What is it about?
The paper presents the development of an expert system called StrategyAdvisor Cloud. This web-based system supports decision-making in strategic management by utilizing knowledge graphs. The methodology used in the development process allows for knowledge acquisition and rule base construction through customized visual languages. The paper describes the system and its development process in detail, providing guidance for the creation of similar systems in the future. The research contributes by addressing the gap in using visualization and visual languages in strategic management and by documenting the development of web-based expert systems for strategic management consulting. The paper's findings can be valuable for industry professionals and newcomers to the field, offering insights into the application of knowledge graphs in strategic management decision-making.
Featured Image
Photo by Hunters Race on Unsplash
Why is it important?
The presented research is important for several reasons. Firstly, it addresses the challenges of knowledge acquisition in expert system development by utilizing customized visual languages and knowledge graphs. This approach allows for efficient knowledge acquisition and representation, making it easier for project members with different roles and capabilities to contribute to the system's development. Secondly, the use of visualization and visual languages in strategic management decision-making is a unique aspect of this research. By incorporating visual representations of knowledge graphs, the system enhances the understanding and communication of complex strategic management concepts and strategies. Furthermore, this research fills a gap in the literature by providing a detailed description of the development process and the expert system itself. This can serve as a valuable guide for researchers and practitioners interested in developing similar web-based expert systems for strategic management consulting. Overall, this research offers a timely and innovative approach to support strategic management decision-making. It provides a framework for leveraging knowledge graphs and visualization techniques, enabling researchers and practitioners to develop more effective and user-friendly expert systems in the field of strategic management.
Perspectives
The research publication on the development of a web-based strategic management expert system using knowledge graphs opens up fresh perspectives and new opportunities for further research. It introduces a multistage methodology that combines knowledge graphs and visualization techniques, which can inspire studies on the application of similar methodologies in other domains. This research also highlights the importance of customized visual languages for knowledge acquisition and representation, which can motivate investigations into the development of visual-based expert systems in different fields. Additionally, the paper's focus on strategic management consulting and the use of web-based expert systems can encourage research on the integration of advanced technologies, such as artificial intelligence and machine learning, into strategic decision-making processes. Overall, this publication paves the way for innovative research in the development of expert systems, knowledge graphs, and decision support systems in various industries and domains.
Gurdal Ertek
Read the Original
This page is a summary of: Development of a Web-Based Strategic Management Expert System Using Knowledge Graphs, January 2023, Springer Science + Business Media,
DOI: 10.1007/978-981-99-3243-6_48.
You can read the full text:
Resources
Contributors
The following have contributed to this page
