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On ‘Target’ for success

2013· article· en· W7053015739 sur OpenAlexaboutno aff

Notice bibliographique

RevueUND Scholarly Commons (University of North Dakota) · 2013
Typearticle
Langueen
DomaineEngineering
ThématiqueNuclear reactor physics and engineering
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésChinaInternational businessBusiness opportunityExecutive educationNew business developmentChoseBusiness analysisElectronic business
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

On ‘Target’ for success Jules Kotrba was exposed to the world as a student in the University of North Dakota's College of Business and Public Administration. And that's made all the difference in her career today as a senior business partner for Target Corp., only six years after graduating. Kotrba left UND in 2007 with a bachelor's degree in marketing and minors in international business and Chinese business and culture. She chose her minors because they gave her a business view on an international scale. That strategy is paying off big for her. Today, Kotrba is stationed at Target's headquarters in Minneapolis, where she is putting her international business experience – gained at UND – to good use. She's currently involved in the expansion of Target Stores into Canada. As a senior business partner she works with a team to manage relationships with Canadian business partners along with helping products move through the supply chain. She even became a U.S. Licensed Customs Broker to make sure Target products can be delivered across the border. "It feels like I'm working on a startup business," Kotrba said. "I'm doing something that hasn't been done before but with Target's backing." In college, Kotrba participated in a China study abroad program and loved it. It was in China where she finally made the connection with international business. She enjoyed learning how the market in China compared to the United States. Consumer behavior classes really interested her as well. She was fascinated on how consumers made decisions. Business and economics statistics and macroeconomics helped her analyze trends in sales and also taught her how the economy works through supply and demand, trade and economies of scale. Kotrba recently returned to UND to take part in the 26th annual Hultberg Lectureship, an annual event put on by the College of Business that features a panel of prominent and successful alumnae. This year's lectures also included UND Community Relations Officer Amanda Bentow and Shawn Deisz, manager of accounting for Basin Electric Power Coop. Kotrba started at Target Corporation as a business analyst for Women's and Seasonal Shoes and has now been working on the Global Trade team for three years. Prior to that, she taught English at the University of Shanghai for Science and Technology, which has had a strong relationship with UND for many years. Kotrba remains active in the Twin Cities, becoming fluent in Mandarin Chinese, as well as playing volleyball, softball and golf. She also is involved with Best Prep's Minnesota Business Venture and the Minnesota International Center. Kotrba keeps in touch with her alma mater by sitting on UND's College of Business Advisory Counsel and visiting with former colleagues at the UND Center for Innovation, where she once worked. She also meets with members of her former sorority, Alpha Chi Omega, and serves as a mentor for other students. Kotrba tells students to keep setting goals. At the age of 14, her mother signed her up for goal-making workshops and she is very thankful for that. In fact, she recently hired a life coach to keep her on track with achieving her goals. Her advice for up-and-coming business women is "it is important to be confident, connected, professional and well spoken. Listening skills are number one. Make sure your jobs line up to your dream job." Humbly, Kotrba contributes her success to her mother, also a businesswoman. "She let me know anything is possible." Kate Menzies University Relations student writer

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,006
score de la tête « metaresearch » (Gemma)0,027
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,144
Score d'incertitude au seuil0,483

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0060,027
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0030,002
Études des sciences et des technologies0,0120,011
Communication savante0,0190,015
Science ouverte0,0020,028
Intégrité de la recherche0,0070,012
Charge utile insuffisante (le modèle a refusé de juger)0,1440,056

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 Opus0,010
Tête enseignante GPT0,175
Écart entre enseignants0,165 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreAutre

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
Publié2013
Routes d'admission1
Résumé présentoui

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