Abstract
This dissertation investigates how Generative Artificial Intelligence (GenAI) reshapes the foundations of organizational cognition by reconfiguring the relationship between knowledge management, sensemaking, and decision-making. While classical theories have treated these domains as analytically distinct — bounded rational choice, interpretive sensemaking under equivocality, and knowledge conversion between tacit and explicit forms — emerging evidence suggests that their coupling is tightening under generative mediation. Drawing on four empirical studies, the dissertation analyzes: (i) the limits of SME-oriented KM taxonomies and the emergence of role-based classifications for GenAI-mediated knowledge systems; (ii) the ecosystemic orchestration of GenAI services, where governance and legitimacy function as endogenous value-creating layers; (iii) managerial delegation architectures that redistribute cognitive labour and decision premises between humans and GenAI chatbots; and (iv) the shifting role of chatbots in sensemaking under varying degrees of equivocality. Across these studies, GenAI chatbots appear not merely as a passive tool but as a cognitive artefacts that co-produces meaning, generates knowledge artefacts, and scaffolds commitments in real time. The findings show that GenAI chatbots collapse the sequential create–store–share–apply cycle into recursive conversational traces, alters the locus of bounded rationality through distributed agency, and renders epistemic reliability an emergent property of ecosystem orchestration. The dissertation introduces the theoretical model of entangled cognition, a boundary condition that arises when decision-making, sensemaking, and knowledge management unfold as braided, governable processes enacted through human–AI dialogue. In this entangled state, reasoning, interpretation, and judgment are co-produced through interaction: to make sense is already to decide, and to decide is to give meaning.