Please use this identifier to cite or link to this item: https://dspace.univ-ouargla.dz/jspui/handle/123456789/35947
Title: Management and AI: Towards An Intelligent Decision Support System For Strategic Management
Authors: Korichi, Ahmed
Bourouis, Abdelhabib
HAMROUNI, Basma
Keywords: decision support system
business model
case-based reasoning
ontology
explanation
Issue Date: 2024
Publisher: UNIVERSITY OF KASDI MERBAH OUARGLA
Abstract: Case-Based Reasoning (CBR) is a problem-solving paradigm that uses knowledge of relevant past experiences (cases) to interpret or solve new problems. CBR systems allow for easily generating explanations as they typically organize and represent knowledge in a way that makes it possible to reason about and thereby generate explanations. An improvement to this paradigm is ontology-based CBR, an approach that combines, in the form of formal ontologies, case-specific knowledge with domain-specific knowledge in order to improve the effectiveness and explanation capability of the system. Intelligent systems as an applied domain of artificial intelligence (AI) include the processes, methodologies, and techniques of employing AI for real-world problem-solving. In this way, intelligent systems enhance management processes at all levels, operational and strategic. The business model represents a concept that has recently entered scholarly discussions within the fields of strategic management, entrepreneurship, and innovation. It is considered a strategic tool and a cognitive framework that helps strategy practitioners and endows entrepreneurs with a template for integrating and organizing strategically relevant elements in order to successfully exploit a business opportunity and remain profitable in the long run. With this vision, the purpose of this project is to propose a new generation of intelligent decision support systems for Business Models that have the ability to provide explanations to increase confidence in proposed solutions. The performance results obtained show the benefits of the proposed solution with different requirements of an explanatory decision support system. Consequently, applying this paradigm to software tools for business model development will have great promise for supporting business model design and innovation. We have enriched research in the branch of intelligent systems for BM by developing a conceptual design for the intelligent decision support system for strategic decision-making by proposing an intelligent technique. This study is part of a growing body of research on tools for Business Model design; this project will contribute to future research on similar topics.
Description: Computer Science
URI: https://dspace.univ-ouargla.dz/jspui/handle/123456789/35947
Appears in Collections:Département d'informatique et technologie de l'information - Doctorat

Files in This Item:
File Description SizeFormat 
HAMROUNI BASMA _Doctorat.pdf1,51 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.