Literaturnachweis - Detailanzeige
| Autor/inn/en | Li, Jiexun; Chen, Jiyao |
|---|---|
| Titel | Measuring destabilization and consolidation in scientific knowledge evolution. |
| Quelle | In: Scientometrics, (2022) 10, S.5819-5839
PDF als Volltext |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 0138-9130 |
| DOI | 10.1007/s11192-022-04479-3 |
| Schlagwörter | Knowledge management; Destabilization index; Consolidation index; Directions of knowledge impact; Network approach; Knowledge evolution |
| Abstract | Abstract The dynamic process of knowledge evolution can be divided into two routes: (1) new knowledge is cumulatively built upon past scientific achievements, and (2) the new replaces the old in a non-cumulative fashion. While existing measures such as citation counts are central to assessing the impact of articles and the viability of research streams, they do not quantify the two routes of knowledge evolution. In this research we develop two indexes, destabilization (D) and consolidation (C), that measure the effects that an article may have on the subsequent use of its predecessors—whether it consolidates or destabilizes the existing literature in terms of the influences on its predecessors’ future usage. Using a dataset of 45,616 papers from 24 premium business journals, this study shows that the D and C indexes are complementary to the citation count to measure the impact of a scientific article and capture the two directions of knowledge evolution. |
| Erfasst von | OLC |
| Update | 2023/2/05 |
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