Bastian Kindermann , Torsten Oliver Salge , Daniel Wentzel , Tessa Christina Flatten , David Antons
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引用次数: 3
Abstract
While most previous research on orchestration of digital innovation ecosystems has examined governance structures, our knowledge of relevant dynamic capabilities remains abstract and lacks conceptual integration. This imbalance limits current knowledge to the extent that digital innovation ecosystem orchestration is mainly considered a structural issue. Based on a synthesis of related literature, we present a novel dynamic capabilities framework that builds on sensing, seizing, and reconfiguring capabilities for digital innovation ecosystem orchestration. We differentiate two major challenges addressed in orchestrating such ecosystems: component challenges and complement challenges. We propose six concrete routines that collectively help address these challenges. These include co-creating architectural knowledge, cultivating boundary objects, renegotiating system integration, screening complementors, co-specializing interfaces, and restructuring complementarities. We illustrate each of these routines with examples from the automotive sector. In addition, we sketch trajectories for future research both at the level of the individual routines and at the level of the overall framework.
期刊介绍:
Advances in information and communication technologies are associated with a wide and increasing range of social consequences, which are experienced by individuals, work groups, organizations, interorganizational networks, and societies at large. Information technologies are implicated in all industries and in public as well as private enterprises. Understanding the relationships between information technologies and social organization is an increasingly important and urgent social and scholarly concern in many disciplinary fields.Information and Organization seeks to publish original scholarly articles on the relationships between information technologies and social organization. It seeks a scholarly understanding that is based on empirical research and relevant theory.