Abstract
This study develops a collaborative decision support system to enhance the enterprise competitive intelligence (CI) decision process. A CI knowledge model is constructed by identifying concepts of and relations among instance types, decision models, rules of thumb, and weighting of organization functions. The system consists of: 1) a Domain Ontology of concepts and instances to express the knowledge categorization structure; 2) a Task Ontology to express an objective-oriented knowledge framework to express the combination of questions; and 3) Semantic Rules to develop the logical steps for problem solving. The case experiment results of high Decision Correctness Rate and Departmental Weighting Correctness Rate show that this study has extended CI from information provision to collaborative participatory decision-making support for action. © 2013 AISTI.
Recommended Citation
Chi, Y. L., & Chen, T. Y. (2013). Collaborative Competitive Intelligence: A Knowledge Base System Approach. Iberian Conference on Information Systems and Technologies, CISTI Institute of Electrical and Electronics Engineers.
Department(s)
Business and Information Technology
Keywords and Phrases
collaborative decision making; competitive intelligence; decision model; ontology; semantic rules
International Standard Book Number (ISBN)
978-989984340-0
International Standard Serial Number (ISSN)
2166-0735; 2166-0727
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
25 Nov 2013
