id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_3rdd7ykfkveu5asatfqcf24ohq	Y Malhotra	Expert systems for knowledge management: crossing the chasm between information processing and sense making	2001	3	.pdf	application/pdf	1563	87	39	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. Keywords: Expert systems; Arti®cial intelligence; Knowledge management; Information systems; Information science; Business strategy; Discontinuous change; Sense making; Information processing information processing systems, often based on mathematical and computation models. enabler of performance can immensely bene®t from unraveling the intervening processes of human sense making systems research and practice in knowledge management, researchers to develop knowledge management systems sense-making capabilities of AI and expert systems technologies and humans using them.	./cache/work_3rdd7ykfkveu5asatfqcf24ohq.pdf	./txt/work_3rdd7ykfkveu5asatfqcf24ohq.txt