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.

中文翻译：

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用户个性和信息特征如何影响开放创新平台上的创意信息质量：精细化可能性模型

目的

海量的用户创意信息迅速成为开放创新平台的重要资源，从海量创意信息中识别优质信息至关重要。然而，现有关于创意信息质量的文献只关注信息特征或出版商的特征。

设计/方法/方法

在本文中，作者使用阐述似然模型来检验中心路径因素（信息特征：时效性、可读性和情感）和外围路径因素（来源特征：个性特征、过去成功经验和社交网络位置）的共同作用。创意信息的质量。此外，作者还探讨了企业支持中心和外围路径因素对创意信息质量的调节作用。最后，采用二元逻辑回归对来自 Salesforce 的经验数据的研究假设进行检验。

发现

结果表明，外向性、尽责性、社会中心性和先验成功率高的用户倾向于提出高质量的信息。同时，信息的及时性、可读性和情感也会对创意信息的质量产生负面影响。

原创性/价值

与以往的研究不同，研究结果不仅提供了从信息角度识别创意信息质量的见解，而且促进了对信息用户内在人格特征的认识以及平台及其管理者的创新支持努力。