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Literature review | Open Access

Value co-creation mechanisms of enterprises and users under crowdsource-based open innovation

Qian Liu1( )Xin Zhao2Baowen Sun3
China Center for Internet Economy Research, Central University of Finance and Economics, Beijing, China
School of Economics and Management, Xi’an University of Technology, Xi’an, China
Central University of Finance and Economics, Beijing, China
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Abstract

Purpose

The purpose of this paper is to systematically review the existing research and summarize the value co-creation mechanism between enterprises and users in crowdsource-based open innovation (COI).

Design/methodology/approach

Crowdsourcing is an effective means for enterprises to launch open innovation. This paper will first introduce the concepts and forms of open innovation and crowdsourcing, and then define COI.

Findings

This paper will analyze the key parties in innovative tasks, value co-creation mechanism that creates ideas, the interaction of key participants and the process of integrating internal and external resources to realize open innovation.

Research limitations/implications

In the end, this paper will put forward the theoretical framework for future studies on the development of COI from the perspective of value co-creation.

Originality/value

This thesis will first introduce the concepts and forms of open innovation and outsourcing and then define COI. Then it will systematically review the existing research studies and summarize the value co-creation mechanism between enterprises and users under COI model by analyzing the key parties in innovative tasks, value co-creation mechanism that creates ideas, the interaction mode of key participants and the process of enterprises integrating internal and external resources to realize open innovation.

References

【1】
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International Journal of Crowd Science
Pages 2-17

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Cite this article:
Liu Q, Zhao X, Sun B. Value co-creation mechanisms of enterprises and users under crowdsource-based open innovation. International Journal of Crowd Science, 2018, 2(1): 2-17. https://doi.org/10.1108/IJCS-01-2018-0001

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Received: 23 January 2018
Revised: 02 April 2018
Accepted: 03 April 2018
Published: 23 May 2018
2018 International Journal of Crowd Science

Qian Liu, Xin Zhao and Baowen Sun. Published in International Journal of Crowd Science. Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode