Researching and Analysing Business

Pantea Foroudi (PhD, SFHEA, MSc (Honours), MA, BA (Honours)) is the business manager and solution architect at Foroudi Consultancy and is Associate Professor and Head of Research Group (Marketing and Corporate Brand Management) at Brunel Business School, London. She has been recognised as first in “top Scholarly output” in the UK and all of Europe; fourth in the world for the year range from 2016 to 2021 (December 2021). Pantea has been working in the field of design, branding, and marketing since 1996, and she has experience as a creative innovator and practical problem-solver in visual identity, graphic design, and branding in different sectors. Her primary research interest has focused on consumer behaviour from a multidisciplinary approach based on two research streams: (i) corporate brand design and identity; and (ii) sustainable development goals (SDGs). Pantea has been published widely in international academic journals, such as the British Journal of Management, Journal of Business Research, European Journal of Marketing, International Journal of Hospitality Management, and others. She is the associate/senior editor of the International Journal of Hospitality Management, Journal of Business Research, International Journal of Hospitality Management, International Journal of Management Reviews, International Journal of Contemporary Hospitality Management, and European Journal of International Management (EJIM), among othersCharles Dennis is Professor of Consumer Behaviour at The Business School, Middlesex University (UK) and Associate Editor in the Marketing section of the Journal of Business Research. His main teaching and research area is (e–)retail and consumer behaviour – the vital final link of the Marketing process. Charles qualified as a Chartered Marketer, elected a Fellow of the Chartered Institute of Marketing for helping to modernise the teaching of the discipline. He was awarded the Vice Chancellor’s Award for Teaching Excellence for improving the interactive student learning experience at Brunel University. He has published in journals such as Journal of International Marketing, Journal of Business Research, Computers in Human Behavior, Psychology & Marketing, Information Technology & People, International Journal of Electronic Commerce, and European Journal of Marketing.

• 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.

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