J
John Krogstie
Researcher at Norwegian University of Science and Technology
Publications - 356
Citations - 9972
John Krogstie is an academic researcher from Norwegian University of Science and Technology. The author has contributed to research in topics: Information system & Enterprise modelling. The author has an hindex of 43, co-authored 341 publications receiving 7517 citations. Previous affiliations of John Krogstie include Norwegian Institute of Technology & Accenture.
Papers
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Smart sustainable cities of the future: An extensive interdisciplinary literature review
Simon Elias Bibri,John Krogstie +1 more
TL;DR: The applied theoretical inquiry into smart sustainable cities of the future is deemed of high pertinence and importance—given that the research in the field is still in its early stages, and that the subject matter draws upon contemporary and influential theories with practical applications.
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Big data analytics capabilities: a systematic literature review and research agenda
TL;DR: The present paper aims to provide a systematic literature review that can help to explain the mechanisms through which big data analytics (BDA) lead to competitive performance gains and identifies gaps in the extant literature and proposes six future research themes.
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Process models representing knowledge for action: a revised quality framework
TL;DR: The quality framework in relation to active process models is discussed and a revised framework based on this is suggested.
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Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities
TL;DR: Results show that a strong BDAC can help firms build a competitive advantage, and suggest that IS researchers should look beyond direct effects of big data investments and shift their attention on how aBDAC can be leveraged to enable and support organizational capabilities.
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Big Data Analytics Capabilities and Innovation: The Mediating Role of Dynamic Capabilities and Moderating Effect of the Environment
TL;DR: Examination of the indirect relationship between a big data analytics capability (BDAC) and two types of innovation capabilities finds that dynamic capabilities fully mediate the effect on both incremental and radical innovation capabilities.