Dupont Analysis of an IT-Enabled Competitive Advantage
Bibliographic record
Abstract
Recent research has shown that if used effectively, information technology (IT) can provide companies with superior performance relative to their direct competitors [MIS Q 24 (2000) 169; Inf Manage 38 (2000) 103]. The most common benefits from the successful use of IT are in increased profitability or efficiency. Return on assets (ROA) decomposition (DuPont analysis) allows financial statement users to examine where this IT-enabled competitive advantage shows up in accounting performance measures, whether in profitability, efficiency or both. Using a matched pair design, comparing companies with an IT-enabled competitive advantage to their direct competitors, we find that successful use of IT pays off in a combination of increased profitability and efficiency. This is different from a competitive advantage that is not IT-enabled, where the only performance advantage is in profitability. All data used in tests are available from public sources.
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How this classification was reachedexpand
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 | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".