{"title":"The innovator's balance between academic social capital and disruptive innovation","authors":"Xingpeng Liu, Jianlin Zhou, An Zeng, Xiaohua Cui","doi":"10.1016/j.ipm.2025.104382","DOIUrl":null,"url":null,"abstract":"<div><div>Disruptive innovation, which plays an essential role in advancing scientific research by expanding the frontiers of human knowledge, has experienced a sustained decline, yet consensus on its causes remains elusive. Drawing on co-authorship networks derived from 647,218 publications by 307,460 researchers in the American Physical Society (APS) dataset (1893–2020), our social capital-based approach reveals an increasing dependence of scientific research on social capital and its progressive concentration within scientific elites. The encouraging finding is the observed decrease in the assortativity of the collaboration networks, suggesting the improving access to academic social resources for newcomers. However, the disruptiveness of collaborations between new and established researchers falls short of expectations. The superior performance of newcomer researchers in disruptive innovation compared to their senior counterparts, coupled with the inherent trade-off between innovativeness and peer acknowledgment, highlights a fundamental dilemma for young researchers: they must strive to balance leveraging academic social resources and maintaining disruptive innovation. And their adherence to authoritative collaborators might be one of the key determinants in the decline of disruptive innovation.</div></div>","PeriodicalId":50365,"journal":{"name":"Information Processing & Management","volume":"63 2","pages":"Article 104382"},"PeriodicalIF":6.9000,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Processing & Management","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0306457325003231","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Disruptive innovation, which plays an essential role in advancing scientific research by expanding the frontiers of human knowledge, has experienced a sustained decline, yet consensus on its causes remains elusive. Drawing on co-authorship networks derived from 647,218 publications by 307,460 researchers in the American Physical Society (APS) dataset (1893–2020), our social capital-based approach reveals an increasing dependence of scientific research on social capital and its progressive concentration within scientific elites. The encouraging finding is the observed decrease in the assortativity of the collaboration networks, suggesting the improving access to academic social resources for newcomers. However, the disruptiveness of collaborations between new and established researchers falls short of expectations. The superior performance of newcomer researchers in disruptive innovation compared to their senior counterparts, coupled with the inherent trade-off between innovativeness and peer acknowledgment, highlights a fundamental dilemma for young researchers: they must strive to balance leveraging academic social resources and maintaining disruptive innovation. And their adherence to authoritative collaborators might be one of the key determinants in the decline of disruptive innovation.
期刊介绍:
Information Processing and Management is dedicated to publishing cutting-edge original research at the convergence of computing and information science. Our scope encompasses theory, methods, and applications across various domains, including advertising, business, health, information science, information technology marketing, and social computing.
We aim to cater to the interests of both primary researchers and practitioners by offering an effective platform for the timely dissemination of advanced and topical issues in this interdisciplinary field. The journal places particular emphasis on original research articles, research survey articles, research method articles, and articles addressing critical applications of research. Join us in advancing knowledge and innovation at the intersection of computing and information science.