking Services in Gujarat: An Extension of TAM With Perceived Security and Social Influence. International Journal of Bank Marketing. https://doi.org/10.1108/IJBM-08-2016-0104
Perera, D. and Chand, P. (2015). Issues in the Adoption of International Financial Reporting Standards (IFRS) for Small and Medium-Sized Enterprises (SMES). Advances in Accounting, Incorporating Advances in International Accounting. https://doi.org/10.1016/j.adiac.2015.03.012
Ramadhanti, W., Kurniawan, Mukhrodin, Setiyawati, S. M. (2019). Antecedent & Consequence for Accounting Information Quality on Indonesian SMEs. Soedirman Accounting Review, Desember 2019, Vol. 04, No. 02, pp. 142-150.
Riahi, O. and Khoufi, W. (2019). Understanding IFRS Adoption: Consideration of The Institutional Dimension Through a Behavioral Context. Journal of Applied Accounting Research, Vol. 20 No. 4, pp. 543-570. https://doi.org/10.1108/JAAR-02-2017-0034
Riskinanto, A., Kelana, B., and Himawan, D. R. (2019). The Moderation Effect of Age on Adopting E-Payment Technology. Procedia Computer Science Vol. 124, pp. 536-543.
Santoso, A. S., and Nelloh, L. A. M. (2017). User Satisfactionand Intention to Use Peer-to-Peer Online Transportation: A Replication Study. Procedia Computer Science, pp. 379-387.
Septiani, R., Handayani, P. W., and Azzahro, F. (2017). Factors that Affecting Behavioral Intention in Online Transportation Service: Case study of GO-JEK. Procedia Computer Science Vol. 124, pp. 504-512.
Silalahi, S. L. Br., Handayani, P. W., and Qorib, M. (2017). Service Quality Analysisi for Online Transportation Services: Case Study of Gojek. Procedia Computer Science Vol. 24, pp. 487-495.
Suhartanto, D., Dean, D., Sean, C., Suwatno, Chen, B.T., and Michael, T. (2020). An Examination of Satisfaction Towards Online Motorcycle Taxis at Different Usage Levels. Case Study on Transport Policy. https://doi.org/10.1016/j.cstp.2020.04.008
Supardianto, Ferdiana, R., and Sulistiyo, S. (2019). The Role of Information Technology Usage on Startup Financial Management and Taxation. Procedia Computer Science Vol. 161, pp. 1308-1315.
Susilo, A. Z., Prabowo, M. I., Taman, A., Pustikaningsih, A., and Samlawi, A. (2019). A Comparative Study of Factors Affecting User Acceptance of GO-PAY and OVO as Feature of Fintech Application. Procedia Computer Science Vol. 161, pp. 876-884.
Venkatesh, V. and Davis, F. D. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, Vol. 46, No. 2 (Feb., 2000), pp. 186-204.
Venkatesh, V. (2000). Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into The Technology Acceptance Model. Information Systems Research, Vol. 11, No. 4, December 2000, pp. 342–365.
Yen, Y. and Wu, F. (2016). Predicting the Adoption of Mobile Financial Services: The Impacts of Perceived Mobility and Personal Habit. Computer in Human Behavior Vol. 65, pp. 31-42.
Yuana, S. L., Sengers, F., Boon, W., and Raven, R. (2018). Framing The Sharing Economy A Media Analysis of Ridesharing Platforms in Indonesia and The Philippines, Journal of Cleaner Production, doi: 10.1016/j.jclepro.2018.12.073
Published
2020-08-23
How to Cite
RAMADHANTI, Wita et al.
EXTENDED TAM TEST ON INDONESIAN SMEs’ FINTECH USERS & ITS FINANCIAL REPORTS.
SAR (Soedirman Accounting Review) : Journal of Accounting and Business, [S.l.], v. 5, n. 1, p. 83-98, aug. 2020.
ISSN 2598-0718.
Available at: <https://jos.unsoed.ac.id/index.php/sar/article/view/3193>. Date accessed: 10 may 2025.
doi: https://doi.org/10.20884/1.sar.2020.5.1.3193.
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Articles
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