Han, Chunjia and Yang, Mu (2019) Stimulating innovation on social product development: an analysis of social behaviors in online innovation communities. IEEE Transactions on Engineering Management, 69 (2). pp. 365-375. ISSN 0018-9391 (doi:10.1109/TEM.2019.2955073)

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Abstract

With firms' increasing adoption of social product development strategies, such as mass collaboration and crowdsourcing, online users are actively participating in the development of new products and services via social media platforms. Online innovation communities (OICs), one representative of such social media platforms, have been used by large firms to collect ideas from their users and facilitate the product development process. While it is extensively studied that product ideas with high popularity
on OICs are of great importance to the product development, research on what social behaviors of online users lead to the high popularity is largely unclear. This paper conducts an empirical study by collecting a large-scale, quantitative dataset from an OIC
between 2014 and 2018. With the analysis of users' online idea posting and commenting behaviors, our results reveal that the idea contribution experience, together with comment diversity positively in uence the overall popularity of an individual's ideas, while the motivation of providing comments is negatively related. Moreover, user's innovation capability poses a positive effect on both overall and average popularity of ideas. These findings can help firms better incentivise their users on OICs to improve the effectiveness and efficiency of social product development.

Item Type:	Article
Uncontrolled Keywords:	user innovation, crowdsoucing, social product development
Subjects:	H Social Sciences > H Social Sciences (General)
Faculty / School / Research Centre / Research Group:	Faculty of Business Faculty of Business > Department of Systems Management & Strategy Faculty of Business > Networks and Urban Systems Centre (NUSC) Faculty of Business > Networks and Urban Systems Centre (NUSC) > Connected Cities Research Group
Last Modified:	15 Feb 2022 16:14
URI:	http://gala.gre.ac.uk/id/eprint/25862

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