Defining the modernization capabilities of the small and medium-sized businesses
Bibliographic record
Abstract
Summary form only given, as follows. It is pointed out that as the strategic issues of the 90s involve timing, quality, and flexibility, more and more attention must be given to acquiring and developing the organization's capabilities in all their dimensions. These dimensions can be defined as technological, organizational, and interfacing competencies which enable a firm to use effectively and with more efficiency the technologies it acquired. Four case studies provide some evidence that the problem of making good use of new technologies seems particularly important for small- and medium-sized businesses (SMBs). The SMBs tend to turn to new technologies, but they lack those capabilities for integrating technological knowledge and know-how. Attention should particularly be given to maintaining a project and strategy fit, and the objectives of the project must be consistent with the resources which are allocated for its realization. It is also essential to identify the technological, organizational, and interfacing capabilities (or lack thereof) that represent the firm's main strengths and weaknesses. Finally, it is important to develop efficient tools to foster the integration and the pooling of the accumulated knowledge base throughout the organization.>
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".