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Enregistrement W4408578599 · doi:10.1108/cpoib-03-2024-0030

Foreign subsidiaries and strategic flexibility: being prepared for an increasingly uncertain global economy

2025· article· en· W4408578599 sur OpenAlexaffabout
Walid Hejazi, Jianmin Tang, Weimin Wang

Notice bibliographique

RevueCritical Perspectives on International Business · 2025
Typearticle
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueGlobal trade and economics
Établissements canadiensGovernment of OntarioGovernment of CanadaInnovation, Science and Economic Development CanadaUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésSubsidiaryFlexibility (engineering)BusinessEconomic systemInternational businessMarket economyIndustrial organizationEconomyInternational tradeMultinational corporationEconomicsManagement

Résumé

récupéré en direct d'OpenAlex

Purpose The purpose of this paper is to demonstrate the importance of embedding strategic flexibility into organizational structures, and while this comes at a cost, such strategic flexibility pays off in the face of economic downturns. Furthermore, as the world has become more uncertain, so too has the relative importance of strategic flexibility. Multinational enterprise (MNE) managers should, therefore, assess the degree of uncertainty they face in the markets in which they operate and decide upon the appropriate level of flexibility that should be embedded within their organizational structures. Design/methodology/approach This paper proposes measures of organizational flexibility at the firm level and hypothesizes that these measures will be directly linked to the amount of flexibility exercised during the 2008–2009 global financial crisis. This paper also hypothesizes that amount of flexibility embedded within MNE organizational structures will increase during periods of increased uncertainty. These hypotheses are tested using data on all firms operating within Canada over the period 2003–2014. Findings The empirical analysis confirms that the amount of strategic flexibility exercised by MNE firms operating in Canada is directly linked to the measures of organizational flexibility proposed in this paper. This paper also documents evidence of the increased uncertainty in the global economy in the period after the 2008–2009 global financial crisis and that embedded flexibility in organizational structures of foreign affiliates also increased in this period, thus better preparing MNEs for the increased uncertainty they face. Research limitations/implications This study provides several implications for MNEs managers. While the lowest cost organizational structures have little to no flexibility, such structures leave the MNE unable to respond effectively in the face of significant changes in external environments in economies where they operate. Embedding flexibility into an MNE’s organizational structure can be viewed as buying real options which pay off in periods of significant economic downturns. Given the world has moved into a period of increased uncertainty, so too have the value of these real options. MNE managers must, therefore, consider the tradeoff between the increased costs associated with embedded flexibility and the potential benefits that can arise when such flexibility is valuable. The analysis in the current paper underscores the importance of MNE managers being systematic in determining the amount of flexibility to build into their operations. Practical implications The practical implications for MNEs managers fall into several dimensions. First, the decision to embed strategic flexibility into an MNE’s organizational structure must consider the associated costs. Given the documented evidence of the world moving into a period of increased uncertainty, the value of such flexibility has increased. As such, MNE managers must (re-)consider embedding more strategic flexibility into their MNE structures. This requires an explicit consideration of the uncertainty they face in the markets where they operate and the increased costs associated with that flexibility. Second, while the analysis presented here has focused on one country over time, the practical implications apply across countries as well. Given that some markets are more uncertain than others, MNE managers should consider the optimal amount of organizational flexibility to build into MNE operations across countries. As such, the optimal amount of flexibility, therefore, may vary across affiliates within the same MNE. Social implications Economic downturns typically have a disproportionate impact on racialized, marginalized and lower income communities. To the extent MNEs can build flexibility into their operations, MNEs can mitigate reductions in their own output and that of the overall economy. In the process of building in such flexibility, the negative impacts on such communities can be mitigated. To the extent MNEs can use strategic flexibility available to them but not available to purely domestic firms, this can improve the social implications of the presence of MNEs in the economies they operate in. Originality/value This paper proposes specific and tangible firm-level measures MNE managers can consider when measuring strategic flexibility. In this sense, MNE managers can better understand both how to measure organizational flexibility and how such embedded flexibility can payoff in periods experiencing an economic downturn. While previous studies have considered strategic flexibility at a point in time, this paper considers how these measures, at the firm level, have changed over time in light of a change in uncertainty. Also, while previous studies have either focused on foreign MNEs or lumped together domestic and foreign MNEs operating in any given domestic market, this paper has separated these two groups of MNEs. This paper then benchmarks both organizational flexibility and the exercising of strategic flexibility during the 2008–2009 global financial crisis for each group of MNEs separately and relative to non-MNEs.

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 candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: Théorique ou conceptuel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,456
Score d'incertitude au seuil0,903

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 savante0,0000,001
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 Opus0,079
Tête enseignante GPT0,317
Écart entre enseignants0,237 · 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'étudeThéorique ou conceptuel
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
Publié2025
Routes d'admission2
Résumé présentoui

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