Knowledge Management in the Era of Platform Economies: Bibliometric Insights and Prospects Across Technological Paradigms

Abstract This study conducts a bibliometric analysis of literature on digital platform knowledge management from 2004 to 2024. Using predefined keywords, 1,787 publications were retrieved from the Web of Science Core Collection. Bibliometric tools, including R-Bibliometrix, BibExcel, and CiteSpace, were used to analyze publication trends, leading contributors, and thematic evolution. Visualization was supported by Gephi, VOSviewer, and OriginPro. Based on keyword co-occurrence clustering, temporal sequence-based associative clustering, and the “technology–economy” co-evolution paradigm, several key findings emerged. The field shows continuous growth, characterized by multidisciplinary integration and strong links to national digital economy strategies. Ten major research themes were identified, such as smart factories, virtual collaboration, and knowledge gaps. The temporal evolution reveals three main trajectories: reconstruction of core elements, development of new platform infrastructures, and expansion of practical applications. Using Perez’s “technology–economy” paradigm, the study highlights potential research gaps in the current digital technology–economy synergy and proposes future directions under the “biotechnology–economy” and “physical technology–economy” paradigms. These findings enhance understanding of the field’s development and offer theoretical and methodological references for future research.

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Publication Details

Journal
Economics
Published
2025-01-01
DOI
https://doi.org/10.1515/econ-2025-0165
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
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Knowledge Management in the Era of Platform Economies: Bibliometric Insights and Prospects Across Technological Paradigms

Shuang Kan, Han Cao, Shuyi Liu, Peili Yu
Economics
Big Data and Business Intelligence
article

Knowledge Management in the Era of Platform Economies: Bibliometric Insights and Prospects Across Technological Paradigms

Shuang Kan, Han Cao, Shuyi Liu, Peili Yu
article en

Abstract

Abstract This study conducts a bibliometric analysis of literature on digital platform knowledge management from 2004 to 2024. Using predefined keywords, 1,787 publications were retrieved from the Web of Science Core Collection. Bibliometric tools, including R-Bibliometrix, BibExcel, and CiteSpace, were used to analyze publication trends, leading contributors, and thematic evolution. Visualization was supported by Gephi, VOSviewer, and OriginPro. Based on keyword co-occurrence clustering, temporal sequence-based associative clustering, and the “technology–economy” co-evolution paradigm, several key findings emerged. The field shows continuous growth, characterized by multidisciplinary integration and strong links to national digital economy strategies. Ten major research themes were identified, such as smart factories, virtual collaboration, and knowledge gaps. The temporal evolution reveals three main trajectories: reconstruction of core elements, development of new platform infrastructures, and expansion of practical applications. Using Perez’s “technology–economy” paradigm, the study highlights potential research gaps in the current digital technology–economy synergy and proposes future directions under the “biotechnology–economy” and “physical technology–economy” paradigms. These findings enhance understanding of the field’s development and offer theoretical and methodological references for future research.

EconomicsVol. 19(1)
Northeastern University (CN)
Openalex Percentile: Top 55%
Big Data and Business Intelligence
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