向心力
背景(考古学)
独创性
自治
知识管理
离心力
业务
管理
产业组织
社会学
计算机科学
经济
政治学
工程类
机械工程
定性研究
机械
社会科学
古生物学
物理
转速
法学
生物
作者
Jun Yu,Qian Wen,Xu Qin
出处
期刊:European Journal of Innovation Management
[Emerald (MCB UP)]
日期:2023-01-17
卷期号:27 (5): 1743-1766
被引量:7
标识
DOI:10.1108/ejim-06-2022-0292
摘要
Purpose The purpose of this study is to empirically explore how firms configure centrifugal and centripetal forces in promoting breakthrough innovation (BI), thus improving their strategic performance (SP) in the artificial intelligence (AI) context. Design/methodology/approach This study applies the centrifugal and centripetal forces model to a survey sample of 285 Chinese AI firms. Fuzzy-set qualitative comparative analysis (fsQCA) and propensity score matching (PSM) are integrated to explore the configurational effects of three centrifugal forces—the autonomy of technical experts, knowledge search and alliance network—and two centripetal forces—strictness of organisational institutions (SOI) and human–human–AI collaboration (HHAC)—on BI, examining whether the configurations that enhance BI can further improve SP. Findings The results indicate that the strictness of innovation institutions (SII) and strictness of ethical institutions (SEI) are equally important for determining SOI. Three configurations can improve BI when SOI and HHAC are the core conditions; only one of three configurations can further improve SP significantly. Originality/value By introducing SOI composed of equally important levels of SII and SEI and HHAC, this research is one of the few empirical studies to explore the mechanisms behind the impact of centrifugal and centripetal forces on BI and SP, which may help researchers and managers address innovation challenges in the AI context.
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