Expert systems: artificial intelligence in business
Expert systems: artificial intelligence in business
A guide to expert systems
Building expert systems
Expert systems: perils and promise
Communications of the ACM
Expert systems: the next challenge for managers
Sloan Management Review
Introduction to expert systems
Introduction to expert systems
Expert systems for business
Should a manager “hire” an expert system
Expert systems for business
AI meets the corporate mainframe
Infosystems
Expert systems: tools and applications
Expert systems: tools and applications
Building expert systems: cognitive emulation
Building expert systems: cognitive emulation
Applying genetics to fuzzy logic
AI Expert
Expert systems: a mapping between symbol susceptible tasks and software tools
Expert systems: a mapping between symbol susceptible tasks and software tools
Selection criteria for expert system shells: a socio-technical framework
Communications of the ACM
The implementation of expert systems: a survey of successful implementations
ACM SIGMIS Database
Software Engineering: A Practitioner's Approach
Software Engineering: A Practitioner's Approach
Expert Systems and Applied Artificial Intelligence
Expert Systems and Applied Artificial Intelligence
Creating Expert Systems for Business and Industry
Creating Expert Systems for Business and Industry
Transfer Pricing-Integrating Expert Systems in MIS Environments
IEEE Expert: Intelligent Systems and Their Applications
Applying Machine Learning to Semiconductor Manufacturing
IEEE Expert: Intelligent Systems and Their Applications
Extending Component Connection Modeling for Analyzing Complex Physical Systems
IEEE Expert: Intelligent Systems and Their Applications
Critical success factors in expert system development: a case study
SIGCPR '96 Proceedings of the 1996 ACM SIGCPR/SIGMIS conference on Computer personnel research
Socio-technical and human cognition elements of information systems
User participation in decision support systems development: influencing system outcomes
European Journal of Information Systems
Web-based expert systems: benefits and challenges
Information and Management
Journal of Management Information Systems - Special issue: Impacts of information technology investment on organizational performance
The no inference engine theory - Performing conflict resolution during development
Decision Support Systems
An expert system using an extended AND-OR graph
Knowledge-Based Systems
Identifying the characteristics of successful expert systems: an empirical evaluation
International Journal of Information Technology and Management
Testing Klein and Sorra's innovation implementation model: An empirical examination
Journal of Engineering and Technology Management
Legal Theory, Sources of Law and the Semantic Web
Proceedings of the 2009 conference on Legal Theory, Sources of Law and the Semantic Web
Knowledge Modelling Using UML Profile for Knowledge-Based Systems Development
Proceedings of the 2007 conference on Emerging Artificial Intelligence Applications in Computer Engineering: Real Word AI Systems with Applications in eHealth, HCI, Information Retrieval and Pervasive Technologies
Web-based expert systems: benefits and challenges
Information and Management
Using unified modeling language for conceptual modelling of knowledge-based systems
ER'07 Proceedings of the 26th international conference on Conceptual modeling
The end of the information system life: a model of is discontinuance
ACM SIGMIS Database
The adoption of hyped technologies: a qualitative study
Information Technology and Management
Generic Problem Solving Tasks and Agent Roles in Public Administration
Proceedings of the 2010 conference on Legal Knowledge and Information Systems: JURIX 2010: The Twenty-Third Annual Conference
Developing a UML profile for modelling knowledge-based systems
MDAFA'03 Proceedings of the 2003 European conference on Model Driven Architecture: foundations and Applications
Human resource management applications of knowledge-based systems
International Journal of Information Management: The Journal for Information Professionals
Perceived Impact and Diffusion of Expert Systems in Banking: An Exploratory Investigation
International Journal of Information Management: The Journal for Information Professionals
Human elements in information system design for knowledge workers
International Journal of Information Management: The Journal for Information Professionals
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Expert systems (ES) were among the earliest branches of artificial intelligence (AI) to be commercialized. But how successful have they actually been? Many well-publicized applications have proven to be pure hype, numerous AI vendors have failed or been completely reorganized, major companies have reduced or eliminated their commitment to expert systems, and even Wall Street has become disillusioned -- a predicted $4 billion market proving to be smaller by an order of magnitude. Yet, in spite of these setbacks, there are many companies who remain enthusiastic proponents of the technology, and continue to develop important ES applications.The paper describes an investigation exploring how the first wave of commercial expert systems, built during the early and mid-1980s, fared over time. An important subset of these systems, identified in a catalog of commercial applications compiled in 1987, was located through a telephone survey, and detailed information on each systems was gathered. The data collected show that most of these systems fell into disuse or were abandoned during a five-year period from 1987 to 1992, while about a third continued to thrive. Quantitative and qualitative analysis of the data further suggested that the short-lived nature of many systems was not attributable to failure to meet technical performance or economic objectives. Instead, managerial issues such as lack of system acceptance by users, inability to retain developers, problems in transitioning from development to maintenance, and shifts in organizational priorities, appeared to be the most significant factors resulting in long term systems disuse.