{"title":"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","authors":"Chih-Hung Chen","doi":"10.1177/23294884241264788","DOIUrl":null,"url":null,"abstract":"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","PeriodicalId":510353,"journal":{"name":"International Journal of Business Communication","volume":"24 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Role of Supervisory Communication Frequency in Moderating the Impact of Innovation Knowledge Management on Innovation Performance\",\"authors\":\"Chih-Hung Chen\",\"doi\":\"10.1177/23294884241264788\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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\",\"PeriodicalId\":510353,\"journal\":{\"name\":\"International Journal of Business Communication\",\"volume\":\"24 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Business Communication\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/23294884241264788\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Business Communication","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/23294884241264788","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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