Adoption of Digital Accounting Systems among Small and Medium Enterprises in Wetland Ecosystems

DOI: https://doi.org/10.26618/8x14hw30

Penulis

Digital Accounting System, Accounting Information System, Small and Medium Enterprises, Digital Literacy, Technology Adoption

Abstrak

Digital accounting systems represent an important component of accounting information systems that support financial recording, reporting, and decision-making in small and medium enterprises (SMEs). However, SMEs operating in environmentally constrained regions may face contextual challenges that alter the determinants of digital accounting adoption. This study examines factors influencing digital accounting system adoption among SMEs in South Kalimantan's wetland ecosystems. Drawing on the Technology Acceptance Model, Diffusion of Innovation Theory, and the Resource-Based View, this research develops an integrated framework to assess the relative influence of perceived usefulness, perceived ease of use, digital infrastructure, and digital literacy on adoption intention. Survey data were collected from 86 SME owners and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate that digital literacy (β = 0.439, p < 0.001) is the strongest predictor of adoption intention, followed by perceived usefulness (β = 0.310, p = 0.001) and digital infrastructure (β = 0.233, p = 0.004). Perceived ease of use is not significant (β = 0.092, p = 0.435), suggesting that in chronically volatile environments baseline expectations for technological friction may be elevated, a phenomenon we term friction tolerance. Wetland ecosystem characteristics show no direct or moderating effects. The model explains 72.4% of the variance in adoption intention, indicating strong explanatory power. These findings contribute to accounting information systems literature by demonstrating that capability-based mechanisms, particularly digital literacy, assume greater explanatory weight than perceptual mechanisms in environmentally constrained settings. Practical implications emphasize prioritizing capacity-building initiatives and strategic infrastructure investment to support SME digital accounting adoption in wetland regions.

Referensi

Abdallah, W., Harraf, A., Ghura, H., & Abrar, M. (2024). Financial literacy and small and medium enterprises performance: the moderating role of financial access. Journal of Financial Reporting and Accounting. https://doi.org/10.1108/JFRA-06-2024-0337

Bagozzi, R. P. (2007). The legacy of the technology acceptance model and a proposal for a paradigm shift. Journal of the Association for Information Systems, *8*(4), 244–254. https://doi.org/10.17705/1jais.00122

Barney, J. (1991). Firm Resources and Sustained Competitive Advantage. Journal of Management, 17(1), 99–120. https://doi.org/10.1177/014920639101700108

Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319. https://doi.org/10.2307/249008

Díaz-Arancibia, J., Hochstetter-Diez, J., Bustamante-Mora, A., Sepúlveda-Cuevas, S., Albayay, I., & Arango-López, J. (2024). Navigating Digital Transformation and Technology Adoption: A Literature Review from Small and Medium-Sized Enterprises in Developing Countries. Sustainability, 16(14), 5946. https://doi.org/10.3390/su16145946

Doyle, G. J., Garrett, B., & Currie, L. M. (2014). Integrating mobile devices into nursing curricula: Opportunities for implementation using Rogers’ Diffusion of Innovation model. Nurse Education Today, 34(5), 775–782. https://doi.org/10.1016/j.nedt.2013.10.021

Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203

Handayani, B. D., Kiswanto, Hajawiyah, A., Harjanto, A. P., & Rahman, M. F. (2023). Analysis of the Use of Accounting Information Technology in MSMEs In Indonesia. Quality - Access to Success, 24(195), 115–124. https://doi.org/10.47750/QAS/24.195.14

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8

Kampoowale, I., Hussien Musa, A. M., Adam Abdalla, A. A., Iftikhar, H., Abdelraheem, A. A. E., & Elamin Elboukhari, Y. A. (2026). Assessing the mediating role of human capital in the relationship between digital transformation and firm performance. Journal of Manufacturing Technology Management, 37(1), 1–22. https://doi.org/10.1108/JMTM-02-2025-0122

Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & Management, 40(3), 191–204. https://doi.org/10.1016/S0378-7206(01)00143-4

Morris, J., Morris, W., & Bowen, R. (2022). Implications of the digital divide on rural SME resilience. Journal of Rural Studies, 91, 102–115.

Musyaffi, A. M., Johari, R. J., & Hendrayati, H. (2025). Exploring Technological Factors and Cloud Accounting Adoption in MSMEs: A Comprehensive TAM Framework. International Review of Management and Marketing, 15(2), 45–60.

Permatasari, D., Mohammed, N. F., & Shafie, N. A. (2024). Exploring Factors Influencing the Adoption of Cloud Accounting Systems in Indonesian Micro Small and Medium Enterprises: A Unified Theory of Acceptance and Use of Technology Based Analysis. Management and Accounting Review, 23(1), 195–229.

Rana, M., Islam, Md. T., Abdelwaheb, S., Islam, H., & Alam, S. M. S. (2025). Modeling the adoption of financial technology for sustainable agricultural development in Bangladesh using the technology acceptance model. Discover Sustainability, 6(1), 1191. https://doi.org/10.1007/s43621-025-02000-3

Reddy, J., & Mamabolo, A. (2023). Resourcing actions that influenced business model adaptation during the COVID-19 crisis. South African Journal of Business Management, 54(1). https://doi.org/10.4102/sajbm.v54i1.3597

Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019). Diffusion of innovations. In An Integrated Approach to Communication Theory and Research, Third Edition. https://doi.org/10.4324/9780203710753-35

Seppänen, S., Ukko, J., & Saunila, M. (2025). Understanding determinants of digital transformation and digitizing management functions in incumbent SMEs. Digital Business, 5(1), 100106. https://doi.org/10.1016/j.digbus.2025.100106

Shbeilat, M. K., & Al-Hajaia, M. E. (2022). Electronic Accounting Applications In Micro-Enterprises: Challenges And Impact On Financial Inclusion. Journal of Governance and Regulation, 11(3), 165–178. https://doi.org/10.22495/JGRV11I3ART14

Tiwasing, P., Clark, B., & Gkartzios, M. (2022). How can rural businesses thrive in the digital economy? A UK perspective. Heliyon, 8(10), e10745. https://doi.org/10.1016/j.heliyon.2022.e10745

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly: Management Information Systems, 27(3), 425–478. https://doi.org/10.2307/30036540

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2026-03-31

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