IT Capability and a Firm's Ability to Recover from Losses: Evidence from the Economic Downturn of the Early 2000s
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
ABSTRACT Prior literature shows that during an economic downturn firms have difficulty sustaining superior performance, and a larger percentage of firms report losses. Motivated by this literature, we explore the role of sustainability of organizational IT capability (ITC) on a firm's performance during an economic downturn. Specifically, we examine how ITC sustainability contributes to a firm's ability to recover from losses. ITC sustainability reflects a firm's ability to resist competitors' attempts to imitate or improve on its ITC. We use ITC sustainability to classify firms as sustainable (Systematic ITC), as non-sustainable (Occasional ITC), and as having no ITC (Non-ITC). Using a sample of large U.S. firms during the economic downturn of the early 2000s, we show that Systematic ITC firms achieve higher levels of firm-specific abnormal earnings and are capable of faster recovery when compared to all competitors (Occasional ITC and Non-ITC firms) and competitors with only Occasional ITC.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.004 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it