Waves of IT Innovation in Industries: Extending Diffusion Through the Integration of Punctuated Equilibrium and Fit
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
At the industry level, Information Technology (IT) driven transformation can be characterized by the rapid diffusion of IT innovation across firms. This paper suggests that IT innovation has occurred over the past fifty years in four major waves, but that not all industries have been equally affected by each wave’s passage. It is proposed that the depth and rate of diffusion of an IT innovation wave within an industry is contingent on the congruence between the characteristics of the wave and those of the industry. The theoretical basis for this proposition is found in the integration of Punctuated Equilibrium Theory and Venkatraman’s conceptualization of perspectives on fit, providing a macro view of diffusion of IT innovation at the industry level of analysis.
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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 | 0.009 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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