HRMARS - This study employs bibliometric methods to examine the intellectual landscape of post-COVID firm innovation research from 2020 to 2026. Based on 4,264 documents published in 624 sources, the study integrates analysis with science-mapping techniques, including Bradford’s Law, keyword co-occurrence networks, thematic mapping, trend-topic analysis, and so on. The analysis is organized around three questions: the characterization of the database and its main publication sources; the current thematic configuration and conceptual structure of the field; and the patterns of thematic evolution that inform prospective research directions. In order to provide a clear understanding of topic clusters and their relationships, the study uses a systematic procedure for collecting data and keyword integration. The study offers a systematic review of how Post-COVID innovation research has been structured across fields and how its topic attention has changed over time by combining network-based clustering with centrality–density positions and dynamic topic movements. The findings are intended to support conceptual boundaries and agenda framing for further empirical research.
Building similarity graph...
Analyzing shared references across papers
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Jiang Zongyu
Rohaida Basiruddin
International Journal of Academic Research in Accounting Finance and Management Sciences
Building similarity graph...
Analyzing shared references across papers
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Zongyu et al. (Mon,) studied this question.
synapsesocial.com/papers/69ba429c4e9516ffd37a3049 — DOI: https://doi.org/10.6007/ijarafms/v16-i1/27746