Intellectual potential assessing methodology of an innovation-oriented enterprise

Purpose. Development and deepening of scientific and methodological foundations, elaboration of practical recommendations in the context of assessing innovation-oriented enterprise employees’ intellectual potential level. Methodology. The results of scientific research were obtained using general and special methods: inductive logic, deduction, dialectical cognition; economic-statistical and sociological methods; analysis and synthesis; non-parametric modeling; expert-point evaluation; multidimensional scaling. Findings. We formed a theoretical and methodological platform for evaluating the intellectual potential of innovation-oriented enterprise employees. The fundamental principles of the technology for assessing this potential, which are based on the modern management paradigm, were highlighted. The analysis and evaluation of the intellectual potential of innovation-oriented enterprise employees was carried out on the basis of an expert method using mathematical and statistical tools to ensure the consistency of expert assessments, in particular the Kendall concordance coefficient and the Pearson consistency criterion. Originality. Our study developed scientific and methodological approach to assessing the level of innovation-oriented enterprise’s employees’ intellectual potential. The main difference between the methodologies was a multi-level assessment: at the professional level – expert assessment of professional qualification potential level significance, taking into account the consistency of expert opinions; at the creative level – expert assessment of creative potential level indicators significance, taking into account the consistency of expert opinions. As a result, taking into account the expert approach, an integral (taxonomic) index was calculated. In general, this makes it possible to increase the effectiveness of innovation-oriented management enterprises’ intellectual potential. Practical value. The implementation of the proposed methodology makes it possible to solve the managerial problems of identifying potential abilities and opportunities (reserves) of employees, forming study groups, developing training programs, motivating employees to professional and intellectual achievements and demonstrating innovative activity

Authors

Publication Details

Journal
Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu
Published
2024-08-29
DOI
https://doi.org/10.33271/nvngu/2024-4/141
Citations
2
Primary Topic
Economic Development and Digital Transformation
Type
article
Field-Weighted Citation Impact
1.66
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Intellectual potential assessing methodology of an innovation-oriented enterprise

Iryna Yasinetska, Lesya Tarayevska, Olha Pietukhova, Borys Shelestovskyi et al.
2 citations
Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu
Economic Development and Digital Transformation
1.66
article

Intellectual potential assessing methodology of an innovation-oriented enterprise

Iryna Yasinetska, Lesya Tarayevska, Olha Pietukhova, Borys Shelestovskyi, Halyna Ostrovska
article en
2 citations

Abstract

Purpose. Development and deepening of scientific and methodological foundations, elaboration of practical recommendations in the context of assessing innovation-oriented enterprise employees’ intellectual potential level. Methodology. The results of scientific research were obtained using general and special methods: inductive logic, deduction, dialectical cognition; economic-statistical and sociological methods; analysis and synthesis; non-parametric modeling; expert-point evaluation; multidimensional scaling. Findings. We formed a theoretical and methodological platform for evaluating the intellectual potential of innovation-oriented enterprise employees. The fundamental principles of the technology for assessing this potential, which are based on the modern management paradigm, were highlighted. The analysis and evaluation of the intellectual potential of innovation-oriented enterprise employees was carried out on the basis of an expert method using mathematical and statistical tools to ensure the consistency of expert assessments, in particular the Kendall concordance coefficient and the Pearson consistency criterion. Originality. Our study developed scientific and methodological approach to assessing the level of innovation-oriented enterprise’s employees’ intellectual potential. The main difference between the methodologies was a multi-level assessment: at the professional level – expert assessment of professional qualification potential level significance, taking into account the consistency of expert opinions; at the creative level – expert assessment of creative potential level indicators significance, taking into account the consistency of expert opinions. As a result, taking into account the expert approach, an integral (taxonomic) index was calculated. In general, this makes it possible to increase the effectiveness of innovation-oriented management enterprises’ intellectual potential. Practical value. The implementation of the proposed methodology makes it possible to solve the managerial problems of identifying potential abilities and opportunities (reserves) of employees, forming study groups, developing training programs, motivating employees to professional and intellectual achievements and demonstrating innovative activity

Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu(4)
Industry, innovation and infrastructure
Openalex Percentile: Top 14%
Economic Development and Digital Transformation
1.66
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.