U. of Ljubljana, School of Economics and Business, Slovenia
This paper examines the field of digital innovation publications in management and business journals. By applying two bibliometric techniques – co-citation and bibliographic coupling analysis – we provide a comprehensive overview of digital innovation publications. The bibliometric analysis is further complemented and enhanced by a topic modeling analysis using the Latent Dirichlet Allocation (LDA) technique. We analyze 354 primary documents, identifying three foundational topics from which digital innovation draws, seven current topics from bibliometric analysis, and twelve from topic modeling analysis. We conclude with recommendations for future research in the field of innovation management. This paper reveals knowledge clusters, clarifies nomological networks, and identifies critical knowledge gaps in the literature. Additionally, it serves as a guide for complementing bibliometric and topic modeling analyses in reviewing the knowledge bases of various fields.
