{"title":"知识转移对创新能力的影响:吸收能力与网络依赖的中介模型","authors":"Lubang Wang , Shouwei Li , Zongjun You","doi":"10.1016/j.hitech.2020.100372","DOIUrl":null,"url":null,"abstract":"<div><p>Knowledge transfer is one of the most important aspects of improving the enterprise's innovation capability. This study investigates the internal mechanism through which knowledge transfer affects innovation capability. To reveal this internal mechanism, we propose a moderated mediation model of absorptive capability and network reliance. Using survey data from 218 managers in China, structural equation modeling is used to investigate mediation and moderation effects. The results show that absorptive capability positively mediates the relationship between knowledge transfer and innovation capability. Moreover, network reliance positively moderates not only the relationship between absorptive capability and innovation capability but also the overall mediation model. This demonstrates that individuals with high network reliance have higher innovation capability when they have accumulated enough business knowledge. Based on these findings, we conclude that innovation capability may be promoted more effectively through the complex process of knowledge transfer, absorptive capability, and network reliance.</p></div>","PeriodicalId":38944,"journal":{"name":"Journal of High Technology Management Research","volume":"31 1","pages":"Article 100372"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.hitech.2020.100372","citationCount":"13","resultStr":"{\"title\":\"The effects of knowledge transfer on innovation capability: A moderated mediation model of absorptive capability and network reliance\",\"authors\":\"Lubang Wang , Shouwei Li , Zongjun You\",\"doi\":\"10.1016/j.hitech.2020.100372\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Knowledge transfer is one of the most important aspects of improving the enterprise's innovation capability. This study investigates the internal mechanism through which knowledge transfer affects innovation capability. To reveal this internal mechanism, we propose a moderated mediation model of absorptive capability and network reliance. Using survey data from 218 managers in China, structural equation modeling is used to investigate mediation and moderation effects. The results show that absorptive capability positively mediates the relationship between knowledge transfer and innovation capability. Moreover, network reliance positively moderates not only the relationship between absorptive capability and innovation capability but also the overall mediation model. This demonstrates that individuals with high network reliance have higher innovation capability when they have accumulated enough business knowledge. Based on these findings, we conclude that innovation capability may be promoted more effectively through the complex process of knowledge transfer, absorptive capability, and network reliance.</p></div>\",\"PeriodicalId\":38944,\"journal\":{\"name\":\"Journal of High Technology Management Research\",\"volume\":\"31 1\",\"pages\":\"Article 100372\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.hitech.2020.100372\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of High Technology Management Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1047831020300031\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Business, Management and Accounting\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of High Technology Management Research","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1047831020300031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Business, Management and Accounting","Score":null,"Total":0}
The effects of knowledge transfer on innovation capability: A moderated mediation model of absorptive capability and network reliance
Knowledge transfer is one of the most important aspects of improving the enterprise's innovation capability. This study investigates the internal mechanism through which knowledge transfer affects innovation capability. To reveal this internal mechanism, we propose a moderated mediation model of absorptive capability and network reliance. Using survey data from 218 managers in China, structural equation modeling is used to investigate mediation and moderation effects. The results show that absorptive capability positively mediates the relationship between knowledge transfer and innovation capability. Moreover, network reliance positively moderates not only the relationship between absorptive capability and innovation capability but also the overall mediation model. This demonstrates that individuals with high network reliance have higher innovation capability when they have accumulated enough business knowledge. Based on these findings, we conclude that innovation capability may be promoted more effectively through the complex process of knowledge transfer, absorptive capability, and network reliance.
期刊介绍:
The Journal of High Technology Management Research promotes interdisciplinary research regarding the special problems and opportunities related to the management of emerging technologies. It advances the theoretical base of knowledge available to both academicians and practitioners in studying the management of technological products, services, and companies. The Journal is intended as an outlet for individuals conducting research on high technology management at both a micro and macro level of analysis.