Determinants Of the Use of Agency Level Finalcial Application Systems (Sakti): Development of The Umega Model
DOI:
https://doi.org/10.21776/ijabs.2022.30.3.685Keywords:
Accounting, System, SAKTI, UMEGA, Use of SAKTIAbstract
Purpose — This study examines and analyzes the effect of performance expectancy, effort expectancy, social influence, perceived risk, information quality, system quality, attitude, intention to use, and use of SAKTI.
Design/methodology/approach—Data was obtained through online questionnaires filled out by 149 users at the operator level of SAKTI. The analysis method used is Structural Equation Modeling (SEM) with a Partial Least Squares (PLS) test tool.
Findings — Empirical evidence shows that performance expectancy, social influence, perceived risk, information quality, system quality, attitude, intention to use, and use of SAKTI affect attitude toward using SAKTI. Intention to use the application affects the use of SAKTI.
Practical implications—The SAKTI application will be accepted and used if it increases employee performance, is easy to use, the environment affects usage, is secure, generates information that is simple for users to comprehend and has a good network infrastructure. Application providers can use this research to determine SAKTI usage behaviour.
Originality/value—This study develops the UMEGA model to determine the acceptance of the SAKTI application based on attitudes, interests, and usage.
Keywords — Accounting; System; SAKTI; UMEGA; and Use of SAKTI
Paper type — Case study
References
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749- 5978(91)90020-T
Alkhatib, H. (2013). E-Government Systems Success and User Acceptance in Developing Countries: The Role of Perceived Support Quality.
Almasri, A. (2016). Proposed M-learning Model based on Two Models (Technology Acceptance Model and DeLone and McLean IS success Model). International Journal of Computer Applications, 142, 975–8887.
Bobbitt, L., & Dabholkar, P. (2001). Integrating Attitudinal Theories to Understand and Predict Use of Technology-Based Self-Service—the Internet as an Illustration. International Journal of Service Industry Management, 12, 423–450. https://doi.org/10.1108/EUM0000000006092
Cases, A. S. (2002). Perceived risk and risk-reduction strategies in Internet shopping. International Review of Retail, Distribution and Consumer Research, 12(4), 375– 394. https://doi.org/10.1080/09593960210151162
Chen, J. v, Rungruengsamrit, D., Rajkumar, T. M., & Yen, D. C. (2013). Success of electronic commerce Web sites: A comparative study in two countries. Information & Management, 50(6), 344–355. https://doi.org/https://doi.org/10.1016/j.im.2013.02.007
Colesca, S. (2009). Understanding Trust in e-Government. Engineering Economics, 3.
Compeau, D., Higgins, C., & Huff, S. (1999). Social Cognitive Theory and Individual Reactions to Computing Technology: A Longitudinal Study. MIS Quarterly, 23, 145–158. https://doi.org/10.2307/249749
Compeau, D. R., & Higgins, C. A. (1995). Application of Social Cognitive Theory to Training for Computer Skills. Information Systems Research, 6(2), 118–143. http://www.jstor.org/stable/23011006
Davis, F., & Davis, F. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13, 319. https://doi.org/10.2307/249008
DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60–95. https://doi.org/10.1287/isre.3.1.60
Djuitaningsih, T., & Arifiyantoro, D. (2020). INDIVIDUAL AND ORGANIZATIONAL IMPACTS: INFORMATION AND SYSTEM QUALITY INFLUENCE ON ATTITUDE TOWARDS USE AND USER SATISFACTION OF AGENCY-LEVEL FINANCIAL
APPLICATION SYSTEM. Acta Informatica Malaysia, 4, 10–18. https://doi.org/10.26480/aim.01.2020.10.18
Dwivedi, Y., Rana, N., Janssen, M., Lal, B., Williams, M., & Clement, M. (2017). An empirical validation of a unified model of electronic government adoption (UMEGA). Government Information Quarterly, 34.
https://doi.org/10.1016/j.giq.2017.03.001
Fatmawati, E. (2015). Technology Acceptance Model (TAM) untuk Menganalisis Penerimaan terhadap Sistem Informasi di PerpustakaanM INFORMASI PERPUSTAKAAN. Iqra: Jurnal Perpustakaan Dan Informasi, 9(1).
Febrianti, D., Hariadi, B., & Baridwan, Z. (2019). TECHNOLOGY ACCEPTANCE MODEL AS A PREDICTOR OF SIMDA USAGE. Jurnal Reviu Akuntansi Dan Keuangan, 9, 46. https://doi.org/10.22219/jrak.v9i1.7175
Fishbein, M., & Ajzen, I. (1975a). Belief, attitude, intention and behaviour: An introduction to theory and research (Vol. 27).
Fishbein, M., & Ajzen, I. (1975b). Belief, attitude, intention and behaviour: An introduction to theory and research (Vol. 27).
Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and tam in online shopping: AN integrated model. MIS Quarterly: Management Information Systems, 27(1), 51–90. https://doi.org/10.2307/30036519
Gewald, H., & Dibbern, J. (2009). Risks and benefits of business process outsourcing: A study of transaction services in the German banking industry. Information and Management, 46(4), 249–257. https://doi.org/10.1016/J.IM.2009.03.002
Hsu, M. H., & Chiu, C. M. (2004). Predicting electronic service continuance with a decomposed theory of planned behaviour. In Behaviour and Information Technology (Vol. 23, Issue 5, pp. 359–373). https://doi.org/10.1080/01449290410001669969
Hsu, M.-H., & Chiu, C.-M. (2004). Internet Self-Efficacy and Electronic Service Acceptance. Decision Support Systems, 38, 369–381. https://doi.org/10.1016/j.dss.2003.08.001
Hurlock, E. B. (1980). Psikologi perkembangan: suatu pendekatan sepanjang Rentang Kehidupan /Elizabeth B. Hurlock. Erlangga.
Iivari, J. (2005). An Empirical Test of the DeLone-McLean Model of Information System Success. ACM SIGMIS Database, 36, 8–27. https://doi.org/10.1145/1066149.1066152
Im, I., Kim, Y., & Han, H. J. (2008). The effects of perceived risk and technology type on users’ acceptance of technologies. Information and Management, 45(1), 1– 9. https://doi.org/10.1016/j.im.2007.03.005
Joo, J., & Sang, Y. (2013). Exploring Koreans’ smartphone usage: An integrated model of the technology acceptance model and uses and gratifications theory. Computers in Human Behavior, 29(6), 2512–2518. https://doi.org/10.1016/j.chb.2013.06.002
Kirat Rai, S., Ramamritham, K., & Jana, A. (2020). Identifying factors affecting the acceptance of government to government system in developing nations – empirical evidence from Nepal. Transforming Government: People, Process and Policy, ahead-of-print. https://doi.org/10.1108/TG-05-2019-0035
Koh, J. H. L., Chai, C. S., & Tsai, C. C. (2010). Examining the technological pedagogical content knowledge of Singapore pre-service teachers with a large-scale survey. Journal of Computer Assisted Learning, 26(6), 563–573. https://doi.org/10.1111/j.1365-2729.2010.00372.x
Mensah, I., Zeng, G., & Luo, C. (2020). E-Government Services Adoption: An Extension of the Unified Model of Electronic Government Adoption. SAGE Open, 10, 215824402093359. https://doi.org/10.1177/2158244020933593
Moon, J.-W., & Kim, Y.-G. (2001). Extending the TAM for a World-Wide-Web context.
Information & Management, 38, 217–230. https://doi.org/10.1016/S0378-
(00)00061-6
Mustakini, J. H. (2007). Sistem Informasi Keperilakuan. Yogyakarta : CV. Andi.
Naheb, O. (2017). THE INFLUENCE OF CRITICAL FACTORS ON THE BEHAVIOR INTENTION TO COMPUTERIZED ACCOUNTING SYSTEMS (CAS) IN CEMENT
MANUFACTURES IN LIBYA. The International Journal of Accounting and Business Society, 25, 86–108. https://doi.org/10.21776/ub.ijabs.2017.25.1.7
Nurkholis, N., & Anggraini, R. (2020). Determinants of E-Government Implementation Based on Technology Acceptance Model. Jurnal Dinamika Manajemen, 11, 184– 197. https://doi.org/10.15294/jdm.v11i2.23853
Phang, G., & Ming, T. (2018). Antecedents of Consumer Attitude towards Blogger Recommendations and its Impact on Purchase Intention. Asian Journal of Business and Accounting, 11, 292–323. https://doi.org/10.22452/ajba.vol11no1.10
Priyo, D., Lilik, W. R., Kantor, P., Djpb, W., Nusa, P., & Barat, T. (2018). DETERMINAN KEPUASAN SISTEM PERBENDAHARAAN DAN ANGGARAN NEGARA (STUDI PADA
DIREKTORAT JENDERAL PERBENDAHARAAN). In Jurnal Akuntansi Aktual (Vol. 5, Issue 2).
Rogers, E. M. (1995). Diffusion of Innovations: Modifications of a Model for Telecommunications. In M.-W. Stoetzer & A. Mahler (Eds.), Die Diffusion von Innovationen in der Telekommunikation (pp. 25–38). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-79868-9_2
Rogers, E. M. (2003). Diffusion of Innovations, 5th Edition - Everett M. Rogers - Google Buku (5th ed., Vol. 5). https://books.google.co.id/books?id=9U1K5LjUOwEC&printsec=frontcover&re dir_esc=y#v=onepage&q&f=false
Sekaran, U., & Bougie, R. (2009). Research Methods for Business: A Skill Building Approach (5th Edition). International Journal of Information Technology and Management - IJITM.
Taylor, S., & Todd, P. A. (1995). Understanding Information Technology Usage: A Test of Competing Models. Information Systems Research, 6(2), 144–176. http://www.jstor.org/stable/23011007
Venkatesh, V., Morris, M., Davis, G., & Davis, F. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27, 425–478. https://doi.org/10.2307/30036540
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of
technology. MIS Quarterly: Management Information Systems, 36(1), 157–178. https://doi.org/10.2307/41410412
Verkijika, S., & de Wet, L. (2018). E-government adoption in sub-Saharan Africa.
Electronic Commerce Research and Applications, 30. https://doi.org/10.1016/j.elerap.2018.05.012
Wang, Y. S., & Liao, Y. W. (2008). Assessing eGovernment systems success: A validation of the DeLone and McLean model of information systems success. Government Information Quarterly, 25(4), 717–733. https://doi.org/10.1016/J.GIQ.2007.06.002
Wixom, B. H., & Todd, P. A. (2005). A theoretical integration of user satisfaction and technology acceptance. Information Systems Research, 16(1), 85–102. https://doi.org/10.1287/isre.1050.0042
Yuhelmi, Y., Dharma, S., Trianita, M., & Mulatsih, L. (2020). The Extension of TAM Model in the Use of Point of Sale (Pos) in Minimarkets in Padang, Indonesia. https://doi.org/10.18502/kss.v3i14.4300
Zhang, X., & Maruping, L. (2008). Household technology adoption in a global marketplace: Incorporating the role of espoused cultural values. Information Systems Frontiers, 10, 403–413. https://doi.org/10.1007/s10796-008-9099-y
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