Knowledge spillovers between R&D-driven incumbents and start-ups in open innovation: a systematic review and nomological network

IF 6.6 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE
Sonika Jha, Sriparna Basu
{"title":"Knowledge spillovers between R&D-driven incumbents and start-ups in open innovation: a systematic review and nomological network","authors":"Sonika Jha, Sriparna Basu","doi":"10.1108/jkm-05-2024-0563","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>This study aims to examine the combinations of internal and external knowledge flows between research and development (R&amp;D) incumbents and start-ups in the context of open innovation. While there is a growing body of knowledge that has examined how, in a knowledge economy, a firm’s knowledge and innovation activities are closely linked, there is no systematic review available of the key antecedents, perspectives, phenomenon and outcomes of knowledge spillovers.</p><!--/ Abstract__block -->\n<h3>Design/methodology/approach</h3>\n<p>The authors have conducted dual-stage research. First, the authors conducted a systematic review of literature (97 research articles) by following the theories–contexts–methods framework and the antecedent-phenomenon-outcomes logic. The authors identified the key theories, contexts, methods, antecedents, phenomenon and outcomes of knowledge spillovers between R&amp;D-driven incumbents and start-ups in the open innovation context. In the second stage, the findings of stage one were leveraged to advance a nomological network that depicts the strength of the relationship between the observable constructs that emerged from the review.</p><!--/ Abstract__block -->\n<h3>Findings</h3>\n<p>The findings demonstrate how knowledge spillovers can help incumbent organisations and start-ups to achieve improved innovation capabilities, R&amp;D capacity, competitive advantage and the creation of knowledge ecosystems leading to improved firm performance. This study has important implications for practitioners and managers – it provides managers with important antecedents of knowledge spillover (knowledge capacities and knowledge types), which directly impact the R&amp;D intensity and digitalisation driving open innovation. The emerging network showed that the antecedents of knowledge spillovers have a direct relationship with the creation of a knowledge ecosystem orchestrated by incumbents and that there is a very strong influence of knowledge capacities and knowledge types on the selection of external knowledge partners/sources.</p><!--/ Abstract__block -->\n<h3>Practical implications</h3>\n<p>This study has important implications for practitioners and managers. In particular, it provides managers with important antecedents of knowledge spillover (knowledge capacities and knowledge types), which directly impact the R&amp;D intensity and digitalisation driving open innovation. This will enable managers to take important decisions about what knowledge capacities are required to achieve innovation outcomes. The findings suggest that managers of incumbent firms should be cautious when deciding to invest in knowledge sourcing from external partners. This choice may be driven by the absorptive capacity of the incumbent firm, market competition, protection of intellectual property and public policy supporting innovation and entrepreneurship.</p><!--/ Abstract__block -->\n<h3>Originality/value</h3>\n<p>Identification of the key antecedents, phenomenon and outcomes of knowledge spillovers between R&amp;D-driven incumbents and start-ups in the open innovation context. The findings from Stage 1 helped us to advance a nomological network in Stage 2, which identifies the strength and influence of the various observable constructs (identified from the review) on each other. No prior study, to the best of the authors’ knowledge, has advanced a nomological network in the context of knowledge spillovers between R&amp;D-driven incumbents and start-ups in the open innovation context.</p><!--/ Abstract__block -->","PeriodicalId":48368,"journal":{"name":"Journal of Knowledge Management","volume":"251 1","pages":""},"PeriodicalIF":6.6000,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Knowledge Management","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1108/jkm-05-2024-0563","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 0

Abstract

Purpose

This study aims to examine the combinations of internal and external knowledge flows between research and development (R&D) incumbents and start-ups in the context of open innovation. While there is a growing body of knowledge that has examined how, in a knowledge economy, a firm’s knowledge and innovation activities are closely linked, there is no systematic review available of the key antecedents, perspectives, phenomenon and outcomes of knowledge spillovers.

Design/methodology/approach

The authors have conducted dual-stage research. First, the authors conducted a systematic review of literature (97 research articles) by following the theories–contexts–methods framework and the antecedent-phenomenon-outcomes logic. The authors identified the key theories, contexts, methods, antecedents, phenomenon and outcomes of knowledge spillovers between R&D-driven incumbents and start-ups in the open innovation context. In the second stage, the findings of stage one were leveraged to advance a nomological network that depicts the strength of the relationship between the observable constructs that emerged from the review.

Findings

The findings demonstrate how knowledge spillovers can help incumbent organisations and start-ups to achieve improved innovation capabilities, R&D capacity, competitive advantage and the creation of knowledge ecosystems leading to improved firm performance. This study has important implications for practitioners and managers – it provides managers with important antecedents of knowledge spillover (knowledge capacities and knowledge types), which directly impact the R&D intensity and digitalisation driving open innovation. The emerging network showed that the antecedents of knowledge spillovers have a direct relationship with the creation of a knowledge ecosystem orchestrated by incumbents and that there is a very strong influence of knowledge capacities and knowledge types on the selection of external knowledge partners/sources.

Practical implications

This study has important implications for practitioners and managers. In particular, it provides managers with important antecedents of knowledge spillover (knowledge capacities and knowledge types), which directly impact the R&D intensity and digitalisation driving open innovation. This will enable managers to take important decisions about what knowledge capacities are required to achieve innovation outcomes. The findings suggest that managers of incumbent firms should be cautious when deciding to invest in knowledge sourcing from external partners. This choice may be driven by the absorptive capacity of the incumbent firm, market competition, protection of intellectual property and public policy supporting innovation and entrepreneurship.

Originality/value

Identification of the key antecedents, phenomenon and outcomes of knowledge spillovers between R&D-driven incumbents and start-ups in the open innovation context. The findings from Stage 1 helped us to advance a nomological network in Stage 2, which identifies the strength and influence of the various observable constructs (identified from the review) on each other. No prior study, to the best of the authors’ knowledge, has advanced a nomological network in the context of knowledge spillovers between R&D-driven incumbents and start-ups in the open innovation context.

开放式创新中研发驱动型在职企业与初创企业之间的知识溢出效应:系统回顾与名义网络
本研究旨在探讨在开放式创新背景下,研发(R&D)企业与初创企业之间的内部和外部知识流动组合。虽然有越来越多的知识研究了在知识经济时代,企业的知识和创新活动是如何紧密联系在一起的,但目前还没有关于知识外溢的关键前因、视角、现象和结果的系统性综述。首先,作者按照 "理论-背景-方法 "框架和 "前因-现象-结果 "逻辑对文献(97 篇研究文章)进行了系统综述。作者确定了开放式创新背景下研发驱动型在职企业与初创企业之间知识溢出的主要理论、背景、方法、前因、现象和结果。研究结果研究结果表明,知识外溢如何帮助在职组织和初创企业提高创新能力、研发能力、竞争优势,以及创建知识生态系统,从而提高企业绩效。这项研究对实践者和管理者具有重要意义--它为管理者提供了知识外溢的重要先决条件(知识能力和知识类型),这些先决条件直接影响到研发强度和推动开放式创新的数字化。新兴网络显示,知识外溢的前因与在职者精心策划的知识生态系统的创建有直接关系,而且知识能力和知识类型对外部知识合作伙伴/来源的选择有非常大的影响。特别是,它为管理者提供了知识外溢的重要前因(知识能力和知识类型),这些前因直接影响到研发强度和推动开放式创新的数字化。这将使管理者能够就实现创新成果所需的知识能力做出重要决策。研究结果表明,在职企业的管理者在决定投资从外部合作伙伴处获取知识时应谨慎行事。这种选择可能受在职企业的吸收能力、市场竞争、知识产权保护以及支持创新和创业的公共政策等因素的驱动。第 1 阶段的研究结果有助于我们在第 2 阶段推进一个名义网络,该网络确定了各种可观察到的构造(从综述中确定)的强度和相互影响。据作者所知,此前还没有任何研究针对开放式创新背景下研发驱动型在职企业与初创企业之间的知识溢出问题提出了一个名义网络。
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
13.70
自引率
15.70%
发文量
99
期刊介绍: Knowledge Management covers all the key issues in its field including: ■Developing an appropriate culture and communication strategy ■Integrating learning and knowledge infrastructure ■Knowledge management and the learning organization ■Information organization and retrieval technologies for improving the quality of knowledge ■Linking knowledge management to performance initiatives ■Retaining knowledge - human and intellectual capital ■Using information technology to develop knowledge management ■Knowledge management and innovation ■Measuring the value of knowledge already within an organization ■What lies beyond knowledge management?
×
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