Cognitive mapping and certainty neuron fuzzy cognitive maps
Information Sciences: an International Journal
Supporting business process redesign using cognitive maps
Decision Support Systems
Understanding software operations support expertise: a revealed causal mapping approach
MIS Quarterly - Special issue on Intensive research in information systems: using qualitative, interpretive, and case methods to study information technology—third installment
International Journal of Electronic Commerce
The design and development of a financial cybermarket with a bundle trading mechanism
International Journal of Electronic Commerce
A firm-level framework for planning electronic commerce information systems infrastructure
International Journal of Electronic Commerce
Key issues in information systems management: an international perspective
Journal of Management Information Systems
Factors affecting the implementation success of Internet-based information systems
Computers in Human Behavior
A fuzzy cognitive mapping analysis of the impacts of an eco-industrial park
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Users and uses of the internet: The case of Singapore
International Journal of Information Management: The Journal for Information Professionals
In defense of the realm: understanding the threats to information security
International Journal of Information Management: The Journal for Information Professionals
An integrative study of information systems security effectiveness
International Journal of Information Management: The Journal for Information Professionals
Towards Hebbian learning of Fuzzy Cognitive Maps in pattern classification problems
Expert Systems with Applications: An International Journal
RuleML representation and simulation of Fuzzy Cognitive Maps
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
This study describes a causal knowledge-based expert system for planning an Internet-based stock trading system, abbreviated CAKES-ISTS. The case base of this system consists of the qualities that promote ISTS use, two specific facets of ISTS use (stock amount purchased and frequency of use), and user satisfaction. Planning ISTS requires consideration of the complex causal relationships between system qualities, system use, and performance (i.e., user satisfaction). This study also examines the factors affecting the level of system usage and performance. First, this study uses a fuzzy cognitive map (FCM) to develop the causal knowledge base of the expert system for ISTS planning. Second, this study uses structural equation modeling to estimate the relevant relationships among FCM components as well as their direction and strength. Third, this study develops rules based on system qualities to predict the usage and performance level of ISTS, allowing the identification of the qualities essential to enhance system usage and performance. This clearly shows how effective ISTS planning is possible through the inference process provided by CAKES-ISTS.