Efnisyfirlit

• Copyright
• Preface
• Acknowledgements
• About the author
• Online resources
• Create
• Study skills
• Guided tour
• PART 1 Essentials of research
  • 1 The nature of business and management research
    • 1.1 Why study research?
    • 1.2 What is research?
    • 1.3 Is research always problem-solving based?
    • 1.4 What makes good research?
    • 1.5 Research philosophies
    • 1.6 Scientific reasoning
    • 1.7 Understanding theory: components and connections
    • 1.8 Propositions and hypotheses
    • 1.9 Theory
    • Running Case Study 1
    • Summary
    • Discussion questions
    • Recommended further reading
  • 2 The research process and proposal
    • 2.1 The research process
    • 2.2 Management research and measurement questions
    • 2.3 Research process
    • 2.4 The research proposal
    • Running Case Study 2
    • Summary
    • Discussion questions
    • Recommended further reading
  • 3 Literature review
    • 3.1 Aims and objectives of a review
    • 3.2 Assessment of a ‘good’ literature review
    • 3.3 Critical review
    • 3.4 Process and organization
    • 3.5 Literature review as independent scientific contribution
    • Running Case Study 3
    • Summary
    • Discussion questions
    • Recommended further reading
  • 4 Ethics in business research
    • 4.1 What are research ethics?
    • 4.2 Ethical treatment of participants
    • 4.3 Data collection in cyberspace
    • 4.4 Ethics and the sponsor
    • 4.5 Researchers and team members
    • 4.6 Ethical obligations to the research community
    • 4.7 Ethical approval procedures
    • Running Case Study 4
    • Summary
    • Discussion questions
    • Recommended further reading
• PART 2 Research methods
  • 5 Quantitative and qualitative research
    • 5.1 Qualitative and quantitative studies
    • 5.2 Research design classifications
    • 5.3 Exploratory, descriptive and causal studies
    • Running Case Study 5
    • Summary
    • Discussion questions
    • Recommended further reading
  • 6 Sampling strategies
    • 6.1 Unit of analysis
    • 6.2 The nature of sampling
    • 6.3 Sample versus census
    • 6.4 Types of sample design
    • 6.5 Steps in sampling design
    • 6.6 Complex probability sampling
    • 6.7 Non-probability sampling
    • 6.8 Sampling on the Internet
    • Running Case Study 6
    • Summary
    • Discussion questions
    • Recommended further reading
  • 7 Primary data collection with surveys
    • 7.1 Characteristics of data collection
    • 7.2 Characteristics of the communication approach
    • 7.3 Choosing a communication method
    • 7.4 Communication methods compared
    • 7.5 Personal interviews
    • 7.6 Telephone interviews
    • 7.7 Self-administered surveys
    • 7.8 Web-based surveys
    • 7.9 Structured observations
    • Running Case Study 7
    • Summary
    • Discussion questions
    • Recommended further reading
  • 8 Primary data collection: qualitative data
    • 8.1 Qualitative interviews
    • 8.2 Focus groups
    • 8.3 Participant observation
    • Running Case Study 8
    • Summary
    • Discussion questions
    • Recommended further reading
  • 9 Secondary data and archival sources
    • 9.1 Secondary data
    • 9.2 Sources of secondary data
    • 9.3 How to use secondary data efficiently
    • 9.4 Secondary data in qualitative research
    • 9.5 Data-mining
    • Running Case Study 9
    • Summary
    • Discussion questions
    • Recommended further reading
  • 10 Content analysis and other qualitative approaches
    • 10.1 Content analysis
    • 10.2 Narrative analysis
    • 10.3 Ethnographic studies
    • 10.4 Action research
    • 10.5 Grounded theory
    • Running Case Study 10
    • Summary
    • Discussion questions
    • Recommended further reading
  • 11 Case studies
    • 11.1 Case study objectives
    • 11.2 The richness of multiple evidence sources
    • 11.3 How to conduct good case study research
    • Running Case Study 11
    • Summary
    • Discussion questions
    • Recommended further reading
  • 12 Experimentation
    • 12.1 What is experimentation?
    • 12.2 An evaluation of experiments
    • 12.3 Conducting an experiment
    • 12.4 Validity in experimentation
    • 12.5 Experimental research designs
    • Running Case Study 12
    • Summary
    • Discussion questions
    • Recommended further reading
• PART 3 Research instruments
  • 13 Fieldwork: questionnaires and responses
    • 13.1 Developing the instrument design strategy
    • 13.2 The management research question hierarchy revisited: phase 1
    • 13.3 Constructing and refining the measurement questions: phase 2
    • 13.4 Question content
    • 13.5 Response strategy
    • 13.6 Sources of existing questions
    • 13.7 Drafting and refining the instrument: phase 3
    • Running Case Study 13
    • Summary
    • Discussion questions
    • Recommended further reading
  • 14 Measurement and scales
    • 14.1 The nature of measurement
    • 14.2 Data types
    • 14.3 Sources of measurement differences
    • 14.4 Characteristics of sound measurement
    • 14.5 The nature of measurement scales
    • 14.6 Response methods
    • 14.7 Measurement scale construction
    • Running Case Study 14
    • Summary
    • Discussion questions
    • Recommended further reading
  • 15 Writing up and presenting research outcomes
    • 15.1 The written research report
    • 15.2 Research report components
    • 15.3 Writing the report
    • 15.4 Presentation considerations
    • 15.5 Oral presentations
    • Running Case Study 15
    • Summary
    • Discussion questions
    • Recommended further reading
• Glossary
• Index
• PART 4 Statistical background
  • 16 Data preparation and description
    • 16.1 Introduction
    • 16.2 Editing
    • 16.3 Useful rules for editing
    • 16.4 Data entry
    • 16.5 Descriptive statistical summaries
    • Summary
    • Discussion questions
    • Recommended further reading
  • 17 Exploring, displaying and examining data
    • 17.1 Introduction
    • 17.2 Exploratory data analysis
    • Summary
    • Discussion questions
    • Recommended further reading
  • 18 Hypothesis testing
    • 18.1 Introduction
    • 18.2 Hypothesis testing
    • 18.3 Statistical testing procedures
    • 18.4 Tests of significance
    • Summary
    • Discussion questions
    • Recommended further reading
  • 19 Measures of association
    • 19.1 Introduction
    • 19.2 Bivariate correlation analysis
    • 19.3 Non-parametric measures of association
    • Summary
    • Discussion questions
    • Recommended further reading
  • 20 Multivariate analysis: an overview
    • 20.1 Introduction
    • 20.2 Selecting a multivariate technique
    • 20.3 Dependency techniques
    • 20.4 Interdependency techniques
    • Summary
    • Discussion questions
    • Recommended further reading
  • 21 Qualitative data analysis: an overview
    • 21.1 Qualitative data analysis
    • 21.2 Coding
    • 21.3 Analysis tools
    • 21.4 Computer-assisted qualitative data analysis
    • Summary
    • Discussion questions
    • Recommended further reading
• Appendices
  • A Core business reference sources, printed and electronic
  • B Decision theory problem
  • C Sample student term project
  • D Non-parametric significance tests
  • E Selected statistical tables
• Cases
  • 1 A GEM of a study
  • 2 Can this study be saved?
  • 3 Inquiring minds want to know – NOW!
  • 4 Highland Bank: teeing-up a new strategic direction
  • 5 Ramada demonstrates its personal best
  • 6 Women getting equal in public services

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