Sales Forecasting Management: A Demand Management Approach / Edition 2

Sales Forecasting Management: A Demand Management Approach / Edition 2

by John T. Mentzer, Mark A. Moon
ISBN-10:
1412905710
ISBN-13:
9781412905718
Pub. Date:
11/23/2004
Publisher:
SAGE Publications
ISBN-10:
1412905710
ISBN-13:
9781412905718
Pub. Date:
11/23/2004
Publisher:
SAGE Publications
Sales Forecasting Management: A Demand Management Approach / Edition 2

Sales Forecasting Management: A Demand Management Approach / Edition 2

by John T. Mentzer, Mark A. Moon
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Overview

Incorporating 25 years of sales forecasting management research with more than 400 companies, Sales Forecasting Management, Second Edition is the first text to truly integrate the theory and practice of sales forecasting management. This research includes the personal experiences of John T. Mentzer and Mark A. Moon in advising companies how to improve their sales forecasting management practices. Their program of research includes two major surveys of companies' sales forecasting practices, a two-year, in-depth study of sales forecasting management practices of 20 major companies, and an ongoing study of how to apply the findings from the two-year study to conducting sales forecasting audits of additional companies. The book provides comprehensive coverage of the techniques and applications of sales forecasting analysis, combined with a managerial focus to give managers and users of the sales forecasting function a clear understanding of the forecasting needs of all business functions.

Product Details

ISBN-13: 9781412905718
Publisher: SAGE Publications
Publication date: 11/23/2004
Edition description: Second Edition
Pages: 368
Product dimensions: 6.00(w) x 9.00(h) x (d)

About the Author

Dr. John T. (Tom) Mentzer is the Harry J. and Vivienne R. Bruce Chair of Excellence in Business in the Department of Marketing, Logistics and Transportation at the University of Tennessee. He has written more than 170 papers and articles, which have appeared in the Journal of Marketing, Journal of the Academy of Marketing Science, the Journal of Macro Marketing, Industrial Marketing Management, the Journal of Marketing Education, the Columbia Journal of World Business, Research in Marketing, Social Indicators Research, the International Journal of Physical Distribution and Materials Management, the Journal of Business Logistics, the Logistics and Transportation Review, Transportation Journal, the Journal of Business Research, Advances in Business Research, the Journal of Forecasting, the Journal of Business Forecasting, and numerous conference proceedings. He has co-authored five books: SUPPLY CHAIN MANAGEMENT, SALES FORECASTING MANAGEMENT, SIMULATED PRODUCT SALES FORECASTING, MARKETING TODAY, and READINGS IN MARKETING TODAY and edited the monograph MARKETING EDUCATION SOFTWARE. Dr. Mentzer was recognized in 1996 as one of the five most prolific authors in the Journal of the Academy of Marketing Science, and in 1999 as the most prolific author in the Journal of Business Logistics. He was awarded the Academy of Marketing Science Outstanding Marketing Teacher Award in 2001.

Mark Moon is an Associate Professor of Marketing at the University of Tennessee, Knoxville. He earned his Ph.D. from the University of North Carolina at Chapel Hill, and his MBA and BA degrees from the University of Michigan. Mark’s professional experience includes positions in sales and marketing with IBM and Xerox. He has been a member of UT’s sales forecasting research team since 1996, and since that time, has published numerous articles on best practices in forecasting. Mark has played a key role in Phase 4 of the Sales Forecasting Benchmarking Studies, and has worked with 23 different companies to audit their forecasting practices.

Table of Contents

PREFACE
1. MANAGING THE SALES FORECASTING PROCESS
INTRODUCTION
A DEMAND MANAGEMENT APPROACH TO SALES FORECASTING
SALES FORECASTING MANAGEMENT
FORECASTS VERSUS PLANS VERSUS TARGETS
THE ROLE OF SALES FORECASTING IN SALES AND OPERATIONS PLANNING (S&OP)
WHY IS A SALES FORECAST NEEDED?
SUMMARY: ORGANIZATIONAL SALES FORECASTING NEEDS
THE TOOLS OF SALES FORECASTING MANAGEMENT
SALES FORECASTING MANAGEMENT QUESTIONS
SALES FORECASTING AND PLANNING: AN ITERATIVE PROCESS
FUNCTIONAL SILOS
OVERVIEW OF THIS BOOK OVERVIEW OF THIS BOOK
2. SALES FORECASTING PERFORMANCE MEASUREMENT
INTRODUCTION
SALES FORECASTING ACCURACY
SALES FORECOSTING COSTS
CUSTOMER SATISFACTION
PUTTING IT ALL TOGETHER—A FORECASTING ROI DECISION
CONCLUSIONS
3. TIMES SERIES FORECASTING TECHNIQUES
INTRODUCTION
FIXED-MODEL TIME SERIES TECHNIQUES
FIXED MODEL TIME SERIES TECHNIQUES SUMMARY
OPEN-MODEL TIME SERIES TECHNIQUES
SUMMARY
4. REGRESSION ANALYSIS
INTRODUCTION
HOW REGRESSION ANALYSIS WORKS
THE PROCESS OF REGRESSION ANALYSIS FOR FORECASTING
FURTHER EVALUATION OF CANDIDATE MODELS
MODEL VALIDATION
AN EXAMPLE
CONCLUSION
NOTES
5. QUALITATIVE SALES FORECASTING
INTRODUCTION
QUALITATIVE FORECASTING: ADVANTAGES AND PROBLEMS
SUMMARY: QUALITATIVE TECHNIQUE ADVANTAGES AND PROBLEMS
QUALITATIVE TECHNIQUES AND TOOLS
MARKET RESEARCH TOOLS FOR QUALITATIVE FORECASTING
DECISION ANALYSIS TOOLS FOR QUALITATIVE FORECASTING
SUMMARY
APPENDIX
6. SALES FORECASTING SYSTEMS
INTRODUCTION
THE SALES FORECASTING SYSTEM AS A COMMUNICATION VEHICLE
MULTICASTER
SALES FORECASTING SYSTEMS: SUMMARY
APPENDIX
7. BENCHMARK STUDIES: THE SURVEYS
INTRODUCTION
STUDIES PRIOR TO PHASE 1
PHASE 2 METHODOLOGY
FINDINGS COMPARING PHASE 1 TO PHASE 2
CONCLUSIONS FROM COMPARING PHASE 1 AND PHASE 2
SALES FORECASTING SYSTEMS
SALES FORECASTING MANAGEMENT
FORECASTING IN CONSUMER VERSUS INDUSTRIAL MARKETS
CONCLUSIONS: INDUSTRIAL VERSUS CONSUMER FORECASTING
CONCLUSIONS FROM PHASE 2
8. BENCHMARK STUDIES: WORLD-CLASS FORECASTING
INTRODUCTION
FUNCTIONAL INTEGRATION
APPROACH
SYSTEMS
PERFORMANCE MEASUREMENT
CONCLUSIONS
APPENDIX: SALES FORECASTING AUDIT PROTOCOL
9. BENCHMARK STUDIES: CONDUCTING A FORECASTING AUDIT
INTRODUCTION
THE ROLE OF AUDITING
MANAGEMENT RESPONSE TO AUDITS
CONCLUSIONS
10. MANAGING THE SALES FORECASTING FUNCTION
INTRODUCTION
THE ROLE OF THE SALES FORECASTING CHAMPION
THE SEVEN KEYS TO BETTER FORECASTING
WHY THE CEO SHOULD CARE
THE CEO SHOULD CARE AT TELLABS
CONCLUSIONS
REFERENCES
INDEX
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