主管沟通频率在调节创新知识管理对创新绩效影响中的作用

Chih-Hung Chen
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引用次数: 0

摘要

创新绩效(IP)是衡量一家公司将创新努力转化为实际成果的效率,包括新产品、流程、服务和对现有产品的改进。本研究探讨了创新绩效、创新知识管理(IKM)(包括创新文化(IC)和知识管理(KM))以及主管沟通频率(SCF)之间的关系。SCF 是指主管与下属之间沟通的频率和质量,它影响着创新知识管理对知识产权的影响。研究采用结构化问卷,从台湾证券交易所(TWSE)的上市公司中收集了 320 份有效问卷。数据分析采用了结构方程模型(SEM)和过程宏观模型 1,并根据 Hair 等人和 Fornell 与 Larcker 的标准对信度和效度进行了评估。由于构建相关性低于平均方差提取(AVE)的平方根,因此判别效度得到了证实。路径分析显示,不同 SCF 频率组的 IP 分数存在显著差异(F (4, 315) = 12.47,P < .001),其中三个月交互显示出最高的平均 IP 分数(M = 3.6905,SD = 0.9375)。这些发现强调了主管与员工之间定期互动的重要性,以及健全的知识管理和集成电路实践对取得最佳创新成果的重要性。JEL 代码O32 - 技术创新和研发管理;M15 - IT 管理;L25 - 企业绩效:O31 - 创新与发明:过程与激励
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Role of Supervisory Communication Frequency in Moderating the Impact of Innovation Knowledge Management on Innovation Performance
Innovation Performance (IP) serves as a measure of a company’s effectiveness in translating innovative endeavors into tangible outcomes, encompassing new products, processes, services, and enhancements to existing offerings. This study investigates the relationship between IP, Innovation Knowledge Management (IKM), which includes Innovation Culture (IC) and Knowledge Management (KM), and Supervisory Communication Frequency (SCF). SCF refers to the frequency and quality of communication between supervisors and subordinates, influencing the impact of IKM on IP. Using a structured questionnaire, 320 valid responses were collected from companies listed on the Taiwan Stock Exchange (TWSE). Data analysis employed Structural Equation Modeling (SEM) and Process Macro Model 1, with reliability and validity assessed based on criteria from Hair et al. and Fornell and Larcker. Discriminant validity was confirmed with construct correlations lower than the square root of the average variance extracted (AVE). Path analysis revealed significant differences in IP scores across SCF frequency groups (F (4, 315) = 12.47, p < .001), with three monthly interactions showing the highest mean IP score (M = 3.6905, SD = 0.9375). These findings highlight the importance of regular supervisor-employee interactions alongside robust KM and IC practices for optimal innovation outcomes. JEL Code: O32 - Management of Technological Innovation and R&D; M15 - IT Management; L25 - Firm Performance: Size, Diversification, and Scope; O31 - Innovation and Invention: Processes and Incentives
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