Open AccessDevising an individually oriented method for selection of scientific activity subjects for implementing scientific projects based on scientometric analysis
Author(s) -
Huilin Xu,
Alexander Kuchansky,
Myroslava Gladka
Publication year - 2021
Publication title -
eastern-european journal of enterprise technologies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.268
H-Index - 24
eISSN - 1729-4061
pISSN - 1729-3774
DOI - 10.15587/1729-4061.2021.248040
Subject(s) - productivity , scientific literature , selection (genetic algorithm) , computer science , scientific modelling , scientific method , subject (documents) , knowledge management , management science , operations research , engineering , artificial intelligence , economics , world wide web , paleontology , philosophy , macroeconomics , epistemology , biology
The main factors influencing the choice of individual subjects of the scientific activity or potential partners and executors for scientific and educational projects were analyzed. The specific features of choosing project executors of different categories were indicated. The functional responsibilities of project participants in accordance with the project structure were described.The individually oriented method for choosing subjects of scientific activity as executors of scientific and educational projects was developed, taking into account the productivity of their scientific activities in the past and considering the structure of projects. To determine the merits of the subjects of scientific activity, which are included in the relevant scientific subject spaces, it is necessary to apply the procedure of their productivity assessment. In addition, it is necessary to predict a change in productivity in the future based on retrospective data for this subject. Next, it is required to solve the multi-criteria problem of the choice among the subjects of scientific activity who are quite productive in the opinion of the project manager. The use of the developed method reduces the subjective impact on making a decision regarding the choice of project executors. This is due to the fact that they are chosen by automated calculation of scientometric indicators of subjects, guided only by open sources of information.The individually oriented method for the selection of subjects of scientific activity was verified on the example of the formation of three applications of research projects. As a result, the average percentage of scientists who meet the requirements of project managers for each scientific subject space was about 46.55 %. The percentage of those involved in the project from those who were selected is about 24.07 %. The probability of cooperation is higher among those who have an average H-index.