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Antecedents of individual research performance of surgeons - an empirical analysis of surgeons in US and German Academic Medical Centers

TLDR
In this article, the authors empirically investigated antecedents of the research of physicians using the example of surgeons and found that different resource types, forms of diversity and organizational strategies such as exploration, exploitation and ambidexterity have varying influence on individual research performance of surgeons.
Abstract
Based on findings that academic medical centers (AMCs) that strategically focus on research tend to perform well in the delivery of patient care as well as with respect to the overall performance, this dissertation empirically investigates antecedents of the research of physicians using the example of surgeons Hypothesizing that antecedents can be found on individual, team and AMC levels of analysis the empirical analysis is based on multi-level modeling, conceptualizing influence factors with reference to organizational theories such as the resource based view, the diversity approach or the ambidexterity hypothesis Data is collected accordingly on each analytical level on over 11000 surgeons in the US and Germany The analysis reveals that different resource types, forms of diversity and organizational strategies such as exploration, exploitation and ambidexterity have varying influence on individual research performance of surgeons Managers of AMCs who aim to create a research-friendly environment should therefore pursue a comprehensive approach in consideration of individual-, team-, and organizational-level influence factors when implementing processes and strategies that aim to stimulate the research performance of their physicians Basierend auf der Erkenntnis, dass solche Universitatsklinika mit strategischer Fokussierung auf Forschung eine hohe Performanz in der Krankenversorgung als Gesamtperformanz aufweisen untersucht diese Arbeit empirisch Erfolgsfaktoren der Forschungsleistung von Arzten in Universitatsklinika am Beispiel von Chirurgen Annehmend, dass die Forschungsleistung von Faktoren auf individueller, Team- und Klinikebene beeinflusst wird ist das zentrale Analyseinstrument der empirischen Analyse die Mehrebenen-Analyse Die Hypothesen werden getrieben von verschiedenen Organisationstheorien wie dem Resource-based View, dem Diversity-Ansatz und der Ambidexterity-Hypothese Hierzu wurden Daten von uber 11000 Chirurgen auf allen drei analytischen Ebenen in deutschen und US-amerikanischen Universitatsklinika erhoben Die Analyse zeigt, dass verschiedene Ressourcenarten, Diversity-Typen und organisationale Strategien wie Exploration, Exploitation und Ambidexterity das Forschungsverhalten unterschiedlich beeinflussen Klinikmanager, die ein forschungsfreundliches Arbeitsumfeld implementieren wollen, sollten deshalb Einflussfaktoren auf individueller, Team- und Klinikebene berucksichtigen, wenn Sie Masnahmen und Strategien entwerfen, die die Forschungsleistung ihrer Arzte stimulieren sollen

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Structural Differentiation and Ambidexterity: The Mediating Role of Integration Mechanisms

TL;DR: The findings suggest that the previously asserted direct effect of structural differentiation on ambidexterity operates through informal senior team and formal organizational integration mechanisms, and contributes to a greater clarity and better understanding of how organizations may effectively pursue exploration and exploitation simultaneously to achieve ambideXterity.
References
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Book ChapterDOI

Firm Resources and Sustained Competitive Advantage

TL;DR: In this article, the authors examined the link between firm resources and sustained competitive advantage and analyzed the potential of several firm resources for generating sustained competitive advantages, including value, rareness, imitability, and substitutability.
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Dynamic capabilities, what are they?

TL;DR: Seeks to present a better understanding of dynamic capabilities and the resource-based view of the firm to help managers build using these dynamic capabilities.
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Multiple Regression: Testing and Interpreting Interactions

TL;DR: In this article, multiple regression is used to test and interpret multiple regression interactions in the context of multiple-agent networks. But it is not suitable for single-agent systems, as discussed in this paper.