Main Article Content
Abstract
Decentralised school finance depends on the capacity and commitment of the staff responsible for administering funds. This study examines whether fund-manager capacity and organisational commitment mediate the association between budgetary participation and performance, and whether information and communication technology (ICT) use strengthens these pathways. A Google Forms survey, distributed through school principals to designated BOS fund-management personnel in Tangerang Regency, Indonesia, yielded 400 usable records relating to the 2025 BOSP funding cycle, covering Stage I (January–June) and Stage II (July–December). Partial least squares structural equation modelling with 10,000 bootstrap resamples showed positive direct and indirect associations. Budgetary participation was associated with performance directly (β = 0.153) and through capacity (β = 0.114, 95% BCa confidence interval [0.072, 0.167]) and commitment (β = 0.057, [0.029, 0.092]). ICT strengthened both first-stage relationships; the moderated mediation indices were 0.061 [0.034, 0.096] and 0.028 [0.013, 0.053], respectively. The model explained 39.7% of performance variance, with blindfolding Q² = 0.253. Supplementary regressions with individual covariates retained the principal associations. The findings connect participative budgeting to staff development and motivation in school-grant administration and suggest that meaningful involvement, applied financial training, and usable digital workflows should be considered together. The cross-sectional design, perceptual measures, aggregate control specification, and mixed fit diagnostics qualify the conclusions.
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References
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- Bandur, A. (2012). School-based management developments and partnership: Evidence from Indonesia. International Journal of Educational Development, 32(2), 316–328. https://doi.org/10.1016/j.ijedudev.2011.05.007
- Bandur, A. (2018). Stakeholders’ responses to school-based management in Indonesia. International Journal of Educational Management, 32(6), 1082–1098. https://doi.org/10.1108/IJEM-08-2017-0191
- Barrera-Osorio, F., Fasih, T., Patrinos, H. A., & Santibáñez, L. (2009). Decentralized decision-making in schools: The theory and evidence on school-based management. World Bank. https://doi.org/10.1596/978-0-8213-7969-1
- Blanco-Encomienda, F. J., & Al Jasimee, K. H. (2026). Predicting the performance of industrial enterprises through ICT-enabled processes: The interplay of staff capacity and organizational commitment. Business Process Management Journal, 32(8), 1–27. https://doi.org/10.1108/BPMJ-06-2025-0912
- Brownell, P., & McInnes, M. (1986). Budgetary participation, motivation, and managerial performance. The Accounting Review, 61(4), 587–600.
- 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
- Cohen, W. M., & Levinthal, D. A. (1990). Absorptive capacity: A new perspective on learning and innovation. Administrative Science Quarterly, 35(1), 128–152. https://doi.org/10.2307/2393553
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- Hayes, A. F. (2015). An index and test of linear moderated mediation. Multivariate Behavioral Research, 50(1), 1–22. https://doi.org/10.1080/00273171.2014.962683
- He, L., & Ismail, K. (2023). Do staff capacity and performance-based budgeting improve organisational performance? Empirical evidence from Chinese public universities. Humanities and Social Sciences Communications, 10, Article 29. https://doi.org/10.1057/s41599-023-01523-2
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- Meyer, J. P., & Allen, N. J. (1991). A three-component conceptualization of organizational commitment. Human Resource Management Review, 1(1), 61–89. https://doi.org/10.1016/1053-4822(91)90011-Z
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- Nouri, H., & Parker, R. J. (1998). The relationship between budget participation and job performance: The roles of budget adequacy and organizational commitment. Accounting, Organizations and Society, 23(5–6), 467–483. https://doi.org/10.1016/S0361-3682(97)00036-6
- Otley, D. (2016). The contingency theory of management accounting and control: 1980–2014. Management Accounting Research, 31, 45–62. https://doi.org/10.1016/j.mar.2016.02.001
- Parker, R. J., & Kyj, L. (2006). Vertical information sharing in the budgeting process. Accounting, Organizations and Society, 31(1), 27–45. https://doi.org/10.1016/j.aos.2004.07.005
- 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
- Preacher, K. J., Rucker, D. D., & Hayes, A. F. (2007). Addressing moderated mediation hypotheses: Theory, methods, and prescriptions. Multivariate Behavioral Research, 42(1), 185–227. https://doi.org/10.1080/00273170701341316
- Riketta, M. (2002). Attitudinal organizational commitment and job performance: A meta-analysis. Journal of Organizational Behavior, 23(3), 257–266. https://doi.org/10.1002/job.141
- Ringle, C. M., Wende, S., & Becker, J.-M. (2015). SmartPLS 3 [Computer software]. SmartPLS GmbH. https://www.smartpls.com
- Shields, J. F., & Shields, M. D. (1998). Antecedents of participative budgeting. Accounting, Organizations and Society, 23(1), 49–76. https://doi.org/10.1016/S0361-3682(97)00014-7
- 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. https://doi.org/10.1108/EJM-02-2019-0189
- Winata, L., & Mia, L. (2005). Information technology and the performance effect of managers’ participation in budgeting: Evidence from the hotel industry. International Journal of Hospitality Management, 24(1), 21–39. https://doi.org/10.1016/j.ijhm.2004.04.006
References
Alhasnawi, M. Y., Mohd Said, R., Alshdaifat, S. M., Elorabi, K. A., Al-Hasnawi, M. H., & Khudhair, A. H. (2024). How does budget participation affect managerial performance in the higher education sector? A mediated-moderated model. Asian Journal of Accounting Research, 9(4), 325–339. https://doi.org/10.1108/AJAR-12-2023-0405
Bandur, A. (2012). School-based management developments and partnership: Evidence from Indonesia. International Journal of Educational Development, 32(2), 316–328. https://doi.org/10.1016/j.ijedudev.2011.05.007
Bandur, A. (2018). Stakeholders’ responses to school-based management in Indonesia. International Journal of Educational Management, 32(6), 1082–1098. https://doi.org/10.1108/IJEM-08-2017-0191
Barrera-Osorio, F., Fasih, T., Patrinos, H. A., & Santibáñez, L. (2009). Decentralized decision-making in schools: The theory and evidence on school-based management. World Bank. https://doi.org/10.1596/978-0-8213-7969-1
Blanco-Encomienda, F. J., & Al Jasimee, K. H. (2026). Predicting the performance of industrial enterprises through ICT-enabled processes: The interplay of staff capacity and organizational commitment. Business Process Management Journal, 32(8), 1–27. https://doi.org/10.1108/BPMJ-06-2025-0912
Brownell, P., & McInnes, M. (1986). Budgetary participation, motivation, and managerial performance. The Accounting Review, 61(4), 587–600.
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
Cohen, W. M., & Levinthal, D. A. (1990). Absorptive capacity: A new perspective on learning and innovation. Administrative Science Quarterly, 35(1), 128–152. https://doi.org/10.2307/2393553
Deci, E. L., Olafsen, A. H., & Ryan, R. M. (2017). Self-determination theory in work organizations: The state of a science. Annual Review of Organizational Psychology and Organizational Behavior, 4, 19–43. https://doi.org/10.1146/annurev-orgpsych-032516-113108
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
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.2307/3151312
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
Hayes, A. F. (2015). An index and test of linear moderated mediation. Multivariate Behavioral Research, 50(1), 1–22. https://doi.org/10.1080/00273171.2014.962683
He, L., & Ismail, K. (2023). Do staff capacity and performance-based budgeting improve organisational performance? Empirical evidence from Chinese public universities. Humanities and Social Sciences Communications, 10, Article 29. https://doi.org/10.1057/s41599-023-01523-2
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
Long, J. S., & Ervin, L. H. (2000). Using heteroscedasticity consistent standard errors in the linear regression model. The American Statistician, 54(3), 217–224. https://doi.org/10.1080/00031305.2000.10474549
Maiga, A. S., Nilsson, A., & Jacobs, F. A. (2014). Assessing the impact of budgetary participation on budgetary outcomes: The role of information technology for enhanced communication and activity-based costing. Journal of Management Control, 25(1), 5–32. https://doi.org/10.1007/s00187-014-0191-9
Melville, N., Kraemer, K., & Gurbaxani, V. (2004). Information technology and organizational performance: An integrative model of IT business value. MIS Quarterly, 28(2), 283–322. https://doi.org/10.2307/25148636
Meyer, J. P., & Allen, N. J. (1991). A three-component conceptualization of organizational commitment. Human Resource Management Review, 1(1), 61–89. https://doi.org/10.1016/1053-4822(91)90011-Z
Milani, K. (1975). The relationship of participation in budget-setting to industrial supervisor performance and attitudes: A field study. The Accounting Review, 50(2), 274–284.
Ministry of Primary and Secondary Education of the Republic of Indonesia. (2025). Regulation of the Minister of Primary and Secondary Education Number 8 of 2025 concerning technical guidelines for the management of operational assistance funds for educational units. https://jdih.kemendikdasmen.go.id/sjdih/siperpu/dokumen/salinan/Permendikdasmen_No_8_Tahun_2025_ttg_Juknis_Pengelolaan_Dana_Bantuan_Operasional_Satuan_Pendidikan.pdf
Nitzl, C., Roldán, J. L., & Cepeda, G. (2016). Mediation analysis in partial least squares path modeling: Helping researchers discuss more sophisticated models. Industrial Management & Data Systems, 116(9), 1849–1864. https://doi.org/10.1108/IMDS-07-2015-0302
Nouri, H., & Parker, R. J. (1998). The relationship between budget participation and job performance: The roles of budget adequacy and organizational commitment. Accounting, Organizations and Society, 23(5–6), 467–483. https://doi.org/10.1016/S0361-3682(97)00036-6
Otley, D. (2016). The contingency theory of management accounting and control: 1980–2014. Management Accounting Research, 31, 45–62. https://doi.org/10.1016/j.mar.2016.02.001
Parker, R. J., & Kyj, L. (2006). Vertical information sharing in the budgeting process. Accounting, Organizations and Society, 31(1), 27–45. https://doi.org/10.1016/j.aos.2004.07.005
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
Preacher, K. J., Rucker, D. D., & Hayes, A. F. (2007). Addressing moderated mediation hypotheses: Theory, methods, and prescriptions. Multivariate Behavioral Research, 42(1), 185–227. https://doi.org/10.1080/00273170701341316
Riketta, M. (2002). Attitudinal organizational commitment and job performance: A meta-analysis. Journal of Organizational Behavior, 23(3), 257–266. https://doi.org/10.1002/job.141
Ringle, C. M., Wende, S., & Becker, J.-M. (2015). SmartPLS 3 [Computer software]. SmartPLS GmbH. https://www.smartpls.com
Shields, J. F., & Shields, M. D. (1998). Antecedents of participative budgeting. Accounting, Organizations and Society, 23(1), 49–76. https://doi.org/10.1016/S0361-3682(97)00014-7
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. https://doi.org/10.1108/EJM-02-2019-0189
Winata, L., & Mia, L. (2005). Information technology and the performance effect of managers’ participation in budgeting: Evidence from the hotel industry. International Journal of Hospitality Management, 24(1), 21–39. https://doi.org/10.1016/j.ijhm.2004.04.006