The Business Failure of Knowledge-Based Systems: Linking Knowledge-Based Systems and Information Systems Methodologies for Strategic Planning

1994 ◽  
Vol 9 (3) ◽  
pp. 173-184 ◽  
Author(s):  
Nathalie N. Mitev

It is first argued that the commercial failure of knowledge-based systems (KBS) is due to the lack of business emphasis of KBS development methodologies. This article outlines the evolution of KBS methodologies and the recent change of emphasis from a technology-driven to a business-led approach. It further examines the ‘application identification and selection’ activities of two KBS methodologies, KADS and STAGES. Their weaknesses are highlighted and it is argued that an integrated strategic methodological approach to the development of information systems and knowledge-based systems is required. The strategic phase of an IS methodology is then summarized; specific points within it where KBS-related activities could be incorporated are identified. This exercise illustrates how IS methodologies could be used as a basis for the joint strategic planning of IS and KBS systems.

1992 ◽  
Vol 26 (1) ◽  
pp. 100-104 ◽  
Author(s):  
Alise E. Woodruff ◽  
C. Anthony Hunt

The outlook for pharmacy-related services foretells more involvement of both computers and information systems. Expert therapeutic systems and databases will enable pharmacists to expand their consultation potential through networks and improve the quality of healthcare that they provide. Therapeutic information management could be the largest pharmacy speciality of the future. As knowledge-based systems and networks become commonplace, there will be an increasing need for new components, system monitoring, and quality assurance. This is an opportunity for pharmacy to bring medical computing, as it relates to therapeutics, into the mainstream of the profession as a new discipline.


Author(s):  
Guisseppi Forgionne ◽  
Manuel Mora ◽  
Jatinder N.D. Gupta ◽  
Ovsei Gelman

Decision-making support systems (DMSS) are specialized computer-based information systems designed to support some, several or all phases of the decision-making process (Forgionne et al., 2000). They have the stand-alone or integrated capabilities of decision support systems (DSS), executive information systems (EIS) and expert systems/knowledge based systems (ES/KBS). Individual EIS, DSS, and ES/KBS, or pair-integrated combinations of these systems, have yielded substantial benefits for decision makers in real applications.


Author(s):  
Salam Abdallah

The challenge of transforming data and information in enterprise information systems into knowledge that can be rolled up and presented to management as key performance indicators is business-critical. The implementation of a business intelligence layer on top of the transaction processing systems and management information systems is viewed as an opportunity to move up a level to promote knowledge-based decision-making and strategic planning. This chapter attempts to examine the issues and challenges associated with the initiative by Abu Dhabi Finance to implement business intelligence solutions that extract information from the enterprise information systems, present them as KPIs for senior management, and produce knowledge that can be used to support decision-making and strategic planning.


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