Innovation intelligence: Crowdsourcing in a social network

被引：3

作者：

Saur-Amaral I. ^{[1
,2
,3
]}

Rego A. ^{[3
]}

机构：

[1] GOVCOPP Research Unit, Department of Economics, Management and Industrial Engineering, University of Aveiro, 3810-093, Aveiro, Campus Universitário de Santiago

[2] Portuguese Institute of Business Administration and Marketing (IPAM), Rua das Cardadeiras, Esgueira, 3800-125, Aveiro

[3] Department of Economics, Management and Industrial Engineering, University of Aveiro, 3810-093, Aveiro, Campus Universitário de Santiago

来源：

International Journal of Technology Intelligence and Planning | 2010年 / 6卷 / 03期

关键词：

Collective intelligence; Crowdsourcing; Cyber communication; Knowledge construction; Knowledge share; LinkedIn; Open innovation; Social networking; Social networks; Virtual communities;

D O I：

10.1504/IJTIP.2010.035780

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Our paper looks at the way innovation problems, solutions and trends are freely reflected in collective intelligence available in global initiatives and social networks. Social networks and global initiatives building on free contributions with high visibility have emerged as alternative solutions to grasp and integrate knowledge all over the world. We aim to identify types of contribution and possible effects onto organisational innovation. Our paper uses a grounded-theory approach, building from data available online, in two LinkedIn innovation groups where the author is a full member (related to Open Innovation). The main outcomes of our paper reside in better understanding the role that can be played in innovation by no-cost collective initiatives open to worldwide contributors, the type of contributors and contribution that appear in those initiatives. © 2010 Inderscience Enterprises Ltd.

引用

页码：288 / 299

页数：11

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