You are a first-year master’s student of UPSA working with your colleagues on a group term paper that examines the relationship between working capital management and firm performance. You are reviewing the draft report for submission and you notice that the data summarized in one of the tables are not consistent with the raw data you collected. Specifically, the data presented in that table make some of the firms’ performance look better than would be observed had the true data been used. You brought this to the attention of your group mates and they told you that some statistical adjustments had to be applied to “improve” the data. They added that these statistical adjustments are standard and have been validated, and that you should not worry about these apparent discrepancies. Reqquired: What are the ethical considerations in this case study? What are your responsibilities as a group member for understanding the analyses performed on the data?

Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
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You are a first-year master’s student of UPSA working with your colleagues on a group term paper that examines the relationship between working capital management and firm performance. You are reviewing the draft report for submission and you notice that the data summarized in one of the tables are not consistent with the raw data you collected. Specifically, the data presented in that table make some of the firms’ performance look better than would be observed had the true data been used. You brought this to the attention of your group mates and they told you that some statistical adjustments had to be applied to “improve” the data. They added that these statistical adjustments are standard and have been validated, and that you should not worry about these apparent discrepancies.

Reqquired:

  1. What are the ethical considerations in this case study?
  2. What are your responsibilities as a group member for understanding the analyses performed on the data?
  3. Should you investigate this further? If so, what steps would you take?
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