Fuzzy Logic Model for Mapping Stakeholder Control Influence on Boosting Peer-Reviewed Publications
Fuzzy Logic Model for Mapping Stakeholder Control Influence on Boosting Peer-Reviewed Publications
Author(s): Maya Lambovska, Daniela TodorovaSubject(s): Higher Education , Socio-Economic Research
Published by: UIKTEN - Association for Information Communication Technology Education and Science
Keywords: Control influence; fuzzy logic; stakeholders; higher education; research management
Summary/Abstract: This article proffers a fuzzy logic model for assessing and mapping stakeholders’ control influences to boost Scopus/WoS-indexed publications by researchers. The conceptual framework of the model integrates ideas from theories of stakeholders and control, as well as Vroom’s motivation theory. The suggested model is underpinned by tools of fuzzy sets and fuzzy logic, the expert judgment method, and a validated fuzzy model for motivation towards high-quality publications. The independent variables used are stakeholder potential and motivation. The model was implemented at a university in Bulgaria. According to the results, it is straightforward to implement, operates successfully, and offers numerous benefits. Theoretically, the model advances and refines frameworks related to control over research output. Additionally, it represents a follow-up to established motivational frameworks to increase research productivity. In terms of practice, the model can function as a tool for boosting the quantity of Scopus/WoS-indexed publications in universities, thereby improving their scientific outcomes and academic governance at the national level.
Journal: TEM Journal
- Issue Year: 15/2026
- Issue No: 1
- Page Range: 202-214
- Page Count: 13
- Language: English
