Abstract
Background: 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 generating explanations easily, as they typically organize and represent knowledge in a way that makes it possible to reason about and thereby generate explanations. An improvement of this paradigm is ontology-based CBR, an approach that combines, in the form of formal ontologies, case-specific knowledge with domain one in order to improve the effectiveness and explanation capability of the system. Intelligent systems make daily activities more easily, efficiently, and represent a real support for sustainable economic development. On the one hand, they improve efficiency, productivity, and quality, and, on the other hand, can reduce costs and cut waste. In this way, intelligent systems facilitate sustainable development, economic growth, societal progress, and improve efficiency. Aim: In this vision, the purpose of this paper is to propose a new generation of intelligent decision support systems for Business Model having the ability to provide explanations to increase confidence in proposed solutions. Findings/result: The performance results obtained show the benefits of the proposed solution with different requirements of an explanatory decision support system. Consequently, applying this paradigm for software tools of business model development will make a great promise for supporting business model design, sustainability, and innovation.
Highlights
Sustainability is fast becoming a need that has to be seriously confronted by decisionmakers, enterprises, and consumers [1,2]
Due to the creativity and diversity of Business Model cases and the lack of associated knowledge retrieving and intelligent systems, this paper aims at the design and implementation of a Case-Based Reasoning (CBR) system for Business Model design and validation
Following the classification proposed in [142], we have developed two types of ontologies: a core ontology that contains the different parts of the business model in more detail for a deeper understanding such as the value proposition that is the central characteristic of a business model
Summary
Sustainability is fast becoming a need that has to be seriously confronted by decisionmakers, enterprises, and consumers [1,2]. Companies should benefit from existing methodologies developed over recent decades in operations research, complex systems analysis, and artificial intelligence These techniques are increasingly used to develop sustainable solutions [30]. Many researchers have contributed to the area of business model design [31,32,33], innovation [34,35], and start-ups BMs [25] They concluded that additional tools are needed to support the design and evaluation of BM, which has led to the development of computer-based tools. No significant attention has far been paid to ontology-based CBR concerning the inclusion of BM ontologies For this reason, this paper proposes an intelligent decision support for business models that offer highly accurate decisional guidance into account by integrating explanations for designing and innovating BMs, with a case-based reasoning approach that uses domain knowledge from the BM domain. The last section concludes the paper and gives some perspectives for future enhancements of this solution
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