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The aim of the present study is to explore Digital Transformation frontiers using the lens of Open Innovation. By implementing bibliographic coupling method, the authors bring together segmental publications from different research fields and provide a comprehensive overview of the combined Open Innovation and Digital Transformation field's intellectual structure, revealing the different groups of thoughts, influential authors, and pressing topics. The research findings illustrate, the research area has polycentric composition with absence of overlaps between articles. Five main research groups are identified: Co-evolution of Digital Technologies and Open Innovation; Digital Peer-communities; Digital Ecosystems; Knowledge Management in the Open and Digital Era; and Open Innovation, Digital Technologies, and Businesses Performance. The current research contributes both Open Innovation and Digital Transformation fields by cross-exploring each phenomenon and revealing how Digital Transformation shapes the nature of innovation as a collaborative activity as part of an independent research area.

The present study aims to better understand how and to what extent the different dimensions of Big Data can offer insights on technology evolution. By using a patent analytics perspective, in this paper, we introduce a novel approach based on co-words analysis using the abstracts of 170,279 European patents in the Internet of Things (IoT) field published from 2011 to 2019. In so doing, we map and visualize an industry’s technology structure, development, and trends, as well as disentangle the IoT technology conceptual structure, highlighting its core and boundary concepts. This is the first study that applies a decomposition framework to clarify the determinants of IoT inventions, showing relevant changes in the focus of IoT technology overtime. By shedding light on the evolutionary dynamics of the field, this research offers a valuable contribution to the technology innovation literature.

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