The Impact of Gamification on Word-of-Mouth Effectiveness: Evidence from Foursquare

dc.contributor.author Wang, Lei
dc.contributor.author Gunasti, Kunter
dc.contributor.author Gopal, Ram
dc.contributor.author Shankar, Ramesh
dc.contributor.author Pancras, Joseph
dc.date.accessioned 2016-12-29T00:21:55Z
dc.date.available 2016-12-29T00:21:55Z
dc.date.issued 2017-01-04
dc.description.abstract Companies are encouraging and incentivizing contributors of online word-of-mouth (WOM) through gamification elements such as badges, mayorships, points, and such. We study how gamification elements, which capture and signal contributors’ accumulated expertise, affect consumers’ perception of contributors’ knowledge, and therefore the perceived effectiveness of their contributed WOM. We focus on two specific gamification elements on Foursquare: badges, which signal breadth of knowledge, and mayorships, which signal depth of knowledge. Using experiments conducted on Amazon Mechanical Turk, we find: (1) badges and mayorships that appear alongside contributors’ online WOM, provide a unique way to signal WOM contributors’ knowledge and therefore have an impact on the perceived effectiveness of such WOM; (2) the impact of badges on perceived WOM effectiveness is higher than that of mayorships. Our findings have important implications for the ongoing research on the impact of gamification and also suggest ways for firms to benefit from gamification.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2017.090
dc.identifier.isbn 978-0-9981331-0-2
dc.identifier.uri http://hdl.handle.net/10125/41239
dc.language.iso eng
dc.relation.ispartof Proceedings of the 50th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Badge
dc.subject Gamification
dc.subject Mayorship
dc.subject Word-of-Mouth
dc.title The Impact of Gamification on Word-of-Mouth Effectiveness: Evidence from Foursquare
dc.type Conference Paper
dc.type.dcmi Text
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