Three essays on the origins and consequences of product exploration
Notice bibliographique
Résumé
The first essay of this dissertation is a review of the literature from leading management journals on product exploration (i.e., a firm's creation of new products different from those in its existing product portfolio).This review shows a strong base of studies on the antecedents and consequences of product exploration, although the latter has received comparatively less attention.It further reveals five opportunities for future research, two of which motivate the second and third essays of this dissertation.The first of the two opportunities that I focus on is determining how the elements that lead to product exploration operate through the new product development process.The second is to identify whether and when exploratory products are riskier than exploitative products.In the second essay, we 2 extend research on technological exploration as an antecedent to product exploration.Prior research shows that firms can improve their technological exploration through their organizational structure, particularly by implementing structural separation.We consider the downstream effects of structural separation as firms turn technological exploration into product exploration, which requires the difficult translation of technological inventions into commercial products.As a baseline, we predict that technological exploration increases a firm's product exploration rate.However, we also predict that the delicate transition from technological exploration to product exploration is impeded by barriers stemming from structural separation.We identify three types of structural separation -divisional compartmentalization, geographic dispersion, and internal network fragmentation -as barriers that weaken the baseline relationship.An empirical analysis in the American medical devices industry provides robust support for our 1 French version to follow. 2 Essays 2 and 3 are co-authored with Martin Goossen.hypotheses.The findings of this study contribute to the literatures on ambidexterity, organizational exploration, and organizational R&D structures.In the third essay, we advance research on the performance implications of product exploration.New product introductions can be a source of firm renewal and growth or precipitate a firm's downfall.We use the concepts of exploration-exploitation and second-order learning from the organizational learning literature to explain this variability.We predict that exploratory products have more variable performance outcomes than exploitative products.This is because they have the potential for superior effectiveness or to create new lines of business, but they also require costly organizational changes and increase the likelihood of mistakes.Further, we hypothesize that this effect is augmented if the product also addresses a new-to-the-firm market segment and is attenuated when the firm has greater experience in marketing exploratory products.Using a large-scale study on stock market reactions to the FDA approval of new medical devices between 2000 and 2015, we find partial support for our hypotheses.The findings of this study contribute to the literatures on organizational learning, new product introductions, and market reactions to strategic actions.John-Paul Ferguson, Corey Phelps, and Patrick Cohendet.John-Paul, you gave me inspiration at the toughest moments in the program.Corey, your attention to detail has sharpened all aspects of my work.Patrick, you have always been able to introduce a new perspective and expand the ways I think about
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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 | 0,006 | 0,015 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,001 |
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.
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 ».