Zhang, H., Lin, Q., Qi, C. orcid.org/0000-0002-6783-7070 et al. (1 more author) (2022) The effects of online reviews on the popularity of user-generated design ideas within the Lego community. European Journal of Marketing, 56 (10). pp. 2622-2648. ISSN 0309-0566
Abstract
Purpose
This study aims to explore how online reviews and users’ social network centrality interact to influence idea popularity in open innovation communities (OICs).
Design/methodology/approach
This study used Python to obtain data from the LEGO Innovation Community. In total, 285,849 reviews across 4,475 user designs between March 2019 and March 2021 were extracted to test this study’s hypotheses.
Findings
The ordinary least square regression analysis results show that review volume, review valence, review variance and review length all positively influence idea popularity. In addition, users’ in-degree centrality positively interacts with review valence, review variance and review length to influence idea popularity, while their out-degree centrality negatively interacts with such effects.
Research limitations/implications
Drawing on the interactive marketing perspective, this study employs a large sample from the LEGO community and examines user design and idea popularity from a community member’s point of view. Moreover, this study is the first to confirm the role of online reviews and user network centrality in influencing idea popularity in OICs from a social network perspective. Furthermore, by integrating social network analysis and persuasion theories, this study confirms the interaction effects of review characteristics and users’ social network centrality on idea popularity.
Practical implications
This study’s results highlight that users should actively interact and share with reviewers their professional product design knowledge and/or the journey of their design to improve the volume of reviews on their user designs. Moreover, users could also draw more attention from other users by actively responding to heterogeneous reviews. In addition, users should be cautious with the number of people they follow and ensure that they improve their in-degree rather than out-degree centrality in their social networks.
Originality/value
This study integrates social network analysis and persuasion theories to explore the effects of online reviews and users’ centrality on idea popularity in OICs, a vital research issue that has been overlooked.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Hao Zhang, Qingyue Lin, Chenyue Qi and Xiaoning Liang. 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 |
Keywords: | Business Systems In Context; Commerce, Management, Tourism and Services; Basic Behavioral and Social Science; Behavioral and Social Science |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Management School (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 23 Oct 2024 10:53 |
Last Modified: | 23 Oct 2024 10:53 |
Status: | Published |
Publisher: | Emerald |
Refereed: | Yes |
Identification Number: | 10.1108/ejm-10-2021-0816 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:218685 |