MétaCan
Menu
← Retour à la cohorte
Enregistrement W4252702265 · doi:10.1108/s1745-886220140000009026

List of Contributors

2014· other· en· W4252702265 sur OpenAlexaboutno aff

Notice bibliographique

Revuenon disponible
Typeother
Langueen
DomaineBusiness, Management and Accounting
ThématiqueInternational Business and FDI
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésLibrary sciencePublishingPolitical scienceManagementLaw

Résumé

récupéré en direct d'OpenAlex

Citation (2014), "List of Contributors", Multinational Enterprises, Markets and Institutional Diversity (Progress in International Business Research, Vol. 9), Emerald Group Publishing Limited, Bingley, pp. ix-xii. https://doi.org/10.1108/S1745-886220140000009026 Publisher: Emerald Group Publishing Limited Copyright © 2014 Emerald Group Publishing Limited Victor Amaral Organizações Globo, Rio de Janeiro, Brazil Björn Ambos Institute of Management (IFB), University of St. Gallen, St. Gallen, Switzerland Christos Antoniou Centre for International Business, University of Leeds, Leeds, UK Nicola Berg Department of Strategic Management, University of Hamburg, Hamburg, Germany Jorge Carneiro Pontifical Catholic University of Rio de Janeiro, IAG Business School, Gávea, Rio de Janeiro, Brazil Enrique Claver-Cortés Department of Management, University of Alicante, Alicante, Spain Filip De Beule KU Leuven University, Antwerpen, Belgium Douglas Dow Melbourne Business School, Faculty of Business & Economics, The University of Melbourne, Carlton, Victoria, Australia William G. Egelhoff Graduate School of Business, Fordham University, New York, NY, USA Robert L. Engle School of Business and Engineering, Quinnipiac University SB-DNF, Hamden, CT, USA Gilberto Figueira da Silva Pontifical Catholic University of Rio de Janeiro, IAG Business School, Gávea, Rio de Janeiro, Brazil Simona Gentile-Lüdecke Bremen University, Faculty of International Management and Governance, Bremen, Germany Marjaana Gunkel Leuphana University of Lueneburg, Lueneburg, Germany Lars Håkanson Copenhagen Business School, Frederiksberg, Denmark Katrin Held Department of Strategic Management, University of Hamburg, Hamburg, Germany Jenny Hillemann Department of Management and Strategy, Solvay Business School, University of Brussels (VUB), Brussels, Belgium Andreja Jaklič University of Ljubljana, Faculty of Social Sciences, Ljubljana, Slovenia Aljaž Kunčič Economic and Social Commission for Western Asia (UN ESCWA), Beirut, Lebanon Michał K. Lemański Nottingham University Business School China, Ningbo, P.R. China Sarianna Lundan Faculty of Business Studies and Economics, University of Bremen, Bremen, Germany Robbert Maseland University of Groningen, Groningen, The Netherlands Gilmar Masiero School of Economics, Administration and Accountancy (FEA-USP), University of São Paulo, São Paulo, Brazil Sylvia Moraes Pontifical Catholic University of Rio de Janeiro, IAG Business School, Gávea, Rio de Janeiro, Brazil Mario Henrique Ogasavara Escola Superior de Propaganda e Marketing (ESPM), São Paulo, Brazil Henrique Pacheco Pontifical Catholic University of Rio de Janeiro, IAG Business School, Gávea, Rio de Janeiro, Brazil Bent Petersen Copenhagen Business School, Frederiksburg, Denmark and University of Gothenburg, Göteborg, Sweden Rebecca Piekkari Department of Management Studies, Aalto University, School of Business, Helsinki, Finland Jonas Puck Institute for International Business, WU Vienna, Vienna, Austria Diego Quer-Ramón Department of Management, University of Alicante, Alicante, Spain Laura Rienda-García Department of Management, University of Alicante, Alicante, Spain Christian Rohrlack Danfoss Power Solutions GmbH & Co. OHG, Neumünster, Germany Huub J. M. Ruël Windesheim University of Applied Sciences, School of Business, Media & Law, Zwolle, The Netherlands Christopher Schlaegel Faculty of Economics and Management, Otto von Guericke University Magdeburg, Magdeburg, Germany Rene E. Seifert, Jr. Universidade Tecnológica Federal do Paraná (UTFPR), Curitiba, Brazil and Instituto Brasileiro de Estudos e Pesquisas Sociais (IBEPES), Brazil Natalya Smith Heelstone Consulting Ltd., Manchester, UK Ekaterina Thomas Staffordshire University Business School, Stoke-on-Trent, UK Susanne Tietze Keele University, Keele Management School, Keele, United Kingdom Francisco Urdinez Institute of International Relations (IRI-USP), University of São Paulo, São Paulo, Brazil Danny Van Den Bulcke University of Antwerp, Antwerpen, Belgium André van Hoorn University of Groningen, Groningen, The Netherlands Rob Van Tulder RSM Erasmus University Rotterdam, Rotterdam, The Netherlands Alain Verbeke Haskayne School of Business, University of Calgary, Calgary, Canada; Solvay Business School, University of Brussels (VUB), Brussels, Belgium; Henley Business School, University of Reading, Henley-on-Thames, United Kingdom Robin Visser Deakin University, Faculty of Business and Law, Deakin Graduate School of Business, Burwood, Victoria, Australia Alexander H. Wisgickl WU Vienna, University of Economics and Business, Vienna, Austria Joachim Wolf Institute of Business Administration, University of Kiel, Kiel, Germany Haiyan Zhang Neoma Business School, Mont-Saint-Aignan, France Book Chapters Multinational Enterprises, Markets and Institutional Diversity Progress in International Business Research Multinational Enterprises, Markets and Institutional Diversity Copyright Page List of Contributors Dedication Chapter 1 New Analysis of Multinational Enterprises and Their Linkages with Markets and Institutional Diversity Chapter 2 Internalization Theory and the Governance of the Global Factory Chapter 3 Considering the Local Partner. A Two-Sided Perspective on Transaction Costs During Market Entry Chapter 4 Selling to Chinese Firms: A Seller’s Perspective. Empirical Evidence from the German Automotive Industry Chapter 5 What Best Explains the Success of Cross-border Technology Transfers in MNCs: Traditional Coordination Instruments or Modern Management Concepts? Chapter 6 Perceptions Versus National-Level Differences: A Mediating Model of Psychic Distance Chapter 7 FDI and Institutions: Formal and Informal Institutions Chapter 8 Is Distance the Same Across Cultures? A Measurement-Equivalence Perspective on the Cultural Distance Paradox Chapter 9 Culture and a Cascading Model of Emotional Intelligence: An Exploratory Analysis Chapter 10 Micropolitical Behavior in the Multinational Enterprise: A Language Perspective Chapter 11 Impact of Outward Foreign Direct Investment Promotion Policy: Evidence from Newly Industrialized, Emerging, and Developing Asian Economies Chapter 12 An Exploration of Commercial Diplomacy as a Set of Facilities to Support International Business to and from Emergent Markets Chapter 13 The Vagueness of the “Country-Specific Advantage” Construct: Which Host-CSAs Matter for Chinese OFDI? Chapter 14 Multi-National Firms, Corruption and Innovation in Russia Chapter 15 Strategic Asset Seeking by EMNEs: A Matter of Liabilities of Foreignness – or Outsidership? Chapter 16 Reverse Transfer of HRM Practices from Emerging Market Subsidiaries: Organizational and Country-Level Influences Chapter 17 Facing Discrimination by Host Country Nationals – Emerging Market Multinational Enterprises in Developed Markets Chapter 18 The Performance Logic of International Diversification Chapter 19 Chinese MNCs: An Overview of the Current State of Research

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)0,003
score de la tête « metaresearch » (Gemma)0,026
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
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 enseignants0,266
Score d'incertitude au seuil0,380

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,026
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0080,008
Études des sciences et des technologies0,0040,001
Communication savante0,0120,007
Science ouverte0,0030,004
Intégrité de la recherche0,0030,003
Charge utile insuffisante (le modèle a refusé de juger)0,7340,743

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 Opus0,008
Tête enseignante GPT0,205
Écart entre enseignants0,198 · 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; l’étiquette directe de Gemma et le classifieur distillé Codex s’accordent sur ce qui est montré ici.

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
Publié2014
Routes d'admission1
Résumé présentoui

Explorer davantage

Même sujetInternational Business and FDI→Travaux en français237 207→