Notice bibliographique
Résumé
The theme of the Third Klein Symposium on the Management of Technology originated in research that my Penn State colleagues and I undertook for the National Institute of Standards and Technology (NIST).The Manufacturing Extension Partnership within NIST has responsibility for enhancing the productivity and effectiveness of small and medium-sized enterprises (SMEs) in the United States.These firms are defined by the US Department of Commerce as having 500 or fewer employees.A major premise underlying our research was that SMEs must become more innovative in order to compete effectively in the emerging global economy.Recent entrepreneurial start-ups already have this capability and can serve as role models for others, but many SMEs (97 per cent of all exporting firms in the US) are not innovative and face increasing competitive pressure from low-cost foreign producers.Operational efficiency is necessary but not sufficient to compete in such a world.Differentiated and less price-sensitive products are becoming increasingly important to competitive success.When our research began in 2003, I was a relative newcomer to the study of SMEs and, more specifically, to aspects of internationalization, which include importing, exporting, foreign direct investment and strategic alliances to sell products abroad.An extensive international network of scholars has been writing in this field for years and has produced a significant body of literature.My colleagues and I faced a steep, but fascinating, learning curve.When exploring themes for the Third Klein Symposium, the idea of linking its theme to our continuing NIST work seemed quite natural and promised great synergy.It also implied hard work and the opportunity to work with a new community of scholars, and ideally to form some new lasting friendships.Thirty-two academics were invited to write papers for the symposium that was held at Penn State on 12-14 October 2005.The invitations included a list of issues and questions to serve as catalysts for what these academics might like to address.As appropriate for a symposium that concerned the global economy, the academics included representatives from the United States, United Kingdom, Italy, Canada and Singapore.The first two days of the symposium were devoted to brief overviews of the papers, and to comments and critiques of them.Authors were expected to revise their papers accordingly.On the third day of the symposium, senior executives from the public and private sector were invited to present their experiences with internationalization or their views on the role of SMEs in the global economy.Their presentations were made to a large and more general audience.Four of the presenters were winners of US federal or state awards for exceptional export performance.Two Canadian firms were recognized as among the 'Top 100 Employers' and/or '50 Best Managed Companies' in Canada.The Dean's Office of the Smeal College of Business contributed financial support for this day of executive presentations.My deep and enduring gratitude and affection go to Robert and Judith Klein,
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,010 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,005 | 0,004 |
| Science ouverte | 0,002 | 0,004 |
| Intégrité de la recherche | 0,002 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,494 | 0,336 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».