Skip navigation

Stimulating innovation: managing peer interaction for idea generation on digital innovation platforms

Stimulating innovation: managing peer interaction for idea generation on digital innovation platforms

Yang, Mu and Han, Chunjia (2019) Stimulating innovation: managing peer interaction for idea generation on digital innovation platforms. Journal of Business Research. ISSN 0148-2963 (doi:https://doi.org/10.1016/j.jbusres.2019.08.005)

[img] PDF (Author's Accepted Manuscript)
24888 HAN_Stimulating_Innovation_Peer_Interaction_Idea_Generation_Digital_Innovation_(AAM)_2019.pdf - Accepted Version
Restricted to Repository staff only until 20 February 2021.

Download (287kB) | Request a copy

Abstract

This study investigates user behaviours in online innovation communities which are enabled by digital technologies, to obtain an understanding of the relationship between user’s social interaction and their innovation contribution. The new type of innovation communities enable firms to crowdsource ideas from their users for developing new products and improving existing ones, and to facilitate the interactions among users. From an empirical study which collects a large-scale, quantitative data set from Microsoft’s Idea platform of Business Intelligent products, this paper focuses on the amount and diversity of users’ social interaction particularly their commenting behaviours on the platform, and uses the number of posted ideas and the number of implemented ideas to capture users’ contribution to the firm’s innovation development. The findings indicate that the amount of user interaction is positively related to the number of implemented ideas, but has an inverted U-shaped relationship with idea number. Moreover, diverse user interaction encourages idea posting, but is negatively associated with the number of implemented ideas. The findings should provide managerial guidance to firms on incentivizing and managing user interaction in online communities in order to improve firms’ innovation development.

Item Type: Article
Uncontrolled Keywords: open innovation, digital platform, user interaction, crowdsourcing
Subjects: H Social Sciences > H Social Sciences (General)
Faculty / Department / 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: 30 Sep 2019 15:46
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/24888

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics