Marketing research : applied insight

Bibliographic Information

Marketing research : applied insight

Daniel Nunan, David F. Birks, Naresh K. Malhotra

Pearson, 2020

6th ed

  • : print

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Includes indexes

Description and Table of Contents

Description

For undergraduate, postgraduate and MBA students, this highly successful textbook is an essential guide to Marketing Research. Understand theory and application of marketing research in a European context Marketing Research: Applied Insight, 6th Edition, by Nunan, Birks and Malhotra is the leading marketing research text focused on the key challenges facing marketing research in a European context. This comprehensive text offers a clear explanation and discussion of concepts, and a wealth of European and international case material showing how researchers apply concepts and techniques. It also integrates with online resources for students including key discussion points. This book supports both qualitative and quantitative research methods through: Introducing the transactional stages of marketing research of problem definition, developing approach and design, data collection, analysis and communicating the research findings Using real research case studies of how companies address specific managerial problems and implement research, as well as real-life marketing situations and exercises to tackle in every chapter Applying marketing research to current marketing challenges such as social media, mobile marketing, customer value, experiential marketing, satisfaction, loyalty, customer equity, brand equity and management, relationship marketing, creativity and design, and socially responsible marketing Pearson, the world's learning company.

Table of Contents

1. Introduction to marketing research and insight 2. Defining the research problem and developing a research approach 3. Research design 4. Secondary data collection and analysis 5. Internal secondary data and analytics 6. Qualitative research: its nature and approaches 7. Qualitative research: focus group discussions 8. Qualitative research: in-depth interviewing and projective techniques 9. Qualitative research: data analysis 10. Survey and quantitative observation techniques 11. Causal research design: experimentation 12. Measurement and scaling: fundamentals, comparative and non-comparative scaling 13. Questionnaire design 14. Sampling: design and procedures 15. Sampling: determining sample size 16. Survey fieldwork 17. Social media research 18. Mobile research 19. Data integrity 20. Frequency distribution, cross-tabulation and hypothesis testing 21. Analysis of variance and covariance 22. Correlation and regression 23. Discriminant and logit analysis 24. Factor analysis 25. Cluster analysis 26. Multidimensional scaling and conjoint analysis 27. Structural equation modelling and path analysis 28. Communicating research findings 29. Business-to-business (b2b) marketing research 30. Research ethics, privacy and trust Glossary

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