Vis enkel innførsel

dc.contributor.authorPappas, Ilias
dc.contributor.authorMikalef, Patrick
dc.contributor.authorGiannakos, Michail
dc.contributor.authorKourouthanassis, Panos
dc.date.accessioned2019-07-05T06:39:01Z
dc.date.available2019-07-05T06:39:01Z
dc.date.created2019-01-24T14:09:50Z
dc.date.issued2019
dc.identifier.issn1066-2243
dc.identifier.urihttp://hdl.handle.net/11250/2603487
dc.description.abstractPurpose In the complex ecosystem of mobile applications multiple factors have been used to explain users’ behavior, without though focusing on how different combinations of variables may affect user behavior. The purpose of this paper is to show how price value, game content quality, positive and negative emotions, gender and gameplay time interact with each other to predict high intention to download mobile games. Design/methodology/approach Building on complexity theory, the authors present a conceptual model followed by research propositions. The propositions are empirically validated through configurational analysis, employing fuzzy-set qualitative comparative analysis (fsQCA) on 531 active users of mobile games. Findings Findings identify ten solutions that explain high intention to download mobile games. Alternative paths are identified depending on the gender and the time users spend playing mobiles games. The authors highlight the role of price value and game content quality, as well as that of positive emotions, which are always core factors when present. Originality/value To identify complex interactions among the variables of interest, fsQCA is employed, differentiating from traditional studies using variance-based methods, leading to multiple solutions explaining the same outcome. None of the variables explains the intention to download on its own, but only when they combine with each other. The authors extend existing knowledge on how price value, game content quality, emotions, gender and gameplay time combine to lead to high intention to download mobile games; and present a methodology for how to bridge complexity theory with fsQCA, improving our understanding of intention to adopt mobile applications.nb_NO
dc.language.isoengnb_NO
dc.publisherAssociation for Computing Machinery (ACM)nb_NO
dc.relation.urihttps://www.emeraldinsight.com/doi/full/10.1108/IntR-12-2017-0479
dc.titleExplaining User Experience in Mobile Gaming Applications: An fsQCA Approachnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.journalInternet Researchnb_NO
dc.identifier.doi10.1108/IntR-12-2017-0479
dc.identifier.cristin1664517
dc.description.localcode© 2019. This is the authors' accepted and refereed manuscript to the article. The final authenticated version is available online at: 10.1108/IntR-12-2017-0479nb_NO
cristin.unitcode194,63,10,0
cristin.unitnameInstitutt for datateknologi og informatikk
cristin.ispublishedfalse
cristin.fulltextpreprint
cristin.qualitycode1


Tilhørende fil(er)

Thumbnail

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel