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Expert system technology in organisational process domain modelling
Author(s) -
Sugumaran Vijayan,
Bose Ranjit
Publication year - 1996
Publication title -
expert systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.365
H-Index - 38
eISSN - 1468-0394
pISSN - 0266-4720
DOI - 10.1111/j.1468-0394.1996.tb00280.x
Subject(s) - computer science , process (computing) , interdependence , domain (mathematical analysis) , process modeling , knowledge base , expert system , knowledge management , subject matter expert , process management , domain knowledge , software engineering , work in process , artificial intelligence , mathematical analysis , mathematics , marketing , political science , law , business , operating system
Organisational processes are repetitive, time‐consuming and interdependent, requiring several members to interact for successful completion. Moreover, when organisations change their operating procedures it becomes difficult to carry out even routine tasks because of the confusion and lack of communication. By studying the organisational processes and the knowledge required to execute them, we can create generic process models that could be stored persistently in a repository. This process repository can serve as a corporate knowledge base, which could be accessed by intelligent computer assistants for automating organisational processes. This paper presents a framework of intelligent assistants that can emulate the behaviour of human agents in organisational problem‐solving. The generic process models can also be customised to meet the changing needs of the organisation. We present a domain modelling approach to organisational process modelling and an expert system for customising process models. The paper also describes the architecture and design of the proof‐of‐concept prototype that supports organisational process modelling, as well as process execution through intelligent computer assistants.