Measuring Social Value of Information Technology: Application of Topic Modelling and System Dynamics

• Published in: Mobile Networks and Applications
• Main Author: Choi Y.-C.; Mohamed N.
• Format: Article
• Language: English
• Published: Springer 2024
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172132474&doi=10.1007%2fs11036-023-02228-1&partnerID=40&md5=ff1014a365ab86634ead28d79ae6bbc5

This study aims to suggest a methodology for measuring the social impact that knowledge technology can have when it is applied to the public sector, using the concept of social value. For this purpose it sets four research questions. First, what are the important concepts that affect the social value brought by public programmes based on knowledge technology? Second, what are the important topics that the core concepts relating to social value come together to form? Third, how are the important concepts constituting these important topics causally related to each other? Fourth, how much social value does knowledge technology bring, and how might the results vary by policy scenario. To answer these questions, the study utilized text mining analysis, as used in big data analysis, along with system dynamics analysis to causally analyse the important topics relating to social value obtained via the analysis, and to construct the concepts included in these topics. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023.