Title: Software and human agents in Knowledge Codification
Abstract: AbstractAbstractIn the age of digital networks and databases, gathering data is no longer a differentiating attribute. Instead, the onus is upon creating knowledge and codifying it into the organizational routine. The central theme of this paper is to offer a systematic knowledge codification routine that embodies specific agent attributes and best re-engineering practices. The knowledge process re-engineering schema is proposed as a routine comprising extraction, transformation, and loading to encompass seeking knowledge inputs, converting them based on context, and codifying knowledge for organizational reuse. Using the organization as the primary unit of analysis, the scope of our discussion explicates an agent-mediated process re-engineering model of knowledge creation and codification. The proposed re-engineering captures the synthetic transformation of data into information, information into explicit knowledge, the use of explicit knowledge as an input to tacit knowledge, and the codification of tacit knowledge into explicit knowledge in an attempt to shift the ownership and control of knowledge from the individual to the organization.Keywords: knowledge codificationknowledge creationknowledge agentsknowledge re-engineering AcknowledgementsWe are extremely thankful to the editors and anonymous reviewers for their time, patience, and constructive suggestions. In particular, we thank anonymous reviewers 1 and 2 for their insightful pointers.Additional informationNotes on contributorsPratim DattaAbout the authorsPratim Datta holds an MS and PhD in Information Systems and Decision Sciences from Louisiana State University and is currently an assistant professor of Information Systems at Kent State University. Dr. Datta's research interests include technology reengineering, information economics, IT infrastructure design and performance, and global issues related to information systems. Dr. Datta has several years of industry and consulting experience. He has 18 refereed publications in journals such as the Journal of the AIS (Association of Information Systems), European Journal of Information Systems, Information Systems Journal, Information Resources Management Journal, Communications of the AIS, IEEE Transactions, Journal of the American Society of Information Systems and Technology, IS Frontiers, and the Journal of End-User Computing.William AcarWilliam Acar (Dipl. Ing.; M.A.Sc. Waterloo, CA; Ph.D. Wharton-Upenn, U.S.A.) teaches Management and Information Systems at Kent State University. The author of numerous published articles, Dr. Acar is the initial author of the CSM causal mapping method for the analysis of complex business situations and related a book titled Scenario-Driven Planning. Currently, his method is being used to develop a computerized GSS for solving strategic and organizational learning problems. He has also developed measures of diversity better calibrated than the Herfindahl index and the Entropy function. He has published in journals such as: Strategic Management Journal, Journal of Management Studies, INFOR, Decision Sciences, OMEGA, Journal of Management, Information Systems, European Journal of Operational Research, International Journal of Operational Research, Systems Research, Behavioral Science, FUTURES, International Journal of Organizational Analysis, International Journal of Technology Management, Production & Inventory Management, Strategic Change, INTERFACES and the International Journal of Commerce & Management.
Publication Year: 2010
Publication Date: 2010-02-18
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 16
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