Efnisyfirlit

• Cover
• Title Page
• Copyright
• Contents
• Introduction
• PART ONE  Planning your project
• 01  The nature of business research
• What is scholarly literature?
• How do I develop a good research question (RQ)?
• How may I use scholarly literature in my project?
• How may I use theory?
• 02  Methodology and methods
• What is research methodology?
• What has methodology got to do with research methods?
• How may I design my research?
• How should I use my ‘case study’?
• What research methods should I use for my project?
• PART TWO  ‘Doing’ your project
• 03  The project proposal
• Project proposals
• Contents of a project proposal
• Critical and analytical thinking
• Prior planning prevents poor performance
• 04  Collecting quantitative data
• Finding quantitative data
• Secondary data
• Primary data
• Designing a successful survey
• Methods of collecting survey data
• Designing your questionnaire
• 05  Collecting qualitative data through interviews
• Interviewing types and design
• Focus groups
• Interviewing references and further websites
• Chapter appendix: Interview Protocol
• 06  Collecting data as an ethnographer
• Participant observation
• Non-participative observation
• 07  Case study research
• Objectives
• The case study
• Using deductive theory in case studies
• Cross-sectional case study design
• Longitudinal case study design
• Case study tactics adopted for design quality
• 08  Collecting data: less common methods
• Mixed methods research
• Social network analysis
• Action research
• Delphi method
• Participant and non-participant observation
• How to use crowdsourcing as a research tool
• How to use a repertory grid
• 09  Ensuring data saturation
• Validity of quantitative data
• Reliability of quantitative data
• Significance of quantitative data
• PART THREE  Reporting your findings
• 10  Analysing quantitative data
• Measures of central tendency
• Measures of spread
• Some notes on statistical testing
• Variables: dependent and independent
• 11  Analysing qualitative data
• Coding text
• Checking
• Causal mapping
• Software for coding
• PART FOUR  Writing your report
• 12  Discussing project findings
• Flawed reasoning
• 13  Conclusion to your report
• How to begin your conclusion
• Lessons to be learnt
• Recommendations
• 14  Reference lists
• 15  Writing your abstract
• 16  Conclusion
• Research question
• Knowledge of cutting-edge research and theory
• Research tools
• Index