EXPLORING THE DETERMINANTS OF WEB-BASED E-BUSINESS EVOLUTION IN CANADA
Bibliographic record
Abstract
Canadian businesses are increasingly adopting Internet based e-business technologies such as websites, web-based procurement, and e-commerce. While there have been many studies in various countries of the determinants of e-business adoption, the newness of ebusiness has precluded much understanding of the factors that influence the evolution of e-business within companies. There is therefore considerable interest in stages of ebusiness and the factors that cause organizations to move between e-business stages.Using panel data for approximately 4,700 business enterprises for the period 2001-2003 collected by Statistics Canada, we perform logistic analyses to better understand which technological, environmental, and organizational factors proposed in the theoretical literature appear to be associated with changes in e-business stages.Our findings provide some support for the TOE model as a framework for understanding e-business evolution, although coefficient signs were in a number of cases opposite of what was predicted.We also find differences in how the TOE components influence small and medium versus large enterprises, with the latter more influenced by environmental factors relative to small and medium enterprises.
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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 | 0.010 | 0.004 |
| 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 | 0.001 |
| Open science | 0.001 | 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".