Date Received: Aug 10, 2025
Date Accepted: Mar 03, 2026
Date Published: Mar 31, 2026
Views
Download
Section:
How to Cite:
Factors Influencing the Acceptance of “1C” Software Applications in Small and Medium-Sized Enterprises in the former Thai Binh City, Vietnam
Keywords
Technology acceptance, accounting software adoption, SMEs
Abstract
The study aimed to analyze the factors influencing the acceptance of 1C software in SMEs in the former Thai Binh city. A quantitative research approach was employed, involving 166 samples collected through direct surveying. After data collection and processing, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), hypothesis testing based on the research model using structural equation modeling (SEM), and multi-group analysis were conducted with SPSS 20.0 and AMOS 24 software. To enhance analytical robustness, a multi-group structural analysis was employed to assess whether the effects of different factors varied between SMEs that have already adopted the software and those that have not. The results revealed that acceptance was influenced by seven determinants, among which accounting staff competence, technological infrastructure, and perceived ease of use exerted the most significant influence. Conversely, risk perception was identified as a key barrier to adoption in SMEs that have not yet implemented the software. Based on these findings, the study proposes the following solutions: (1) enhancing the qualifications and technological capabilities of accounting staff; (2) investing in and improving technological infrastructure; (3) increasing awareness of the software’s ease of use; (4) raising awareness of its usefulness, legal compliance, and risk mitigation; and (5) optimizing investment costs.
References
Al-Qirim N. (2007). The Adoption of eCommerce Communications and Applications Technologies in Small Businesses in New Zealand. Electronic Commerce Research and Applications. 6(4): 462-473. DOI: 10.1016/j.elerap.2007.02.012.
Appelbaum D. Kogan A., Vasarhelyi M. A. & Yan Z. (2017). Impact of business analytics and enterprise systems on managerial accounting. International Journal of Accounting Information Systems. 25: 29-44. DOI: 10.1016/j.accinf.2017.03.003.
Davis F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly. 13(3): 319-340. DOI: 10.2307/249008.
Duong T. T. H. & Nguyen T. H. S. (2022). Factors affecting the adoption of accounting software in hotels in Da Nang city: An overview and research directions. Journal of Accounting Research and Practice. 12(1): 45-60.
Featherman M. S. & Pavlou P. A. (2003). Predicting e-services adoption: a perceived risk facets perspective. International Journal of Human-Computer Studies. 59(4): 451-474. DOI: 10.1016/S1071-5819(03)00111-3.
Granlund M & Malmi T. (2002). Moderate impact of ERPS on management accounting: A lag or permanent outcome? Management Accounting Research. 13(3): 299-321. DOI: 10.1006/mare.2002.0199.
Ifinedo P. (2011). An empirical analysis of factors influencing the acceptance of enterprise resource planning systems in manufacturing and service organizations. International Journal of Production Economics. 130(1): 110-120. DOI: 10.1016/j.ijpe.2010.10.014.
Nunnally J. C. (1978). Psychometric theory (2nd ed.). New York: McGraw-Hill.
Ngo T. T. H, Vu T. H, Tran Q. T, Vu M. C & Nguyen T. H. N (2020). Factors affecting the capacity of accounting software in controlling frauds and errors in small and medium enterprises (SMEs): A case study of SMEs in Hanoi, Vietnam. Vietnam Journal of Agricultural Sciences. 3(3): 746-755. DOI: 10.31817/vjas.2020.3.3.08.
Peterson R. A. (1994). A meta-analysis of Cronbach’s coefficient alpha. Journal of Consumer Research.
(2): 381-391. DOI: 10.1086/209405.
Pavlou P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce. 7(3): 101-134. DOI: 10.1080/10864415.2003.11044275.
Slater S. F. (1995). Issues in conducting marketing strategy research. Journal of Strategic Marketing. 3(4): 257-270. DOI: 10.1080/09652549500000016.
Phan L. T., Phi T. D. H., Tran N. T. Y. & Nguyen T. H. B. (2022). Factors influencing the adoption of information technology in accounting in small and medium enterprises in Hanoi. Vietnam Journal of Agricultural Science. 20(5): 665-676. DOI: 10.31219/osf.io/3n5u8 (in Vietnamese).
Pratama M. R. A. & Yulianti R. (2022). Study of the use of accounting software with Technology Acceptance Model (TAM) approach on SMEs in the City of Mataram. Budapest International Research and Critics Institute (BIRCI-Journal): Humanities and Social Sciences. 5(1): 631-639. DOI: 10.33258/birci.v5i1.3837.
Zhu K. & Kraemer K. L. (2005). Post-adoption variations in usage and value of e-business by organizations: cross-country evidence from the retail industry. Information Systems Research. 16(1): 61-84. DOI: 10.1287/isre.1050.0045.
Venkatesh V. & Davis F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science. 46(2): 186-204. DOI: 10.1287/mnsc.46.2.186.11926.