Science and Innovation Management: Sustainable Development Goals 8 and 9 as Challenges for Poland
Artykuł w czasopiśmie
MNiSW
100
Lista 2024
| Status: | |
| Autorzy: | Okulich-Kazarin Valery, Artyukhov Artem, Skowron Łukasz, Wołowiec Tomasz, Bokhonkova Yuliia |
| Dyscypliny: | |
| Aby zobaczyć szczegóły należy się zalogować. | |
| Rok wydania: | 2024 |
| Wersja dokumentu: | Drukowana | Elektroniczna |
| Język: | angielski |
| Numer czasopisma: | 22 |
| Wolumen/Tom: | 16 |
| Numer artykułu: | 9668 |
| Strony: | 1 - 24 |
| Impact Factor: | 3,3 |
| Scopus® Cytowania: | 0 |
| Bazy: | Scopus |
| Efekt badań statutowych | NIE |
| Finansowanie: | This research was funded by the EU NextGenerationEU through the Recovery and Re- silience Plan for Slovakia under project No. 09I03-03-V01-00130. |
| Materiał konferencyjny: | NIE |
| Publikacja OA: | TAK |
| Licencja: | |
| Sposób udostępnienia: | Witryna wydawcy |
| Wersja tekstu: | Ostateczna wersja opublikowana |
| Czas opublikowania: | W momencie opublikowania |
| Data opublikowania w OA: | 6 listopada 2024 |
| Abstrakty: | angielski |
| This manuscript continues the series of research publications on Sustainable Development Goals 8 and 9 (SDGs 8 and 9). Innovations play an essential role in the global and national economies, as they contribute to the growth of economic productivity, the creation of new products, services, and jobs, and improve the quality of life. In the context of innovation, economy and artificial intelligence (AI) are the ideological and technological components of the innovation process. The authors hypothesized that the Polish system for assessing the importance of scientific economic journals is ineffective for social development and for creating an innovation-based economy. The research methods are a scientometric analysis of 795,070 scientific sources by the keywords “Economy” and “Artificial Intelligence”, a bibliometric analysis of 219,739 sources by the keywords “Economy”, “Economic productivity”, and “Innovation”, correlation analysis, and testing statistical hypotheses. The study led to the adoption of an alternative statistical hypothesis, which is a strong confirmation of the basic hypothesis. A new model for assessing the weight of scientific journals was created based on the existing system. Two management recommendations were formulated in the rules for determining the weight of journals. The high R2 value indicates that the new model effectively predicts the result. The correlation coefficient of the weight of journals in the new model is more than 98%. When verifying statistical hypotheses, a high significance level of 99.0 was used. The study’s practical significance is in the movement of Polish science to a leading place in the world market of scientific products. |
