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Applications of Management Science is a blind refereed refereed series. Each annual volume presents current studies in the application of management science to the solution of significant managerial decision-making problems. Authors investigate solutions to managerial decision-making problems using management science methodologies. In this volume, the first section is focused on multi-criteria decision applications, the second section on supply chain management and finally authors look at productivity analysis. Thus this volume will be of significant interest to those involved in the applications of these methods, in a realistic managerial problem solving environment through the use of state of the art management science modeling.

The objective of this research annual is to present state-of-the-art studies in the application of management science to the solution of significant managerial decision making problems. We hope that this research annual will significantly aid in the dissemination of actual applications of management science in both the public and private sectors. Topics will include: applied management science studies in finance, management, operations, supply chain and productivity. Applications of Management Science is critical reading for those academics, researchers, and practitioners of management science to the solution of significant managerial decision making problems in both the public and the private sectors.

Zum Inhalt Das Marketing und insbesondere der Bereich der Werbung wurden lange Zeit als eine von Intuition getriebene Managementlehre betrachtet, deren Ergeb-nisse als kaum quantifizierbar galten. Um Marketinginvestitionen weiterhin zu legitimieren, wird jedoch zunehmend gefordert, den Erfolgsbeitrag des Mar-keting anhand harter Fakten nachzuweisen. Damit Ergebnisverantwortung übernommen und Rechenschaft abgelegt werden kann, muss das Marketing auch rechenbar sein. Manager müssen quantifizieren, welche Outputs sie mit den eingesetzten Inputs erbracht haben. Daher steht die Suche nach Methoden zur Effizienzmessung inzwischen weit oben auf der Agenda von Wissenschaft und Praxis. Das Buch führt die Data Envelopment Analysis (DEA) als eine innovative, leistungsfähige Methode der Effizienzbewertung im Marketing ein. Die DEA geht über einfache Kennzahlenvergleiche, wie sie in traditionellen Controlling-Ansätzen dominieren, hinaus. Die Methode erlaubt es, verschie-dene Input- und Outputkennzahlen zu einer Effizienzkennzahl zu verdichten. Diese ermöglicht eine Aussage über die Gesamteffizienz des Marketing oder einzelner Marketinginstrumente. Sie liefert außerdem Informationen zu den Ursachen sowie Handlungsempfehlungen zur Schließung aufgedeckter Effi-zienzlücken. • Grundmodelle und Weiterentwicklungen der DEA • Messung und Steuerung der Effizienz von Verkaufsniederlassungen, Filialen und Außendienstteams • Dynamisierung der Effizienzmessung im Vertrieb • Analyse der Effizienz von klassischer Werbung und Online-Werbung • Analyse der Effizienz von Sales Promotions • Produktbenchmarking • Customer-Value-Analyse und Marktabgrenzung

Applications of Management Science, Volume 16 focuses on the application of management science to multiple criteria decision making, data envelopment analysis, and managerial applications. Section A focuses on multiple criteria applications in college course scheduling, offshore windfarms, services in a hospital, portfolio optimization, and balancing a sequence dependent disassembly line. Section B focuses on data envelopment analysis applications of productivity in on-line stores, research libraries, and advertising investment plans. Section C focuses on managerial applications on the effects of aging on food consumption, costs of renewable warrantees, pricing models with group buying, and the improvement of patient flow. This volume will be valuable to those interested in multiple criteria applications, data envelopment analysis applications, and other managerial applications of management science.

Technology Commercialization: DEA and Related Analytical Methods for Evaluating The Use and Implementation of Technical Innovation examines both general Research & Development commercialization and targeted new product innovation. New product development is a major occupation of the technical sector of the global economy and is viewed in many ways as a means of economic stability for a business, an industry, and a country. The heart of the book is a detailing of the analytical methods-with special, but not exclusive emphasis on DEA methods-for evaluating and ranking the most promising R & D and technical innovation being developed. The sponsors of the research and development may involve universities, countries, industries, and corporations-all of these sources are covered in the book. In addition, the trade-off of environmental problems vis-à-vis new product development is discussed in a section of the book. Sten Thore (editor and author) has woven together the chapter contributions by a strong group of international researchers into a book that has characteristics of both a monograph and a unified edited volume of well-written papers in DEA, technology evaluation, R&D, and environmental economics. Finally, the use of DEA as an evaluation method for product innovation is an important new development in the field of R&D commercialization.

Applications of Management Science is a blind refereed series, published annually. It presents state-of-the-art studies in the application of management science to solve significant managerial decision-making problems. Volume 15 examines management science application to data envelopment analysis and efficiency, supply chain and quality applications, and multi-criteria and financial applications. Section A focuses on DEA to team performance, public higher education systems, US airlines and Indian commercial banks. Section B focuses on cooperative public service advertising, supply chain strategies, optimal management of reverse supply chain and optimal response to multi-response models. Section C explores multi-criteria measures of public and private enterprises, two-dimensional warranty policy decision making, and creating teams. Section D focuses on financial applications, direct foreign investments, conditional values of risk in portfolio models, and asset allocations of mutual funds. This volume will be most valuable to practitioners and researchers interested in productivity analysis, supply chain systems, multi-criteria applications and financial applications.

This book focuses on the application of Data Envelopment Analysis (DEA) to Major League Baseball (MLB). DEA is a nonparametric linear programming model that is used across academic disciplines. In sports economics, authors have applied the technique primarily to assess team and/or managerial efficiency. The basis for performance analysis is economic production theory, where it is assumed that baseball can be viewed as a production process whereby inputs (player quality measures) are transformed into outputs (wins, attendance). The primary advantage that DEA has over more traditional regression based approaches is the ability to handle multiple inputs and multiple outputs. Further, the approach is nonparametric and hence, does not require a priori specification of the production function. The book develops the theory of DEA in the context of a production environment. A focal point is the assessment of technical and cost efficiency of MLB teams. It is shown that previous frontier applications that measure efficiency provide biased results given that the outcome of a game is zero-sum. If a team loses a game due to inefficiency, another team wins a lost game. A corrected frontier is presented to overcome this problem. Free agent salary arbitration is analyzed using a dual DEA model. Each free agent's contract zone is identified. The upper and lower bounds, representing the player's and team's perspective of value, respectively, are estimated. Player performance is estimated using a modified DEA model to rank order players based on multiple attributes. This model will be used to evaluate current Hall of Fame players. We provide arguments for other players who are deserving of membership. We also use our measure of performance and evaluate age-performance profilers for many ball players. Regression analysis is used to identify the age of peak performance. The method is used to evaluate some of the all-time greats. We also use the method to analyze admitted and implicated steroid users. The results clearly show that performance was enhanced. This book will provide appropriate theoretical models with methodological considerations and interesting empirical analyses and is intended to serve academics and practitioners interested in applying DEA to baseball as well as other sports or production processes. >

Service Productivity Management is an in-depth guide to using the most powerful available benchmarking technique to improve service organization performance - Data Envelopment Analysis (DEA). (1) It outlines the use of DEA as a benchmarking technique. (2) It identifies high costs service units. (3) It isolates specific changes to each service unit to elevate their performance to the best practice services level providing high quality service at low cost. (4) And most important, it guides the improvement process. The discussion and methods are all supported by case-study applications to organizations that have sought and have successfully improved its performance. The techniques discussed in the book are accessible to any and all managers with access to Microsoft® Excel spreadsheet software (Excel).