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George Lekakos
Researcher at Athens University of Economics and Business
Publications - 60
Citations - 2710
George Lekakos is an academic researcher from Athens University of Economics and Business. The author has contributed to research in topics: Interactive television & Recommender system. The author has an hindex of 22, co-authored 60 publications receiving 2078 citations. Previous affiliations of George Lekakos include University of the Aegean.
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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.
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Big data analytics and firm performance: Findings from a mixed-method approach
TL;DR: This paper draws on complexity theory and investigates the configurations of resources and contextual factors that lead to performance gains from big data analytics investments to show that depending on the context, big data Analytics resources differ in significance when considering performance gains.
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Big data and business analytics ecosystems: paving the way towards digital transformation and sustainable societies
TL;DR: This editorial discusses that in order to reach digital transformation and the creation of sustainable societies, first, none of the actors in the society can be seen in isolation, instead the authors need to improve their understanding of their interactions and interrelations that lead to knowledge, innovation, and value creation.
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A taxonomy of indoor and outdoor positioning techniques for mobile location services
TL;DR: This paper attempts to identify the various indoor and outdoor positioning techniques that can be used for the provision of mobile and wireless applications and services and proposes a novel taxonomy based on the accuracy that is needed for various mobile location-based services.
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A hybrid approach for movie recommendation
George Lekakos,Petros Caravelas +1 more
TL;DR: A hybrid approach based on content-based and collaborative filtering, implemented in MoRe, a movie recommendation system, is proposed and empirical comparison of the hybrid approach to the base methods of collaborative and content- based filtering is provided.