Performance Evaluation of Responsibility Centers in the Organization
DOI:
https://doi.org/10.37075/RP.2011.1.04Abstract
This study is aimed at elaborating conceptual, methodological and methodical fundamentals of a model for performance evaluation of responsibility centers in budgetary management of the organization. The model is based on: 1) assumption that budgetary deviations of responsibility centers have fuzzy nature in mathematical terms, and 2) complex instruments including ones of modern trends in management science and applied mathematics as management theory of measurement, the fuzzy set theory and the theory of fuzzy logic.The object of the study are responsibility centers of organizations (business and nonprofit) that operate in uncertain and stable/dynamic environment and whose budgetary deviations are described by fuzzy numbers/ fuzzy subsets. The author’s approach involves transformation of: 1) budgetary deviations described by fuzzy subsets in budgetary deviations described by fuzzy numbers and 2) qualitative scales and evaluations of inputs of the model in resulting performance evaluations of responsibility centers, which evaluations are described qualitatively and quantitatively.This study is structured in three parts. Preconditions for the subject elaboration and the author’s concept of performance evaluation of responsibility centers in budgetary management are systematized in the first part. Choice of instruments for implementation of the author’s concept is also grounded in this part. Methods for performance evaluation of responsibility centers in uncertain environment are presented in the second part. The third part illustrates an application of the author’s methodology for performance evaluation of responsibility centers. The approbation is in four variants for a cost responsibility center operating in uncertain environment. Results from the application of the methodology are analyzed as well.Results of the approbation show that the author’s methodology is applicable in practice to all organizations (business and nonprofit) for each type of environment (uncertain, stable and dynamic) and budgetary deviations of responsibility centers described by fuzzy subsets or fuzzy numbers.References
Angelov, A. (2009). Foundations of Management. Sofia: ToniT. ISBN: 978-954-91966-6-5
Beshelev, S.D. & Gurvich, F.G. (1980). Mathematical and Statistical Methods of Expert Estimations. Moscow: Statistika.
Dimitrov, Dimitar (2005). Economic Analysis of 'Cost-Benefit' in Defense and Security. Sofia: University Publishing House "Stopanstvo". ISBN: 954-494-663-2
Harizanova, M., Mirchev, M., & Mironova, N. (2006). Management. Sofia: University Publishing House "Stopanstvo". ISBN: 954-8600-24-2
Dinev, M. (1986). Control and Regulation of Economic Systems: [Research]. Sofia: Partizdat.
Zade, Lotfi (1974). Foundations of a New Approach to the Analysis of Complex Systems and Decision-Making Processes. Moscow: Znanie.
Kamenov, K. & Asenov, A. (2002). Business Controlling. Sofia: New Bulgarian University.
Kofman, A. & Alukha, Kh. Kh. (1992). Introduction to the Theory of Fuzzy Sets in Enterprise Management. Minsk: Vysshaya Shkola.
Kofman, A. & Khil-Alukha, Kh. (1993). Models for Investigating Hidden Impacts. Minsk: Vysshaya Shkola.
Lambovska, M. (2007). Budget Management of the Economic Organization. G.: Ekspres. ISBN: 978-954-8606-31-8
Lambovska, M. (2005). Model for Determining Budget Deviations of the Organization in an Uncertain Environment. Economic Alternatives, 3, 22-41.
Neely, Andy (2001). Prospects for Business Development. Sofia: Klasika i Stil. ISBN: 954-9964-09-4
Serafimov, D. & Kolarov, N. G. (1993). Four-Digit Mathematical Tables and Formulas: [For Students of Secondary Schools]. Sofia: Regalia 6. ISBN: 954-8147-12-2
Stoyanov, E. (2010). Financial Control. Burgas: Libra Skorp.
Todorova, D. (2008). Theoretical and Methodological Aspects of Cost-Benefit Analysis in the Development of an Investment Project. Scientific Conference "Youth of Bulgaria, Our European Identity and Innovative Achievements".
Harizanova, M., Kuzmanova, M., Aleksandrova-Boshnakova, M., & Mironova-Angelova, N. (2002). Management - Theory and Practice. Sofia: Neda.
Shim, J. & Siegel, J. (1998). Foundations of Commercial Budgeting. Moscow: Business Micro.
Shmerling, DS, Dubrovsky, SA, & Arzanova, TD (1977). Expert Assessments. Methods and Applications (Review). Statistical Methods of Expert Assessment Analysis, pp. 290-382.
Gil-Aluja, Jaime (2001). Handbook of Management under Uncertainty. Netherlands: Kluwer. DOI: https://doi.org/10.1007/978-1-4613-0285-8
Andronic, B. (1996). Applications of fuzzy sets in issues of economic decisions and analysis. FUZZY ECONOMIC REVIEW, 3-26. DOI: https://doi.org/10.25102/fer.2000.02.01
Anthony, R. & Welsch G. (1977). Fundamentals of Management Accounting. IRWIN.
Arikawe, A. (2011). Budget monitoring, performance evaluation and reporting. URL: http://www.budgetoffice.gov.ng/workshop%20paper/Budget%20Monitoring%20and%20Performance%20Evaluation.pdf (accessed 2011-07-06)
Benito, J. & Gento Municio, A. (1995). Planificacion agregada borrosa. II congreso internacional de gestion y economia fussy, pp. 299-314.
Bojadziev, G. & Bojadziev, M. (1997). Fuzzy logic for business, finance, and management. Singapore: "World Scientific publishing". DOI: https://doi.org/10.1142/3312
Capko, J. (2003). 5 Steps to a Performance Evaluation System. FPM, 10(3), 43-48. URL: http://www.aafp.org/fpm/2003/0300/p43.html (accessed 2011-07-01)
Carter, K. (1991). The Performance Budget Revisited: A Report on State Budget Reform. National Conference of State Legislatures.
Cassú, C., Planas, P., Ferrer, J.C., & Bonet, J. (1996). ACCUMULATED CAPITAL FOR THE RETIREMENT PLANS IN FUZZY FINANCE MATHEMATICS. Fuzzy economic review, pp. 83-92. DOI: https://doi.org/10.25102/fer.1996.01.05
Driankov, Dimiter, Hellendoorn, Hans, & Reinfrank, Michael (1996). An Introduction to Fuzzy Control. Berlin: "Springer-Verlag". DOI: https://doi.org/10.1007/978-3-662-03284-8
Gerasimos, G. (2007). Integrating performance measurement and budgeting. Organizational performance and measurement in the public sector: toward service, effort and accomplishment reporting, pp. 127-143. DOI: https://doi.org/10.5040/9798216980223.ch-006
Griffin, R. (1990). Management. Boston: Houghton Mifflin Company.
Katsamunska, P. (2007). Capacity for Policy Implementation in the Central Government of Bulgaria. Post-Communist Public Administration: Restoring Professionalism and Accountability, pp. 47-57.
A Kaufmann & J Gil Aluja (1990). Laz matematicas del azar y de la incertidumbre. Madrid: Editorial Centro de Estudios Ramon Areces. Ediciones Graficas Ortega.
Kaufmann, A. & Gil Aluja, J. (1988). Modelos para la investigacion de efectos olvidados. Vigo: Editorial Milladoiro. Pugalsa S. A.
Kaufmann, A. & Aluja, Jaime G. (1987). Tecnicas Operativas de Gestion para el Tratimiento de la incertidumbre. Barcelona: Limpergraf S.A.
Lambovska, M. (2009). A conception of general evaluation principles of the responsibility centers' budget implementation. Międzynarodową Konferencję Naukową NOWOCZESNOŚĆ PRZEMYSŁU I USŁUG, pp. 493-498.
Lee, Kwang (2005). First Course on Fuzzy Theory and Applications. Berlin: Springer-Verlag. DOI: https://doi.org/10.1007/3-540-32366-X
Libby, Th. & Lindsay, R. Murray (2011). Beyond budgeting or better budgeting? IMA members express their views. URL: http://www.allbusiness.com/management/management-theory-practice/8886905-1.html (accessed 2011-06-11)
Lucey, T. (1991). Management Accounting. London: DP Publications.
Methods of Budgeting. (2011). Northern Ireland Assembly. URL: http://www.niassembly.gov.uk/researchandlibrary/2010/0610.pdf (accessed 2011-07-21)
Rangelova, L. (2005). Accounting in the context of establishing modern managerial information systems in Bulgarian commercial banks. Procesi integracije u Europi - Ekonomske Teme.
Shah, Anwar (2007). Budgeting and Budgetary Institutions. Washington: World Bank. DOI: https://doi.org/10.1596/978-0-8213-6939-5
O Simeonov & M Lambovska (2010). Control over threats. Zilina: "Georg".
Zimmermann, H.-J. (2001). Fuzzy Set Theory—and Its Applications. Boston/Dordrecht/London: "Kluwer Academic Publishers". DOI: https://doi.org/10.1007/978-94-010-0646-0
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