Abstract

ASReview setting's project for replication and assessment purpose regarding to an SRL entitled 'Enterprise Knowledge Creation: A Systematic Review of Ontological and Epistemological Approaches Exploring AI Opportunities' In the modern business landscape, effective enterprise knowledge creation has become a critical factor in determining organizational success. This systematic review utilizes the TCCM (Theories, Constructs, Characteristics, Methods) framework to explore ontological and epistemological approaches for enterprise knowledge creation while identifying opportunities for leveraging emerging technologies, particularly Artificial Intelligence (AI). The review aims to bridge the gap between theoretical models and practical implementations of knowledge creation, integrating ontological frameworks, epistemological considerations, and technological advancements. It addresses three research questions: (1) identifying the primary ontological frameworks and their incorporation of epistemological elements; (2) outlining major gaps and challenges in current knowledge creation approaches; and (3) examining how AI-driven solutions integrated with ontological and epistemological models can enhance strategic knowledge creation in dynamic environments. The findings reveal critical gaps, including the limited intentional leverage of epistemological principles, insufficient empirical validation of hybrid models, and challenges in integrating social, cultural, and organizational factors into knowledge practices. The study suggests that future research should emphasize dynamic ontologies and AI-driven solutions to foster more comprehensive and context-sensitive knowledge-creation processes. These insights offer valuable directions for enterprises seeking to enhance their knowledge-driven capabilities and maintain a competitive edge in an increasingly complex business environment.