Proposal of Performance Assessment by Integration of Two Management Tools
Abstract
Performance evaluation plays an important role in determining faults and difficulties of any company. Data envelopment analysis (DEA), as a non-parametric method, has been one of the most important and significant management tools for measuring output or efficiency. On the other side, the Balanced Scorecard (BSC) has been one of the best-known performance management tools. In this paper, we combine the BSC with the DEA method by using various interconnected models which try to sum up four perspectives of performance (financial, customers, internal processes, learning and growth). The application of these models provides structured information regarding the performance of each Decision Making Unit and ways to improve it.
Full text article
References
Amado, C., Santos, S. P., Marques, P. M., 2012. Integrating the Data Envelopment Analysis and the Balanced Scorecard approaches for enhanced performance assessment, in Omega, No. 40, pp. 390–403. DOI:10.1016/j.omega.2011.06.006.
Aryanezhad, M. B., Najafi, E., Farkoush, S. B., 2011. A BSC-DEA approach to measure the relative efficiency of service industry: A case study of banking sector, In International Journal of Industrial Engineering Computations No. 2, pp. 273–282. DOI: 10.5267/j.ijiec.2010.03.004.
Chytasa, P., Glykasb, M. and Valiris, G., 2011. A proactive balanced scorecard, In International Journal of Information Management, No. 31, pp. 460– 468. DOI: 10.1016/j.ijinfomgt.2010.12.007.
Cooper, W. W., Seiford, L. M. and Zhu, J., 2004. Data Envelopment Analysis: History, Models and Interpretations, In Handbook on Data Envelopment Analysis, Kluwer Academic Publisher, Boston, Chapter 1, pp. 1-39.
DEA, 2013. DEA Applications for measuring Efficiency: software "KonSi DEA Analysis". Available from: <http://www.dea-analysis.com/> [Accessed 15 February 2013].
Kaplan, R. S., 1983. Measuring manufacturing performance: a new challenge for managerial accounting research, The Accounting Review, Vol. 58, No. 4, pp. 686–705. Available from: <http://www.jstor.org/stable/247063> [Accessed 2 February 2013].
Kaplan, R. S. and Norton, D. P., 1992. The Balanced Scorecard – Measures that drive performance, Harvard Business Review.
Kaplan, R. S. and Norton, D. P., 1996. The Balanced Scorecard — translating strategy into action, Harvard Business Review Press.
Mandl, U., Dierx, A. and Ilzkovitz, F., 2008. The effectiveness and efficiency of public spending, In Economic Papers, pp. 3. Available from: <http://ec.europa.eu/economy_finance/publications/publication11902_en.pdf> [Accessed 2 March 2013].
Nasruddin, H., Mariam, M. T. and Parvaneh, S., 2010. Resolving Multi objectives Resource Allocation Problem Based on Inputs and Outputs Using Data Envelopment Analysis Method. In Australian Journal of Basic and Applied Sciences, Vol. 10, No. 4, ISSN 1991-8178, pp. 5320-5325.
Popovic, G. and Martic, M., 2005. Two- stage DEA use for assessing efficiency and effectiveness of micro-loan program, in Proceedings of: The 7th Balkan Conference on Operational Research, BACOR 05, Constanta, Romania, May 2005. Available from: <http://fmi.unibuc.ro/balkan-conf/CD/Section6/popovic_martic.pdf > [Accessed 2 February 2013].
Rajnoha, R. and Chromjaková, F., 2009. Activity based costing and efficiency of its application in the wooden houses production, in Drewno, Vol. 52, No. 181, ISSN 1644-3985, pp. 105-128.
Rigby, D. and Bilodeau, B., 2011. Management Tools and Trends, Available from: <http://www.loyaltyrules.com/management_tools/Management_Tools_and_Trends_2011_Final_Results.pdf> [Accessed 2 March 2012].
Vincová, K. 2005. Using DEA models to measure efficiency, in BIATEC, Vol. XIII, No. 8/2005, pp. 24-28.
Zhu, J., 2009. Quantitative Models for Performance Evaluation and Benchmarking: Data Envelopment Analysis with Spreadsheets, Springer Science +Business Media, LLC.
Authors
This is an open access journal which means that all content is freely available without charge to the user or his/her institution. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles in this journal without asking prior permission from the publisher or the author. This is in accordance with the BOAI definition of open access. This journal is licensed under a Creative Commons Attribution 4.0 License - http://creativecommons.org/licenses/by/4.0.
Authors who publish with the Quality Innovation Prosperity agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.