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Enregistrement W1568303946

Gene Life S.A.-Paris

2010· article· en· W1568303946 sur OpenAlexaboutno aff
Tom Morris, Cynthia M. Pavett

Notice bibliographique

RevueJournal of the International Academy of Case Studies · 2010
Typearticle
Langueen
DomaineMedicine
ThématiqueBiotechnology and Related Fields
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésTest (biology)ExpatriateCorporationManagementSociologyMarketingPublic relationsBusinessPolitical scienceLawFinanceEconomics
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

INTRODUCTION in Paris ... chestnuts in blossom ... holiday tables under the sun ... or so the song goes. But on that cold, rainy April evening, it was just plain miserable. That would also accurately describe the mood of John Williams, an American expatriate who had been living and working in Paris for just over three months. He still struggled with the language and the unfathomable bureaucracy. Worse yet, he was totally frustrated by his lack of ability to make anything positive happen at work. As he walked along the Seine on his way home from a disastrous few days at the office, he wondered how he was ever going to get the cooperation and commitment he needed to successfully market Gene Life's latest product. Gene Life Corporation It was only a short time ago that a group of genetic scientists from the Boston area formed a privately held company to focus on medical applications of genetic sequencing. All of the company founders were research physicians who had been associated with large universities in and around Boston. Since most of the founders were preeminent in their fields, obtaining venture capital was not difficult. The group was particularly interested in developing a genetic test for type II diabetes. This interest was based not only on their expertise but also the results of market surveys sponsored by the American Medical Association. It was clear that physicians were extremely interested in purchasing a potential test that could help in the diagnosis of type II diabetes. But, there was a limit on how much they were willing to pay. Unfortunately, Gene Life's first iteration of a user-friendly test kit could not be sold for any less than $3,500. Given the feedback from early marking attempts, physicians and hospitals considered the cost prohibitive. A year later, the research team discovered an innovative method to produce a test kit that could be sold to for around $500. After extensive testing, which produced very accurate diagnostic results, Gene Life started marketing the kit to physicians and hospitals in the United States. It was an immediate success, and the former small research company was immediately thrust into the competitive world of pharmaceutical manufacturing, marketing and sales. They brought in state of the art manufacturing specialists, built an extremely efficient manufacturing facility to keep costs low. This supported their cost leader marketing strategy and discouraged competition. The venture capital partner conducted an extensive marketing survey and concluded that it was in the best interest of all parties to take the company public. The IPO was managed by the Bank of Boston and resulted in $52 million in new equity ownership capital. Gene Life could now afford to bring their product to the international market. John Williams' Background Because of his unusual background, John Williams was brought in to Gene Life shortly after its inception. Right after high school, John decided not to go to college but rather worked for a construction company that immediately sent him to rural Quebec to build oil pipe lines. He eventually attained the position of crew chief where he managed up to thirty French-speaking Canadians as well as Polish-immigrant workers. However, he wanted more out of life and returned to the U.S. to attend Boston University. After graduating with a degree in biochemistry, John took a job with a large pharmaceuticals company. Three years of tedious, slow moving research led him to the conclusion that he was really more interested in the business aspects of the industry than the science. Hence, he left the job and earned his MBA at Harvard University. Upon completion of his degree, he ran into one of his undergraduate professors at a coffee shop in Fanuli Hall. Dr. Morton, who was one of the founding members of Gene Life, talked extensively about the company, its product and its difficulty in finding a competent manager who both understood genetic science and had the ability to effectively manage people. …

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesIntégrité de la recherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,222
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,003
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,026
Tête enseignante GPT0,337
Écart entre enseignants0,311 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2010
Routes d'admission1
Résumé présentoui

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