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Benchmarking of contributory organisations within the framework of technical efficiency

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Organisations should evaluate their goals in the areas of customer service provision, overall organisational strategy, finance, and human resource management. The performance of specific services provided to the client should be monitored and evaluated in greater detail. The comparison should be made between similar organisations aiming to improve services and technical efficiency. Most organisations, profit and non-profit alike, do not know how to evaluate and compare their efficiency. Retirement homes were selected for evaluation. The review focused on the technical efficiency for the years 2015-2017. To achieve the goal, Data Envelopment Analysis (DEA) was used as a specialised model tool for assessing the technical efficiency, performance or productivity of a group of homogeneous or comparable production units based on selected inputs and outputs. Due to different types of inputs and outputs, the method was selected from among multi-criteria decision-making methods. Two models, Model X and Model Y, including specific inputs and outputs, were designed to evaluate and compare the technical efficiency of selected retirement homes. According to the results, the output-oriented model (Model Y) was more effective for retirement homes compared to the input-oriented model (Model X). The value added could be seen in the model combination and comparison between different studies, which helps to understand the transferability of the results. The analysis confirmed the necessity to combine the DEA method with the quality of service assessment to be able to benchmark the real efficiency of service of a selected type of an organisation.
Rocznik
Strony
80--91
Opis fizyczny
Bibliogr. 36 poz., tab.
Twórcy
  • Silesian University in Opava, Czech Republic
  • Silesian University in Opava, Czech Republic
Bibliografia
  • Bittencourt, O., Verter, V., & Yalovsky, M. (2018). Hospital capacity management based on the queueing theory. International Journal of Productivity and Performance Management, 67(2), 224-238. doi: 10.1108/IJPPM12-2015-0193
  • Björkgren, M.A., Häkkinen, U., & Linna, M. (2001). Measuring efficiency of long-term care units in Finland. Health Care Management Science, 4(3), 193-200.
  • Borůvková, J., & Kuncová, M. (2012). Porovnání očních oddělení nemocnic Kraje Vysočina pomocí DEA modelů. [Comparison of The Ophthalmology Departments of The Vysocina Region Hospitals Using DEA Models]. Acta Oeconomica Pragensia, 12(5), 75-84.
  • Bottani, E., Gentilotti, M.C., & Rinaldi, M. (2017). A Fuzzy Logic-Based Tool for the Assessment of Corporate Sustainability: A Case Study in the Food Machinery Industry. Sustainability, 9(4), 1-29. doi: 10.3390/su904058
  • Chodakowska, E., & Nazarko, J. (2016). The models evaluating courier and messenger companies in Poland. Economics and Management, 8(4), 50-58.
  • Chodakowska, E., & Nazarko, J. (2017). Environmental DEA method for assessing productivity of European countries. Technological and Economic Development of Economy, 23(4), 589-607. doi: http://dx.doi.org/10.3846/20294913.2016.1272069
  • Djukic, A., & Maric, J. (2017). Towards socially sustainable healthcare facilities – the role of evidence-based design in regeneration of existing hospitals in Serbia. Sustainable Synergies from Buildings to the Urban Scale, 38, 256-263. doi: 10.1016/j.proenv.2017.03.070
  • Dlouhý, M., Novosadová, I., & Jablonský, J. (2007). Využití analýzy obalu dat pro hodnocení efektivnosti českých nemocnic [Use of Data Envelopment Analysis for Efficiency Evaluation of Czech Hospitals]. Politická ekonomie, 1, 60-71.
  • Dooren, W., Bouckaert, G., & Halligan, J. (2010). Performance Management in the Public Sector. New York, United States: Routledge.
  • Franek, J., & Kashi, K. (2017). Application of hybrid MADM methods for performance evaluation in manufacturing. Forum Scientiae Oeconomia, 5(2), 41-54. doi: 10.23762/fso_vol5no2_17_4
  • Garavaglia, G., Lettieri, E., Agasisti, T., & Lopez, S. (2011). Efficiency and quality of care in nursing homes: an Italian case study. Health Care Management Science, 14(1), 22-35.
  • Herrera, C.A., Lewin, S., Paulsen, E., Ciapponi, A., Opiyo, N., Pantoja, T., Rada, G., Wiysonge, C.S., Bastias, G., & Marti, S.G. (2017). Governance arrangements for health systems in low-income countries: an overview of systematic reviews. Cochrane Database of Systematic Reviews, 9,1-10. doi: 10.1002/14651858.CD011085.pub2
  • Kaczmarek, J. (2014). Measurement of Creating Corporate Value for Shareholders – Development of Measurements And Improvement Of Management Competence And Skills. Polish Journal of Management Studies, 10(9), 72-83.
  • Kasthurirathne, S.N., Vest, J.R., Menachemi, N., Hlaverson, P.K., & Grannis, S.J. (2018). Assessing the capacity of social determinants of health data to augment predictive models identifying patients in need of wraparound social services. Journal of the American Medical Informatics Association, 25(1), 47-53. doi: 10.1093/jamia/ocx130
  • van der Kooy, J., Birnie, E., Valentine, N.B., de Graaf, J.P., Denktas, S., Steegers, E.A.P., & Bonsel, G.J. (2017). Quality of perinatal care services from the user´s perspective: a Dutch study applies the World Health Organization´s responsiveness concept. BMC Pregnancy and Childbirth, 17(327), 1-11. doi: 10.1186/s12884-017-1464-8
  • Lepir, L., Scepovic, D., & Radonjic, A.R. (2017). Challenges of human resource management in the institutions for care of elderly people. IOP Conference Series: Materials Science and Engineering, 200, 1-7. doi: 10.1088/1757-899X/200/1/012030
  • Liu, J.S., Lu L. Y.Y., Lu W.-M., & Lin, B.J.Y. (2013). A survey of DEA applications. Omega, 41(5), 893-902. doi: 10.1016/j.omega.2012.11.004
  • Lotfi, F.H., Sadjadi, S.J., Khaki, A., & Najafi, E. (2010). A combined interval net DEA and BSC for evaluating organizational efficiency. Applied Mathematical Sciences, 4(36-39), 1975-1999.
  • Luasa, S., Declan, D., & Zieba, M. (2018). Technical and scale efficiency in public and private Irish nursing homes – a bootstrap DEA approach. Health Care Management Science, 21(3), 326-347. doi: 10.1007/s10729-016-9389-8
  • Malíková, E. (2011). Péče o seniory v pohybových sociálních zařízeních. [Senior Care in Social Centres]. Praha, Czech Republic: Grada Publishing.
  • Maslihatin, T. (2016). Balanced scorecard: Performance measurement for e-government. Journal of Theoretical and Applied Information Technology, 90(2), 116-123.
  • Matoušek, O., Koldinská, K., & Průša, L. (2007). Sociální služby [Social Services]. Praha, Czech Republic: Portál.
  • Meyer, D.F. (2018). Predictors of good governance and effective government management: the case of Poland. Polish Journal of Management Studies, 18(1), 206-217. doi: 10.17512/pjms.2018.18.1.16
  • Meza-Ruiz, I.D., Rocha-Lona, L., Soto-Flores, M.D., Garza-Reyes, J.A., Kumar, V., & Lopez-Torres, G.C. (2017). Measuring Business Sustainability MaturityLevels and Best Practices. Procedia Manufacturing, 11, 751-759. doi: 10.1016/j.promfg.2017.07.176
  • Mook, L. (2014). An integrated social accounting model for nonprofit organizations. Advances in Public Interest Accounting, 17, 197-221. doi: 10.1108/S1041-706020140000017008
  • Moullin, M. (2017). Improving and evaluating performance with the Public Sector Scorecard. International Journal of Productivity and Performance Management, 66(4), 442-458. doi: 10.1108/IJPPM-06-2015-0092
  • Nazarko, J., & Šaparauskas, J. (2014). Application of DEA method in efficiency evaluation of public higher education institutions. Technological and Economic Development of Economy, 20(1), 1-20. doi:10.3846/20294913.2014.837116
  • Raifman, J., Lam, F., Keller, J.M., Radunsky, A., & Savedoff, W. (2018). How well are aid agencies evaluating programs? An assessment of the quality of global health evaluations. Journal of Development Effectiveness, 10(2), 277-289. doi: 10.1080/19439342.2018.1452779
  • Sousa-Zomer, T.T., & Miguel, P.A.C. (2018). The main challenges for social life cycle assessment (SLCA) to support the social impacts analysis of product-service systems. International Journal of Life Cycle Assessment, 23(3), 607-616. doi: 10.1007/s11367-015-1010-8
  • Tan, Y., Zhang, Y., & Khodaverdi, R. (2017). Service performance evaluation data envelopment analysis and balanced scorecard approach: an application to automotive industry. Annals of Operations Research, 248(1-2), 449-470. doi: 10.1007/s10479-016-2196-2
  • Toloo, M. (2014). Data Envelopment Analysis with Selected Models and Applications. Ostrava, Czech Republic: VŠB-TU Ostrava.
  • Vaňková, I., & Vrabková, I. (2014). The factors influencing economic efficiency of the hospital bed care in terms of the regional allowance organizations. Review of Economic Perspectives, 14(3), 233-248.
  • Ventura, M., Fusco, D., Bontempi, K., Colais, P., & Davoli, M. (2018). Regional Outcome Evaluation Program (P.Re.Val.E.): Reduction of inequality in access to effective health care in the Lazio region in Italy (2012-2015). PLOS ONE, 13(3), 1-14. doi: 10.1371/journal.pone.0194972
  • Wagner, J. (2009). Měření výkonnosti [Performance measurement]. Praha, Czech Republic: Grada Publishing.
  • Zákon o rozpočtových pravidlech územních rozpočtů [Act on Budgetary Rules of Territorial Budgets] 250/2000 (CZ).
  • Zemke, D.M.V., Raab, C., & Wu, K.Y. (2018). How does hotel design contribute to property performance? International Journal of Contemporary Hospitality Management, 30(2), 919-938. doi: 10.1108/IJCHM-06-2016-0330
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-500d59cc-7559-484b-860b-1cc2a6b42444
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