Information technology and the changing workplace in Canada: firm-level evidence
Bibliographic record
Abstract
Recent advances in information and communication technology (ICT) have had dramatic effects on both individual and workplace performance. Use of computers and the Internet as general-purpose technologies has spread rapidly across all sectors of the economy, transforming business organization, increasing competition, and fostering innovation. Understanding the influence of ICT on the dynamics of the workplace requires information on both demand and supply sides of the labor market, but it is only recently that the study of both sides of the market has become feasible using linked employer–employee data. In this article, we investigate the effects of new technology on firm productivity using the rich Canadian Workplace and Employee Survey for the period 1999–2003. We apply a mixed regression model which includes both firm and employee characteristics as well as their interactions with computer use. Our model allows us to control for unobserved heterogeneity at higher levels along many dimensions. Our findings indicate that computer use by employees has a positive and significant effect on the productivity of firms that the effect has not lost its momentum, and that spillover effects are not significant. Moreover, human capital enhances the effect of computer use on productivity, but organizational changes do not interact with computer use in our sample period.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 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".