How user personality and information characteristics influence the creative information quality on open innovation platforms: an elaboration likelihood model

Abstract

PurposeLarge 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/approachIn 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.FindingsThe 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/valueDifferent 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.

How to select employees to participate in interactive innovation: analysis of the relationship between personality, social networks and innovation behavior

“…Specifically, the number of social groups in which employee participants play a mediating role between extraversion and innovative behavior, a mediating role between openness and innovative behavior, and no mediating role between conscientiousness and innovative behavior. Previous research mainly focuses on the relationship between two of the three variables, for instance, personality and innovative behavior relationships (Zhou, 2021; Zhou et al. , 2022), personality and social behavior relationships, or social network and innovative behavior relationships (Leenders and Dolfsma, 2016; Cangialosi et al.…”

“…There is limited research on extroversion and open innovation behavior that focuses on product consumers and company leaders. In open innovation platforms, extroverted consumers are more likely to propose creative solutions and high-quality information (Zhou et al. , 2022).…”

“…The abovementioned studies suggest that the more innovative activities that require cooperation from others, the more significant is the role of agreeableness. However, in open innovation platforms, agreeableness enhances interpersonal collaboration but does not facilitate consumers to formulate creative messages (Zhou et al. , 2022).…”

“…, 2020). In addition, conscientiousness has a positive impact on consumers' active participation in interactive innovation activities, urging them to develop more high-quality ideas (Zhou et al. , 2022).…”

“…For instance, network composition is essential for the incorporation of open innovation, such as network centrality and density, to help individuals achieve success in the design process (Ball and Lewis, 2018). High social centrality contributes to consumers presenting high-quality information in OICs (Zhou et al. , 2022).…”