Plagiarism in the scientific environment: Assessing economic losses, current problems and solutions in countering research falsification

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Relevance. The relevance of the study is determined by the importance of developing approaches to assessing the damage caused to the scientific community and society as a whole by manifestations of deviant behaviour at all stages of the scientific process. The problem of science development from the point of view of ambivalence of scientific principles and behaviour of individual representatives of the scientific community is considered. Purpose. The main objective of the study is to develop a conceptual approach that allows for the assessment of economic losses caused by deviations from constructive behaviour in the process of scientific activity. Methodology. The set of methods used in the research process is represented by the methods of deduction and induction, analysis, and synthesis, comparative and system analysis, elements of economic and mathematical modelling. Results. The cases of unfairness in conducting research and their impact on reducing the level of trust in science have been studied. The formation of a conceptual approach to the assessment of economic losses as an important scientific task, the implementation of which is carried out using an economic-mathematical model, is substantiated. The proposed solution will make it possible to unify methodological approaches to the assessment of damage from the manifestation of deviations in science. Conclusions. The problems are defined, the detection and identification of which is necessary for the development of recommendations aimed at counteracting the manifestation of deviations in science. The scaling of the proposed approach to the assessment of economic losses that are inflicted on society when the principles of intellectual honesty are violated in the process of conducting scientific research will ensure the strengthening of the positions of social, ethical and economic justice, will increase the level of trust in science. Keywords: ethics; ambivalence; deviant behaviour; implicit zone; economic-mathematical model