Searching Dimensions and Directions for Digital Innovations Within the Insurance Industry: A Knowledge-Centered Approach

Abstract

Discovery of digital innovations is a key organizational capability for sustaining competitive advantage. Despite its importance, discovery of digital innovations is still ill understood. In this paper, the authors seek to provide a theory-based practice for digital innovation discovery. To meet this objective, they source the theories of knowledge and knowledge combination. Data for this case study were collected through semi-structured interviews and a quantitative questionnaire from three pension insurance companies. The data were analyzed by using principal component analysis and by constructing biplots based of the results. Two significant dimensions in the digitalization needs that guide knowledge synthesis were recognized: the importance of adopting the enabler and the volume of resources needed to adopt the enabler. A closer look at the enablers revealed that the most business-critical current digital business enablers for the pension insurance industry are business process automation, online services, and big data.