M
Mario Schijven
Researcher at University of Illinois at Urbana–Champaign
Publications - 25
Citations - 1845
Mario Schijven is an academic researcher from University of Illinois at Urbana–Champaign. The author has contributed to research in topics: Organizational learning & Context (language use). The author has an hindex of 13, co-authored 23 publications receiving 1594 citations. Previous affiliations of Mario Schijven include Texas A&M University & Tilburg University.
Papers
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How Do Firms Learn to Make Acquisitions? A Review of Past Research and an Agenda for the Future
Harry G. Barkema,Mario Schijven +1 more
TL;DR: This article reviewed early work on negative experience transfer, deliberate learning mechanisms, and learning from others, which provide deeper insight into the contingencies and mechanisms of organizational learning in strategic settings such as acquisitions.
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Toward Unlocking The Full Potential of Acquisitions: The Role of Organizational Restructuring
Harry G. Barkema,Mario Schijven +1 more
TL;DR: In this article, the authors study when and how firms unlock synergy from acquisitions over extended periods of time, arguing that initial integration is inevitably suboptimal and that, as a result, acquisitive growth decreases an acquirer's performance, eventually forcing it to engage in organizational restructuring to more fully unlock the synergistic potential.
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Fuzzy Logic and the Market: A Configurational Approach to Investor Perceptions of Acquisition Announcements
TL;DR: In this article, the authors present an analysis of how isolated acquirer-and deal-specific factors affect abnormal stock returns, and propose a method to identify the most important factors.
Posted Content
Manifestations of Higher-Order Routines: The Underlying Mechanisms of Deliberate Learning in the Context of Postacquisition Integration
TL;DR: It is argued that experience codification gives rise to inertial forces that hamper the customization of routines to any given acquisition, and that successful acquirers develop higher-order routines that prevent the generalization of inapplicable ('zero-order') codified routines.
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Manifestations of Higher-Order Routines: The Underlying Mechanisms of Deliberate Learning in the Context of Postacquisition Integration
TL;DR: In this paper, the underlying mechanisms of deliberate learning in the context of post-acquisition integration are explored, based on the codification and dynamic capabilities literatures, and deeper insight into the underlying mechanism of learning is provided.