Author List: Hutter, Katja; F™ller, Johann,; Hautz, Julia; BILGRAM, VOLKER; Matzler, Kurt;
Journal of Management Information Systems, 2015, Volume 32, Issue 3, Page 197-228.
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. > >
Keywords: business ethics; co-creation; competitive behavior ;crowdsourcing innovation; innovation contests ;Machiavellianism ;online contests ;personality traits
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#75 0.188 behavior behaviors behavioral study individuals affect model outcomes psychological individual responses negative influence explain hypotheses expected theories consequences impact theory
#220 0.124 research study different context findings types prior results focused studies empirical examine work previous little knowledge sources implications specifically provide
#210 0.119 innovation innovations innovative organizing technological vision disruptive crowdsourcing path implemented explain base opportunities study diversity taking actors practice shape creation
#276 0.115 satisfaction information systems study characteristics data results using user related field survey empirical quality hypotheses important success various indicate tested
#161 0.106 role relationship positively light important understanding related moderating frequency intensity play stronger shed contribution past considered maintenance effort effect specifically
#45 0.103 community communities online members participants wikipedia social member knowledge content discussion collaboration attachment communication law virtual membership structures forms activities
#155 0.075 technology research information individual context acceptance use technologies suggests need better personality factors new traits telemedicine adoption examined does management