<p>This paper combines bibliometric and textual analysis techniques to unpack the knowledge structure of digital innovation research. To achieve this, BiblioShiny (R-package) and VOSviewer tools were employed to perform the analysis and visualisation for the bibliometric methodology, whereas NVivo software supported the content analysis process. Relying on a sample of 315 papers retrieved from Web of Science database, we conducted performance analysis of citation and publication metrics, as well as science mapping, including co-citation, bibliographic coupling, co-word, and co-author analysis. Through the content analysis of 40 papers, we found the highest bibliographic relatedness to uncover major themes and future research directions. Our research findings highlight how the intellectual, conceptual, and social network structure of digital innovation research evolves over time. This leads us to opening frontiers in digital innovation research and definition of the new research agenda. Among the reviewed literature we also identify the managerial problems in digital innovation and derive practical implications.</p>