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MGT2251: Case Competition Research Guide


You are expected to evaluate the quality of all the information you find, even content from name-brand providers like Bloomberg. 

While almost all numeric data provided by databases available in the FLC and through the library can be trusted, other content - like company and industry reports & analysis, or company and industry news - should be reviewed carefully.  If you are using materials from the Web, this is even MORE important.

Think about the following:

  • Expertise:  Does the author(s) or individuals cited (in case of an article) have any industry, subject or technical expertise?
  • Bias:  Is there a particular agenda or perspective that is being advocated that is not supported by the data or facts?  How neutral or independent is/are the author(s)?
  • Discrepancies:  Does the headline match the facts or data being referenced?
  • Date:  How current is the content?
  • References:  Does the content cite or appropriately reference the data that it uses?
  • Reputation:  Some sources over time have a reputation for credible, insightful analysis - does the source you are using have this reputation?
  • Methodology:  Do the models, surveys or other studies conducted explain the methodology used?  What assumptions do they make?  If sampling is involved, is the sample size and construction appropriate?