{"title":"IDSS-BM: Intelligent Decision Support System for Business Models","authors":"Basma Hamrouni, A. Korichi, Abdelhabib Bourouis","doi":"10.1145/3330089.3330099","DOIUrl":null,"url":null,"abstract":"For decision makers, the Business Model is crucial for the success of organizations. It reflects manager's assumptions about what customers want, and how an enterprise can best meet those needs and get paid for. Decision support systems can assist in making Business Model design decisions. However, previous work on decision support systems for business models provides no solution for explaining their reasoning for managers. The purpose of this paper is to discuss the development of a new generation of intelligent decision support system that have ability of providing explanations to increase confidence in proposed solutions. The intelligent system by giving some support for the suggested conclusions could be used as learning tool in business schools. The proposed system uses Case-Based Reasoning (CBR) as the resolution methodology, which is an important aspect of artificial intelligence. It is a computational methodology designed to generate new solutions to given problems by analyzing known solutions to previously solved problems. The Business Model decision-making tool would provide both the solution and explanation on how it is obtained.","PeriodicalId":251275,"journal":{"name":"Proceedings of the 7th International Conference on Software Engineering and New Technologies","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 7th International Conference on Software Engineering and New Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3330089.3330099","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
For decision makers, the Business Model is crucial for the success of organizations. It reflects manager's assumptions about what customers want, and how an enterprise can best meet those needs and get paid for. Decision support systems can assist in making Business Model design decisions. However, previous work on decision support systems for business models provides no solution for explaining their reasoning for managers. The purpose of this paper is to discuss the development of a new generation of intelligent decision support system that have ability of providing explanations to increase confidence in proposed solutions. The intelligent system by giving some support for the suggested conclusions could be used as learning tool in business schools. The proposed system uses Case-Based Reasoning (CBR) as the resolution methodology, which is an important aspect of artificial intelligence. It is a computational methodology designed to generate new solutions to given problems by analyzing known solutions to previously solved problems. The Business Model decision-making tool would provide both the solution and explanation on how it is obtained.