Configurations for Achieving Organizational Ambidexterity with Digitization
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
Organizational ambidexterity refers to the capability of businesses to balance the pursuit of radical innovation simultaneously with incremental innovation. It echoes the popular notion that to thrive well in a competitive economy, businesses need to balance their exploration of new markets and products with exploitation or balance operational efficiency with flexibility. Digital technologies have become central to enabling organizational ambidexterity. The analysis reveals how the three dimensions of digitization efforts—IT implementation spending, IT training, and actual IT usage—should be combined with specific internal and external factors to develop greater ambidexterity. Two of these complementary factors are either a centralized organizational structure or a strong supplier and partner network—the first a likely channel for cross-organizational knowledge transfer and the second for interfirm knowledge transfers. However, determining which combinations are useful also depends on the size of the business and competitiveness of markets. Large businesses, or those in more competitive sectors, derive a slightly greater advantage from digitization than small firms or those in less competitive sectors. These findings are useful for policy makers tasked with subsidy allocation to industry sectors and managers when allocating investment spending for digitization.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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