| dc.contributor.advisor | Palmer, Christopher | |
| dc.contributor.author | Paine, Fiona | |
| dc.date.accessioned | 2022-08-29T16:38:24Z | |
| dc.date.available | 2022-08-29T16:38:24Z | |
| dc.date.issued | 2022-05 | |
| dc.date.submitted | 2022-06-09T14:33:31.306Z | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/145178 | |
| dc.description.abstract | This paper investigates the impact of firm data collection and analysis of collected data on the riskiness of firm cash flows. I use a scraped data set of the third party resources loaded on firms’ websites as a measure of firm data collection and analysis practices. I find that firm use of less effective web analytics is associated with an increase in the variance of sales, inventory, and both fixed and variable costs. This effect is despite a lack of change in the level of these variables. Looking at the effect of treatment on the treated, there is higher profit and sales variance during times of higher uncertainty. I use differences in web analytics technology and a change in their relative effectiveness as my identification strategy. As a case study of a large negative demand shock, I look at differences in firm reactions to COVID-19 based on their web analytics usage. | |
| dc.publisher | Massachusetts Institute of Technology | |
| dc.rights | In Copyright - Educational Use Permitted | |
| dc.rights | Copyright MIT | |
| dc.rights.uri | http://rightsstatements.org/page/InC-EDU/1.0/ | |
| dc.title | Big Data and Firm Risk | |
| dc.type | Thesis | |
| dc.description.degree | S.M. | |
| dc.contributor.department | Sloan School of Management | |
| mit.thesis.degree | Master | |
| thesis.degree.name | Master of Science in Management Research | |