By Michael Stankosky
During this e-book Dr. Michael Stankosky, founding father of the 1st doctoral application in wisdom administration, units out to supply a cause and good learn foundation for developing wisdom administration (KM) as an instructional self-discipline. whereas it's well known that wisdom is the motive force of our wisdom economic climate, wisdom administration doesn't but have the legitimacy that merely rigorous educational learn offers. This booklet lays out the argument for KM as a separate educational self-discipline, with its personal physique of data (theoretical constructs), guiding ideas, society.
In growing an instructional self-discipline, there should be a greatly accredited theoretical build, arrived at by way of present process scholarly clinical research and accompanying rigor. This build turns into the foundation for a tutorial curriculum, and confirmed methodologies for perform. hence, the chapters during this booklet bridge conception and perform, supplying guiding rules to these embarking on or comparing the advantages of a KM application.
As a strategy itself for venture the improvement of a physique of information, a KM examine Map used to be built to lead students, researchers, and practitioners. This booklet provides this map, and showcases state-of-the-art scholarship already played during this nascent box through together with the dissertation result of 11 KM scholar/practitioners.
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Extra resources for Creating the Discipline of Knowledge Management. The Latest in University Research
Multimedia Repositories 4. ) 5. Decision Support Systems (Executive Information; Expert Systems) 6. Corporate IntraNet 7. Business Modeling Systems 8. Intelligent Agents 9. 10. 4 3 2 1 DNE DK The Early Pathways TECHNOLOGY/TOOLS: Please indicate which type of technology support tools/processes exist in your enterprise pertaining to KM programs/systems, and your sense of MOST (5) used, LEAST (1) used, Doesn’t Exist (DNE), or Don’t Know (DK). The research had anticipated that the scoring for use/value of the pillars in actual practice would result in the same relative relationships as had emerged in beliefs.
Construct of questionnaire: The questionnaire itself was a semi-independent “self-checking” instrument. Each of its three parts sought an answer to the same basic questions: Do the postulated “four pillars of KM” exist? How are they valued? How are they used? Are there other pillars or KSEs in use or identiﬁable? 80) ANOVA, analysis of variance. 27 Creating the Discipline of Knowledge Management 2. ” A subgroup of 28 individuals (12%) from the respondent population, were placed into an “Expert Group” because they either carried knowledge ofﬁcer/director KM titles or were known to be conversant with the lexicon of terms surrounding the basis of this research.
Beliefs: To determine respondent’s beliefs when confronted with “a forced choice” between two statements describing different KEs (pillars). The Early Pathways Table 2-2 Disciplines per Pillar/Representative Key Subelements Pillars and Disciplines Representative Key Subelements Deﬁning Each Pillar Technology/tools— Disciplines: Computer science Computational linguistics Operations research Electrical engineering Mathematics/statistics Logic Data warehousing Database management SW Multimedia repositories Groupware Decision support system Expert systems Corporate Intranet Speech understanding Business modeling systems Intelligent agents Neural networks, etc.