双灵巧性
建议(编程)
意外事故
心理学
价值(数学)
权变理论
独创性
业务
集合(抽象数据类型)
社会心理学
知识管理
计算机科学
语言学
哲学
机器学习
创造力
程序设计语言
作者
Wang Daojin,Hongjiang Lv,Zhou Yingtang
出处
期刊:Chinese Management Studies
[Emerald (MCB UP)]
日期:2021-02-08
卷期号:15 (2): 413-427
被引量:1
标识
DOI:10.1108/cms-06-2020-0246
摘要
Purpose The purpose of this paper is to elucidate how the advice-giving affects innovative capability by involving knowledge exchange and combination as a mediator and contextual ambidexterity as an important contingency. Design/methodology/approach Based on a survey of 96 Chinese teams, a set of hypotheses was tested using regression analyzes. Findings The findings showed that contextual ambidexterity moderates the indirect effect of advice-giving on innovative capability through knowledge exchange and combination. When contextual ambidexterity is high, workers engage in more knowledge exchange and combination for the team at intermediate levels of advice-giving, the indirect effect of advice-giving at low levels and at high levels exist. When contextual ambidexterity is low, there is no indirect effect of advice-giving at any level. Practical implications Managers should be aware of the inverted U-shaped relationship between advice-giving and innovative capability and strengthen the construction of contextual ambidexterity. Originality/value This paper makes up for the theoretical gap between advice-giving and innovative capability. Furthermore, it provides a theoretical reference for practitioners to improve their innovative capability.
科研通智能强力驱动
Strongly Powered by AbleSci AI