Theoretical model of new ways of knowledge creation and their impact on exploratory and exploitative innovation

The main purpose of this paper is to model the new ways of knowledge creation and their relationship with both exploratory and exploitative innovation. Based on Dubin’s quantitative method of theory building, a conceptualization of a model concerning transformations in the creation of knowledge in an organization embedded in technology is presented. The authors construct and analyze a novel model called Persistent Leveraging of Artificial Intelligence (AI) Systems Tapers Innovation Capability ‘PLASTIC’, which models on-going transitions in knowledge management practices. The theoretical model aids in the understanding of the specific knowledge processes within an organization and the main prospective challenges, obstacles and difficulties for knowledge management over the next decade. It discusses the role of a changeable environment and the interactions between technology-driven transformations and human-oriented practices, and it enables the evaluation of the future adaptation in knowledge management processes. This research is the first to challenge the impact of AI aided searching on the workforce and provides the catalyst for discussion of long-term innovation implications.