吸收能力
透视图(图形)
多样性(政治)
业务
质量(理念)
产业组织
计算机科学
社会学
物理
人类学
量子力学
人工智能
作者
Tianyu Hou,Wei Wang,Jin Chen,Haijie Wang
标识
DOI:10.1504/ijtm.2025.144792
摘要
Although many studies have investigated how the diversity of R&D human capital influences innovation performance, the impact of the diversity of functional areas in R&D centres remains poorly understood. Drawing on the absorptive capacity framework, this study examines how R&D area diversity influences innovation quality. As R&D activities are embedded in organisational social networks and knowledge networks, we further investigate how social cohesion, knowledge cohesion, and social-knowledge cohesion moderate the effect of R&D area diversity on innovation quality. We argue that R&D area diversity improves intra-organisational cross-function absorptive capacity, which enhances innovation quality. The positive effect of R&D area diversity increases when social cohesion and knowledge cohesion are high, and the coupling of social-knowledge cohesion is low. An analysis of a large longitudinal dataset of 3,061 firm-year observations covering 486 global pharmaceutical firms provides strong support for our hypotheses. We end with a discussion of the theoretical and practical implications.
科研通智能强力驱动
Strongly Powered by AbleSci AI