Language : English
Published : 2013-11-20
Retailing Management 9th International Edition
About the Author
Michael Levy, PhD, is the Charles Clarke Reynolds Professor of Marketing and Director of the Retail Supply Chain Institute at Babson College. He received his PhD in business administration from The Ohio State University and his undergraduate and MS degrees in business administration from the University of Colorado at Boulder. He taught at Southern Methodist University before joining the faculty as professor and chair of the marketing department at the University of Miami. Professor Levy has developed a strong stream of research in retailing, business logistics, financial retailing strategy, pricing, and sales management. He has published over 50 articles in leading marketing and logistics journals, including the Journal of Retailing, Journal of Marketing, Journal of the Academy of Marketing Science, and Journal of Marketing Research. He currently serves on the editorial review board of the Journal of Retailing, Journal of the Academy of Marketing Science, International Journal of Logistics Management, International Journal of Logistics and Materials Management, ECR Journal, and European Business Review. He is coauthor of Retailing Management, 6e (2007), the best-selling college-level retailing text in the world. Professor Levy was co-editor of Journal of Retailing from 2001–2007. Professor Levy has worked in retailing and related disciplines throughout his professional life. Prior to his academic career, he worked for several retailers and a housewares distributor in Colorado. He has performed research projects with many retailers and retail technology firms, including Accenture, Federated Department Stores, Khimetrics, Mervyn’s, Neiman Marcus, ProfitLogic (Oracle), Zale Corporation, and numerous law firms. He co-chaired the 1993 Academy of Marketing Science conference and the 2006 Summer AMA conference.
Dhruv Grewal, PhD (Virginia Tech), is the Toyota Chair in Commerce and Electronic Business and a professor of marketing at Babson College. His research and teaching interests focus on marketing foundations, marketing research, retailing, pricing, and value-based strategies. He was awarded the 2005 Lifetime Achievement in Behavioral Pricing Award by Fordham University. He is a “Distinguished Fellow” of the Academy of Marketing Science. He has also coauthored Marketing Research (2004, 2007). Professor Grewal has published over 70 articles in journals such as Journal of Marketing, Journal of Consumer Research, Journal of Marketing Research, Journal of Retailing, and Journal of the Academy of Marketing Science. He currently serves on numerous editorial review boards, including Journal of Retailing, Journal of the Academy of Marketing Science, Journal of Interactive Marketing, and Journal of Public Policy & Marketing. He served as co-editor of Journal of Retailing from 2001–2007. Professor Grewal has won many awards for his teaching including, 2005 Sherwin-Williams Distinguished Teaching Award, SMA; 2003 AMA Award for Innovative Excellence in Marketing Education; 1999 AMS Great Teachers in Marketing Award; Executive MBA Teaching Excellence Award (1998); School of Business Teaching Excellence Awards (1993, 1999); and Virginia Tech Certificate of Recognition for Outstanding Teaching (1989). He co-chaired: 1993 AMS Conference, 1998 Winter AMA Conference, a 1998 Marketing Science Institute Conference, 2001 AMA doctoral consortium, and 2006 Summer AMA Conference. Professor Grewal has taught executive seminars and courses and/or worked on research projects with numerous firms, such as IRI, TJX, Radio Shack, Monsanto, McKinsey, Motorola, and numerous law firms. He has taught seminars in the U.S., Europe, and Asia.
Spreadsheet Modeling and Decision Analysis: A Practical Introduction to Business Analytics 7th Edition$74.80
Updated for use with Microsoft Office Excel 2013, Spreadsheet Modeling and Decision Analysis, 7th Edition, provides you with succinct instruction in the most commonly used management science techniques and shows you how these tools can be implemented using the most current version of Excel for Windows. This text also focuses on helping you develop algebraic and spreadsheet modeling skills.
Analytic Solver Platform replaces Risk Solver Platform in this edition. Analytic Solver Platform includes all of the capabilities of risk Solver for risk analysis and Monte Carlo simulation, all of the capabilities of Premium Solver Platform for optimization, and new capabilities for finding robust optimal decisions using simulation, optimization, stochastic programming, and robust optimization methods.
This 13th edition of Lesikar’s Business CommunicationDigital World, by Kathryn Rentz, and Paula Lentz brings the contemporary perspective of two expert teachers to Ray Lesikar’s classic textbook. Taking a unique problem-solving approach, it integrates current technologies and trends throughout, while maintaining an emphasis on the fundamentals: careful analysis of the communication problem, development of an audience-focused solution, and clear, correct use of language and visuals. Combined with abundant realistic examples, exercises, and cases, this approach makes Lesikar one of the most pedagogically effective books in the field.
Lind/Marchal/Wathen is a perennial market best seller due to its comprehensive coverage of statistical concepts and methods delivered in a student friendly, step-by-step format. The text presents concepts clearly and succinctly with a conversational writing style and illustrates concepts through the liberal use of business-focused examples that are relevant to the current world of a college student. Known as a “student’s text,” Lind’s supporting pedagogy includes self-reviews, cumulative exercises, and coverage of software applications including Excel, Minitab, and MegaStat for Excel. And now, McGraw-Hill’s adaptive learning component, LearnSmart, provides assignable modules that help students master chapter core concepts and come to class more prepared. In addition, resources within Connect Plus help students solve problems and apply what they’ve learned. Lind’s real-world examples, comprehensive coverage, and superior pedagogy combine with a complete digital solution to help students achieve higher outcomes in the course.
The new edition of Essentials of Business Statistics delivers clear and understandable explanations of core business statistics concepts, making it ideal for a one-term course in business statistics. The author team emphasize the importance of interpreting statistical results to make effective decisions to improve business processes. The text offers real applications of statistics that are relevant to today’s business students which can be seen in the continuing case studies throughout the book. Continuing cases span throughout a chapter or even groups of chapters, easing students into new topic areas.
About the Author
Bruce L. Bowerman is a professor of decision sciences at Miami University in Oxford, Ohio. He received his Ph.D. degree in statistics from Iowa State University in 1974, and he has over 37 years of experience teaching basic statistics, regression analysis, time series forecasting, survey sampling, and design of experiments to both undergraduate and graduate students. In 1987 Professor Bowerman received an Outstanding Teaching award from the Miami University senior class, and in 1992 he received and Effective Educator award from the Richard T. Farmer School of Business Administration. Together with Richard T. O’Connell, Professor Bowerman has written 11 textbooks. These include Forecasting and Time Series: An Applied Approach and Forecasting, Time Series, and Regression: An Applied Approach (also coauthored with Anne B. Koehler); The first edition of Forecasting and Time Series earned an Outstanding Academic Book award from Choice magazine.
Richard T. O’Connell is an associate professor of decision sciences at Miami University in Oxford, Ohio. He has more than 32 years of experience teaching basic statistics, statistical quality control and process improvement, regression analysis, time series forecasting, and design of experiments to both undergraduate and graduate business students. In 2000 Professor O’Connell received an Effective Educator award from the Richard T. Farmer School of Business Administration. Together with Bruce L. Bowerman, he has written seven textbooks. These include Forecasting and Time Series: An Applied Approach and Linear Statistical Models: An Applied Approach. He is one of the first college instructors in the United States to integrate statistical process control and process improvement methodology into his basic business statistics course. He (with Professor Bowerman) has written several articles advocating this approach.
James Burdeane “Deane” Orris J.B. Orris is a professor of management science at Butler University in Indianapolis, Indiana. He received his Ph.D. from the University of Illinois in 1971, and in the late 1970s with the advent of personal computers, he combined his interest in statistics and computers to write one of the first personal computer statistics packages—MICROSTAT. Over the past 20 years, MICROSTAT has evolved into MegaStat, which is an Excel add-in statistics program. In 1999 he wrote an Excel book (Essentials: Excel 2000 Advanced) and has done work in neural networks, spreadsheet simulation, and statistical analysis for many research projects. He has taught statistics and computer courses in the College of Business Administration of Butler University since 1971. He is a member of the American Statistical Association and is past president of the Central Indiana Chapter. In his spare time, Professor Orris enjoys reading, working out, and working in his woodworking shop.