New End-user Computing Satisfaction Model for Computerized Accounting Systems: Selected Accounting Firms
Angelito C. Descalzo | Jhanella C. Alvarez | Ryan Philippe L. Khia | Shin Ainsley L. Reas | Reygilyn A. Reyes | Joyce Ann E. Romantico | Nizel Ann C. Serviño
Discipline: accounting
Abstract:
Over the years, technology has brought a drastic effect on
businesses through different information systems, like
Computerized Accounting Systems. The COVID-19 pandemic has
caused more enterprises to engage in automated operations, as
the pandemic compelled them to move to a work from home
setup. An End-User Computing Satisfaction model was introduced
to measure the effectiveness of these systems. The continuous
development of technology warranted the need to modify the
model. With various issues and threats in the use of information
systems, it is vital to include system security as an additional
independent factor together with the user expectation. The study
developed a new model for the Computerized Accounting System
using triangulation mixed-method, and confirmatory factor
analysis to analyze and interpret the data. The respondents of the
study were determined through snowball sampling. The study
conducted a structured interview with selected Information
Technology developers and surveyed the accountants in the
Accredited Accounting Firms/Partnerships in the National Capital
Region. The data gathered along with the theories and frameworks
were utilized in designing the new model. The analysis of the data
together with the perception of the developers showed that the
proposed model exhibited an excellent level of reliability and can effectively measure End-User Computing Satisfaction using the
nine factors. The study has shown strong evidence that the
proposed new model is valid and can be used in evaluating the
effectiveness and efficiency of the System.
References:
- Aggelidis, V. P., & Chatzoglou, P. D. (2012). Hospital information systems: Measuring end-user computing satisfaction (EUCS). Journal of Biomedical Informatics, 45(3), 566–579. ISSN 1532-0464.
- Aigbavboa, C., & Thwala, W. (2013). An Assessment of the Key Determinants of building Science Students satisfaction when undertaking Group Work: a Case study of the University of Johannesburg, South Africa.
- Alsufy, Fares. (2019). The Effect of Speed and Accuracy in
- Accounting Information Systems on Financial Statements Content in Jordanian Commercial Banks. International Journal of Business and Management. 14. 160. 10.5539/ijbm.v14n8p160.
- Amin, M., Rezaei, S., & Abolghasemi, M. (2014). User satisfaction with mobile websites: the impact of perceived usefulness (PU), perceived ease of use (PEOU) and trust. Nankai Business Review International, 5(3), 258– 274. https://doi.org/10.1108/nbri-01-2014-0005
- Azwar, M., Surandari, I., & Djohar, H. I. (2020). Evaluating the Library Website of The Indonesian Ministry Of Education And Culture Through The End-User Computing Satisfaction (EUCS) Model.
- Barnes, W. A. & Hill, M. C. (2011). End-user Computing Applications. The CPA Journal 81.7 (2011): 67-71and longitudinal test. MIS Quarterly, 28, 229–254.
- Boell, S. K., & Cecez-Kecmanovic, D. (2015). What is an information system? 2015 48th Hawaii International Conference on System Sciences. https://doi.org/10.1109/hicss.2015.587
- Cakır, R., & Solak, E. (2015). Attitude of Turkish EFL Learners towards e- Learning through TAM Model. Procedia - Social and Behavioral Sciences, 176,596–601. https://doi.org/10.1016/j.sbspro.2015.01.515
- Chin, W., & Lee, M. (2000). A proposed model and measurement instrument for the formation of IS satisfaction: the case of end-user computing satisfaction. Proceedings of The Twenty-First International Conference On Information System, Queensland, Australia.
- Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 319-340.
- Delone, WH, McLean, ER (2003) The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems 19(4): 9–30.
- Detlor, B., Hupfer, M. E., Ruhi, U., & Zhao, L. (2013). Information quality and community municipal portal use. Government Information Quarterly, 30(1), 23-32.
- Doll, W. J., & Torkzadeh, G. (1988). The measurement of end-user computing satisfaction. MIS Quarterly,12(2), 259. https://doi.org/10.2307/248851
- Fong, S. C. C., & Ho, M. W. H. (2014). Accounting Information Systems End-User Satisfaction: Evidence of Hong Kong
- Housing Authority. The International Technology Management Review, 4(1), 27 - 41. https://doi.org/10.2991/itmr.2014.4.1.3
- Fontinelle, A. (2021). Introduction to accounting information systems – AIS. Investopedia. RetrievedSeptember 20, 2021, from https://www.investopedia.com/ articles/professionaleducation/11/accounting-information-systems.asp.
- Hastuti, I., Wijiyanto, W., Lestari, W., & Sumarlinda, S. (2019). The User Satisfaction Level Of Elearning For Business And Management Subjects Based On Technology Acceptance Model. International Journal of Economics, Business, and Accounting Research (IJEBAR), 3(03). https://doi.org/10.29040/ijebar.v3i03.491
- Ilias, A., & Razak, M. (2011). End-User Computing Satisfaction (EUCS) toward Computerised Accounting System (CAS) in Public Sector: A Validation of Instrument. Journal of Internet Banking and Commerce, 16(2).
- Kettinger WJ and Lee CC (1994) Perceived service quality and user satisfaction with the information services function. Decision Sciences 25 (5), 737–766.
- Khalilzadeh, J., Ozturk, A. B., and Bilgihan, A. (2017). Security-related factors in extended UTAUT model for NFC-based mobile payment in the restaurant industry. Comput. Hum. Behav. 70, 460–474. doi: 10.1016/j.chb.2017.01.001
- Lenny, P. Y., & Kridanto, S. (2019, April). Analysis of user acceptance, service quality, and customer satisfaction of hospital management information system. In Journal of Physics: Conference Series (Vol. 1193, No. 1, p. 012001). IOP Publishing.
- Martins, C., Oliveira, T., & Popovič, A. (2014). Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application. International journal of information management, 34(1), 1-13.
- Morosan, C. (2012). Theoretical and Empirical Considerations of Guests’ Perceptions of Biometric Systems in Hotels: Extending the Technology Acceptance Model. Journal of Hospitality and Tourism Research, 36(1). https://doi.org/10.1177/1096348010380601
- Rana, A., Rawat, A. S., & Bijalwan, A. (2017). Process of finding defects in software testing. Proceedings of the Second International Conference on Research in Intelligent and Computing in Engineering. https://doi.org/10.15439/2017r18
- Viner, J. (2020). 4 Ways to Improve the End-User Experience — and Benefit Your IT. Insight. Retrieved From: https://bit.ly/3kXDI2p.
- Vululleh, P. (2018). Determinants of Students’ E-Learning Acceptance in Developing Countries: An Approach Based on Structural Equation Modeling (SEM). International Journal of Education and Development Using Information and Communication Technology, 14(1). ISSN: 1814- 0556.
Full Text:
Note: Kindly Login or Register to gain access to this article.
ISSN 2945-4735 (Online)
ISSN 1908-6326 (Print)