An empirical evaluation of factors influencing expert systems effectiveness

Girish H. Subramanian; Gayle J. Yaverbaum; Stephen J. Brandt

doi:10.1016/S0164-1212(96)00155-0

An empirical evaluation of factors influencing expert systems effectiveness

Girish H. Subramanian, Gayle J. Yaverbaum, Stephen J. Brandt

School of Business Administration (Harrisburg)

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

Abstract

This study explores expert system effectiveness by testing an expert system development model and analyzing the life cycle development process. The objective is to determine the nature of the interactions within the expert system development process and how the process affects expert system effectiveness. The results suggest that life cycle development stages critically impact the overall perception of system effectiveness.

Original language	English (US)
Pages (from-to)	255-261
Number of pages	7
Journal	Journal of Systems and Software
Volume	38
Issue number	3
DOIs	https://doi.org/10.1016/S0164-1212(96)00155-0
State	Published - Sep 1997

All Science Journal Classification (ASJC) codes

Software
Information Systems
Hardware and Architecture

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10.1016/S0164-1212(96)00155-0

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title = "An empirical evaluation of factors influencing expert systems effectiveness",

abstract = "This study explores expert system effectiveness by testing an expert system development model and analyzing the life cycle development process. The objective is to determine the nature of the interactions within the expert system development process and how the process affects expert system effectiveness. The results suggest that life cycle development stages critically impact the overall perception of system effectiveness.",

author = "Subramanian, {Girish H.} and Yaverbaum, {Gayle J.} and Brandt, {Stephen J.}",

year = "1997",

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AU - Brandt, Stephen J.

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AB - This study explores expert system effectiveness by testing an expert system development model and analyzing the life cycle development process. The objective is to determine the nature of the interactions within the expert system development process and how the process affects expert system effectiveness. The results suggest that life cycle development stages critically impact the overall perception of system effectiveness.

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DO - 10.1016/S0164-1212(96)00155-0

M3 - Article

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VL - 38

SP - 255

EP - 261

JO - Journal of Systems and Software

JF - Journal of Systems and Software

IS - 3

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An empirical evaluation of factors influencing expert systems effectiveness

Abstract

All Science Journal Classification (ASJC) codes

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