Researching and Analysing Business : Research Methods in Practice (Paperback)

Chapter 1. Introduction: Research Methods in Business and Management: Theoretical and Practical Perspectives.?Chapter 2. Mixed-methods approach: Combining qualitative & quantitative methods. Part 1 - SYSTEMATIC LITERATURE REVIEW. Chapter 3. Bibliometric Analysis: Main procedure and guidelines. Chapter 4. Systematic literature review: main procedures and guidelines for interpreting the results. Part 2 - QUALITATIVE. Chapter 5. Grounded Theory: What, Why and How. Chapter 6. Applying Netnographic Approach to Qualitative Research. Chapter 7. Qualitative approaches: Case study research.?Chapter 8. Conducting qualitative management research with semi-structured interviews: From planning to interpretation. Chapter 9. Qualitative Data Analysis: Using Thematic Analysis. Chapter 10. Qualitative Data Analysis: Using NVivo.?Chapter 11. Text Mining and Topic Modelling.?Chapter 12. Delphi method - A practical guide for verifying and validating novel developments. Chapter 13. Eye-Tracking: collecting data; managing, and process, analysis and interpretation. Chapter 14. Semiotic analysis in financial markets. Chapter 15. Critical Discourse Analysis.?Chapter 16. Qualitative research methods to capture emerging visual social media culture. Chapter 17. Online data analysis: Sentiment analysis with Python.?Part 3 - QUANTITATIVE. Chapter 18. Non-response bias & common method bias in survey research.?Chapter 19. Scale Formation: Scale Reliability Analysis and Exploratory Factor Analysis. Chapter 20. Partial Least Squares Structural Equation Modeling: A Nontechnical and Practical Guide. Chapter 21. Addressing endogeneity in survey research: Application of two-stage least squares (2SLS) regression analysis. Chapter 22. Big Data in Marketing Intelligence. Chapter 23. Panel Data and Accounting context. Chapter 24. Fuzzy-Set Qualitative Comparative Analysis: Introduction to a Configurational Approach. Chapter 25. Title: Fuzzy Analytic hierarchy Process: A Simplified Approach.?Chapter 26. Quantitative research with R programming language used in Marketing Research.