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 addressed.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
