Enterprise Technology Management Maturity Model and Application/LE MODELE MUR DU MANAGEMENT TECHNOLOQIQUE DE L'ENTREPRISE ET SON APPLICATION
Bibliographic record
Abstract
In retrospect the human history, the economic development is concerned with technology. Technology is the huge force that pushes forward the economic development. In the current knowledge-economic period, technology has become an important asset in an organization, especially in an enterprise. Consequently, technology management has emerged as an issue that managers have to deal with. Therefore, this paper aims to construct a technology management maturity model to evaluate the differences of enterprises’ technology management practices. An enterprise will be taken as an example to illustrate the application of this model and discuss how to support the practices at each maturity level in a certain enterprise by using this model. Key words: technology management, maturity model, technology management process Resume: Dans la retrospection de l’histoire humaine, on constate que le developpement economique se rapporte toujours avec la technologie. Celle-ci est une force considerable encourageant le developpement de l’economie. Dans la periode actuell de l’economie du savoir, la technologie est deja devenue un capital important pour une organisation, en particulier pour une entreprise. En consequence, le management de la technologie emerge comme un probleme que les gerants sont obliges de resoudre. Ainsi, l’article present vise a construire un modele mur du management technologique afin d’evaluer les differences de pratiques des entreprises dans ce domaine. Une entreprise sera donne comme exemple pour illustrer l’application de ce modele et discuter comment supporter les pratiques a chaque niveau de maturite dans une certaine entreprise en applicant ce modele. Mots-Cles: management technologique, modele mur, processus du management technologique
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".