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Architecture of Belonging – A Social Identity-based Design Theory of Community Identification in Multiplayer Video Games

Müller Marius; Laato Samuli; Kordyaka Bastian; Niehaves Bjoern

dc.contributor.authorMüller Marius
dc.contributor.authorLaato Samuli
dc.contributor.authorKordyaka Bastian
dc.contributor.authorNiehaves Bjoern
dc.date.accessioned2022-10-28T13:53:56Z
dc.date.available2022-10-28T13:53:56Z
dc.identifier.isbn978-0-9981331-4-0
dc.identifier.issn2572-6862
dc.identifier.urihttps://www.utupub.fi/handle/10024/168137
dc.description.abstract<p>Recently several studies have worked towards a better understanding of reasons to play multiplayer online games (MOGs). Despite multiple approaches used, understanding of the topic remains incomplete due to its complexity. This study constructs an explanatory design theory of community identification as a predictor of engagement in MOGs. To that end, a structured multimixed-method study was conducted. First, a quantitative survey (N=236) was used to illustrate the explanatory power of community identification in the specific context of our study. Second, a workshop (N=10) was held identifying similarity and mutual influence as the most meaningful design elements of community identification. On this basis, and building off the design science paradigm, and assumptions from the contrast model and interactive richness, an explanatory design theory to foster community identification in MOGs is derived. The model features the elements of the design factors similarity (high vs. low) and interactive richness (rich vs. poor) that can be tested in future (experimental) research.<br></p>
dc.language.isoen
dc.titleArchitecture of Belonging – A Social Identity-based Design Theory of Community Identification in Multiplayer Video Games
dc.identifier.urlhttp://hdl.handle.net/10125/71276
dc.identifier.urnURN:NBN:fi-fe2021042824145
dc.contributor.organizationfi=tietotekniikan laitoksen yhteiset|en=Tietotekniikan laitoksen yhteiset|
dc.contributor.organization-code2610300
dc.converis.publication-id53075348
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/53075348
dc.format.pagerange5389
dc.format.pagerange5398
dc.okm.affiliatedauthorLaato, Samuli
dc.okm.discipline113 Computer and information sciencesen_GB
dc.okm.discipline515 Psykologiafi_FI
dc.okm.discipline515 Psychologyen_GB
dc.okm.discipline113 Tietojenkäsittely ja informaatiotieteetfi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeConference proceedings article
dc.publisher.countryUnited Statesen_GB
dc.publisher.countryYhdysvallat (USA)fi_FI
dc.publisher.country-codeUS
dc.publisher.placeHonolulu, HI
dc.relation.conferenceHawaii International Conference on System Sciences
dc.relation.doi10.24251/HICSS.2021.656
dc.title.bookProceedings of the 54th Hawaii International Conference on System Sciences 2021
dc.year.issued2021


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