The co-evolution of IT competence, organisational agility and entrepreneurial action: a case study of entrepreneurial e-tailers
Bibliographic record
Abstract
Due to the turbulent business environment, small and medium-sized e-commerce companies tend to adopt a strategic logic that requires the support and co-evolution of organisational agility capability and information technology (IT) competence. However, the characteristics of organisational agility and IT competence and their co-evolution mechanisms are largely unknown. Based on the Sambamurthy et al. (2003), theoretical framework about the strategic logic for firms in a turbulent business environment, we undertook a case study of ten entrepreneurial e-tailers (retailers selling primarily on the internet) on a third party Chinese e-commerce platform. From these firms we identified the characteristics and the evolutionary path of entrepreneurial actions, organisation agility and IT competence for small and medium-sized entrepreneurial actions, organisation agility and IT competence from the perspective of real options and adaptive learning. This research advances our current understanding of SME e-commerce firm strategic logic and required firm capabilities.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".