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Anything relating to digitalization is certainly in vogue these days, and academic research is in fast pursuit. Currently, much of the research in this area is explanatory or conceptual, and not empirical, and exists in case studies that are spread across different disciplines (for example, strategy, management, innovation, and informatics). An initial search on Google Scholar reveals an overwhelming amount of suggested articles for search terms, such as: "digitalization" with 58,100 links, "digital disruption" with 5,570 links, or "digital transformation" with 25,500 links. In addition to this abundance of published research, much attention is now on digital technology developments driven by technology vendors. Reports describe new types of digital technologies such as: Internet of Things (IoT), machine learning (ML) and artificial intelligence (AI), virtual and augmented reality (VR and AR), or blockchain, to mention a few. A number of reports, for instance by consultancy firms, also give speculative estimates of the numbers of workers that will be affected by these technologies. In short, the accelerating emergent field of research that addresses “digitalization” and related topics is complex, unstructured and hyped. Consequently, both research and practice lack a rigorous foundation of prior published research to underpin and direct future exploration into the new digital technologies. A prerequisite condition to obtain a clearer picture of the contemporary phenomenon of digitalization is to achieve an overview of it, that goes beyond the current hype. There is a need to extend prior research that attempted to provide conceptual clarifications (e.g. Nambisan et al, 2017; Yoo et al., 2012; Yoo et al., 2010) and a uniform definition and taxonomy of the multiple and interrelated terms used in current digitalization research. The ambition of this paper is therefore to address the following research question: How can the concept of digitalization be framed into a rigorous conceptual foundation that can support research and practice alike?

Beyond the Hype: A Bibliometric Analysis Deconstructing Research on Digitalization