Journal ArticleDOI
A survey of knowledge acquisition techniques and their relevance to managerial problem domains
Jungduck Kim,James F. Courtney +1 more
- Vol. 4, Iss: 3, pp 269-284
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TLDR
A conceptual contingency model matching the characteristics of knowledge acquisition methodologies to several decision types is proposed and developed, and implications of the proposed model and future research directions are addressed.Abstract:
A conceptual contingency model matching the characteristics of knowledge acquisition (KA) methodologies to several decision types is proposed KA methodologies are divided into three categories: knowledge engineer-driven, expert-driven, and machine-driven To evaluate current KA methodologies, a framework is proposed by addressing the nature of knowledge and problem domains Different methodologies in each category are described and evaluated for their ability to support various kinds of problem domain and the types of knowledge they are designed to elicit A contingency model mapping these methodologies to Mintzberg's managerial decision categories is developed Implications of the proposed model and future research directions are addressedread more
Citations
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Journal ArticleDOI
A synthesis of research on requirements analysis and knowledge acquisition techniques
TL;DR: This article compares representative RA and KA techniques, which are grouped, according to elicitation mode, on three dimensions: communication obstacles, a technique's focus of control, and the nature of the understanding gained from using the technique.
Journal ArticleDOI
Use of the Critical Decision Method to Elicit Expert Knowledge: A Case Study in the Methodology of Cognitive Task Analysis:
TL;DR: The Critical Decision Method research illustrates the sorts of knowledge representation products that can arise from cognitive task analysis and shows how one can approach methodological issues surrounding Cognitive task analysis, including questions about data quality and method reliability, efficiency, and utility.
Journal ArticleDOI
Knowledge-based systems and knowledge management: friends or foes
Paul H. J. Hendriks,Dirk Vriens +1 more
TL;DR: The key issue addressed in this article is: how does knowledge engineering relate to a broader perspective of knowledge management?
Journal ArticleDOI
Trends in expert system development
TL;DR: This research has painstakingly collected and analysed the content of 311 ES case studies dating from 1984 through 2016, helpful in identifying how ES research has evolved and areas for further research.
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Towards a Theory of Social Work Expertise
TL;DR: Fook et al. as discussed by the authors conducted a qualitative exploratory study of thirty experienced social workers to identify some characteristics of social work expertise, including a confidence with professional identity and an ability to deal with complexities.
References
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Categorization and Representation of Physics Problems by Experts and Novices
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TL;DR: This [reading] argues that spans of control, types of formalization and decentralization, planning systems, and matrix structures should not be picked and chosen independently, the way a shopper picks vegetables at the market or a diner a meal at a buffet table.