Del 19 - Applications of Management Science

Applications of Management Science

Inbunden, Engelska, 2018

Av Kenneth D. Lawrence, Gary Kleinman, USA) Lawrence, Kenneth D. (New Jersey Institute of Technology

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Applications of Management Science is a blind refereed series that is published on an annual basis. Its objective is to present current studies in the application of management science to the solution of significant managerial decision-making problems. It significantly aids in the dissemination of the solution of managerial decision-making problems with management science methodologies. Volume 19 focuses on the application of management science methodologies, data envelopment analysis and multi-criteria decision making. The first section is focused on data envelopment analysis. The second section focuses on multi-criteria decision making. The third section focuses on decision making. This volume will be of significant interested to those involved in the applications of multi-criteria decision making, data envelopment analysis and decision making, in a realistic managerial problem solving environment through the use of state-of-the-art management science modelling.

Produktinformation

Utgivningsdatum2018-08-06
Mått152 x 229 x 17 mm
Vikt409 g
FormatInbunden
SpråkEngelska
SerieApplications of Management Science
Antal sidor200
FörlagEmerald Publishing Limited
ISBN9781787566521

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Kenneth Lawrence, PhD, is a Professor of Management Science and Business Analytics at the Tuchman School of Management at the New Jersey Institute of Technology. Dr. Lawrence’s professional employment includes over 20 years of technical management experience with AT&T as Director, Decision Support Systems and Marketing Demand Analysis, Hoffmann-La Roche, Inc., Prudential Insurance, and the U. S. Army in forecasting, marketing planning and research, statistical analysis and operations research.Gary Kleinman is a Professor of Accounting at the Feliciano School of Business at Montclair State University. He has taught auditing and many other accounting courses for many years at both undergraduate and masters levels. He has a CPA license and obtained his PhD from Rutgers University, Newark, NJ. In addition, Dr. Kleinman has an extensive research background, writing about auditing, auditor judgment, auditor independence, auditor behavior and statistical sampling in auditing.

SECTION AChapter 1. Intercollegiate Athletics Efficiency: A Two-Stage DEA Approach; Mauro Falasca and John F. KrosChapter 2. An Empirical Analysis of the Performance of Residential Real Estate Investment Funds; Rashmi Malhotra and D.K. MalhotraChapter 3. Evaluating the Impact of Advertising on Sales and Profitability in Apparel Industry; Rashmi Malhotra, D.K. Malhotra, Elizabeth Mariotz and Raymond R. PoteauChapter 4. Productivity in the U.S. Telecommunications Industry: A DEA Approach; Kenneth D. Lawrence, Dinesh R. Pai and Sheila M. LawrenceSECTION BChapter 5. A Linear Physical Programming Approach for Evaluating Collection Centers for End-of-Life Products; Bandar A. Alkhayyal and Surendra M. Gupta Chapter 6. Enterprise Warranty Programs for Two-Dimensional Policies with Multiple Objectives; Amit MitraChapter 7. Weighted-Sum Approach for Bi-Objective Optimization of Fleet Size with Environmental Aspects; Bartosz Sawik SECTION C Chapter 8. Chinese Drywall: A Systemic Decision Making Approach; Patrick T. Hester and Ying ThaviphokeChapter 9. Decision Support Capabilities in Excel; Ronald Klimberg and Samuel Ratick

This volume covers managerial applications of data envelopment analysis, applications of multicriteria optimization, and applications of management decision making. Among the topics are an empirical analysis of the performance of residential real estate investment funds, evaluating the impact of advertising on sales and profitability in the apparel industry, a linear physical programming approach for evaluating collection centers for end-of-life products, a weighted-sum approach for bi-objective optimization of fleet size with environmental aspects, and Chinese drywall: a systemic decision-making approach.