Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/9657
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dc.contributor.authorDr. LEE Tin Yun, Philipen_US
dc.contributor.authorChau, Michaelen_US
dc.contributor.authorLui, Richarden_US
dc.date.accessioned2024-04-26T09:09:06Z-
dc.date.available2024-04-26T09:09:06Z-
dc.date.issued2023-
dc.identifier.citationLee, T. Y., Chau, M., & Lui, R. (2023). The necessary evil in mixed-motivational systems: The negative effect of entropy in serious games. In PACIS (Ed.). PACIS 2023 Proceedings. PACIS 2023, Nanchang, China (pp. 1315).en_US
dc.identifier.urihttp://hdl.handle.net/20.500.11861/9657-
dc.description.abstractRandomness is common in mixed-motivational system environment. Yet, it is attributable to information deprivation which is not always favored. In this paper, we use the concept entropy to quantitatively capture the rather overlooked influence of randomness embedded in a system. With the use of a serious game, we conducted a study with university students in a classroom setting. We show that entropy has an adverse impact on intention to use. The adverse impact is mediated by perceived control and curiosity. We further demonstrate that people having a strong arousal-avoidance pre-usage state are less prone to the negative effect of entropy. On theoretical implications, the study is among early attempts to examine the negative consequences of information deprivation due to randomness. It shows the mechanisms through which entropy leads to deteriorated intention to use. On practical implications, we suggest that manipulation of pre-usage user states alleviates the adverse impacts of entropy.en_US
dc.language.isoenen_US
dc.titleThe necessary evil in mixed-motivational systems: The negative effect of entropy in serious gamesen_US
dc.typeConference Paperen_US
dc.relation.conferencePacific Asia Conference on Information Systems, PACIS 2023en_US
item.fulltextNo Fulltext-
crisitem.author.deptDepartment of Economics and Finance-
Appears in Collections:Economics and Finance - Publication
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