{"title":"高校技术转移对制造企业创新绩效的影响","authors":"Isaac Muiruri Gachanja","doi":"10.1016/j.ijis.2022.12.003","DOIUrl":null,"url":null,"abstract":"<div><p>Technology transfer (TT) from universities to manufacturing firms is important for enhancing innovation performance (IP) and ultimately improving competitiveness. However, TT is hampered by bureaucracy, inertia, inefficiency, cognitive dissonance, and low research and development activity. The purpose of this study is to examine the relationship between TT from universities to manufacturing firms and their IP. This study was conducted based on Megnigbeto's (2018) triple helix game theory. A mixed-method approach was used. The independent variable was TT, measured in terms of technology spillover, networking, and the presence of accelerators and incubators within a firm's locality. The dependent variable was IP, measured through innovation output and innovation efficiency. This study used an explanatory sequential research design. The target population was manufacturing firms in Kenya, identified using a multi-stage sampling strategy. Primary data were collected using semi-structured questionnaires, interview schedules, and checklists. Linear regressions, hierarchical multiple moderated regressions, structural equation modeling, and partial least squares were used to test the hypotheses. The results indicate that TT from universities significantly influences IP in manufacturing firms. Universities are important intermediaries of TT in manufacturing firms in Kenya because of their improved IP and competitiveness. Universities should create dynamic linkages with industries and adopt an engaged learning approach in their programs to create greater and more unique values for enhanced competitiveness and sustainable development.</p></div>","PeriodicalId":36449,"journal":{"name":"International Journal of Innovation Studies","volume":"7 2","pages":"Pages 115-126"},"PeriodicalIF":4.2000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Influence of technology transfer from universities on manufacturing firms’ innovative performance\",\"authors\":\"Isaac Muiruri Gachanja\",\"doi\":\"10.1016/j.ijis.2022.12.003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Technology transfer (TT) from universities to manufacturing firms is important for enhancing innovation performance (IP) and ultimately improving competitiveness. However, TT is hampered by bureaucracy, inertia, inefficiency, cognitive dissonance, and low research and development activity. The purpose of this study is to examine the relationship between TT from universities to manufacturing firms and their IP. This study was conducted based on Megnigbeto's (2018) triple helix game theory. A mixed-method approach was used. The independent variable was TT, measured in terms of technology spillover, networking, and the presence of accelerators and incubators within a firm's locality. The dependent variable was IP, measured through innovation output and innovation efficiency. This study used an explanatory sequential research design. The target population was manufacturing firms in Kenya, identified using a multi-stage sampling strategy. Primary data were collected using semi-structured questionnaires, interview schedules, and checklists. Linear regressions, hierarchical multiple moderated regressions, structural equation modeling, and partial least squares were used to test the hypotheses. The results indicate that TT from universities significantly influences IP in manufacturing firms. Universities are important intermediaries of TT in manufacturing firms in Kenya because of their improved IP and competitiveness. Universities should create dynamic linkages with industries and adopt an engaged learning approach in their programs to create greater and more unique values for enhanced competitiveness and sustainable development.</p></div>\",\"PeriodicalId\":36449,\"journal\":{\"name\":\"International Journal of Innovation Studies\",\"volume\":\"7 2\",\"pages\":\"Pages 115-126\"},\"PeriodicalIF\":4.2000,\"publicationDate\":\"2023-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Innovation Studies\",\"FirstCategoryId\":\"95\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2096248722000595\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Innovation Studies","FirstCategoryId":"95","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2096248722000595","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MANAGEMENT","Score":null,"Total":0}
Influence of technology transfer from universities on manufacturing firms’ innovative performance
Technology transfer (TT) from universities to manufacturing firms is important for enhancing innovation performance (IP) and ultimately improving competitiveness. However, TT is hampered by bureaucracy, inertia, inefficiency, cognitive dissonance, and low research and development activity. The purpose of this study is to examine the relationship between TT from universities to manufacturing firms and their IP. This study was conducted based on Megnigbeto's (2018) triple helix game theory. A mixed-method approach was used. The independent variable was TT, measured in terms of technology spillover, networking, and the presence of accelerators and incubators within a firm's locality. The dependent variable was IP, measured through innovation output and innovation efficiency. This study used an explanatory sequential research design. The target population was manufacturing firms in Kenya, identified using a multi-stage sampling strategy. Primary data were collected using semi-structured questionnaires, interview schedules, and checklists. Linear regressions, hierarchical multiple moderated regressions, structural equation modeling, and partial least squares were used to test the hypotheses. The results indicate that TT from universities significantly influences IP in manufacturing firms. Universities are important intermediaries of TT in manufacturing firms in Kenya because of their improved IP and competitiveness. Universities should create dynamic linkages with industries and adopt an engaged learning approach in their programs to create greater and more unique values for enhanced competitiveness and sustainable development.