data envelopment analysis methods (56 Ergebnisse)

Soft cover. Zustand: New. Language:Chinese.Author:MA ZHAN XIN.Binding:Soft cover.Publisher:Science Press Pub. Date :2010-04-01.

Softcover. Zustand: neu. 1. Auflage. QM - Quantitative Methoden in Forschung und Praxis, Band 36 178 pages. Data Envelopment Analysis (DEA) is a benchmarking tool that evaluates the relative efficiency by comparing peer decision making units (DMUs) which transform varying quantities of the same set of inputs into varying amounts of the same set of outputs. The efficiency score is defined as the ratio of the weighted sum of outputs to the weighted sum of inputs. Input and output weights are not a priori specified but determined model endogenously. Consequently each DMU is free to choose the optimal set of weights that maximizes its efficiency score, showing itself in the most favorable light. This total flexibility of weights may lead to disputable results. It could happen that the efficiency score will be given by the ratio of only one single input and one single output. It follows that the weights of the remaining inputs and outputs are reduced to zero, thus neglecting or ignoring inputs and outputs relative to which the evaluated DMU performs poorly. This weakens DEA assuming that inputs and outputs were chosen because of their relevance. This is particularly inconvenient for business cases in which balance is primordial, whereby DMUs target to perform well relative to all indicators. With regard to balance two different approaches consisting of different methods can be distinguished in the DEA literature. The balance enforcement approach takes the balance into account by means of weights restrictions whereas the balance measurement approach introduces balance as an additional performance indicator complementary to the efficiency score. This work extensively presents, analyzes and compares balance measuring methods applying them on real life applications. It results typical model's characteristics, properties and limitations from which managerial insights are deduced. Indeed, balance measuring methods offer insights about the strategy followed by DMUs and accordingly enable the identification of appropriate benchmarks permitting performance improvement. They successfully differentiate between specialized and balanced DMUs and thus allowing the clustering of similar DMUs. This work shows that Balance is not only a theoretical concept but an instrument that yields useful insights in practice solving real life problems.

Taschenbuch. Zustand: Neu. Imprecise Data Envelopment Analysis for Target Setting | Mathematical Approach, Models, Methods, Applications | Najmeh Malekmohammadi (u. a.) | Taschenbuch | 92 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783845476247 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

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paperback. Zustand: New. Language:Chinese.Paperback.Pub Date:2023-12 Pages:176 Publisher:Science Press Performance evaluation is an important research field in management theory and practice. Among the many evaluation theories and methods. data envelopment analysis (DEA) has achieved rapid development in the past 20 years with its own advantages. becoming a research focus and hotspot in the field of performance evaluation. and has been widely used in supply chain. warehousing. logistics. medical care. sports. aviatio.

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paperback. Zustand: New. Language:Chinese.Paperback. Pub Date: 2023-03 Pages: 220 Publisher: Science Press This book is a systematic summary of the author's research on cross-efficiency in recent years. This book combines theoretical methods with practical applications. proposes improved methods to address the shortcomings of cross-efficiency research methods. and verifies the proposed theories and methods through examples. The main contents of this book include an introduction to the basic knowledge of cross-efficie.

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Hardcover. Zustand: Neu. Neu Neuware, auf Lager - Advances in social science research methodologies and data analytic methods are changing the way research in information systems is conducted. New developments in statistical software technologies for data mining (DM) such as regression splines or decision tree induction can be used to assist researchers in systematic post-positivist theory testing and development. Established management science techniques like data envelopment analysis (DEA), and value focused thinking (VFT) can be used in combination with traditional statistical analysis and data mining techniques to more effectively explore behavioral questions in information systems research. As adoption and use of these research methods expand, there is growing need for a resource book to assist doctoral students and advanced researchers in understanding their potential to contribute to a broad range of research problems.Advances in Research Methods for Information Systems Research: Data Mining, Data Envelopment Analysis, Value Focused Thinking focuses on bridging and unifying these three different methodologies in order to bring them together in a unified volume for the information systems community. This book serves as a resource that provides overviews on each method, as well as applications on how they can be employed to address IS research problems. Its goal is to help researchers in their continuous efforts to set the pace for having an appropriate interplay between behavioral research and design science.

Taschenbuch. Zustand: Neu. Advances in Research Methods for Information Systems Research | Data Mining, Data Envelopment Analysis, Value Focused Thinking | Kweku-Muata Osei-Bryson (u. a.) | Taschenbuch | Integrated Series in Information Systems | vii | Englisch | 2016 | Springer | EAN 9781489978332 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Advances in social science research methodologies and data analytic methods are changing the way research in information systems is conducted. New developments in statistical software technologies for data mining (DM) such as regression splines or decision tree induction can be used to assist researchers in systematic post-positivist theory testing and development. Established management science techniques like data envelopment analysis (DEA), and value focused thinking (VFT) can be used in combination with traditional statistical analysis and data mining techniques to more effectively explore behavioral questions in information systems research. As adoption and use of these research methods expand, there is growing need for a resource book to assist doctoral students and advanced researchers in understanding their potential to contribute to a broad range of research problems.Advances in Research Methods for Information Systems Research: Data Mining, Data Envelopment Analysis, Value Focused Thinking focuses on bridging and unifying these three different methodologies in order to bring them together in a unified volume for the information systems community. This book serves as a resource that provides overviews on each method, as well as applications on how they can be employed to address IS research problems. Its goal is to help researchers in their continuous efforts to set the pace for having an appropriate interplay between behavioral research and design science.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Advances in social science research methodologies and data analytic methods are changing the way research in information systems is conducted. New developments in statistical software technologies for data mining (DM) such as regression splines or decision tree induction can be used to assist researchers in systematic post-positivist theory testing and development. Established management science techniques like data envelopment analysis (DEA), and value focused thinking (VFT) can be used in combination with traditional statistical analysis and data mining techniques to more effectively explore behavioral questions in information systems research. As adoption and use of these research methods expand, there is growing need for a resource book to assist doctoral students and advanced researchers in understanding their potential to contribute to a broad range of research problems.Advances in Research Methods for Information Systems Research: Data Mining, Data Envelopment Analysis, Value Focused Thinking focuses on bridging and unifying these three different methodologies in order to bring them together in a unified volume for the information systems community. This book serves as a resource that provides overviews on each method, as well as applications on how they can be employed to address IS research problems. Its goal is to help researchers in their continuous efforts to set the pace for having an appropriate interplay between behavioral research and design science.

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Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 480 | Sprache: Englisch | Produktart: Bücher | This handbook represents a milestone in the progression of Data Envelopment Analysis (DEA). Written by experts who are often major contributors to DEA theory, it includes a collection of chapters that represent the current state-of-the-art in DEA research. Topics include distance functions and their value duals, cross-efficiency measures in DEA, integer DEA, weight restrictions and production trade-offs, facet analysis in DEA, scale elasticity, benchmarking and context-dependent DEA, fuzzy DEA, non-homogenous units, partial input-output relations, super efficiency, treatment of undesirable measures, translation invariance, stochastic nonparametric envelopment of data, and global frontier index.Focusing only on new models/approaches of DEA, the book includes contributions from Juan Aparicio, Mette Asmild, Yao Chen, Wade D. Cook, Juan Du, Rolf Färe, Julie Harrison, Raha Imanirad, Andrew Johnson, Chiang Kao, Abolfazl Keshvari, Timo Kuosmanen, Sungmook Lim, Wenbin Liu, Dimitri Margaritis, Reza Kazemi Matin, Ole B. Olesen, Jesus T. Pastor, Niels Chr. Petersen, Victor V. Podinovski, Paul Rouse, Antti Saastamoinen, Biresh K. Sahoo, Kaoru Tone, and Zhongbao Zhou.

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Taschenbuch. Zustand: Neu. Data Envelopment Analysis | A Handbook of Models and Methods | Joe Zhu | Taschenbuch | International Series in Operations Research & Management Science | xii | Englisch | 2016 | Springer | EAN 9781489978455 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This handbook represents a milestone in the progression of Data Envelopment Analysis (DEA). Written by experts who are often major contributors to DEA theory, it includes a collection of chapters that represent the current state-of-the-art in DEA research. Topics include distance functions and their value duals, cross-efficiency measures in DEA, integer DEA, weight restrictions and production trade-offs, facet analysis in DEA, scale elasticity, benchmarking and context-dependent DEA, fuzzy DEA, non-homogenous units, partial input-output relations, super efficiency, treatment of undesirable measures, translation invariance, stochastic nonparametric envelopment of data, and global frontier index.Focusing only on new models/approaches of DEA, the book includes contributions from Juan Aparicio, Mette Asmild, Yao Chen, Wade D. Cook, Juan Du, Rolf Färe, Julie Harrison, Raha Imanirad, Andrew Johnson, Chiang Kao, Abolfazl Keshvari, Timo Kuosmanen, Sungmook Lim, Wenbin Liu, Dimitri Margaritis, Reza Kazemi Matin, Ole B. Olesen, Jesus T. Pastor, Niels Chr. Petersen, Victor V. Podinovski, Paul Rouse, Antti Saastamoinen, Biresh K. Sahoo, Kaoru Tone, and Zhongbao Zhou.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This handbook represents a milestone in the progression of Data Envelopment Analysis (DEA). Written by experts who are often major contributors to DEA theory, it includes a collection of chapters that represent the current state-of-the-art in DEA research. Topics include distance functions and their value duals, cross-efficiency measures in DEA, integer DEA, weight restrictions and production trade-offs, facet analysis in DEA, scale elasticity, benchmarking and context-dependent DEA, fuzzy DEA, non-homogenous units, partial input-output relations, super efficiency, treatment of undesirable measures, translation invariance, stochastic nonparametric envelopment of data, and global frontier index.Focusing only on new models/approaches of DEA, the book includes contributions from Juan Aparicio, Mette Asmild, Yao Chen, Wade D. Cook, Juan Du, Rolf Färe, Julie Harrison, Raha Imanirad, Andrew Johnson, Chiang Kao, Abolfazl Keshvari, Timo Kuosmanen, Sungmook Lim, Wenbin Liu, Dimitri Margaritis, Reza Kazemi Matin, Ole B. Olesen, Jesus T. Pastor, Niels Chr. Petersen, Victor V. Podinovski, Paul Rouse, Antti Saastamoinen, Biresh K. Sahoo, Kaoru Tone, and Zhongbao Zhou.

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