Prior research on user behavior in online innovation contests has mainly focused on factors that positively impact prosocial, collaborative behavior, which should ultimately lead to innovative outcomes. However, little is known about the effects of more negative personal characteristics that might result in more competitive, antisocial, and even unethical behavior. This paper considers Machiavellianism as one of the traits that constitute the Òdark triad of personalityÓ and explores the relationship between Machiavellianism and participants' contribution behavior in online innovation contests. Specifically we investigate how Machiavellian characteristics influence individuals' contribution intensity, communication, and interaction behavior within the contest community as well as the quality and kind of their contributions. This study relies on multisource individual-level data from a large innovation contest in the field of public transportation. We find that the three dimensions of MachiavellianismÑdistrust of others, amorality, and desire for statusÑhave very distinct behavioral consequences in the context of online innovation contests. Specifically, the oppositional consequences of amoral manipulation and striving for status on the one hand and showing distrust of others on the other hand concerning contribution quantity and contribution quality are found. This study contributes to a deeper understanding of negative personality traits such as Machiavellianism as powerful predictors of behavior and of success within competitive innovation environments and leads to important managerial implications regarding the design and management of innovation contests. > >
Organizations increasingly initiate Internet-based innovation-contest communities through which individuals can interact and contribute to the innovation process. To successfully manage these communities, organizations need to understand what roles members assume, how they communicate and vary in their contribution behavior. In this exploratory study, we investigate the heterogeneous roles of contest participants based on an international innovation-contest community. We identify six user types associated with various behavioral contribution patterns by using cluster and social network analysis. The six user types further differ in their communicative content and contribution quality. Our paper contributes to a better theoretical understanding of distinctive user types in innovation-contest communities, their role in the community, and their contribution to the success of innovation contests in the era of social software. From a managerial perspective, the study provides guidance for contest platform design and appropriate reward structures.