Behind Uncertainty: Organizational Culture and AIS Quality in Shaping the Effectiveness of Management Control Systems

Authors

  • Muhammad Nawawi Universitas Sultan Ageng Tirtayasa, Serang, Indonesia Author
  • Tri Wahyudi Universitas Sultan Ageng Tirtayasa, Serang, Indonesia Author
  • Kurniarga Bagaskara Universitas Sultan Ageng Tirtayasa, Serang, Indonesia Author
  • Lili Sugeng Wiyantoro Dongbei University of Finance and Economics, Dalian, China Author

DOI:

https://doi.org/10.24036/wra.v14.i2.24

Keywords:

organizational culture, environmental uncertainty, accounting information system quality, management control systems effectiveness

Abstract

Purpose – This study examines whether the quality of the accounting information system (AIS) is an information-processing mechanism through which organizational culture and perceived environmental uncertainty are associated with the effectiveness of management control systems (MCS).

Design/methodology/approach – A cross-sectional survey was administered to financial managers, heads of accounting divisions and controllers of manufacturing firms listed on the Indonesia Stock Exchange (127 usable responses; purposive sampling). Each construct was specified as a composite of the facets defined by its parent framework (Competing Values Framework, DeLone and McLean model (2003), Malmi and Brown’s package (2008) and the model was estimated with PLS-SEM (SmartPLS 4) using bootstrapped direct and indirect effects.

Findings – Organizational culture and environmental uncertainty are positively associated with both AIS quality and MCS effectiveness. AIS quality is positively associated with MCS effectiveness and carries roughly one third of the total association of each contextual factor (indirect-to-total ratio 32.5% for culture, 33.3% for uncertainty), a pattern of complementary partial mediation. Information infrastructure is therefore an important but incomplete conduit: most of the association runs through channels that AIS quality does not capture.

Originality/value – The study’s contribution lies in identifying and testing an information-infrastructure mechanism that connects contextual conditions to MCS effectiveness. Rather than treating the combination of variables as novelty in itself, the study asks whether part of the association between contextual conditions and control effectiveness operates through the quality of the AIS that supplies information for control design, monitoring, and decision making.

Research limitations/implications – The cross-sectional, single-informant, perceptual design supports conclusions about association and consistency with the proposed mechanism, not causation. The results refine the mediating form of fit in contingency theory by showing that information-processing capacity carries part, but not all, of the link between context and control effectiveness.

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References

Afifa, M. M., & Saleh, I. (2022). Management accounting systems effectiveness, perceived environmental uncertainty and companies’ performance: the case of Jordanian companies. International Journal of Organizational Analysis, 30(2), 259–288. https://doi.org/10.1108/IJOA-07-2020-2288

Al-Hattami, H. M., & Kabra, J. D. (2024). The influence of accounting information system on management control effectiveness: The perspective of SMEs in Yemen. Information Development, 40(1), 75–93. https://doi.org/10.1177/02666669221087184

Binh, V. T. T., Tran, N. M., & Vu, M. C. (2022). The effect of organizational culture on the quality of accounting information systems: Evidence from Vietnam. SAGE Open, 12(3), 1–14. https://doi.org/10.1177/21582440221121599

Cameron, K. S., & Quinn, R. E. (1999). Diagnosing and changing organizational culture: Based on the competing values framework. Addison-Wesley.

Chenhall, R. H. (2003). Management control systems design within its organizational context: Findings from contingency-based research and directions for the future. Accounting, Organizations and Society, 28(2–3), 127–168. https://doi.org/10.1016/S0361-3682(01)00027-7

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. https://doi.org/10.1080/07421222.2003.11045748

Einhorn, S., Fietz, B., Guenther, T. W., & Guenther, E. (2023). The relationship of organizational culture with management control systems and environmental management control systems. Review of Managerial Science, 18, 2321–2371. https://doi.org/10.1007/s11846-023-00687-0

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A primer on partial least squares structural equation modeling (PLS-SEM) (3rd ed.). Sage. https://doi.org/10.1007/978-3-030-80519-7

Hall, J. A. (2020). Accounting information systems (10th ed.). Cengage Learning.

Hammouch, H., Manta, O., & Palazzo, M. (2024). Adapting Management Control Systems to Organizational Contingency Factors: A Study of Moroccan Industrial Companies. Businesses, 4(4), 883–898. https://doi.org/10.3390/businesses4040048

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

Janka, M., Heinicke, X., & Guenther, T. W. (2020). Beyond the “good” and “evil” of stability values in organizational culture for managerial innovation: the crucial role of management controls. Review of Managerial Science, 14, 1363–1404. https://doi.org/10.1007/s11846-019-00338-3

Ludji, T. R. (2025a). Contingency relationship between perceived environmental uncertainty and management control systems: Implications for innovation and performance. Journal of Accounting & Organizational Change. https://doi.org/10.1108/JAOC-10-2024-0322

Lyu, C., Swatdikun, T., Lakkanawanit, P., & Issayeva, G. (2025). The Performance Impact of Management Control Systems: Assessing the Mediating Role of Organizational Culture. Emerging Science Journal, 9(6), 3042–3061. https://doi.org/10.28991/ESJ-2025-09-06-010

Malmi, T., & Brown, D. A. (2008). Management control systems as a package: Opportunities, challenges and research directions. Management Accounting Research, 19(4), 287–300. https://doi.org/10.1016/j.mar.2008.09.003

Nassou, Y., & Bennani, Z. (2024). Contingency Theory in Management: Conceptual Phases and Strategic Link with Performance Measurement Systems. European Journal of Arts, Humanities and Social Sciences, 1(3), 183–187. https://doi.org/10.59324/ejahss.2024.1(3).16

Otley, D. T. (1980). The contingency theory of management accounting: Achievement and prognosis. Accounting, Organizations and Society, 5(4), 413–428. https://doi.org/10.1016/0361-3682(80)90040-9

Papiorek, K. L., & Hiebl, M. R. W. (2024). Information systems quality in management accounting and management control effectiveness. Journal of Accounting & Organizational Change, 20(3), 433–458. https://doi.org/10.1108/JAOC-09-2022-0148

Pilch, B. (2024). Have COVID-19 and the War in Ukraine Caused a Decline in the Value Relevance of Accounting Information? Evidence from Poland. Folia Oeconomica Stetinensia, 24(2), 252–279. https://doi.org/10.2478/foli-2024-0025

Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879

Qatawneh, A. M. (2023). The role of organizational culture in supporting better accounting information systems outcomes. Cogent Economics & Finance, 11(1), 2164669. https://doi.org/10.1080/23322039.2022.2164669

Ringle, C. M., Wende, S., & Becker, J.-M. (2024). SmartPLS 4. SmartPLS.

Sabol, M., Hair, J., Cepeda, G., Roldán, J. L., & Chong, A. Y. L. (2023). PLS-SEM in information systems: Seizing the opportunity and marching ahead full speed to adopt methodological updates. Industrial Management & Data Systems, 123(12), 2997–3017. https://doi.org/10.1108/IMDS-07-2023-0429

Sekaran, U., & Bougie, R. (2020). Research methods for business: A skill-building approach (8th ed.). John Wiley & Sons.

Sunarta, I. N., & Astuti, P. D. (2023). Accounting information system quality and organizational performance: The mediating role of accounting information quality. International Journal of Professional Business Review, 8(3), e01192. https://doi.org/10.26668/businessreview/2023.v8i3.1192

Weigel, C., Derfuss, K., & Hiebl, M. R. W. (2023). Financial managers and organizational ambidexterity in the German Mittelstand: the moderating role of strategy involvement. Review of Managerial Science, 17(2), 569–605. https://doi.org/10.1007/s11846-022-00534-8

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Published

2026-10-30

How to Cite

Nawawi, M., Wahyudi, T., Bagaskara, K., & Wiyantoro, L. S. (2026). Behind Uncertainty: Organizational Culture and AIS Quality in Shaping the Effectiveness of Management Control Systems. Wahana Riset Akuntansi, 14(2), 166-178. https://doi.org/10.24036/wra.v14.i2.24

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