Integrated performance measurement system for Slovak heating industry: A balanced scorecard approach
-
DOIhttp://dx.doi.org/10.21511/ppm.21(3).2023.32
-
Article InfoVolume 21 2023, Issue #3, pp. 393-407
- Cited by
- 386 Views
-
157 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
The prerequisite for businesses’ success, competitiveness, and non-bankruptcy is their performance. An effective performance measurement system is a suitable tool for measuring and improving business performance. The development in performance measures moved from financial measures focused on company profitability to measurement systems combining different methods, approaches, and tools. The paper aims to identify key performance indicators for Slovak heating companies based on the developed integrated performance measurement system. The analysis sampled 292 Slovak companies within SK NACE 35 (heating industry). The performance measurement system was built on balanced scorecard principles, while the least absolute shrinkage and selection operator (Lasso regression) method was used to select financial indicators. Based on the combination of the above methods, a performance measurement system framework for the analyzed sample of businesses was created. The results show that when managing performance, the analyzed businesses should focus on the following financial performance indicators: Receivables turnover ratio, Return on equity, Return on costs, Total debt to total assets, Material intensity, Labor to revenue ratio, Netto cash flow to assets, Net working capital to total assets, and Short-term liabilities to assets. When building performance measurement system based on balanced scorecard principles, financial indicators were supplemented by non-financial ones. In addition to the original balanced scorecard principles, the performance measurement system was extended by environmental constituents. Also, the paper’s deliverable combines Lasso regression and balanced scorecard principles in order to select key performance indices.
Acknowledgment
This paper is prepared within the grant scheme VEGA No. 1/0741/20 (the application of variant methods in detecting symptoms of possible bankruptcy of Slovak businesses in order to ensure their sustainable development).
- Keywords
-
JEL Classification (Paper profile tab)M11, M21, D24, D20
-
References95
-
Tables5
-
Figures1
-
- Figure 1. Strategy management map as a platform for building performance management system
-
- Table 1. Formulas for the indicator’s calculation
- Table 2. Formulas for EVA indicator calculation
- Table 3. Descriptive statistics for the analyzed businesses
- Table 4. Results of the EVA indicator
- Table 5. Indicators selected with the use of Lasso regression
-
- Ali, M. R. M. (2019). Balanced scorecard development over the last 26 years. Journal of Business and Management, 21(1), 13-16.
- AOSR. (2013). Fungovanie a problémy v sektore tepelného hospodárstva v SR so zameraním na systémy CZT z pohľadu Protimonopolného úradu SR [Functioning and problems in the heat management sector in the Slovak Republic with a focus on local central heat supply systems from the perspective of the Antimonopoly Office of the Slovak Republic]. (In Slovak).
- Azar, A., & Safari, S. (2021). Modelling business excellence through data envelopment analysis (DEA). Management Research in Iran, 8(33), 111-238.
- Barroso, R., Burkert, M., Dávila, A., Oyon, D., & Schuhmacher, K. (2016). The moderating role of performance measurement system sophistication on the relationships between internal value drivers and performance. Accounting, Auditing, Control, 22(2), 39-75.
- Bayaraa, B., Tarnoczi, T., & Fenyves, V. (2020). Corporate performance measurement using an integrated approach: A Mongolian case. Montenegrin Journal of Economics, 16(4), 123-134.
- Behery, M., Jabeen, F., & Parakandi, M. (2014). Adopting a contemporary performance management system: A fast-growth small-to-medium enterprise (FGSME) in the UAE. International Journal of Productivity and Performance Management, 63(1), 22-43.
- Bititci, U. S., Carrie, A. S., & McDevitt, L. (1997). Integrated performance measurement systems: A development guide. International Journal of Operations & Production Management, 17(5), 522-534.
- Bititci, U. S., Garengo, P., Döefler, V., & Nudurupati, S. (2012). Performance measurement: Challenges for tomorrow. International Journal of Management Reviews, 14(3), 305-327.
- Bourne, M., Mills, J., Wilcox, M., Neely, A., & Platts, K. (2000). Designing, implementing and updating performance measurement systems. International Journal of Operations & Production Management, 20(7), 754-771.
- Bourne, M., Neely, A., Mills, J., & Platts, K. (2003). Implementing performance measurement systems: A literature review. International Journal of Business Performance Management, 5(1), 1-24.
- Brignall, T. J., Fitzgerald, L., Johnston, R., & Silvestro, R. (1991). Performance measurement in service businesses. Management Accounting, 69(10).
- Cao, Y., Liu, X., Zhai, J., & Hua, S. (2022). A two-stage Bayesian network model for corporate bankruptcy prediction. International Journal of Finance & Economics, 27(1), 455-472.
- CRIF. (2022). Financial statements of analyzed businesses. Bratislava: Slovak Credit Bureau, s.r.o.
- da Silva, F. A., & Borsato, M. (2017). Organizational performance and indicators: Trends and opportunities. Procedia Manufacturing, 11, 1925-1932.
- Das, P. K. (2019). Impact of balanced scorecard implementation on corporate performance. American Journal of Humanities and Social Sciences, 17(1), 1-9.
- Geuser, F., Mooraj, S., & Oyon, D. (2009). Does the balanced scorecard add value? Empirical evidence on its effect on performance. European Accounting Review, 18(1), 93-122.
- De Toni, A., & Tonchia, S. (2001). Performance measurement systems – Models, characteristics and measures. International Journal of Operations & Production Management, 21(1/2), 46-71.
- Debdas, R. (2006). EVA based performance measurement: A case study of Dabur India Limited. Vidyasagar University Journal of Commerce, 11, 39-59.
- Drucker, P. F. (1954). The practice of management. New York: Harper.
- Dumitrescu, L., & Fuciu, M. (2009). Balanced scorecard – A new tool for strategic management. Bulletin Scientific, 28(2), 37-42.
- Epstein, M. J. (1996). Measuring corporate environmental performance: Best practices for costing and managing an effective environmental strategy. Chicago, IL: Irwin.
- Farooq, A., & Hussain, Z. (2011). Balanced scorecard perspective on change and performance: A study of selected Indian companies. Procedia – Social and Behavioral Sciences, 24, 754-768.
- Figge, F., Hahn, T., Schaltegger, S., & Wagner, M. (2002). The sustainability balanced scorecard – Linking sustainability management to business strategy. Business Strategy and the Environment, 11(5), 269-284.
- Fonti, V., & Belitser, E. (2017). Feature selection using LASSO (Research Paper in Business Analytics). Vrije Universiteit Amsterdam.
- Fooladvand, M., Yarmohammadian, M. H., & Shahtalebi, S. (2015). The application strategic planning and balance scorecard modelling in enhance of higher education. Procedia – Social and Behavioral Sciences, 186, 950-954.
- Franco-Santos, M., Kennerley, M., Micheli, P., Martinez, V., Mason, S., Marr, B., Gray, D., & Neely, A. (2007). Towards a definition of a business performance measurement system. International Journal of Operations & Production Management, 27(8), 784-801.
- Geng, S., Liu, S., & Liao, X. (2021). Operating performance of tourism listed companies in China: The perspective of economic value added. SAGE Open, 11(1).
- Gosselin, M. (2005). An empirical study of performance measurement in manufacturing firms. International Journal of Productivity and Performance Management, 54(5/6), 419-437.
- Guru, S., & Mahalik, D. K. (2019). A comparative study on performance measurement of Indian public sector banks using AHP-TOPSIS and AHP-grey relational analysis. Operational Research Society of India, 56(4), 1213-1239.
- Gutierrez, D. M., Scavarda, L. F., Fiorencio, L., & Martins, R. A. (2015). Evolution of the performance measurement system in the logistics department of a broadcasting company: An action research. International Journal of Production Economics, 160, 1-12.
- Hastie, T., Tibshirani, R., & Friedman, J. (2009). The elements of statistical learning: Data mining, inference, and prediction (2nd ed.). Springer.
- Hegazy, M., & Hegazy, S. (2012). The development of key financial performance indicators for U.K construction companies. Accounting, Accountability & Performance, 17(1&2), 49-77.
- Heinz, A. (2001). Applying the balanced scorecard concept: An experience report. Long Range Planning, 34(4), 441-461.
- Horváthová, J., & Mokrišová, M. (2021). Creating performance measurement system with the application of balanced scorecard. In P. Doucek, G. Chroust, & V. Oškrdal (Eds.), IDIMT 2021 – Pandemics: Impacts, Strategies and Responses. 29th Interdisciplinary Information Management Talks (pp. 367-374). Kutná Hora, Czech Republic.
- Horváthová, J., & Suhányiová, A. (2012). Balanced scorecard – Nástroj riadenia podnikov a ich udržateľnosti v čase krízy [Balanced scorecard – A tool for managing companies and their sustainability in times of crisis]. In S. Ferenčíková, H. Hansenová, J. Hvorecký, M. Tajtáková, M. Šestáková, J. Šimúth, & J. Palenčárová (Eds.), Management Challenges in the 21th century, sustainability: A moving target? (pp. 232-247). Trenčín: City University. (In Slovak).
- Horváthová, J., Mokrišová, M., & Suhányiová, A. (2013). Hodnotenie výkonnosti podniku s využitím creditworthy modelu [Business performance evaluation using creditworthy model]. Prešov: Bookman, spol. s.r.o. (In Slovak).
- Hsu, Y.-L., & Liu, Ch.-Ch. (2010). Environmental performance evaluation and strategy management using balanced scorecard. Environmental Monitoring and Assessment, 170, 599-607.
- İç, Y. T., & Yurdakul, M. (2021). Development of a new trapezoidal fuzzy AHP-TOPSIS hybrid approach for manufacturing firm performance measurement. Granular Computing, 6, 915-929.
- Johnson, H. T., & Kaplan, R. S. (1987). Relevance lost: The rise and fall of management. Boston: Harvard Business School Press Accounting.
- Kaplan, R. S., & Norton, D. P. (1992). The balanced scorecard: Measures that drive performance. Harvard Business Review, 70(1), 71-79.
- Kaplan, R. S., & Norton, D. P. (1996). The balanced scorecard. Translating strategy into action. Boston: Harvard Business School Press.
- Kaplan, R. S., & Norton, D. P. (2001). The strategy-focused organization. Strategy & Leadership, 29(3).
- Karpagam, P. L. U., & Suganthi, L. (2013). Performance measurement of organisations: A review of balanced scorecard technique. International Journal of Business Performance Management, 14(2), 129-148.
- Keegan, D. P., Eiler, R. G., & Jones, Ch. R. (1989). Are your performance measures obsolete? Management Accounting, 70(12), 45-50.
- Keong Choong, K. (2013). Understanding the features of performance measurement system: A literature review. Measuring Business Excellence, 17(4), 102-121.
- Keong Choong, K. (2014). The fundamentals of performance measurement systems: A systematic approach to theory and a research agenda. International Journal of Productivity and Performance Management, 63(7), 879-922.
- Khanmohammadi, E., Safari, H., Zandieh, M., Malmir, B., & Tirkolaee E. B. (2022). Development of dynamic balanced scorecard using case-based reasoning method and adaptive neuro-fuzzy inference system. IEEE Transactions on Engineering Management.
- Kraus, K., & Lind, J. (2010). The impact of the corporate balanced scorecard on corporate control – A research note. Management Accounting Research, 21(4), 265-277.
- Krivokapić, J., & Jovanović, J. (2009). Using balanced scorecard to improve environmental management system. Journal of Mechanical Engineering, 55(4), 262-271.
- Krstić, B., Sekulić, V., & Ivanović, V. (2015). How to apply the sustainability balanced scorecard concept. Economic Themes, 52(1), 65-80.
- Kucukaltan, B., Irani, Z., & Aktas, E. (2016). A decision support model for identification and prioritization of key performance indicators in the logistics industry. Computers in Human Behavior, 65, 346-358.
- Kumar, S., Attri, S. D., & Singh, K. K. (2019). Comparison of Lasso and stepwise regression technique for wheat yield prediction. Journal of Agrometeorology, 21(2), 188-192.
- Lee, S., Costello, F. J., & Lee, K. Ch. (2021). Hierarchical balanced scorecard-based organizational goals and the efficiency of controls processes. Journal of Business Research, 132, 270-288.
- Lesáková, Ľ. (2004). Metódy hodnotenia výkonnosti malých a stredných podnikov [Methods for evaluating the performance of small and medium businesses]. Banská Bystrica: Matej Bel University. (In Slovak).
- Lynch, R. L., & Cross, K. F. (1991). Measure up! Yardsticks for continuous improvement. Oxford: Blackwell.
- Madsen, D. Ø., & Stenheim, T. (2015). The balanced scorecard: A review of five research areas. American Journal of Management, 15(2), 24-41.
- Mařík, M., & Maříková, P. (2005). Moderní metody hodnocení výkonnosti a oceňování podniku: Ekonomická přidaná hodnota, tržní přidaná hodnota, CF ROI [Modern methods of performance evaluation and business valuation: Economic value added, market value added, CF ROI] (2nd ed.). Prague: Ekopress. (In Czech).
- Meng, J., Zhang, J., Xiu, Y., Jin, Y., Xiang, J., Nie, Y., Fu, S., & Zhao, K. (2018). Prognostic value of an immunohistochemical signature in patients with esophageal squamous cell. Molecular Oncology, 12(2), 196-207.
- Mikušová, M., & Janečková, V. (2010). Developing and implementing successful key performance indicators. World Academy of Science, Engineering and Technology, 42, 969-981.
- Mokrišová, M., & Horváthová, J. (2021). The creation of a financial management map for business performance improvement. Proceedings of the 10th International Conference on Management and Economics (pp. 105-116) Matara: University of Ruhuna.
- Mooraj, S., Oyon, D., & Hostettler, D. (1999). The balanced scorecard: A necessary good or unnecessary evil? European Management Journal, 17(5), 481-491.
- Nastasiea, M., & Mironeasa, C. (2016). Key performance indicators in small and medium sized enterprises. TEHNOMUS – New Technologies and Products in Machine Manufacturing Technologies.
- Neely, A. (1999). The performance measurement revolution: Why now and what next? International Journal of Operations & Production Management, 19(2), 205-228.
- Neely, A. (2005). The evolution of performance measurement research: Developments in the last decade and a research agenda for the next. International Journal of Operations & Production Management, 25(12), 1264-1277.
- Neely, A., Gregory, M., & Platts, K. (1995). Performance measurement system design: A literature review and research agenda. International Journal of Operations & Production Management, 15(4), 80-116.
- Neely, A., Marr, B., Roos, G., Pike, S., & Gupta, O. (2003). Towards the third generation of performance measurement. Controlling, 15(3-4), 129-136.
- Neely, A., Mills, J., Platts, K., Gregory, M., & Richards, H. (1996). Performance measurement system design: Should process based approaches be adopted? International Journal of Production Economics, 46-47, 423-431.
- Neumaierová, I., & Neumaier, I. (2002). Výkonnost a tržní hodnota firmy [Performance and market value of the company]. Prague: Grada Publishing. (In Czech).
- Nguyen, Y-H., & Luu, Q. C. (2021). Performance measurement of Vietnamese publishing firms by the integration of the GM (1,1) model and the Malmquist model. Business Systems Research Journal, 12(1), 17-33.
- Nudurupati, S. S., Bititci, U. S., Kumar, V., & Chan, F. T. S. (2011). State of the art literature review on performance measurement. Computers and Industrial Engineering, 60(2), 279-290.
- Oukhay, F., & Romdhane, T. B. (2022). A decision support framework based on FCM for selecting key performance indicators. Proceedings of the 5th International Conference on Advanced Systems and Emergent Technologies (pp. 97-102). Hammamet, Tunisia.
- Paraschiv, F., Schmid, M., & Wahlstrøm, R. R. (2021). Bankruptcy prediction of privately held SMEs using feature selection methods. SSRN Electronic Journal.
- Peng, Y., & Zhou, L. (2011). A performance measurement system based on BSC. In M. Zhu (Ed.), Information and Management Engineering (pp. 309-315). Springer.
- Pereira, J. M., Basto, M., & Ferreira da Silva, A. (2016). The logistic Lasso and Ridge regression in predicting corporate failure. Procedia Economics and Finance, 39, 634-641.
- Rapach, D. E., Strauss, J. K., & Zhou, G. (2013). International stockreturn predictability: What is the role of the United States? The Journal of Finance, 68(4), 1633-1662.
- Robinson, H. S., Anumba, C. J., Carrillo, P. M., & Al-Ghassani, A. M. (2005). Business performance measurement practices in construction engineering organisations. Measuring Business Excellence, 9(1), 13-22.
- Rosová, A., & Balog, M. (2012). Traditional and modern methods and approaches to the evaluation of company performance. Proceedings of the Carpathian Logistics Congress. Jeseník, Czech Republic.
- Sainaghi, R., Phillips, P., & Corti, V. (2013). Measuring hotel performance: Using a balanced scorecard perspectives’ approach. International Journal of Hospitality Management, 34, 150-159.
- Shutibhinyo, W. (2012). An exploratory study of balanced scorecard practices: Preliminary evidence from Thailand. Asia-Pacific Management Accounting Journal, 7(1).
- Silvi, R., Bartolini, M., Raffoni, A., & Visani, F. (2015). The practice of strategic performance measurement systems: Models, drivers and information effectiveness. International Journal of Productivity and Performance Management, 64(2), 194-227.
- Singh, R. K., & Arora, S. S. (2018). The adoption of balanced scorecard: An exploration of its antecedents and consequences. Benchmarking: An International Journal, 25(3), 874-892.
- Soderberg, M., Kalagnanam, S., Sheehan, N.T., & Vaidyanathan, G. (2011). When is a balanced scorecard a balanced scorecard? International Journal of Productivity and Performance Management, 60(7), 688-708.
- Song, X. (2022). Application of balanced scorecard in performance management and evaluation of listed companies. Discrete Dynamics in Nature and Society, 2022, 2247890.
- Strelnik, E. U., Usanova, D. S., & Khairullin, I. G. (2015). Key performance indicators in corporate finance. Asian Social Science, 11(11), 369-373.
- Tian, S., Yu, Y., & Guo, H. (2015). Variable selection and corporate bankruptcy forecasts. Journal of Banking & Finance, 52, 89-100.
- Tuan, T. T. (2020). The impact of balanced scorecard on performance: The case of Vietnamese commercial banks. Journal of Asian Finance, Economics and Business, 7(1), 71-79.
- Tudose, M. B., Rusu, V. D., & Avasilcai, S. (2021). Performance management for growth: A framework based on EVA. Journal of Risk and Financial Management, 14(3), 102.
- Vadovský, M., Paralič, J., & Gross, A. (2018). Spracovanie a analýza dát z mobilnej aplikácie na sledovanie kognitívnych príznakov Parkinsonovej choroby [Processing and analysis of data from a mobile application to monitor the cognitive symptoms of Parkinson’s disease]. In J. Šaliga & E. Pietriková (Eds.), Electrical Engineering and Informatics IX (pp.353-358). Faculty of Electrical Engineering and Informatics. (In Slovak).
- Valmohammadi, C., & Servati, A. (2011). Performance measurement system implementation using balanced scorecard and statistical methods. International Journal of Productivity and Performance Management, 60(5), 493-511.
- Verevka, T. (2018). Key performance indicators of high-tech enterprises. SHS Web of Conferences, 44, 00077.
- Vilanova, M. R. N., Filho, P. M., & Balestieri, J. A. P. (2015). Performance measurement and indicators for water supply management: Review and international cases. Renewable and Sustainable Energy Reviews, 43, 1-12.
- Vochozka, M., Jelínek, J., Váchal, J., Straková, J., & Stehel, V. (2017). Využití neuronových sítí při komplexním hodnocení podniků [The use of neural networks in comprehensive business evaluation]. Praha: C. H. Beck. (In Czech).
- Wu, H-Y., Lin, Y-K., & Chang, C-H. (2011). Performance evaluation of extension education centers in universities based on the balanced scorecard. Evaluation and Program Planning, 34(1), 37-50.
- Zare, H., Tavana, M., Mardani, A., Masoudian, S., & Saraji, M. K. (2019). A hybrid data envelopment analysis and game theory model for performance measurement in healthcare. Health Care Management Science, 22, 475-488.
- Zhou, L., Lu, D., & Fujita, H. (2015). The performance of corporate financial distress prediction models with features selection guided by domain knowledge and data mining approaches. Knowledge-Based Systems, 85, 52-61.