Vol.15, No.1, February 2026.                                                                                                                                                                          ISSN: 2217-8309

                                                                                                                                                                                                                        eISSN: 2217-8333

 

TEM Journal

 

TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS

Association for Information Communication Technology Education and Science

 

Fuzzy Logic Model for Mapping Stakeholder Control Influence on Boosting Peer-Reviewed Publications

 

Maya Lambovska, Daniela Todorova

 

© 2026 Maya Lambovska, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)

 

Citation Information: TEM Journal. Volume 15, Issue 1, Pages 202-214, ISSN 2217-8309, DOI: 10.18421/TEM151-18, February 2026.

 

Received: 18 April 2025.
Revised: 03 September 2025.
Accepted: 08 September 2025.
Published: 27 February 2026.

 

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.

 

Keywords – Control influence, fuzzy logic, stakeholders, higher education, research management.

 

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