Marketing Research Methods
Quantitative and Qualitative Approaches
£54.99
- Authors:
- Mercedes Esteban-Bravo, Universidad Carlos III de Madrid
- Jose M. Vidal-Sanz, Universidad Carlos III de Madrid
- Date Published: January 2021
- availability: In stock
- format: Paperback
- isbn: 9781108792691
£
54.99
Paperback
-
Covering both quantitative and qualitative methods, this book examines the breadth of modern market research methods for upper level students across business schools and social science faculties. Modern and trending topics including social networks, machine learning, big data, and artificial intelligence are addressed and real world examples and case studies illustrate the application of the methods. This text examines potential problems, such as researcher bias, and discusses effective solutions in the preparation of research reports and papers, and oral presentations. Assuming no prior knowledge of statistics or econometrics, discrete chapters offer a clear introduction to both, opening up the quantitative methods to all students. Each chapter contains rigorous academic theory, including a synthesis of the recent literature as well as key historical references, applied contextualization and recent research results, making it an excellent resource for practitioners. Online resources include extensive chapter bibliographies, lecture slides, an instructor guide and extra extension material and questions.
Read more- Provides students with higher-level and comprehensive examination of all methods in the field, including recent innovations such as, social networks, machine learning, big data, and artificial intelligence, and contextualises developments in market research from all social sciences
- Illustrates methods and connects theory with practice through multiple examples and case studies that show students real-world application, and prepares them for practice by discussing the preparation of research reports, papers, and oral presentations, and examining the effect of researcher bias on reading and interpreting research findings
- Written to be accessible to students with an intermediate level of algebra and calculus, or a non-finance background, self-contained chapters on statistical and econometric market research tools clearly and comprehensively explain the quantifiable methods of market research
- To allow students to engage with the broader academic field, multiple references for each
Reviews & endorsements
'Mercedes and Jose have written a comprehensive and modern book on marketing research methods that covers classical approaches as well as new methods such as machine learning and artificial intelligence. Using real-life examples and case studies, the book illustrates complex methods with great clarity. It is a highly valuable resource for all teachers, students, and practitioners of market research.' Sunil Gupta, Harvard Business School, University of Harvard
See more reviews'This book is an amazing combination of traditional and newer topics presented in an accessible style filled with examples. I especially liked the coverage of new topics like machine learning and the discussions of issues like causality. A wonderful resource for teachers, students, and practitioners.' Donald R. Lehmann, Columbia Business School, Columbia University
'The depth, breadth, and relevance of the work presented make the book unique, and a must-have as a key reference in advanced social and marketing research methods.' Mesfin Habtom, London Metropolitan University, UK
'Excellent and solidly founded guide for practitioners and scholars to develop social and market research. From the definition of objectives, through the compilation and analysis of qualitative and quantitative information, to the reporting of results and conclusions, a rigorous, advanced, as well as comprehensible description of most relevant modern processes and techniques involved in market research is provided.' Óscar González-Benito, Universidad de Salamanca
'Due to the increasing number of data sources to which companies have access, marketing and marketing research are changing fundamentally. Marketing managers and marketing researchers need to have extensive knowledge not only of traditional market research methods but also of the latest quantitative and qualitative methods. Mercedes Esteban-Bravo and Jose M. Vidal-Sanz present and summarize in this book - in a very intuitive, comprehensive, and applied way - traditional and newest methods of market research. Specifically, the authors manage to bridge the gap between traditional methods, such as regression analysis, and machine learning and artificial intelligence. Complex methods of computational statistics, machine learning, and artificial intelligence are illustrated in real-world examples. The wide range of methods and the way they are presented make this book a must for anyone interested in how companies can create value from (large) data available for various marketing purposes.' Florian Stahl, University of Mannheim
'Proliferation of data has provided numerous opportunities for marketing professionals to transform their businesses. Esteban-Bravo and Vidal-Sanz provide managers, policymakers, and scholars with an excellent roadmap that helps them to understand the old, the modified, and the new research methods. These methods are necessary to transform data from the market into insights and, in turn, value for consumers, firms, and society.' Oded Koenigsberg, London Business School
Customer reviews
Not yet reviewed
Be the first to review
Review was not posted due to profanity
×Product details
- Date Published: January 2021
- format: Paperback
- isbn: 9781108792691
- length: 882 pages
- dimensions: 245 x 187 x 40 mm
- weight: 1.87kg
- availability: In stock
Table of Contents
Part I. Research Methods:
1. Introduction to Social and Marketing Research
Part II. Qualitative Methods:
2. Qualitative Research Based on Direct Questioning
3. Indirect Questioning in Qualitative Research
4. Observation Methods
Part III. Quantitative Data Analysis:
5. Uncertainty and Probability
6. Statistical Analysis I: Parameters and Estimation
7. Statistical Analysis II: Confidence Regions and Hypothesis Testing
8. Regression Analysis I: General Linear Model
9. Regression Analysis II: Flexible Methods and Machine Learning
10. Multivariate Statistics and Econometrics
Part IV. Quantitative Data Collection:
11. Quantitative Measurement
12. Sampling Methods
13. Surveys and Questionnaires Design
14. Experimental Research
Part V. Research Planning and Reporting:
15. Planning Social Research
16. Reporting Social and Market Research Studies
17. Afterword.
Sorry, this resource is locked
Please register or sign in to request access. If you are having problems accessing these resources please email lecturers@cambridge.org
Register Sign in» Proceed
You are now leaving the Cambridge University Press website. Your eBook purchase and download will be completed by our partner www.ebooks.com. Please see the permission section of the www.ebooks.com catalogue page for details of the print & copy limits on our eBooks.
Continue ×Are you sure you want to delete your account?
This cannot be undone.
Thank you for your feedback which will help us improve our service.
If you requested a response, we will make sure to get back to you shortly.
×