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Enregistrement W4243405055 · doi:10.26686/wgtn.17059796

How does corruption distance affect MNCs' entry ownership strategies and entry performance? A combined lens of transaction cost economics and institutional theory

2017· dissertation· en· W4243405055 sur OpenAlexfundno aff
Bo Ning

Notice bibliographique

Revuenon disponible
Typedissertation
Langueen
DomaineSocial Sciences
ThématiqueCorruption and Economic Development
Établissements canadiensnon disponible
Organismes subventionnairesOccidental PetroleumAmazon CatalystMylanPfizerXilinxCardinal HealthFreeport-McMoRan FoundationQuest DiagnosticsBarrick Gold CorporationNewmont CorporationInternational PaperKellogg'sAltria GroupGoldman Sachs GroupSteelcaseConocoPhillipsITT CorporationPepsiCoExxon Mobil CorporationCitigroupMetLife FoundationAdobe SystemsStaplesInternational Business Machines CorporationWells Fargo
Mots-clésTransaction costLanguage changeMultinational corporationInstitutional theoryContext (archaeology)Government (linguistics)BusinessIndustrial organizationLegitimacyEmerging marketsEconomic systemPublic economicsPoliticsEconomicsPolitical scienceFinance

Résumé

récupéré en direct d'OpenAlex

<p>Purpose — Government determines the rules of the game that influence the strategies and actions of a firm. Government corruption increases the transaction costs and generates institutional pressures for MNCs. Corrupt countries are often economically attractive emerging markets, which are strategically important for foreign entrants. However, little research has been carried out as to discussing the role of market entry strategies in MNCs entering corrupt host markets. In this thesis, we focus on how firms strategically respond to corrupt environments, as well as how they succeed in the corrupt foreign markets. Theory/Framework — We first scrutinized two fundamental theoretical underpinnings that are pertinent to this research, namely, transaction cost economics (TCE) and the institutional view. Specifically, not only does corruption pervasiveness affect MNCs’ entry decisions, corruption arbitrariness and institutional forces also has important implications. Through a TCE lens, we decomposed the “arbitrary corruption” and focus on country-level arbitrariness, i.e., a “lack of political constraint” and “political instability” in a host country. From an institutional view, we analysed the influence of both external and internal institutional forces, that is, the legitimacy pressure from a host government, as well as the internal pressure driven by the ethical identity of a parent firm (based on the organizational identity theory) in the context of corruption. Drawing on the blended perspectives, we filled in the research gaps by constructing a conceptual model that connects corruption distance with entry ownership strategies, and the subsequent entry performance. Methodology — We manually extracted data regarding foreign market entry behaviours of US listed MNCs from periodical databases using the Event History Analysis (EHA). We ran empirical analysis to demonstrate how corruption and related factors affect MNCs’ entry strategies, and how these strategies produce different entry performance. By using logistic models, the first study examined the impact of corruption distance on MNCs’ strategic ownership choices between joint ventures (JVs) and wholly owned subsidiaries (WOSs), and how corruption arbitrariness and institutional forces respectively moderate the corruption-strategy relationship. The second study employed Heckman two-stage models to examine how corruption distance, selected moderators and entry strategy fit enhance entry performance. Key findings — Empirical findings in Study 1 suggest that as corruption distance increases, MNCs are more likely to choose the JV mode. They tend to choose strategic alliances when entering a host country with fewer political constraints. The results also indicate that both “lack of political constraint” and “political instability” negatively moderate the positive relationship between corruption distance and MNCs’ strategic preference for a JV entry. From an institutional view, the findings indicate that regulatory pressure driven by political intervention, as well as internal constraints in the form of corporate identity, affect firms’ entry decisions. As corruption distance becomes greater, international firms with less salient ethical identities show a greater inclination for local adaptation, whereas their ethically conscious counterparts show little conformity in their strategic response to host-country corruption. Study 2 advances the understanding of how corruption distance and entry strategies affect a foreign subsidiary’s entry performance and answers the subsequent “so-what” question. Employing an EHA-based measure of entry performance, we have found that 1) As corruption distance increases, foreign subunits are less likely to be successful. 2) In relation to the WOS entry, local partnership overcomes competitive disadvantages induced by corruption distance and generates more successful host-market entries. 3) As opposed to wholly controlled investment, local partnering would be more successful where a host country is more politically unconstrained. 4) We confirmed a positive effect of corporate ethical identity on entry success. Contributions/Originalities — Both studies contribute to the marketing strategy research in international markets by linking government corruption and relevant factors with firm strategy and firm performance through dual lenses from TCEs and the institutional theory. The research does not only have theoretical value in demonstrating the implications of corruption distance, but also sheds light on strategic decisions and foreign entry outcomes for international practitioners entering host countries under various transactional costs and institutional conditions.</p>

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)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,488
Score d'incertitude au seuil0,735

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0010,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
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 Opus0,024
Tête enseignante GPT0,266
Écart entre enseignants0,242 · 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.

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

Citations0
Publié2017
Routes d'admission1
Résumé présentoui

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