Analyzing and Modelling Information and Body of Knowledge based on the Principle of Social Return on Investment Using Knowledge Engineering

• Main Authors: Chanbang, Chanathip, Yanchinda, Jirawit
• Format: Conference Proceeding
• Language: English
• Subjects: Decision Support System; Decision support systems; Knowledge based systems; Knowledge engineering; Knowledge Management; Media; Organizations; Social Return on Investment; User interfaces
• ISSN: 2768-4644
• DOI: 10.1109/ECTIDAMTNCON60518.2024.10480067

In the past recent years, social value or social impact has been an increasing trend among social enterprises and public sectors. Making many organizations are required to evaluate and report the social and economic value they generated. Social Return on Investment (SROI) is the most popular and internationally accepted method for assessing social value. Despite there are many advantages of this method, there are some issues for applying SROI. The SROI required the trained personnel to use and have subjective issues in some part. This research objectives are i) to analyze and synthesize information and body of knowledge based on the Social Return on Investment in College of Arts, Media and Technology for designing decision support system and ii) to design decision support system for Social Return on Investment evaluation in College of Arts, Media and Technology. The goal is to offer solution for SROI which is DSS by using CAMT to be case study. Knowledge management process and knowledge engineering are used in methodology part for capturing knowledge from expert. After the knowledge is extracted and validated by expert and users, the user interface of DSS was designed from the acquired knowledge, to guide the knowledge workers to perform SROI evaluation following the expert procedure, reducing the struggle. Moreover, the user interface was designed to be user-friendly and reduce subjective issues.