Johanna applied for a job with Freedonia Publishing, a public company that oversees 7 newspapers across the United States. Upon receiving her job, Freedonia Publishing assigned her to a small….
Data availability, feasibility of completing the Discovery in the course of one semester
Individual students will propose their ideas for Discoveries in short (ten minute) presentations
Guidelines for proposals: The first five minutes of your proposal should be devoted to why your Discovery is interesting, important and relevant, and the second five minutes to its feasibility (data availability, feasibility of completing the Discovery in the course of one semester, etc.). Ideas do not have to be specific to business or accounting, but should have some business relevance. For example, you could propose to perform market research to inform your own entrepreneurial idea. Note that many such ideas are aimed at solving economic or social problems (“see a need, fill a need”), so Discoveries aimed at these problems are also acceptable.
you may want to browse emerging academic research at SSRN (https://www.ssrn.com/index.cfm/en/) . You’ll find developing research on a vast array of topics. You will want to look specifically at research in the social sciences area (https://www.ssrn.com/index.cfm/en/social-sciences/) since that is where you’ll find all types of business- and accounting-related research. Although many of these academic studies may take a more complex research approach than what I am necessarily expecting from your Discovery, they are similar in that both your Discovery and most research papers address relationships between two things (e.g., audit fees and audit quality; corporate social responsibility and stock price, etc.). Thus, you can probably get some ideas just from browsing the paper titles on SSRN…you may even see some research written by your GSU accounting professors! If you see a topic that interests you on SSRN, you can usually download a copy of the paper, which will tell you where the authors got their data.