Expert systems for knowledge management: crossing the chasm between information processing and sense making
Based on insights from research in information systems, information science, business strategy and organization science, this paper develops the bases for advancing the paradigm of AI and expert systems technologies to account for two related issues: (a) dynamic radical discontinuous change impacting organizational performance; and (b) human sense-making processes that can complement the machine learning capabilities for designing and implementing more effective knowledge management systems.
expert systems knowledge management information processing sense making information systems information science business strategy discontinuous change artificial intelligence