Relatedness in External Corporate Venturing: Analysis, Reconceptualization, and Effects on Venture Governance Mode Choice
Notice bibliographique
Résumé
External corporate venturing has received increasing attention on the agendas of leading high technology companies and on the research agenda of strategy scholars during the past years. Due to the global and networked economy companies very rarely can survive in, let alone outperform, their markets without interorganizational collaboration. Acquisitions, joint ventures, alliances and corporate venture capital investments are important vehicles for corporate renewal, and the success of high-tech companies in particular is affected heavily by the decisions of with whom and what kind of ventures they undertake. It is widely understood that the business scope of a prospective partner, relative to the scope of the focal firm, is one of the strategic factors affecting the choice of governance mode in their collaboration, but yet these effects have rarely been formally studied - and even when they have, assessment of the relatedness of the partner's business has been rather shallow. This thesis presents an attempt to provide a more profound understanding of these effects by utilizing a multi-faceted approach to establish the key factors of relatedness pertaining to the business scope of a partner, and reflecting these factors on a broad theoretical basis to predict expected outcomes. This thesis aims to 1) clarify the concept of relatedness through critical analysis of the contextual prerequisites of relatedness in terms of essence and structure, 2) building on the preceding reconceptualization, propose measures of business relatedness in terms of product-market scope based on technological and industry contexts of relatedness, and finally 3) analyze how relatedness of a prospective partner's business affects the venture governance mode preferences of leading U.S. firms in the information and communication technology (ICT) sector, utilizing the proposed measures of technological and industry relatedness. It is hypothesized that both technological and industry relatedness increase the preference for modes providing more control and also requiring more corporate involvement. Empirical analysis is conducted utilizing data on the acquisitions, alliances, joint ventures and corporate venture capital investments of 110 of the largest U.S. companies in the ICT sector in 1995-2001. The relatedness measures used are based on commodity flow data from U.S. industry input-output tables, industry employment data from the Occupational Employment Survey, and patent applicability data from the Canadian Patent Office. The hypotheses are tested using multinomial logit regression analysis. The results of the analysis provide partial support for the hypotheses, but also include some contradicting findings suggesting industry-specific dynamics, and strategies related to intellectual property rights. At any rate, the proposed measures of business relatedness are found to offer deeper insights into the governance mode choice decision than traditional measures of relatedness utilized in prior 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 distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,012 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».