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Three-Stage Data Envelopment Analysis as a Tool for Nurse Leader Performance Appraisals

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  • Janko Seljak
  • Andreja Kvas

Abstract

As in other sectors, increasingly higher performance and efficiency are also being required from health care employees. To achieve this goal, every health care organization should have a suitable human resource management system. The selection, education, training, effective performance appraisal, and evaluation of leaders are particularly of key importance for every organization. Data envelopment analysis (DEA) is used in this study to develop a model of practice outputs and inputs to help identify the most efficient nurse leaders. The employees’ performance appraisals are often closely related to their specific organizations. As leaders’ behaviors are also influenced by external, non-discretionary factors, the three-stage DEA was used to include inputs not controlled by individual leaders. This article proposes a performance appraisal based on competency models of leadership for a larger professional group working across several different organizations, yet in similar professional and institutional environments. The empirical data in this article are based on two surveys that were conducted in 15 Slovenian public hospitals.

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  • Janko Seljak & Andreja Kvas, 2015. "Three-Stage Data Envelopment Analysis as a Tool for Nurse Leader Performance Appraisals," SAGE Open, , vol. 5(1), pages 21582440155, March.
    • Handle: RePEc:sae:sagope:v:5:y:2015:i:1:p:2158244015577666
    DOI: 10.1177/2158244015577666
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    References listed on IDEAS

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    1. William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), 2011. "Handbook on Data Envelopment Analysis," International Series in Operations Research and Management Science, Springer, number 978-1-4419-6151-8, April.
    2. Ruggiero, John, 1998. "Non-discretionary inputs in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 111(3), pages 461-469, December.
    3. Joe Sarkis, 2007. "Preparing Your Data for DEA," Springer Books, in: Joe Zhu & Wade D. Cook (ed.), Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis, chapter 0, pages 305-320, Springer.
    4. Josef Jablonsky, 2012. "Multicriteria approaches for ranking of efficient units in DEA models," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 20(3), pages 435-449, September.
    5. Jon A. Chilingerian & H. David Sherman, 2011. "Health-Care Applications: From Hospitals to Physicians, from Productive Efficiency to Quality Frontiers," International Series in Operations Research & Management Science, in: William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), Handbook on Data Envelopment Analysis, chapter 0, pages 445-493, Springer.
    6. Robert Rosenman & Daniel Friesner, 2004. "Scope and scale inefficiencies in physician practices," Health Economics, John Wiley & Sons, Ltd., vol. 13(11), pages 1091-1116, November.
    7. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    8. Giulia Garavaglia & Emanuele Lettieri & Tommaso Agasisti & Silvano Lopez, 2011. "Efficiency and quality of care in nursing homes: an Italian case study," Health Care Management Science, Springer, vol. 14(1), pages 22-35, March.
    9. Wade D. Cook & Joe Zhu, 2007. "Data Irregularities And Structural Complexities In Dea," Springer Books, in: Joe Zhu & Wade D. Cook (ed.), Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis, chapter 0, pages 1-11, Springer.
    10. Shiva Prasad H. C. & Damodar Suar & Roman Taraban, 2014. "Antecedents and Moderators of Software Professionals’ Performance," SAGE Open, , vol. 4(1), pages 21582440145, February.
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