Applied Artificial Intelligence and the Management of Knowledge

Colquhoun-John Ferguson and Scott Goldie
Additional contact information
Colquhoun-John Ferguson: University of Paisley, Department of Management & Marketing
Scott Goldie: University of Paisley, Department of Management & Marketing

Chapter 10 in Synergy Matters, 2002, pp 55-60 from Springer

Abstract: Conclusion Previously we suggested that knowledge can only be gleaned from data/information if it is presented in a meaningful way to its users (Ferguson, 1997). The approach described here builds on this previous research which agrees with Galliers’ (1995) statement that the important question in information systems strategy is determination of the key information requirements to meet individual needs.This paper discusses the information needs of product design teams and focuses on customer feedback, standard parts and form features from existing product as being essential to their function. We propose that a hybrid approach using the techniques of data mining and case-basedreasoning may provide an increased problem solving ability for product designers. Both data mining and CBR are used to solve a problem — not purely answer a query, and it is further proposed that enabling designers the ability to solve problems from disparate corporate data sources is a major step in the implementation of effective knowledge management within the organisation.

Keywords: Data Mining; Knowledge Management; Soft System Methodology; Customer Complaint; Knowledge Management Practice (search for similar items in EconPapers)
Date: 2002
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-0-306-47467-5_10

Ordering information: This item can be ordered from
http://www.springer.com/9780306474675

DOI: 10.1007/0-306-47467-0_10

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().