Mapping of Performance Measurement Models in Public Sector Organizations: a Hybrid Review
(1) Diponegoro University
(2) Diponegoro University
(*) Corresponding Author
Abstract
This study aims to map the various performance measurement models currently in use and their contribution to improving the performance of public sector organizations. This study uses a hybrid review method that combines bibliometric and literature review approaches. The bibliometric review uses Vosviewer visualization and citation counts. The Systematic Literature Review (SLR) uses the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) method, with an observation period from 2005 to 2025. This research focuses on a long-term period, enabling it to capture longitudinal trends in the development of performance measurement models. This research not only maps the models but also identifies the dominant models and analyzes their contribution to improving organizational performance. Using Publish or Perish, 200 articles were obtained from Scopus; however, only 26 articles included the compiled terms. The results of the hybrid review research show that, of the 26 articles, 18 map various performance measurement models. The most widely used model is the study named Balanced Scorecard (BSC). Some other models include the concept of value for money, the Public Sector Scorecard (PSS), and the balanced stakeholder model. The articles that met these criteria included one with the highest number of citations (94) and two with no citations. Then, 26 articles explain how various measurement models contribute to improved performance in public-sector organizations. Performance measurement models have been proven to contribute to improving the effectiveness and efficiency of public sector organizations, supporting performance-based decision-making and enhancing public accountability. This study integrates the principles of bibliometric and structured reviews to map performance measurement models and their contributions to improving the performance of public sector organizations. Theoretical implications: enrich the literature on performance measurement models through an integrative approach and demonstrate that no single model is superior. Strengthens the Balanced Scorecard's position as the dominant model, while still allowing for the development of alternative models. Practical implications: provide guidance for organizations on selecting and adapting performance measurement models that suit their needs and encourage a multi-model approach.
Keywords
Full Text:
PDFReferences
Abad, J., Cabrera, H. R., & Medina, A. (2016). An analysis of the perceived difficulties arising during the process of integrating management systems. Journal of Industrial Engineering and Management, 9(3), 860–878. https://doi.org/10.3926/jiem.1989
Ahmad, N., Naveed, A., Ahmad, S., & Butt, I. (2020). Banking sector performance, profitability, and efficiency: A citation-based systematic literature review. Journal of Economic Surveys, 34(1), 185–218. https://doi.org/10.1111/joes.12346
Arnaboldi, M., & Azzone, G. (2005). Performance measurement and change: the case of Italian new public administration. Int. J. Business Performance Management, 7(1), 1–15. https://doi.org/10.1504/IJBPM.2005.006240
Arnaboldi, M., Lapsley, I., & Steccolini, I. (2015). Performance Management in the Public Sector: The Ultimate Challenge. Financial Accountability & Management, 31(1), 1–22. https://doi.org/10.1111/faam.12049
Bae, E. (2006). Major elements and issues in performance management system: a literature review. Academy of Human Resource Development International Conference (AHRD), Columbus, 1430–1437. https://eric.ed.gov/?id=ED492860
Bahoo, S., Alon, I., & Paltrinieri, A. (2020). Corruption in international business: A review and research agenda. International Business Review, 29. https://doi.org/10.1016/j.ibusrev.2019.101660
Baird, K., Schoch, H., & Chen, Q. (James). (2012). Performance management system effectiveness in Australian local government. Pacific Accounting Review, 24(2), 161–185. https://doi.org/10.1108/01140581211258461
Balabonienė, I., & Večerskienė, G. (2015). The Aspects of Performance Measurement in Public Sector Organization. Procedia - Social and Behavioral Sciences, 213, 314–320. https://doi.org/10.1016/j.sbspro.2015.11.544
Barlage, M., van den Born, A., van Witteloostuijn, A., & Graham, L. (2014). Estimating public performance bias through an MTMM model: the case of police performance in 26 European countries. Policy Studies, 35(4), 377–396. https://doi.org/10.1080/01442872.2013.875154
Barros, R. S. (2025). Research on the balanced scorecard for government entities: a literature review. In Journal of Public Budgeting, Accounting and Financial Management. Emerald Publishing, 37(3), 415-440. https://doi.org/10.1108/JPBAFM-10-2022-0162
Bawole, J. N., & Ibrahim, M. (2016). Contesting Claims on Measuring Performance in the Public Sector Using Performance Audits: Evidence from the Literature. Public Organization Review, 16(3), 285–299. https://doi.org/10.1007/s11115-015-0312-4
Berrah, L., G. Mauris, & F. Vernadat. (2004). Information aggregation in industrial performance measurement: Rationales, issues and definitions. International Journal of Production Research, 42, 4271–4293. https://doi.org/10.1080/00207540410001716534
Betto, F., Sardi, H., Garengo, P., & Sorano, E. (2022). The evolution of balanced scorecard in healthcare: A systematic review of its design, implementation, use, and review. International Journal of Environmental Research and Public Health, 19(16). https://doi.org/10.3390/ijerph191610291
Biron, M., Farndale, E., & Paauwe, J. (2011). Performance management effectiveness: lessons from world-leading firms. The International Journal of Human Resource Management, 22(6), 1294–1311. https://doi.org/10.1080/09585192.2011.559100
Bititci, U. S., Kepa Mendibil, Sai Nudurupati, Patrizia Garengo, & Trevor Turner. (2006). Dynamics of performance measurement and organizational culture. International Journal of Operations & Production Management, 26, 1325–1350. https://doi.org/10.1108/01443570610710579
Bouckaert, G., & Halligan, J. (2008). Managing Performance: International Comparisons. Routledge, New York.
Bozeman, B., & Loveless, S. (1987). Sector Context and Performance: A Comparison of Industrial and Government Research Units. Administration & Society, 19(2). https://doi.org/10.1177/009539978701900204
Carlucci, D., Schiuma, G., & Sole, F. (2015). The adoption and implementation of performance measurement process in Italian public organizations: the influence of political, cultural and rational factors. Production Planning and Control, 26(5), 363-376. https://doi.org/10.1080/09537287.2014.906678.
Choi, I. (2020). Moving beyond mandates: Organizational learning culture, empowerment, and performance. International Journal of Public Administration, 43, 724–735. https://doi.org/10.1080/01900692.2019.1645690
Demo, G., Costa, A. C. R., & Coura, K. V. (2024). HRM practices in the public service: a measurement model. RAUSP Management Journal, 59(1), 45–61. https://doi.org/10.1108/RAUSP-01-2023-0005
DiMaggio, P., & Powell, W. W. (1983). The Iron Cage Revisited: Institutional Isomorphism and Collective Rationality in Organizational Fields. American Sociological Review, 48(2), 147–160. https://doi.org/10.17323/1726-3247-2010-1-34-56
Dollery, B., & Johnson, A. (2005). Enhancing efficiency in Australian local government: an evaluation of alternative models of municipal governance. Urban Policy and Research, 23(1), 73–85. https://doi.org/10.1080/0811114042000335278
Dooren, W. Van. (2006). Performance Measurement in the Flemish Public Sector: A Supply and Demand Approach. Katholieke Universiteit Leuven.
Dooren, W. van, Bouckaert, G., & Halligan, J. (2015). Performance management in the public sector. Routledge, New York.
Edward, A., Kumar, B., Kakar, F., Salehi, A. S., Burnham, G., & Peters, D. H. (2011). Configuring balanced scorecards for measuring health system performance: Evidence from 5 years’ evaluation in Afghanistan. PLoS Medicine, 8(7). https://doi.org/10.1371/journal.pmed.1001066
Febriyanti, D., Widianingsih, I., Sumaryana, A., & Buchari, R. A. (2024). The typology and determinant of performance measurement for public sector organizations–a literature review. Cogent Business and Management, 11(1), 1-20. https://doi.org/10.1080/23311975.2024.2315681
Franco-Santos, M., Lucianetti, L., & Bourne, M. (2012). Contemporary performance measurement systems: A review of their consequences and a framework for research. Management Accounting Research, 23, 79–119. https://doi.org/10.1016/j.mar.2012.04.001
Gabrielsson, J. (2017). Corporate governance and entrepreneurship: current states and future directions. Edward Elgar Publishing, 1-26. https://www.elgaronline.com
Gębczyńska, A., & Brajer-Marczak, R. (2020). Review of selected performance measurement models used in public administration. Administrative Sciences, 10(4), 1-20. https://doi.org/10.3390/admsci10040099
Goh, S. C. (2012). Making performance measurement systems more effective in public sector organizations. Measuring Business Excellence, 16(1), 31–42. https://doi.org/10.1108/13683041211204653
Gunarsih, T., Saleh, C., Syukron, N., & Deros, M. D. (2016). A hybrid balanced scorecard and system dynamics for measuring public sector performance. In Journal of Engineering Science and Technology Special Issue on ICE & ICIE (Vol. 11), 65-86. https://www-scopus-com.proxy.undip.ac.id/pages/publications/84965147273?origin=resultslist
Hamid, S. M. B. A., Hamali, J. B. H., & Abdullah, F. (2016). Performance Measurement for Local Authorities in Sarawak. Procedia - Social and Behavioral Sciences, 224, 437–444. https://doi.org/10.1016/j.sbspro.2016.05.416
He, Z., Peng Chen, Haitao Liu, & Zhaoxia Guo. (2017). Performance measurement system and strategies for developing low-carbon logistics: A case study in China. Journal of Cleaner Production, 156, 395–405. https://doi.org/10.1016/j.jclepro.2017.04.071
Husaeni, D. F. L., & Nandiyanto, A. B. D. (2022). Bibliometric Using Vosviewer with Publish or Perish (using Google Scholar data): From Step-by-step Processing for Users to the Practical Examples in the Analysis of Digital Learning Articles in Pre and Post Covid-19 Pandemic. ASEAN Journal of Science and Engineering, 2, 19–46. https://doi.org/10.17509/ijost.v6ix
Jarrar, Y., & Schiuma, G. (2007). Measuring performance in the public sector: Challenges and trends. Measuring Business Excellence, 11(4), 4–8. https://doi.org/10.1108/13683040710837883
Johnston, R., & Jones, P. (2004). Service productivity: towards understanding the relationship between operational and customer productivity. International Journal of Productivity and Performance Management, 53(3), 201–213. https://doi.org/10.1108/17410400410523756
Khalid, S., Beattie, C., Sands, J., & Hampson, V. (2019). Incorporating the environmental dimension into the balanced scorecard: A case study in health care. Meditari Accountancy Research, 27(4), 652–674. https://doi.org/10.1108/MEDAR-06-2018-0360
Lee, C. D. (2005). Rethinking the goals of your performance–management system. Employment Relations Today, 32(3), 53–60. https://doi.org/10.1002/ert.20075
Liberati, A., Altman, D. G., Tetzlaff, J., Mulrow, C., Gøtzsche, P. C., Ioannidis, J. P. A., Clarke, M., Devereaux, P. J., Kleijnen, J., & Moher, D. (2009). The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration. BMJ (Clinical Research Ed.), 339. https://doi.org/10.1136/bmj.b2700
Looy, A. Van, & Shafagatova, A. (2016). Business process performance measurement: a structured literature review of indicators, measures and metrics. SpringerPlus, 5(1797), 1–24. https://doi.org/DOI 10.1186/s40064-016-3498-1
Lundberg, K., Balfors, B., & Folkeson, L. (2009). Framework for environmental performance measurement in a Swedish public sector organization. Journal of Cleaner Production, 17(11), 1017–1024. https://doi.org/10.1016/j.jclepro.2009.01.011
Maestrini, V., Davide Luzzini, Paolo Maccarrone, & Federico Caniato. (2017). Supply chain performance measurement systems: A systematic review and research agenda. International Journal of Production Economics, 183, 299–315. https://doi.org/10.1016/j.ijpe.2016.11.005
Marchi, L., & Bertei, M. (2016). Performance Audit in the Public Sector. What is the contribution to the Performance Management? MANAGEMENT CONTROL, 3, 49–63. https://doi.org/10.3280/maco2016-003004
Meričková, B. M., Štrangfeldová, J., Muthová, N. J., & Štefanišinová, N. (2020). Performance measurement in public education services based on the value-for-money concept. Scientific Papers of the University of Pardubice, Series D: Faculty of Economics and Administration, 28(3), 1-11. https://doi.org/10.46585/sp28031099
Micheli, P., & Pavlov, A. (2014). The Use of Performance Information in Public Sector Organizations: How Much or What For? Academy of Management, Vol. 2014 (1). https://doi.org/10.5465/ambpp.2014.10553abstract
Mohamud, M., & Jusoh, M. (2023). Management practices and organization performance in Malaysian public sector: Construct validity using Rasch measurement model. AIP Conference Proceedings, Vol. 2544 (1). https://doi.org/10.1063/5.0132797
Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. Journal of Clinical Epidemiology, 62(10), 1006–1012. https://doi.org/10.1016/j.jclinepi.2009.06.005
Moullin, M. (2009). Public Sector Scorecard. Nursing Management, 16 (5), 26-31. https://doi.org/10.7748/nm2009.09.16.5.26.c7220
Moullin, M. (2017). Improving and evaluating performance with the Public Sector Scorecard. International Journal of Productivity and Performance Management, 66(4), 442–458. https://doi.org/10.1108/IJPPM-06-2015-0092
Moynihan, D. P. (2008). The Dynamics of Performance Management: Constructing Information and Reform. Georgetown University Press.
Ngomuo, S. I., & Wang, P. M. (2015). Measuring Performance in Public Sector Organizations: Evidence from Local Government Authorities in Tanzania. In the European Journal of Business and Management (www.iiste.org), ISSN (Vol. 7, Issue 9), 184-195. ISSN 2222-1905 (Paper) ISSN 2222-2839 (Online). www.iiste.org
Nilasari, A. P., Prihastiwi, D. A., Nurcahya, Y. A., & Retnosari. (2023). Integration of the balanced scorecard framework and analytical hierarchical procedure to determine the performance assessment model of public sector organizations. Jurnal Manajemen Dan Pemasaran Jasa, 16(1), 29–44. https://doi.org/10.25105/jmpj.v16i1.15389
Noordiatmoko, D., Anggriawan, T., & Saputra, A. E. (2023). Assessing Measurement Model Of Performance Management In Government Agencies Using SEM-PLS Analysis. Journal of Governance and Regulation, 12(4), 227–235. http://dx.doi.org/10.22495/jgrv12i4siart2
Oakes, L. S., Townley, B., & Cooper, D. J. (1998). Business planning as pedagogy: language and control in a changing institutional field. Administrative Science Quarterly, 43 (2), 257–292. https://doi.org/10.2307/2393853
Pratiwi, D. D., & Pagalung, G. (2025). Audit Quality Study of Public Sector Performance: Systematic Literature Review. Proceedings of the 9th International Conference on Accounting, Management, and Economics 2024 (ICAME 2024), Advances in Economics, Business and Management Research 331, 34-47. https://doi.org/https://doi.org/10.2991/978-94-6463-758-8_4
Prybutok, V., Zhang, X., & Peak, D. (2011). Assessing the effectiveness of the Malcolm Baldrige National Quality Award model with municipal government. Socio-Economic Planning Sciences, 45(3), 118–129. https://doi.org/10.1016/j.seps.2010.12.003
Rimkute, E., Kirstukaite, I., & Šiugždiniene, J. (2015). Public sector performance management in Lithuania: Progress and challenges implementing results-based management. Public Policy and Administration, 14(1), 9–24. https://doi.org/10.5755/j01.ppaa.14.1.11412
Roh, J. (2018). Improving the government performance management system in South Korea: Focusing on central government agencies. Asian Education and Development Studies, 7(3), 266–278. https://doi.org/10.1108/AEDS-11-2017-0112
Salvatore, F., & Fanelli, S. (2021). Indicators and criteria for efficiency and quality in public hospitals: a performance evaluation model. Global Business and Economics Review, 25(3–4), 212–230. https://doi.org/10.1504/GBER.2021.118700
Scott, W. R. (1987). The Adolescence of Institutional Theory. In Administrative Science Quarterly (Vol. 32, Issue 4), 493-511, https://doi.org/10.2307/2392880, http://www.jstor.org/about/terms.html
Siti-Nabiha, A. K., & Fuad. (2011). An analysis of the performance measurement frameworks for the public sector. Int. J. Managerial and Financial Accounting, 3(2), 127–139. https://doi.org/10.1504/IJMFA.2011.039493
Sole, F. (2009). A management model and factors driving performance in public organizations. Measuring Business Excellence, 13(4), 3–11. https://doi.org/10.1108/13683040911006747
Sole, F., & Schiuma, G. (2010). How to use different measures for different purposes: A holistic performance management model for public organizations. In Business Performance Measurement and Management: New Contexts, Themes and Challenges (pp. 103–112). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-04800-5_7
Tomaževič, N., Seljak, J., & Aristovnik, A. (2016). TQM in public administration organizations: an application of data envelopment analysis in the police service. Total Quality Management and Business Excellence, 27(11–12), 1396–1412. https://doi.org/10.1080/14783363.2015.1007861
Tomaževič, N., Tekavčič, M., & Peljhan, D. (2017). Towards excellence in public administration: organization theory-based performance management model. Total Quality Management and Business Excellence, 28(5–6), 578–599. https://doi.org/10.1080/14783363.2015.1102048
Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a methodology for developing evidence-informed management knowledge by means of systematic. British Journal of Management, 14(3), 207–222. https://doi.org/10.1111/1467-8551.00375
Usta, A. (2012). Performance management in public organizations with Balanced Scorecard: Dimensions and indicators. Amme Idaresi Dergisi, 45(1), 99–120, EID 2-s2.0-84878486256,ISSN 13001795. https://www-scopus-com.proxy.undip.ac.id/pages/publications/84878486256?origin=resultslist
Vo, D. Van, & Simmie, G. M. (2024). Assessing Scientific Inquiry: A Systematic Literature Review of Tasks, Tools and Techniques. International Journal of Science and Mathematics Education. https://doi.org/10.1007/s10763-024-10498-8
Wei, Y. (2018). Research on Performance Evaluation of Human Resources Management in Public Sector. Proceedings of the 2018 2nd International Conference on Education Science and Economic Management (ICESEM 2018), Vol.184, 814-816. https://doi.org/10.2991/icesem-18.2018.189
Zheng, Y., Wang, W., Liu, W., & Mingers, J. (2019). A performance management framework for the public sector: The balanced stakeholder model. Journal of the Operational Research Society, 70(4), 568–580. https://doi.org/10.1080/01605682.2018.1448247
Zucker, L. G. (1987). Institutional theories of organization. Annual Review of Sociology, 13, 443–464. https://www.jstor.org/stable/2083256
Article Metrics
Abstract view : 56 timesPDF - 0 times
DOI: https://doi.org/10.26714/mki.16.2.2026.184-199
Refbacks
- There are currently no refbacks.
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
![]() | MAKSIMUM: Media Akuntansi Universitas Muhammadiyah Semarang |
![]()
Maksimum: Media Akuntansi Universitas Muhammadiyah Semarang is licensed under a Creative Commons Attribution Attribution-NonCommercial-NoDerivatives 4.0 International License.
















