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Enregistrement W210698053

Outsourcing for Financial Success? an Exploratory Study

2009· article· en· W210698053 sur OpenAlexaboutno aff
Damodar Y. Golhar, Satish P. Deshpande

Notice bibliographique

RevueAdvances in competitiveness research · 2009
Typearticle
Langueen
DomaineBusiness, Management and Accounting
ThématiqueOutsourcing and Supply Chain Management
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésOutsourcingOffshoringBusinessPayrollKnowledge process outsourcingCompetitive advantagePurchasingInformation technologyIndustrial organizationMarketingAccounting
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

CURRENT STATE OF OUTSOURCING Global competition dictates that manufacturing firms deliver quality goods to customers on demand and at lower costs. One of the ways to be competitive is through innovation in products, processes, and services. To increase productivity and lower costs, companies are using leading manufacturing approaches (such as continuous improvement program, just-in-time inventory system) and progressive human resource (HR) practices. Another way to remain competitive is through the business processes. Outsourcing is defined as purchasing ongoing services from an outside company that a company currently provides, or most organizations normally provide, for themselves (Linder, 2004). These activities may range from manufactured parts to services, such as payroll, human resources, accounting, etc. Outsourcing is not limited to domestic suppliers, but it also includes foreign suppliers (off-shoring). In this paper the term outsourcing is used to encompass both domestic as well as off-shoring activities and is consistent with the framework of activities provided by the GAO study (2004). Improvements in global telecommunications technology, infrastructure growth in developing countries, and decreasing data transmission costs have accelerated the pace of activities (The GAO Study, 2004). As a result, U.S. companies outsource not only manufacturing jobs but also high-paying professional jobs in the service sector in the areas of high-technology, office support, computers, business management, and architecture (Mangan, 2004). Some 3.3 million U.S. jobs, accounting for $136 billion in wages, will be outsourced overseas or off-shored by the year 2015 (Mangan, 2004). Outsourcing allows firms to offer products or services to their customers faster, cheaper, and better. Improved productivity, achieved through outsourcing, is assumed to contribute to the financial strength of a firm and make it globally competitive. Outsourcing has been used by many organizations to meet short-term objectives like downsizing and reducing costs. For example, Delta Airlines' activities resulted in $25 million savings in 2003 (Weidenbaum, 2005). Others have taken a long-term approach by non-essential work to free up resources and time to focus on areas of core competencies and competitive advantage (Chamberland,2003). In a recent survey of procurement executives (jointly done by CAPS Research and A.T. Kearney Inc.) more than 80 percent of the respondents indicated that cost reduction and need to focus on core business were the main drivers to (Monczka, Markham, Carter, Blascovich, and Slaight, 2005). The underlying assumption being that will make a firm financially strong. One industry that has been actively involved in activities is the automotive parts manufacturing. The industry uses different production technologies and manufactures a variety of products ranging from plastic molded parts for automobiles to components for airplanes; thus supporting different industries. The automotive parts manufacturing industry is heavily integrated between the U.S. and Canada. Today, every vehicle assembled in North America contains nearly $1,250 worth of parts manufactured in Canada. There is a high concentration of these firms in the state of Michigan and the Province of Ontario, Canada. The industry customers (the automakers) are keenly aware of their suppliers' potential in reducing costs. Foreign automotive parts manufacturers, particularly the ones in China, India, and Mexico are gaining competitive advantage over their North American counterparts by producing better quality products at lower prices. Hence, the automakers are demanding from North American suppliers prices that are in line with foreign suppliers' quotes. This has put a tremendous financial stress on the industry. Compared to others, the automotive industry provides well paying jobs to the U. …

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)0,020
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,015
Score d'incertitude au seuil0,050

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0060,020
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0040,006
Études des sciences et des technologies0,0050,004
Communication savante0,0060,006
Science ouverte0,0010,004
Intégrité de la recherche0,0010,003
Charge utile insuffisante (le modèle a refusé de juger)0,0150,001

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 Opus0,058
Tête enseignante GPT0,376
Écart entre enseignants0,318 · 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'étudeObservationnel
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

Citations2
Publié2009
Routes d'admission1
Résumé présentoui

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