About the Author:
Tom J. Brown is Noble Foundation Chair in Marketing Strategy and Professor of Marketing in the Spears School of Business at Oklahoma State University. In addition, he serves as Director of the Center for Customer Interface Excellence in the Spears School. He received his Ph.D. from the University of Wisconsin-Madison. Dr. Brown teaches marketing research and has supervised hundreds of student research projects for industry clients ranging from not-for-profit service organizations to Fortune 500 companies. Dr. Brown is a past recipient of the Sheth Foundation Best Paper Award in the Journal of the Academy of Marketing Science. In addition, he received a Richard D. Irwin Foundation Doctoral Dissertation Fellowship while at the University of Wisconsin, the Kenneth D. and Leitner Greiner Teaching Award, and the Regents Distinguished Research Award, both at Oklahoma State University. In addition, he was recognized as an International Research Fellow at the University of Oxford for his work on corporate reputation. Dr. Brown's articles have appeared in the Journal of Marketing Research, Journal of Marketing, Journal of Consumer Research, Journal of Applied Psychology, Journal of Retailing, and Journal of Service Research. His current research interests include organizational frontline research (e.g., customer orientation of frontline employees; customer influences on frontline employees) and causes and effects of corporate associations (e.g., reputation, identity). He is cofounder of the Corporate Associations/Identity Research Group as well as the Organizational Frontlines Research Symposia series. He is active in the American Marketing Association, having co-chaired multiple national conferences, co-hosted the AMA/Sheth Doctoral Consortium, and served as president of the Academic Council. In addition, he serves in a leadership role at Sunnybrook Christian Church.
Review:
BRIEF CONTENTS. PART I: INTRODUCTION TO MARKETING RESEARCH AND PROBLEM FORMULATION. 1. The Role of Marketing Research. 2. The Research Process and Ethical Concerns. 3. Problem Formulation. 4. Exploratory Research. PART II: Working with Existing Information to Solve Problems. 5. Decision Support Systems: Introduction. 6. Decision Support Systems: Working with "Big Data". 7. Using External Secondary Data. PART III: COLLECTING PRIMARY DATA TO SOLVE PROBLEMS. 8. Causal Research. 9. Collecting Descriptive Primary Data. 10. Collecting Data by Observation. 11. Collecting Data by Communication. 12. Asking Good Questions. 13. Designing the Data Collection Form. 14. Developing the Sampling Plan. 15. Data Collection: Enhancing Response Rates while Limiting Errors. PART IV: ANALYZING DATA. 16. Data Preparation for Analysis. 17. Analysis and Interpretation: Individual Variables Independently. 18. Analysis and Interpretation: Multiple Variables Simultaneously. PART IV: REPORTING THE RESULTS. 19. The Oral Research Presentation. 20. The Written Research Report. Appendix. Endnotes. Glossary. Index.
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