Data Analytics Strategy and Internal Information Quality

dc.contributor.advisorGe, Weili
dc.contributor.authorLem, Katie Wei
dc.date.accessioned2023-04-17T18:02:35Z
dc.date.issued2023-04-17
dc.date.submitted2023
dc.descriptionThesis (Ph.D.)--University of Washington, 2023
dc.description.abstractI 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.lift2024-04-16T18:02:35Z
dc.embargo.termsRestrict to UW for 1 year -- then make Open Access
dc.format.mimetypeapplication/pdf
dc.identifier.otherLem_washington_0250E_25216.pdf
dc.identifier.urihttp://hdl.handle.net/1773/49857
dc.language.isoen_US
dc.rightsnone
dc.subject
dc.subjectBusiness administration
dc.subject.otherBusiness administration
dc.titleData Analytics Strategy and Internal Information Quality
dc.typeThesis

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