data envelopment analysis methods (44 resultados)

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

Softcover. Condición: 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.

Condición: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher.

Hardcover. Condición: 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.

Condición: New. In.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book, the new aspect of target setting and resource allocation in data envelopment analysis is presented. The existing data envelopment analysis (DEA) target models are just defined for exact data. Considering the importance of imprecise data such as fuzzy, ordinal and interval data in organizations, DEA target models and method are proposed with some advantages over the previous ones, and also defined for imprecise data. The suggested target models for imprecise data are originally non-linear mathematical programming problems, but two proposed methods are used to convert them to the linear ones. The different aspects of target setting in DEA are also discussed. Numerical illustrations are provided in this book to show some desired results of the established imprecise target models over the existing ones. Considering the wide application of data envelopment analysis in organizations, one of the established models is applied to the evaluation of efficiency and resource allocation of commercial banks in Malaysia. Finally, the discussions on some approaches in our researches are presented. Future studies and improvements are also given to conclude this book.

paperback. Condición: 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.

paperback. Condición: 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.

Condición: New. In.

Condición: New. In.

Condición: New. In.

Hardcover. Condición: New. HardCover. Pub Date: 2018-06-01 Pages: 310 Language: Chinese Publisher: Science Press The Data Envelopment Analysis (DEA) method is a widely used method for efficiency evaluation. Systematic Comprehensive Evaluation and Data Envelopment Analysis Methods: Modeling and Application = Comprehensive Evaluation an.