Formation conditions, innovation, and learning in R&D consortia

Author:

Eisner Alan B.,Rahman Noushi,Korn Helaine J.

Abstract

PurposeThis paper aims to focus on formation motivations and processes of R&D consortia to appreciate their differential innovative and learning capabilities.Design/methodology/approachThe paper presents its argument in two separate steps. First, a two‐by‐two framework, comprising four consortium types, is developed based on two formation motivations (i.e. risk sharing and networking) and two formation processes (i.e. emergent and engineered). Four case vignettes are used to demonstrate the practical relevance of the two‐by‐two consortium typology framework. Second, the innovative and learning capabilities of each of these consortia are explored and eight propositions are advanced.FindingsThe paper introduces four types of consortia: community builders, gamblers, visible hands, and opportunists. It is argued that visible hands generate greater innovation than community builders and opportunists, and community builders and opportunists generate greater innovation than gamblers. It is also argued that government involvement moderates the relationship between consortia type and innovative capabilities in an inverted U shape. Lastly, relative appropriateness of frequency, outcome, and trait imitations to facilitate organization‐level learning among consortium members is explored.Originality/valueThe main contribution of this paper lies in its two‐by‐two typology of consortium formation contextual conditions. Instead of focusing on evolutionary cycles and performance issues of consortia, this paper draws research attention to contextual conditions surrounding consortia formation. Consortium formation contextual conditions are critically important because they predetermine the life cycle and performance trajectory of consortia. This paper also links innovation and learning dynamics in consortia.

Publisher

Emerald

Subject

Management Science and Operations Research,General Business, Management and Accounting

Cited by 18 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3