IS

Meyer, Marc H.

Research Interests (5)

List of Topics (5)

Topic Weight Topic Terms
0.192 framework model used conceptual proposed given particular general concept frameworks literature developed develop providing paper
0.178 expert systems knowledge knowledge-based human intelligent experts paper problem acquisition base used expertise intelligence domain
0.122 secondary use primary data outcomes objective ways analysis range addresses development purpose budget past outcome
0.109 research study different context findings types prior results focused studies empirical examine work previous little
0.108 complexity task environments e-business environment factors technology characteristics literature affect influence role important relationship model

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List of Coauthors (1)

Curley, Kathleen Foley 1

Article Keywords (5)

corporate strategy 1 Expert systems 1 MIS management 1 project planning 1
technical staffing 1

Articles (1)

An Applied Framework for Classifying the Complexity of Knowledge-Based Systems. (MIS Quarterly, 1991)
Authors: Abstract:
    The development and use of knowledge-based (expert) systems has grown dramatically across a broad range of industries. Yet despite its growing importance, the study of expert systems lacks a cohesive framework for differentiating and comparing expert systems initiatives across different applications and in different industrial settings. The problem for IS managers is that a system that works in one situation may not be appropriate for another. This article presents a classification methodology for the systematic evaluation of a broad range of expert systems. Of primary concern in this study is the measurement of the complexity of such systems. Complexity in the area of expert systems consists of two basic dimensions. The first dimension is the complexity of the underlying knowledge residing with the key experts. The second dimension of the framework focuses on the complexity of the technology incorporated into a given system. This framework is then applied to a sample of 50 successfully developed knowledge-based systems. The results can be used as a foundation for generating research hypotheses for development time, budget, staffing, organizational control, and organizational participation.