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Accounting Information Security Control and Satisfaction of Accountants Regarding Accounting Information Systems

Vuong Thi Thanh Nhan, Nguyen Ngoc Khanh Dung, Tran Phuoc

Abstract


This study analyzes the factors affecting accountants’ satisfaction with the accounting information system in Vietnamese enterprises. The research results of this study show that the factors affecting user satisfaction with the accounting information system are directly influenced by four factors: the quality of the accounting workforce, perception of usefulness, system quality, and information quality. The quality of the accounting workforce is the factor that has the greatest direct impact on the accountant’s satisfaction. The second is the perceived usefulness factor. The third is the system quality factor, and the last is the information quality factor. In particular, the results of this study indicate that humans are an important factor. Knowledge of accounting information security control is directly proportional to accountants’ satisfaction with the accounting information system. The results can be used to recommend enterprises improve accountants’ satisfaction, helping to increase work efficiency. Objectives: The main objectives of this study include: (1) Identifying the factors influencing the satisfaction of accountants with the accounting information system in enterprises in Vietnam. (2) Determining the relationship between accounting information security and the satisfaction of accountants with the accounting information system. (3) Providing recommendations to enhance the satisfaction of accountants with the accounting information system in enterprises in Vietnam. Methods: This study uses qualitative and quantitative research. During the qualitative process, this study analyzed related works. Group discussions are used to provide initial assessments of measurement scales, concepts, and research hypotheses and to adjust, supplement, and explore influencing factors. The questionnaire and the research model are reviewed by the experts. Quantitative research involved data collection through survey investigations based on a designed questionnaire via Google Forms. The formal research survey was conducted using a stratified sampling method, encompassing businesses from various sectors. The quantitative research employed the Cronbach Alpha reliability test for the measurement scales, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and the use of structural equation modeling (SEM) to assess the structural relationships. Descriptive statistics and tests of significance were also utilized. Findings: The results of the study on the factors affecting user satisfaction with an accounting information system are directly influenced by four factors: system quality, information quality, quality of accountants, and perceived usefulness. The quality of the accounting workforce has the greatest direct impact on the accountant’s satisfaction, followed by perceived usefulness, system quality, and information quality factors. Novelty:This study discovered a relationship between knowledge of accounting information security and the level of satisfaction among accountants regarding information technology systems in enterprises in Vietnam. This finding can assist enterprises in implementing strategies to provide more training on accounting information security for their employees.

 

Doi: 10.28991/ESJ-2023-07-05-06

Full Text: PDF


Keywords


Accounting Information Security; Accounting Information System; Satisfaction; Relationship.

References


Romney, M., Steinbart, P., Mula, J., McNamara, R., & Tonkin, T. (2012). Accounting Information Systems Australasian Edition. Pearson Higher Education AU, Hoboken, United States.

Hall, J. A. (2015). Accounting information systems. Cengage Learning, Boston, United States.

Nurhidayati, F., Sensuse, D. I., & Noprisson, H. (2017). Factors influencing accounting information system implementation. 2017 International Conference on Information Technology Systems and Innovation (ICITSI). doi:10.1109/icitsi.2017.8267957.

Meiryani, & Susanto, A. (2018). The Influence of Information Technology on the Quality of Accounting Information System. Proceedings of the 2018 2nd High Performance Computing and Cluster Technologies Conference. doi:10.1145/3234664.3234671.

Al-Chahadah, A. R., Soda, M. Z., & Omari, R. Al. (2018). The Impact of the Internal Audit on the Quality of Accounting Information in the Jordanian Commercial Banks. International Journal of Economics and Finance, 10(9), 157. doi:10.5539/ijef.v10n9p157.

Algrari, A. Y., & Ahmed, M. R. M. (2019). The impact of Accounting Information Systems’ Quality on Accounting Information Quality. Journal of Information Technology Management, 11(3), 62-80.

Carolina, Y., Rapina, R., Silaban, B. T., Sada, C., Widyaningsih, G., & Ayu, F. (2020). Internal Control, AIS Quality and Accounting Information Quality. Proceedings of the 2020 3rd International Conference on Big Data Technologies. doi:10.1145/3422713.3422755.

Arif, D., Yucha, N., Setiawan, S., Oktarina, D., Martah, V., & Muttaqiin, N. (2020). Applications of goods mutation control form in accounting information system: A case study in sumber indah perkasa manufacturing, Indonesia. Journal of Asian Finance, Economics and Business, 7(8), 419–424. doi:10.13106/JAFEB.2020.VOL7.NO8.419.

Abdelraheem, A. A. E., Hussaien, A. M., Mohammed, M. A. A., & Elbokhari, Y. A. E. (2021). The effect of information technology on the quality of accounting information. Accounting, 191–196. doi:10.5267/j.ac.2020.9.017.

Meiryani, M., Chang, A., Alfred Lorenzo, B., & Daud, Z. M. (2021). Analysis of Technology Acceptance Model (TAM) Approach to the Quality of Accounting Information Systems. The 2021 9th International Conference on Computer and Communications Management. doi:10.1145/3479162.3479168.

Binha, V. T. T., Tranb, N. M., Thanhc, D. M., & Phamd, H. H. (2020). Firm size, business sector and quality of accounting information systems: Evidence from Vietnam. Accounting, 6(3), 327–334. doi:10.5267/j.ac.2020.2.002.

Ta, Q. B., & Nguyen, T. T. (2020). Impact of factors on the quality of accounting information system in civil engineering construction enterprises. Management Science Letters, 10(13), 2985–2992. doi:10.5267/j.msl.2020.5.027.

Ngo, H. T., Luu, D. H., & Truong, T. T. (2021). The Relationship between Internal Control and Accounting Information Quality: Empirical Evidence from Manufacturing Sector in Vietnam. Journal of Asian Finance, 8(10), 353–0359.

Ranganath, G. D. M., & Rajeshwaran, N. (2022). Quality of accounting information systems and organizational effectiveness in an emerging country. SMART Journal of Business Management Studies, 18(1), 22–29. doi:10.5958/2321-2012.2022.00003.3.

Li, J., Xia, T., & Wu, D. (2021). Internal Control Quality, Related Party Transactions and Accounting Information Comparability. Procedia Computer Science, 199, 1252–1259. doi:10.1016/j.procs.2022.01.159.

Vu, T. K. A., Dam, B. H., & van Ha, T. T. (2022). Factors Affecting the Application of Strategy Management Accounting in Vietnamese Logistics Enterprises. Journal of Distribution Science, 20(1), 27–39. doi:10.15722/jds.20.01.202201.27.

Nguyen, X. T., & Luu, Q. K. (2020). Factors affecting adoption of industry 4.0 by small-and medium-sized enterprises: A case in Ho Chi Minh city, Vietnam. Journal of Asian Finance, Economics and Business, 7(6), 255–264. doi:10.13106/JAFEB.2020.VOL7.NO6.255.

Bansah, E. A. (2018). The threats of using computerized accounting information systems in the banking industry. Journal of Accounting and Management Information Systems, 17(3), 440–461. doi:10.24818/jamis.2018.03006.

Fuller, S. H., & Markelevich, A. (2020). Should accountants care about blockchain? Journal of Corporate Accounting & Finance, 31(2), 34–46. doi:10.1002/jcaf.22424.

Pimentel, E., & Boulianne, E. (2020). Blockchain in Accounting Research and Practice: Current Trends and Future Opportunities. Accounting Perspectives, 19(4), 325–361. doi:10.1111/1911-3838.12239.

Tiron-Tudor, A., Deliu, D., Farcane, N., & Dontu, A. (2021). Managing change with and through blockchain in accountancy organizations: a systematic literature review. Journal of Organizational Change Management, 34(2), 477–506. doi:10.1108/JOCM-10-2020-0302.

Haryanto, S. D., & Sudaryati, E. (2020). The Ethical Perspective of Millennial Accountants in Responding to Opportunities and Challenges of Blockchain 4.0. Journal of Accounting and Investment, 21(3), 452–470. doi:10.18196/jai.2103159.

Lawita, N. F. (2020). The Influence of Accounting Information System (AIS) on Internal Control in a Company. Scientific Journal of Management, Economics, & Accounting, 4(3), 459-471.

Hazaa, Y. M. H., & Jogdand, D. A. (2020). Availability of General Control Procedures of the Security of Accounting Information System (AIS): Evidence from Yemen. Journal of Economic Cooperation & Development, 41(2), 67-90.

Rashid, C. A. (2022). The role of internal control in fraud prevention and detection. Journal of Global Economics and Business, 3(8), 43–55. doi:10.31039/jgeb.v3i8.40.

Kasasbeh, F. I. O. (2017). Impact of Corporate Governance on the Effectiveness of Accounting Information System in Jordanian Industrial Companies. International Business Research, 10(10), 1. doi:10.5539/ibr.v10n10p1.

DeLone, W. H., & McLean, E. R. (1992). Information Systems Success: The Quest for the Dependent Variable. Information Systems Research, 3(1), 60–95. doi:10.1287/isre.3.1.60.

DeLone, W. H., McLean, E. R. (2003). The DeLone and McLean Model of Information Systems Success: A Ten-Year Update. Journal of Management Information Systems, 19(4), 9–30. doi:10.1080/07421222.2003.11045748.

Kotler, P. (2003). A framework for marketing management. Pearson Education India, Noida, India.

Droge, C. (1998). Know your customer: new approaches to understanding customer value and satisfaction. Journal of the Academy of Marketing Science, 26(4), 351.

Baroudi, J. J., Olson, M. H., & Ives, B. (1986). An Empirical Study of the Impact of User Involvement on System Usage and Information Satisfaction. Communications of the ACM, 29(3), 232–238. doi:10.1145/5666.5669.

Sedera, D., Gable, G., & Chan, T. (2004). A factor and structural equation analysis of the enterprise systems success measurement model. Proceedings of the 10th Americas conference on information systems, 6-8 August, 2004, New York, United States.

Iivari, J. (2005). An empirical test of the DeLone-McLean model of information system success. ACM SIGMIS Database: The DATABASE for Advances in Information Systems, 36(2), 8–27. doi:10.1145/1066149.1066152.

Petter, S., DeLone, W., & McLean, E. (2008). Measuring information systems success: Models, dimensions, measures, and interrelationships. European Journal of Information Systems, 17(3), 236–263. doi:10.1057/ejis.2008.15.

Petter, S., & McLean, E. R. (2009). A meta-analytic assessment of the DeLone and McLean IS success model: An examination of IS success at the individual level. Information and Management, 46(3), 159–166. doi:10.1016/j.im.2008.12.006.

Davis, F. D. (1985). A technology acceptance model for empirically testing new end-user information systems: Theory and results. Management. PhD Thesis, Massachusetts Institute of Technology, Cambridge, United States.

Davis, F. D. (1989). User Acceptance of Information Systems: Technology acceptance model (TAM). Working Paper #529.University of Michigan, Ann Arbor, United States.

Hair, J. F., Bush, R. P., & Ortinau, D. J. (2008). Marketing research. McGraw-Hill Higher Education, New York, United States.

Boyce, C., & Neale, P. (2006). Conducting in-depth interviews: A guide for designing and conducting in-depth interviews for evaluation input (Vol. 2). Pathfinder international, Watertown, United States.

Bollen, K. A. (1989). Structural Equations with Latent Variables. John Wiley & Sons, Hoboken, United States. doi:10.1002/9781118619179.

Peterson, R. A. (1994). A meta-analysis of Cronbach's coefficient alpha. Journal of Consumer Research, 21(2), 381-391. doi:10.1086/209405.

Slater, S. F., & Narver, J. C. (1995). Market Orientation and the Learning Organization. Journal of Marketing, 59(3), 63. doi:10.2307/1252120.

Hair, J. F. (2009). Multivariate data analysis. Available online: https://digitalcommons.kennesaw.edu/facpubs/2925/ (accessed on July 2023).

Anderson, J. C., & Gerbing, D. W. (1988). Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach. Psychological Bulletin, 103(3), 411–423. doi:10.1037/0033-2909.103.3.411.

Hanh, H. T. H. (2018). User satisfaction of accounting information systems: research on enterprises in Da Nang. Journal of Science and Technology - University of Danang, 41-45.

Ruangkanjanases, A., Hariguna, T., Adiandari, A. M., & Alfawaz, K. M. (2022). Assessing Blockchain Adoption in Supply Chain Management, Antecedent of Technology Readiness, Knowledge Sharing and Trading Need. Emerging Science Journal, 6(5), 921–937. doi:10.28991/ESJ-2022-06-05-01.


Full Text: PDF

DOI: 10.28991/ESJ-2023-07-05-06

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