Summary Class notes - Research skills

- Research skills
- -
- 2019 - 2020
- Tilburg University (Tilburg University, Tilburg)
- Supply Chain Management
124 Flashcards & Notes
1 Students
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Summary - Class notes - Research skills

  • 1559340000 Research design

  • Research design:
    1. What are you doing and why?
    2. Clear explanation of and argumentation for your chosen research strategy (case, survey, etc). 
    3. Consider all research questions
    4. MSC Thesis: always literature + empirical part

  • Research design is much more than data collection!
    First you need to decide about what steps to take, second you decide what data you need for carrying out these steps. 

  • This research design contains a lot of general remarks that would fit to ’any’ research. Describe what is specific for your research! 
  • 1559426400 Data collection

  • Data collection:
    1. What data do you need to collect
    2. Where / from who?
    3. How are you going to collect this data?
    4. Do not forget to motivate all your decisions
    5. You need to get access to the data, show that your research plan is really feasible. 
  • Common mistake 1:

    Not enough detail:
    - How many retailers? Why?
    - How where the retailers selected? (What criteria were used?) - What observations?
  • Reliability & validity
    1. Concept validity: match theory and research
    2. Internal validity: research and data
    3. Reliability: research and data
  • Research onion
    1. Techniques and procedures
    2. Time horizons
    3. Choices
    4. Strategies
    5. Approaches
    6. Philosophies
  • Case study
    1. An approach to study particular entities and phenemona
    2. Studies in an natural environment: Case context
    3. in-depth: many aspects in detail
    4. Involves an wide range of data sources & methods of data collection and analysis
  • Criticism to case studies:
    1. only anecdotal description
    2. no real scientific research, 
    3. “consultant approach” 
    4. “too qualitative”

    Criticism in place if methodology is not taken seriously 
  • 'too qualitative'
    1. A case study does not have to be (only) qualitative
    2. Case studies may be too complex for quantitative research
    3. Case study often good start to conduct more quantitative research 
  • Data (WHAT?)
    Appropriate data -> alignment problem to data
  • whit appropiate data (HOW?)
    1. Data collection methods -> primary and secondary data
    2. Research skills -> reliability
    3. Data source -> sampling
  • How do you know what data to collect?
    1. Data about the relevant processes at the company
    2. From your theoretical framework..

    You should only collect data that could be relevant for your problem! 
  • Observations
    1. Different levels of participation (Gill and Johnson, 2002): 
    2. Different levels of structure: unstructured/structured observation
    3. Almost always used in combination with other types of data collection (especially interviews).

    Observations are not watching/being present/working. Design! 
  • Interviews
    “Purposeful discussion between 2 or more people” (Kahn and Cannell) 
    • Tape-recording?
    • The more interviews the better? 
  • Theoretical framework

    • Use your conceptual model to find (more) literature.

    • Use academic literature from your own expertise area.
    • Requirement: concept validity.
    • Based on the theoretical relation of the conceptual model.  Both concepts
       Relation between the concepts 

  • Theoretical framework (2)

    • A theoretical framework is not just a summary of what is written about the problem in the literature! You need to reflect on/analyze the information you take from the articles.
    • Make a story in your own words (but take care to stick to the facts..). Do not forget that a story contains a storyline!
    • The theoretical framework you build is the basis for your empirical study:
       Interview questions
       Coding scheme for your data analysis (Step 5, week 5). 
  • How to build a theoretical framework?

    1. Which articles to select? (Review and empirical articles)
    2. How to assess quality? (Impact factor, type of journal and study) 
    3. Show your search process (search terms etc)
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