Analyzing the Societal Impact of Academic Research Using Fuzzy Inference Models

Authors

DOI:

https://doi.org/10.34190/eckm.26.1.3923

Keywords:

societal impact analysis, social impact of academic research, knowledge-based models, knowledge management, fuzzy logic

Abstract

Improving universities’ social impact is a significant problem in the higher education sector, which can be solved by appropriately shaping public policies, strategies of individual scientific organizations, and academic practices. Effectively conducting social impact analyses can support improving organizations’ functioning mechanisms and individual academics’ impact practices. These analyses can use data analysis methods and systems that are helpful for better understanding the positive or negative effects of decisions regarding selecting organizational impact strategies. The study of social impact and interactions between scientific organizations and their stakeholders is multifaceted and complex. Therefore, it requires the use of interdisciplinary approaches and sophisticated knowledge-based models. It is worth paying attention to fuzzy logic, which is useful in building such models and developing research on their application to support knowledge management necessary for conducting comprehensive analyses of the social impact of various scientific organizations. This is justified by the need to learn about the mechanisms of functioning systems of relations between scientific organizations and their stakeholders, as well as the types of influence occurring and knowledge exchange during the implemented interaction processes. The pace of changes in the scientific community environment forces an increase in openness for introducing analysis models adequate for the dynamic progress in developing new computational technologies. The main goal of this paper is to create a fuzzy inference model that helps support knowledge management for ongoing analysis and assessment of the social impact of research. The presented theoretical considerations, relating to the construction of the proposed model, are supplemented with a proposal for its implementation, which may later facilitate extensive verification studies based on empirical data. The obtained preliminary research results allow for the formulation of fundamental limitations, the overcoming of which creates a reasonable basis for further development of research on subsequent models of the analysis of social impact.

Author Biography

Tadeusz A. Grzeszczyk, Warsaw University of Technology, Faculty of Management, Poland

Tadeusz A. Grzeszczyk, Ph.D., is an Associate Professor with Habilitation at the Warsaw University of Technology, Faculty of Management, with scientific activities focused on research methodologies (qualitative, quantitative, mixed methods) in management, social sciences, and evaluation studies. His interests also include knowledge management and applications of artificial intelligence decision-support systems.

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Published

2025-08-29