Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/10438
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dc.contributor.authorDu, Helen S.en_US
dc.contributor.authorDr. KE Xiaobo, Boben_US
dc.contributor.authorWagner, Christianen_US
dc.date.accessioned2024-09-05T02:28:57Z-
dc.date.available2024-09-05T02:28:57Z-
dc.date.issued2020-
dc.identifier.citationIndustrial Management & Data Systems, 2020, vol. 120(4), pp. 692-713.en_US
dc.identifier.issn0263-5577-
dc.identifier.urihttp://hdl.handle.net/20.500.11861/10438-
dc.description.abstractPurpose This research draws on goal framing theory and gamification affordance to understand how gamification design encourages users' continuous usage of information systems (IS) to perform proenvironmental behaviors. Design/methodology/approach Survey data (N = 307) were collected from users of a gamified IS designed for environmental protection. The research model was examined with structural equation modeling. Findings Satisfying users' demand on green effectiveness, enjoyment, and social gain directly/indirectly predicts users' intention to continue to utilize the gamified IS for proenvironmental behaviors. Moreover, gamification affordance of autonomy support, visibility of achievement, competition, and interactivity influences the satisfaction of the users' relevant demands. Originality/value This research contributes to the IS research for environmental sustainability at the individual level. Specifically, this research extends the understanding of users' decision-making on continuance and the role of gamification design in the context of gamified IS developed for environmental conservation.en_US
dc.language.isoenen_US
dc.relation.ispartofIndustrial Management & Data Systemsen_US
dc.titleInducing individuals to engage in a gamified platform for environmental conservationen_US
dc.typePeer Reviewed Journal Articleen_US
dc.identifier.doihttps://doi.org/10.1108/IMDS-09-2019-0517-
item.fulltextNo Fulltext-
crisitem.author.deptDepartment of Applied Data Science-
Appears in Collections:Applied Data Science - Publication
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