Internal Information Quality and Corporate Employment Decisions

Ahrum Choi, Woo Jong Lee*, Yong Gyu Lee, Gaoguang Zhou

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

2 Citations (Scopus)

Abstract

Prior studies argue that high-quality internal information improves forecasting and reduces internal information asymmetry, and hence facilitates firms’ decision-making. Consistent with this argument, we find that internal information quality (IIQ) is positively associated with employment efficiency. Furthermore, we find that better IIQ leads to an improvement in employment efficiency primarily by improving demand forecasts. The baseline finding is robust to using a setting that exploits time-series shocks to IIQ (i.e., the adoption of SFAS 158) and other sensitivity analyses. Our findings add to prior studies on the role of IIQ in decision-making.

Original languageEnglish
Pages (from-to)262-283
Number of pages22
JournalAustralian Accounting Review
Volume33
Issue number3
Early online dateJul 2023
DOIs
Publication statusPublished - Sept 2023

Scopus Subject Areas

  • Accounting

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