Budget–forecast responsiveness, forecast use and management control effectiveness

Autores/as

DOI:

https://doi.org/10.1108/REGE-01-2026-0016/11863732

Palabras clave:

Management control effectiveness, Loose-coupling theory, Interdependence, Budget, Forecast, Forecast roles

Resumen

Purpose

This study examines the relationship between the responsiveness of budgets and forecasts and management control (MC) effectiveness, and whether this relationship is mediated by the planning, control and evaluation roles of forecasts.

Design/methodology/approach

We conducted a survey and obtained a sample of 86 medium and large firms that use both annual budgets and forecasts. For data analysis, we used Structural Equation Modeling (PLS-SEM).

Findings

The results show that budget–forecast responsiveness is not directly associated with MC effectiveness but is positively associated with all three forecast macro-functions: planning, control, and performance evaluation. However, effectiveness arises from how forecasts are used through two distinct channels. Planning has the strongest direct association with MC effectiveness, contributing autonomously rather than transmitting responsiveness. Performance evaluation was the only role mediating the responsiveness–effectiveness relationship.

Practical implications

Our findings suggest that aligning budget and forecast design is insufficient, on its own, to increase MC effectiveness; it depends on how forecasts are used. Using forecasts for planning delivers value directly, whereas using them for performance evaluation converts a responsive design into effectiveness.

Originality/value

This study contributes to the internal forecasting and management control literature by linking budget and forecast (through loose coupling theory), forecast use and MC effectiveness.

Descargas

Los datos de descarga aún no están disponibles.

Referencias

Becker, S. D., Mahlendorf, M. D., Schäffer, U., & Thaten, M. (2016). Budgeting in times of economic crisis. Contemporary Accounting Research, 33(4), 1489–1517. doi: https://doi.org/10.1111/1911-3846.12222.

Beekun, R. I., & Glick, W. H. (2001). Organization structure from a loose coupling perspective: A multidimensional approach. Decision Sciences, 32(2), 227–250. doi: https://doi.org/10.1111/j.1540-5915.2001.tb00959.x.

Bhimani, A., Sivabalan, P., & Soonawalla, K. (2018). A study of the linkages between rolling budget forms, uncertainty and strategy. The British Accounting Review, 50(3), 306–323. doi: https://doi.org/10.1016/j.bar.2017.11.002.

Bhimani, A., Sivabalan, P., Soonawalla, K., & Wakefield, J. (2024). Annual budgets and rolling budgets use in UK and Australian firms. Journal of Management Control, 35(4), 509–561. doi: https://doi.org/10.1007/s00187-024-00382-5.

Brüggen, A., Grabner, I., & Sedatole, K. L. (2021). The folly of forecasting: The effects of a disaggregated demand forecasting system on forecast error, forecast positive bias, and inventory levels. The Accounting Review, 96(2), 127–152. doi: https://doi.org/10.2308/tar-2018-0559.

Bukh, P. N., Ringgaard, A., & Sandalgaard, N. (2025). Moving beyond beyond budgeting: A case study of the dynamic interrelationships between budgets and forecasts. European Accounting Review, 34(3), 1221–1247. doi: https://doi.org/10.1080/09638180.2024.2362681.

Casas-Arce, P., Cheng, M. M., Grabner, I., & Modell, S. (2022). Managerial accounting for decision-making and planning. Journal of Management Accounting Research, 34(1), 1–7. doi: https://doi.org/10.2308/jmar-10784.

Cassar, G., & Gibson, B. (2008). Budgets, internal reports, and manager forecast accuracy. Contemporary Accounting Research, 25(3), 707–738. doi: https://doi.org/10.1506/car.25.3.3.

Cohen, J. (1988). Statistical Power Analysis for the Behavioural Sciences, Statistical Power Anaylsis for the Behavioral Sciences ( (2nd ed.) ). New York: Routledge.

Demartini, M. C., & Otley, D. (2020). Beyond the system vs. package dualism in performance management systems design: A loose coupling approach. Accounting, Organizations and Society, 86, 101072. doi: https://doi.org/10.1016/j.aos.2019.101072.

Faul, F., Erdfelder, E. R., Lang, A. G., & Buchner, A. (2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39(2).

Frezatti, F., Mucci, D. M., & Bido, D. D. S. (2022). Structure of planning and control artifacts and their accuracy in Brazilian family businesses. BAR-Brazilian Administration Review, 19(3), e210080. doi: https://doi.org/10.1590/1807-7692bar2022210080.

Grabner, I., & Moers, F. (2013). Management control as a system or a package? Conceptual and empirical issues. Accounting, Organizations and Society, 38(6-7), 407–419. doi: https://doi.org/10.1016/j.aos.2013.09.002.

Green, K. M., Covin, J. G., & Slevin, D. P. (2008). Exploring the relationship between strategic reactiveness and entrepreneurial orientation: The role of structure–style fit. Journal of Business Venturing, 23(3), 356–383. doi: https://doi.org/10.1016/j.jbusvent.2007.01.002.

Hair, J. F. Jr, Sarstedt, M., Ringle, C. M., & Gudergan, S. P. (2017). Advanced issues in partial least squares structural equation modeling. Sage publications.

Hair, J. F. Jr, Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2021). A primer on partial least squares structural equation modeling (PLS-SEM). Sage publications.

Hansen, S. C., & Van der Stede, W. A. (2004). Multiple facets of budgeting: An exploratory analysis. Management Accounting Research, 15(4), 415–439. doi: https://doi.org/10.1016/j.mar.2004.08.001.

Henttu-Aho, T. (2018). The role of rolling forecasting in budgetary control systems: reactive and proactive types of planning. Journal of Management Control, 29(3), 327–360. doi: https://doi.org/10.1007/s00187-018-00273-6.

Jordan, S., & Messner, M. (2020). The use of forecast accuracy indicators to improve planning quality: Insights from a case study. European Accounting Review, 29(2), 337–359. doi: https://doi.org/10.1080/09638180.2019.1577150.

Kock (2018). Should bootstrapping be used in PLS-SEM? Toward stable p-value calculation methods. Journal of Applied Structural Equation Modeling, 2(1), 1–12. doi: https://doi.org/10.47263/jasem.2(1)02.

Kroos, P., Schabus, M., & Verbeeten, F. H. (2022). The relation between internal forecasting sophistication and accounting misreporting. Journal of Management Accounting Research, 34(1), 51–73. doi: https://doi.org/10.2308/JMAR-2020-072.

Libby, R., & Rennekamp, K. (2012). Self‐serving attribution bias, overconfidence, and the issuance of management forecasts. Journal of Accounting Research, 50(1), 197–231. doi: https://doi.org/10.1111/j.1475-679X.2011.00430.x.

Lorain, M. A. (2010). Should rolling forecasts replace budgets in uncertain environments?. In Performance measurement and management control: Innovative concepts and practices (pp. 177–208). Emerald Group Publishing. doi: https://doi.org/10.1108/S1479-3512(2010)0000020010.

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

Orton, J. D., & Weick, K. E. (1990). Loosely coupled systems: A reconceptualization. Academy of Management Review, 15(2), 203–223. doi: https://doi.org/10.5465/amr.1990.4308154.

Otti, M., & Brouwer, H. (2021). Budgeting revisited. Strategic finance.

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

Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J. H., Ting, H., Vaithilingam, S., & Ringle, C. M. (2019). Predictive model assessment in PLS-SEM: Guidelines for using PLSpredict. European Journal of Marketing, 53(11), 2322–2347. doi: https://doi.org/10.1108/EJM-02-2019-0189.

Sivabalan, P., Booth, P., Malmi, T., & Brown, D. A. (2009). An exploratory study of operational reasons to budget. Accounting and Finance, 49(4), 849–871. doi: https://doi.org/10.1111/j.1467-629X.2009.00305.x.

Wang, Y., Li, P., Al-Sayed, M., & Gong, Y. (2025). The evolution of management control combinations in the transformation toward hybridity: A case study. Accounting Forum, 1–31. doi: https://doi.org/10.1080/01559982.2025.2574126.

Publicado

2026-09-27

Número

Sección

Article

Cómo citar

Budget–forecast responsiveness, forecast use and management control effectiveness. (2026). REGE Revista De Gestão, 33. https://doi.org/10.1108/REGE-01-2026-0016/11863732