Advances in DEA Theory and Applications (eBook)
A key resource and framework for assessing the performance of competing entities, including forecasting models
Advances in DEA Theory and Applications provides a much-needed framework for assessing the performance of competing entities with special emphasis on forecasting models. It helps readers to determine the most appropriate methodology in order to make the most accurate decisions for implementation. Written by a noted expert in the field, this text provides a review of the latest advances in DEA theory and applications to the field of forecasting.
Designed for use by anyone involved in research in the field of forecasting or in another application area where forecasting drives decision making, this text can be applied to a wide range of contexts, including education, health care, banking, armed forces, auditing, market research, retail outlets, organizational effectiveness, transportation, public housing, and manufacturing. This vital resource:
- Explores the latest developments in DEA frameworks for the performance evaluation of entities such as public or private organizational branches or departments, economic sectors, technologies, and stocks
- Presents a novel area of application for DEA; namely, the performance evaluation of forecasting models
- Promotes the use of DEA to assess the performance of forecasting models in a wide area of applications
- Provides rich, detailed examples and case studies
Advances in DEA Theory and Applications includes information on a balanced benchmarking tool that is designed to help organizations examine their assumptions about their productivity and performance.
KAORU TONE is with the National Graduate Institute for Policy Studies, Japan. His contribution to DEA has a variety of attainments. He authored a classical book Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software under the co-authorship with Professor Cooper (University of Texas) and Professor Seiford (University of Michigan). He also published many papers on DEA in international journals. Kaoru Tone opened a new avenue for performance evaluation, called Slacks-based Measure (SBM) that is widely utilized over the world. His recent innovations include Network SBM, Dynamic SBM, Dynamic DEA with Network Structure, Congestion, Returns-to-growth in DEA, Ownership-specified Network DEA, Non-convex Frontier DEA, Past-Present-Future Inter-temporal DEA, Resampling DEA and SBM-Max.
A key resource and framework for assessing the performance of competing entities, including forecasting models Advances in DEA Theory and Applications provides a much-needed framework for assessing the performance of competing entities with special emphasis on forecasting models. It helps readers to determine the most appropriate methodology in order to make the most accurate decisions for implementation. Written by a noted expert in the field, this text provides a review of the latest advances in DEA theory and applications to the field of forecasting. Designed for use by anyone involved in research in the field of forecasting or in another application area where forecasting drives decision making, this text can be applied to a wide range of contexts, including education, health care, banking, armed forces, auditing, market research, retail outlets, organizational effectiveness, transportation, public housing, and manufacturing. This vital resource: Explores the latest developments in DEA frameworks for the performance evaluation of entities such as public or private organizational branches or departments, economic sectors, technologies, and stocks Presents a novel area of application for DEA; namely, the performance evaluation of forecasting models Promotes the use of DEA to assess the performance of forecasting models in a wide area of applications Provides rich, detailed examples and case studies Advances in DEA Theory and Applications includes information on a balanced benchmarking tool that is designed to help organizations examine their assumptions about their productivity and performance.
KAORU TONE is with the National Graduate Institute for Policy Studies, Japan. His contribution to DEA has a variety of attainments. He authored a classical book Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software under the co-authorship with Professor Cooper (University of Texas) and Professor Seiford (University of Michigan). He also published many papers on DEA in international journals. Kaoru Tone opened a new avenue for performance evaluation, called Slacks-based Measure (SBM) that is widely utilized over the world. His recent innovations include Network SBM, Dynamic SBM, Dynamic DEA with Network Structure, Congestion, Returns-to-growth in DEA, Ownership-specified Network DEA, Non-convex Frontier DEA, Past-Present-Future Inter-temporal DEA, Resampling DEA and SBM-Max.
ABOUT THE AUTHORS
Timothy R. Anderson (tim.anderson@pdx.edu) is an Associate Professor of Engineering and Technology Management at Portland State University. He earned an Electrical Engineering degree from the University of Minnesota, as well as both an MS and a PhD degree in Industrial and Systems Engineering from the Georgia Institute of Technology. He has been the Program Chair or Co‐Chair 13 times for PICMET, the Portland International Conference on the Management of Engineering and Technology, since 1997, with over 35 refereed publications, and current research interests in benchmarking, technology forecasting, data mining, and new product development.
Skarleth Carrales (s1471551@sms.ed.ac.uk) is a PhD candidate at the University of Edinburgh, UK. She holds a bachelor’s degree with honours in Business Administration from the University of La Salle in Mexico, and an MSc degree in Finance from the Instituto Tecnológico de Estudios Superiores de Monterrey, Mexico. Her research focuses on the performance evaluation of banks as decision‐making units with data envelopment analysis. She worked for six years as a subdirector in different areas for the Secretary of Agriculture, Animal Husbandry, Rural Development, Fisheries and Food in Mexico. In her last job she published a ‘General manual of organization’ in the Official Gazette of Mexico for that Secretary, and a ‘Technical guide for the update and development of the organization and procedures manuals’ in the Institutional Library of Regulations and 30 organizational manuals as well. She is currently a Teaching Assistant in the Management Science and Business Economics group at the University of Edinburgh. She participated as the Selection Process Officer in the 14th Symposium of Mexican Students and Studies. Currently, she is Treasurer of the Doctoral Society of the Business School at the University of Edinburgh.
Tsung‐Sheng Chang (tsc@nctu.edu.tw) received a PhD degree in Transportation Systems Engineering (in the School of Civil and Environmental Engineering) from Cornell University. He is a Professor in the Department of Transportation and Logistics Management at National Chiao Tung University, Taiwan. His research focuses on developing optimization and modelling procedures for large‐scale, complex transportation and logistics problems. In addition, he also works on developing various new DEA models. His research has been published in various journals, such as Transportation Science, Transportation Research Part B and European Journal of Operational Research.
Li‐Hsueh Chen (yoannachen@gmail.com) is a Postdoctoral Fellow in the Department of Transportation Science, National Taiwan Ocean University, Taiwan. She holds MA and PhD degrees in Economics from National Chengchi University, Taiwan. She has published papers on DEA in international journals, such as Omega, Cornell Hospitality Quarterly, Journal of Business Research and Journal of Air Transport Management. Her recent research interests include dynamic DEA with network structure, resource allocation and target setting in DEA, and scale elasticity in DEA.
Hirofumi Fukuyama (fukuyama@fukuoka‐u.ac.jp) is a Professor in the Faculty of Commerce at Fukuoka University, Japan. He received a PhD in Economics from Southern Illinois University at Carbondale, USA, in 1988. His research interests include efficiency/productivity measurement in the financial services industry, as well as the theory and applications of data envelopment analysis. His work has appeared in refereed journals on operations research, finance, management and economics. These journals include European Journal of Operational Research; Omega; Annals of Operations Research; International Journal of Information Technology and Decision Making; Journal of Optimization Theory and Applications; Applied Soft Computing; Journal of Intelligent & Fuzzy Systems; Journal of Productivity Analysis; Journal of the Operational Research Society (UK); Operational Research; Journal of the Operations Research Society of Japan; International Financial Markets, Institutions & Money; Pacific‐Basin Finance Journal; Managerial and Decision Economics; Socio‐Economic Planning Sciences; and International Journal of Applied Management. He is an Associate Editor for Data Envelopment Analysis Journal, and is on the Editorial Board of International Journal of Information Systems and Social Change, International Journal of Applied Management, International Journal of Society Systems Science and Open Management Journal.
Atsuo Hashimoto (munekana76@ybb.ne.jp) is a teacher of information technology at Fukuoka Girls’ Commercial High School and a part‐time lecturer in operations research at Fukuoka University in Japan. He received his PhD (Doctor of Commercial Science) from Fukuoka University in March 2015. His research focuses on the productivity evaluation of Japanese prefectures and their sustainability. He has published several journal articles. His articles have appeared in Communications of the Operations Research Society of Japan and Japan Academic Society of Business Education.
Masayoshi Hayashi (hayashim@e.u‐tokyo.ac.jp) is a Professor of Economics in the Graduate School of Economics, University of Tokyo, Japan. He received a BA and MA in Political Science from the School of International Politics, Economics and Business (SIPEB), Aoyama Gakuin University, Tokyo, and an MA and PhD in Economics from Queen’s University, Kingston, Ontario, Canada. His research interests centre on issues in public finance and public policy. He was a policy analyst at the Sanwa Research Institute Corporation (now Mitsubishi‐UFJ Research & Consulting Co., Ltd), Tokyo, Japan, and a Principal Economist at the Policy Research Institute of the Japanese Ministry of Finance. He also served as an associate professor at Meiji Gakuin University and Hitotsubashi University. He has published a number of studies on various topics in public finance, including fiscal federalism, social policy, taxation and cost–benefit analysis. His publications in English have appeared in Socio‐Economic Planning Sciences, International Tax and Public Finance, International Journal of Health Care Finance and Economics, Canadian Journal of Economics, Canadian Public Policy and Journal of the Japanese and International Economies. He is now the editor in chief of Studies in Applied Economics.
Bo Hsiao (bhsiao@mail.cjcu.edu.tw) is an Associate Professor in the Department of Information Management at Chang Jung Christian University, Taiwan. He received his PhD degree in Information Management from National Taiwan University, Taiwan. His research interests include manufacturing information systems, data envelopment analysis, project management, the knowledge economy and pattern recognition. Before joining academia, he was employed by the Taiwan Semiconductor Manufacturing Company (TSMC) and the Industrial Technology Research Institute (ITRI), and worked as an engineer, associate research fellow and project manager. He has published his research in Applied Ergonomics, Maritime Policy & Management, Journal of Business Research, Emergence Markets Finance and Trade, Pattern Recognition, Journal of International Management Science, Decision Support Systems, Omega and Computers in Human Behavior. He also serves on the Editorial Board for Journal of Reviews on Global Economics.
Andrew L. Johnson (ajohnson@tamu.edu) is an Associate Professor in the Department of Industrial and Systems Engineering at Texas A&M University and a Visiting Associate Professor at Osaka University. He obtained his BS from the Grado Department of Industrial and Systems Engineering at Virginia Tech and his MS and PhD from the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. His research interests include productivity and efficiency measurement, benchmarking, and production economics. He is an associate editor of IIE Transactions and a member of IIE, INFORMS, the National Eagle Scout Association and the German Club of Virginia Tech. He was a co‐organizer of the 2016 NSF workshop to redefine broader impacts. For more information, see his website andyjohnson.guru.
Hiroyuki Kawaguchi (kawaguchi@seijo.ac.jp) is a Professor in the Economics Faculty at Seijo University, Japan. He holds a Master of Science degree in Health Economics from the University of York, UK and a PhD in Economics from Hitotsubashi University, Japan. He started his career at the Industrial Bank of Japan and worked there for 11 years in several divisions, including the industrial research division, where he worked as an economist of the healthcare industry. He served as a professor at the International University of Health and Welfare for 12 years and also worked at Seijo University for six years. His main work has been in health economics and health policy. He authored an introductory textbook on health economics, Economics of Health Care: Evaluation of Health Policy from an Economic Point of View. He has also published several papers on health economics and health policy in international journals, such as Health Care Management Science, BMC Health Services Research, International...
| Erscheint lt. Verlag | 12.4.2017 |
|---|---|
| Reihe/Serie | Wiley Series in Operations Research and Management Science |
| Wiley Series in Operations Research and Management Science | Wiley Series in Operations Research and Management Science |
| Sprache | englisch |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Statistik |
| Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik | |
| Technik | |
| Schlagworte | benchmarking service operations • benchmarking the performance of manufacturing • Betriebswirtschaft • Betriebswirtschaft u. Operationsforschung • Business & Management • Data envelopment analysis • Data-Envelopment-Analysis • DEA • DEA and benchmarking in operations management • DEA and economics • DEA and forecasting models • DEA and mathematical models • DEA and performance • DEA and productivity • DEA applications • DEA benchmarking tool • DEA operations research • Economics • Effizienz (Wirtsch.) • estimating production frontiers • evaluating DEA multiple performance measures or metrics • evaluating the performance of peers • Financial Economics • Finanzökonomie • Finanz- u. Wirtschaftsstatistik • Management Science/Operational Research • mathematical programming techniques • measuring productive efficiency of decision making units • measuring productive efficiency of DMUs • Operations Research • Statistics • Statistics for Finance, Business & Economics • Statistik • Unternehmensforschung • Volkswirtschaftslehre • Wirtschaft u. Management |
| ISBN-13 | 9781118946695 / 9781118946695 |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
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