Extended Performance Evaluation Based on DEA
A Multidimensional Point of View
Summary
Excerpt
Table Of Contents
- Cover
- Title
- Copyright
- About the author
- About the book
- This eBook can be cited
- Acknowledgments
- Table of contents
- List of figures
- List of tables
- List of abbreviations
- List of symbols
- 1 Introduction
- 1.1 Motivation and contribution of the dissertation
- 1.2 Structure of the dissertation
- 2 Conceptual framework for performance evaluation based on DEA
- 2.1 Introduction of key concepts and terms
- 2.1.1 Performance: an ambiguous term
- 2.1.2 From performance measurement to performance evaluation
- 2.1.3 Performance management: an umbrella concept
- 2.2 Data envelopment analysis (DEA)
- 2.2.1 Introduction of DEA
- 2.2.2 DEA models
- 2.2.3 Strengths and limitations of DEA
- 2.2.4 Procedure for a DEA application
- 2.3 Performance evaluation based on DEA
- 2.3.1 Performance evaluation process (PEP)
- 2.3.2 Integration of DEA application procedure into PEP
- 2.3.3 Potential for methodological developments of performance evaluation based on DEA
- 2.4 Conclusion and discussion
- 3 Evaluation of relative effectiveness
- 3.1 Effectiveness of organizations: putting the conceptual disarray in order
- 3.1.1 Evolution of organizational effectiveness
- 3.1.2 Major theoretical approaches to organizational effectiveness
- 3.1.3 Effectiveness vs. efficiency
- 3.2 Evaluation of effectiveness
- 3.2.1 Problems in evaluating effectiveness
- 3.2.2 Recommendations for evaluating effectiveness
- 3.2.3 Evaluating relative effectiveness by means of DEA: a brief review
- 3.2.4 Requirements of business practice
- 3.2.5 Critical discussion of reviewed DEA-literature concerning the requirements of business practice
- 3.3 A DEA approach for evaluating relative effectiveness under predetermined targets
- 3.3.1 Framework
- 3.3.2 Two-step procedure
- 3.3.2.1 Step 1: Classification as green, yellow, and red DMUs
- 3.3.2.2 Step 2: Determination of relative effectiveness scores
- 3.3.3 Illustrative example
- 3.4 Managerial implications
- 3.5 Conclusion and discussion
- 4 Evaluation of relative balance
- 4.1 Flexible weights in DEA models
- 4.1.1 Managerial problems resulting from flexible weights
- 4.1.2 Value judgment in DEA: a brief review
- 4.1.3 Relative balance as an additional dimension of performance
- 4.2 Innovative DEA approach for evaluating the relative balance of DMUs
- 4.2.1 Framework
- 4.2.2 Two-step procedure
- 4.2.2.1 Step 1: Determination of the acceptable output mix region
- 4.2.2.2 Step 2: Calculation of the balance score
- 4.2.3 Illustrative example
- 4.3 Managerial implications
- 4.4 Brief review of recent model developments
- 4.5 Conclusion and discussion
- 5 Evaluation of relative efficiency
- 5.1 Rethinking DEA efficiency evaluation
- 5.1.1 Problems in determining performance criteria
- 5.1.2 Broadening the methodology of DEA by generalized DEA (GDEA)
- 5.1.3 Introduction of GDEA
- 5.2 Goal-oriented approach to determine performance criteria for evaluating relative efficiency
- 5.2.1 Framework
- 5.2.2 Three-step procedure
- 5.2.2.1 Step 1: Development of a system of objectives
- 5.2.2.2 Step 2: Derivation of suitable performance criteria
- 5.2.2.3 Step 3: Construction of cost and benefit functions
- 5.2.3 Illustrative example
- 5.3 Managerial implications
- 5.4 Conclusion and discussion
- 6 Conclusions
- 6.1 Summary and conclusions
- 6.2 Suggestions for further research
- References
- List of publications
Ludmila Neumann
Extended Performance
Evaluation Based on DEA
A Multidimensional Point of View
Bibliographic Information published by the Deutsche Nationalbibliothek
The Deutsche Nationalbibliothek lists this publication in the Deutsche Nationalbibliografie; detailed bibliographic data is available in the internet at http://dnb.d-nb.de.
Zugl.: Braunschweig, Techn. Univ., Diss., 2015
D 84
ISSN 0721-7339
ISBN 978-3-631-72216-9 (Print)
E-ISBN 978-3-631-72270-1 (E-PDF)
E-ISBN 978-3-631-72271-8 (EPUB)
E-ISBN 978-3-631-72272-5 (MOBI)
DOI 10.3726/b11297
© Peter Lang GmbH
Internationaler Verlag der Wissenschaften
Frankfurt am Main 2017
All rights reserved.
PL Academic Research is an Imprint of Peter Lang GmbH.
Peter Lang – Frankfurt am Main · Bern · Bruxelles · New York · Oxford · Warszawa · Wien
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This publication has been peer reviewed.
About the author
Ludmila Neumann studied financial and business mathematics at the Technische Universität Braunschweig. She conducted her PhD studies at the Institute of Management Control and Business Accounting of the Technische Universität Braunschweig. Her research areas are Performance Management and Performance Evaluation as well as Data Envelopment Analysis.
About the book
This study introduces new methodological developments of Data Envelopment Analysis (DEA) that satisfy the demands of business practice and provide a multidimensional point of view on the evaluation of organizational performance. The author extends the focus of performance evaluation based on DEA, which is originally placed on efficiency, to effectiveness and balance. Such a multidimensional point of view provides different insights into organizational performance, which by complementing each other have several implications for managerial decision making.
This eBook can be cited
This edition of the eBook can be cited. To enable this we have marked the start and end of a page. In cases where a word straddles a page break, the marker is placed inside the word at exactly the same position as in the physical book. This means that occasionally a word might be bifurcated by this marker.
Acknowledgments
Writing this dissertation has been certainly the most challenging experience for me and it would not have been possible without the support and guidance that I have received from many people. I would like to take the opportunity to acknowledge and thank all those people who have contributed in many ways to the success of this work.
I would like first of all to express my gratitude to my supervisor, Prof. Dr. Heinz Ahn, for the confidence he has placed in me and for his advice, interest, and encouragement in my research, which were invaluable for the completion of this dissertation. I would also like to thank Prof. Dr. Susanne Robra-Bissantz and Prof. Dr. Thomas S. Spengler for serving as members of my doctoral dissertation committee.
My time at the Institute of Management Control and Business Accounting of the Technische Universität Braunschweig has been made enjoyable and productive in large part due to the great team I have been fortunate to work with over the years. I am especially grateful to Nadia Vazquez Novoa for our inspiring discussions, for the long evenings we have been working together by stimulating and motivating each other, and for all the fun we have had in and out of work. My special thanks go also to Dr. Yvonne Höfer-Diehl for her enormous support and advice – despite physical distance and time difference – in the final period of my dissertation: Your feedback and comments have been of inestimable value.
In my personal life, I would like to thank my parents, Katarina and Leopold Neumann, and my brother, Alex Neumann, for all their love and incredible belief in me throughout every condition of my life. I am also very thankful to my friends for their patience and understanding for the time we could not spend together while I have been focused on writing my dissertation and for all the moral support they have provided.
Finally, I would like to express my gratitude to my husband, Federico Muñoz, who has been by my side throughout this period, tirelessly listening to my ideas and offering encouragement and motivation when it was most needed: Without you, I would not have had the strength to keep up on this challenging project. To you I dedicate this dissertation.←5 | 6→ ←6 | 7→
Table of contents
1.1 Motivation and contribution of the dissertation
1.2 Structure of the dissertation
2 Conceptual framework for performance evaluation based on DEA
2.1 Introduction of key concepts and terms
2.1.1 Performance: an ambiguous term
2.1.2 From performance measurement to performance evaluation
Details
- Pages
- 179
- Publication Year
- 2017
- ISBN (PDF)
- 9783631722701
- ISBN (ePUB)
- 9783631722718
- ISBN (MOBI)
- 9783631722725
- ISBN (Softcover)
- 9783631722169
- DOI
- 10.3726/b11297
- Language
- English
- Publication date
- 2017 (May)
- Keywords
- Data Envelopment Analysis Balance Effectiveness Efficiency Performance Management
- Published
- Frankfurt am Main, Bern, Bruxelles, New York, Oxford, Warszawa, Wien, 2017. 179 pp., 22 b/w ill., 16 b/w tables