554 research outputs found

    Resource-based theory and mergers & acquisitions success

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    Mergers & acquisitions (M&A) are most popular external growth strategies. While the number of M&A has been increasing during the past decades, on average, only the shareholders of target firms gain value during the acquisitions process, while acquirers do not receive abnormal positive returns. This paper analyses the impact of strategically valuable resources on the success of M&A decisions. We test complementary resource-based hypotheses regarding the value of M&A for the shareholders of both transaction partners. Our sample consists of transactions in the pharmaceutical and biotechnological industry. The results of our study show that the shareholders of both transaction partners will gain above average positive returns only when the acquirer and the target own and combine strategically valuable resources and capabilities. --

    competitive advantage by shaping institutions

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    Institutions matter greatly in the development of competitive advantage. Different institutional strategies to manipulate and shape institutions are discussed in the literature. This paper aims at extending the existing conceptual model of membership strategy. Despite being referenced frequently, the concept of membership strategy is not well developed. This is surprising because what is referred to as membership strategy has become very popular in various industries. We propose and develop a theoretical model that explains a firm’s opportunity to protect itself against dominant institutional pressures and, additionally, to create competitive advantage by implementing a consumer centric membership strategy. Practical examples are discussed to clarify theoretical interrelationships. The main illustrative case focuses on Blizzard Entertainment, an American developer and publisher of video games

    examining the predictive power of the VRIO-framework

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    Strategy tools are widely used in the practice of strategic management to yield a good solution with an acceptable problem-solving effort. This paper presents results of an experimental research project that assesses the practical effectiveness of a theory-based decision-making tool, the VRIO- Framework, in predicting the stock-market performance of different companies. The VRIO’s predictive power is compared to the predictions derived from Analyst Ratings that are a widespread and commonly used tool in the decision- making context of this study. Our results suggest that the VRIO-Framework is a particularly effective forecasting tool whereas the power of Analyst Ratings is disputable. The results also provide support for the practical usefulness of resource-based theory

    Performance forecasts in uncertain environments: Examining the predictive power of the VRIO-framework

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    Strategy tools are widely used in the practice of strategic management to yield a good solution with an acceptable problem-solving effort. This paper presents results of an experimental research project that assesses the practical effectiveness of a theory-based decision-making tool, the VRIO-Framework, in predicting the stock-market performance of different companies. The VRIO's predictive power is compared to the predictions derived from Analyst Ratings that are a widespread and commonly used tool in the decision-making context of this study. Our results suggest that the VRIO-Framework is a particularly effective forecasting tool whereas the power of Analyst Ratings is disputable. The results also provide support for the practical usefulness of resource-based theory

    comparing the VRIO-framework to the recognition heuristic

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    Decision-making heuristics are widely used in different economic and non- economic contexts to yield a good solution with an acceptable problem-solving effort. This paper presents the main features of an experimental research project to analyze the effectiveness and efficiency of selected heuristic techniques, which can be used to facilitate and improve the strategic decision-making process. The resource-based view and modern, psychologically inspired decision-making theory provides the theoretical basis for the study

    Resource-based theory and mergers & acquisitions success

    Get PDF
    Mergers & acquisitions (M&A;) are most popular external growth strategies. While the number of M&A; has been increasing during the past decades, on average, only the shareholders of target firms gain value during the acquisitions process, while acquirers do not receive abnormal positive returns. This paper analyses the impact of strategically valuable resources on the success of M&A; decisions. We test complementary resource-based hypotheses regarding the value of M&A; for the shareholders of both transaction partners. Our sample consists of transactions in the pharmaceutical and biotechnological industry. The results of our study show that the shareholders of both transaction partners will gain above average positive returns only when the acquirer and the target own and combine strategically valuable resources and capabilities

    Gaining insight into membership strategy: Competitive advantage by shaping institutions

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    Institutions matter greatly in the development of competitive advantage. Different institutional strategies to manipulate and shape institutions are discussed in the literature. This paper aims at extending the existing conceptual model of membership strategy. Despite being referenced frequently, the concept of membership strategy is not well developed. This is surprising because what is referred to as membership strategy has become very popular in various industries. We propose and develop a theoretical model that explains a firm's opportunity to protect itself against dominant institutional pressures and, additionally, to create competitive advantage by implementing a consumer centric membership strategy. Practical examples are discussed to clarify theoretical interrelationships. The main illustrative case focuses on Blizzard Entertainment, an American developer and publisher of video games

    An engineering approach to decode immune responses

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    Throughout this thesis, I have endeavored to apply an engineer’s mindset in my pursuit to better understand the marvelously convoluted immune system. In doing so, my colleagues and I have generated a number of new ‘hardware’(i.e., genetically engineered) tools and ‘software’ modules (i.e., custom analyses and models) that enable the investigation of several otherwise difficult-to- study concepts. Although we have used these modules here to study immune responses, I hope they may be utilized as tools and approaches to crack outstanding questions in other fields of research.LUMC / Geneeskund
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