Unpacking the essential tension of knowledge recombination: Analyzing the impact of knowledge spanning on citation impact and disruptive innovation

被引：2

作者：

Wang, Cheng-Jun ^{[1
,2
]}

Yan, Lihan ^{[1
,2
]}

Cui, Haochuan ^{[3
]}

机构：

[1] Nanjing Univ, Lab Data Intelligence & Interdisciplinary Innovat, Nanjing 210023, Peoples R China

[2] Nanjing Univ, Sch Journalism & Commun, Nanjing 210023, Jiangsu, Peoples R China

[3] Univ Pittsburgh, Sch Comp & Informat, Pittsburgh, PA 15260 USA

来源：

JOURNAL OF INFORMETRICS | 2023年 / 17卷 / 04期

关键词：

Knowledge Recombination; Category spanning; Disruption; Citation; Team size; COLLABORATION; COMBINATIONS; MEMBERSHIPS;

D O I：

10.1016/j.joi.2023.101451

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Drawing on the theories of knowledge recombination, we aim to unpack the essential tension between tradition and innovation in scientific research. Using the American Physical Society data and computational methods, we analyze the relationship between knowledge spanning, citation impact, and disruptive innovation. The findings show that there exists a U-shaped relationship between knowledge spanning and disruptive innovation. In contrast, there is an inverted Ushaped relationship between knowledge spanning and citation impact, and the inverted U-shaped effect is moderated by team size. This study contributes to the theories of knowledge recombination by suggesting that either intellectual conformism or knowledge recombination can lead to disruptive innovation. That is, when evaluating the quality of scientific research with disruptive innovation, the essential tension seems to disappear.

引用

页数：13

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