Affiliation:
1. Kasdi Merbah Ouargla University, Algeria
2. University of Oum El Bouaghi, Algeria
3. University of Sfax, Tunisia
Abstract
An important axis of the contribution of business models is building a base for computer-assisted management tools. Management scholars are important actors that generate models and concepts. Nevertheless, these concepts are rarely translated into software-based tools, which could deliver huge value to management. However, the highly creative task of business model innovation is not effectively supported by these studied tools. Also, trust is not offered by these AI-based DSS systems to allow extremely accurate decisional guidance. To address these issues, the authors combine findings with studying 18 software tools from research and practice from scholars on software tools for business model design to address these problems. First, the authors provide a comprehensive taxonomy that identifies five novel categories of software-based business model development tools. Second, they provide a new generation of tools using the AI for Business Model that can give explanations in order to increase trust in suggested solutions. The performance results provided demonstrate the advantages of the suggested method.