Investigating Determinants of Industry–University Collaboration in an Open Innovation Context: Comparative Evidence from an Exploratory Study

IF 1.7 4区 管理学 Q3 MANAGEMENT
C. Băban, M. Baban, A. Rangone
{"title":"Investigating Determinants of Industry–University Collaboration in an Open Innovation Context: Comparative Evidence from an Exploratory Study","authors":"C. Băban, M. Baban, A. Rangone","doi":"10.1177/09717218211020475","DOIUrl":null,"url":null,"abstract":"In an open innovation (OI) paradigm, universities are considered as important sources of external scientific knowledge for industry, and comparative study of such collaboration can result in more effective and efficient employment of OI. Within this framework, this study explores how the determinants of collaboration between industry and universities in an open context of innovation are addressed by firms within industrial areas. For this purpose, a conceptual framework of industry–university determinants in an open context of innovation is developed from the related literature. Taking into consideration the determinants integrated into the framework, this study compares motives, barriers, channels of knowledge transfer, benefits and drawbacks of such collaboration in two Italian and Romanian industrial areas. Comparative differences in each OI determinant between the firms from the two Italian and Romanian industrial areas are analysed. The associations among the study determinants are also investigated based on correlation matrices among the five determinants in both Italian and Romanian firms. An artificial intelligence approach based on fuzzy logic was developed to predict the impact of the study determinants on the perception of universities as a source for OI activities of firms.","PeriodicalId":45432,"journal":{"name":"Science Technology and Society","volume":null,"pages":null},"PeriodicalIF":1.7000,"publicationDate":"2021-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science Technology and Society","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1177/09717218211020475","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 6

Abstract

In an open innovation (OI) paradigm, universities are considered as important sources of external scientific knowledge for industry, and comparative study of such collaboration can result in more effective and efficient employment of OI. Within this framework, this study explores how the determinants of collaboration between industry and universities in an open context of innovation are addressed by firms within industrial areas. For this purpose, a conceptual framework of industry–university determinants in an open context of innovation is developed from the related literature. Taking into consideration the determinants integrated into the framework, this study compares motives, barriers, channels of knowledge transfer, benefits and drawbacks of such collaboration in two Italian and Romanian industrial areas. Comparative differences in each OI determinant between the firms from the two Italian and Romanian industrial areas are analysed. The associations among the study determinants are also investigated based on correlation matrices among the five determinants in both Italian and Romanian firms. An artificial intelligence approach based on fuzzy logic was developed to predict the impact of the study determinants on the perception of universities as a source for OI activities of firms.
开放式创新环境下产学研合作的决定因素:一项探索性研究的比较证据
在开放式创新(open innovation, OI)范式中,大学被认为是行业外部科学知识的重要来源,对这种合作的比较研究可以导致更有效和高效地利用开放式创新。在此框架内,本研究探讨了工业领域内的企业如何在开放的创新背景下解决工业和大学之间合作的决定因素。为此,本文从相关文献中提出了开放式创新背景下产学研决定因素的概念框架。考虑到整合到框架中的决定因素,本研究比较了意大利和罗马尼亚两个工业区这种合作的动机、障碍、知识转移渠道、利益和缺点。分析了来自意大利和罗马尼亚两个工业区的公司之间每个OI决定因素的比较差异。研究决定因素之间的关联也根据意大利和罗马尼亚公司的五个决定因素之间的相关矩阵进行了调查。开发了一种基于模糊逻辑的人工智能方法来预测研究决定因素对大学作为企业OI活动来源的感知的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
3.80
自引率
4.80%
发文量
39
期刊介绍: Science, Technology and Society is an international journal devoted to the study of science and technology in social context. It focuses on the way in which advances in science and technology influence society and vice versa. It is a peer-reviewed journal that takes an interdisciplinary perspective, encouraging analyses whose approaches are drawn from a variety of disciplines such as history, sociology, philosophy, economics, political science and international relations, science policy involving innovation, foresight studies involving science and technology, technology management, environmental studies, energy studies and gender studies. The journal consciously endeavors to combine scholarly perspectives relevant to academic research and policy issues relating to development. Besides research articles the journal encourages research-based country reports, commentaries and book reviews.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信