Data Analytics Strategy and Internal Information Quality
| dc.contributor.advisor | Ge, Weili | |
| dc.contributor.author | Lem, Katie Wei | |
| dc.date.accessioned | 2023-04-17T18:02:35Z | |
| dc.date.issued | 2023-04-17 | |
| dc.date.submitted | 2023 | |
| dc.description | Thesis (Ph.D.)--University of Washington, 2023 | |
| dc.description.abstract | I examine whether a strategic focus on data analytics improves firms’ internal information quality, the decision-usefulness of information. Using textual analysis of firm disclosures to identify a data analytics strategy, I first document that firm, leadership, and operating environment characteristics are all important determinants of the decision to adopt a data analytics strategy. To infer the impact of a data analytics strategy on internal information quality, I examine its implications for various operating and financial reporting outcomes. I find that a data analytics strategy is primarily associated with better operating efficiency. More specifically, when firms employ a data analytics strategy, they invest and utilize existing resources more efficiently. I also find evidence that a data analytics strategy is associated with improvements in management forecasts. Overall, the results are consistent with a data analytics strategy improving firms’ internal information quality. | |
| dc.embargo.lift | 2024-04-16T18:02:35Z | |
| dc.embargo.terms | Restrict to UW for 1 year -- then make Open Access | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.other | Lem_washington_0250E_25216.pdf | |
| dc.identifier.uri | http://hdl.handle.net/1773/49857 | |
| dc.language.iso | en_US | |
| dc.rights | none | |
| dc.subject | ||
| dc.subject | Business administration | |
| dc.subject.other | Business administration | |
| dc.title | Data Analytics Strategy and Internal Information Quality | |
| dc.type | Thesis |
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