Researching and Analysing Business (eBook, PDF)
Research Methods in Practice
Redaktion: Foroudi, Pantea; Dennis, Charles
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Researching and Analysing Business (eBook, PDF)
Research Methods in Practice
Redaktion: Foroudi, Pantea; Dennis, Charles
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Researching and Analysing Business provides an accessible and practical guide to various data collection and data analysis techniques within management, from both quantitative and qualitative perspectives.
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Researching and Analysing Business provides an accessible and practical guide to various data collection and data analysis techniques within management, from both quantitative and qualitative perspectives.
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Produktdetails
- Produktdetails
- Verlag: Taylor & Francis
- Seitenzahl: 456
- Erscheinungstermin: 14. Dezember 2023
- Englisch
- ISBN-13: 9781003803164
- Artikelnr.: 69495520
- Verlag: Taylor & Francis
- Seitenzahl: 456
- Erscheinungstermin: 14. Dezember 2023
- Englisch
- ISBN-13: 9781003803164
- Artikelnr.: 69495520
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
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 others Charles 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.
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.
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.
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.