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Philipp Tuertscher

Researcher at VU University Amsterdam

Publications -  32
Citations -  1285

Philipp Tuertscher is an academic researcher from VU University Amsterdam. The author has contributed to research in topics: Crowdsourcing & Open innovation. The author has an hindex of 11, co-authored 28 publications receiving 972 citations. Previous affiliations of Philipp Tuertscher include Vienna University of Economics and Business.

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Incomplete by Design and Designing for Incompleteness

TL;DR: In this article, the authors examine Linux and Wikipedia as two exemplary cases to explore the nature of design in such a protean world and highlight a pragmatic approach to design in which incompleteness is harnessed in a generative manner.
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Perspectives on Innovation Processes

TL;DR: In this paper, the authors identify four different kinds of complexities associated with innovation processes that they label as evolutionary, relational, temporal, and cultural complexities and draw attention to literatures that suggest that it is far more productive to harness these complexities for sustaining ongoing innovation.
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Research Note---Mapping the Field of Virtual Work: A Cocitation Analysis

TL;DR: This paper uses cocitation analysis of research published in all social science disciplines to map research on virtual work to understand the intellectual base from which this field has emerged, explore how this field have evolved over time, and identify clusters of research themes that have emerged over time and the relationships between them.
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Justification and Interlaced Knowledge at ATLAS, CERN

TL;DR: A longitudinal study of the emergence of the ATLAS detector shows that the coordination of initial architectural choices was driven by cycles of contestation and justification that resulted in the creation of interlaced knowledge-pockets of shared knowledge interwoven within and across subsystem communities at ATLAS.
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The Open Innovation in Science research field: a collaborative conceptualisation approach

Susanne Beck, +47 more
TL;DR: The Open Innovation in Science (OIS) Research Framework as discussed by the authors proposes a framework to capture the antecedents, contingencies, and consequences of open and collaborative practices along the entire process of generating and disseminating scientific insights and translating them into innovation.