How user personality and information characteristics influence the creative information quality on open innovation platforms: an elaboration likelihood model
ISSN: 0368-492X
Article publication date: 5 July 2021
Issue publication date: 30 May 2022
Abstract
Purpose
Large volumes of users' creative information have rapidly become vital resources in the open innovation platforms, so it is crucial to identify high-quality information from massive creative information. However, the existing literature on the quality of creative information only focuses on the information characteristics or publishers' features.
Design/methodology/approach
In this paper, the authors used the elaboration likelihood model to examine the joint effect of central route factors (information characteristics: timeliness, readability and sentiment) and peripheral route factors (source characteristics: personality traits, past successful experiences and social network location) on the quality of creative information. Furthermore, the author explored the moderating roles of companies' support between central and peripheral route factors on the quality of creative information. Finally, binary logistic regression was adopted to test the research hypotheses on the empirical data from Salesforce.
Findings
The results indicated that users with high extroversion, conscientiousness, social centrality and prior success rate tended to propose high-quality information. Meanwhile, information timeliness, readability and sentiment also negatively influence the quality of creative information.
Originality/value
Different from previous studies, the study findings not only provide insights on identifying the quality of creative information from an information perspective, but also promotes the awareness of the intrinsic personality traits of information users and innovative support efforts by platforms and their managers.
Keywords
Acknowledgements
This work was supported by grants from the National Social Science Foundation of China (Projects No. 18AZD005) and the National Natural Science Foundation of China (Project No. 71874108). Meanwhile, the authors would like to express our gratitude to all the individuals and organizations that supported the research operation, especially for Prof Gandolfo Dominici and two anonymous reviewers for their constructive suggestions.
Citation
Zhou, L., Zhang, Z., Zhao, L. and Yang, P. (2022), "How user personality and information characteristics influence the creative information quality on open innovation platforms: an elaboration likelihood model", Kybernetes, Vol. 51 No. 7, pp. 2305-2325. https://doi.org/10.1108/K-01-2021-0029
Publisher
:Emerald Publishing Limited
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