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dc.contributor.authorLunde, Trygve Åse
dc.contributor.authorSjusdal, Atilla Paul
dc.contributor.authorPappas, Ilias
dc.date.accessioned2020-04-06T17:04:01Z
dc.date.available2020-04-06T17:04:01Z
dc.date.created2020-01-08T14:07:59Z
dc.date.issued2019
dc.identifier.citationLecture Notes in Computer Science (LNCS). 2019, 11701 LNCS 164-176.en_US
dc.identifier.issn0302-9743
dc.identifier.urihttps://hdl.handle.net/11250/2650543
dc.description.abstractThe interest of adopting big data (BD) in organizations has emerged in recent years. Even though many organizations have attempted to adopt BD, the benefits gained by this investment has been limited, and organizations struggle to fully utilize the potential of BD. There has been done several studies on the different challenges and benefits that may occur during the process of adopting and using BD. One major factor that has been discussed in the literature to overcome such challenges has been organizational culture. This paper aims to provide a systematic literature review that reports the organizational culture’s impact on BD adoption through the lens of different cultural dimensions. This paper identifies the different dimensions of organizational culture and dives into the specific challenges and potential strategies/techniques to combat these challenges. By reviewing these papers, we ended up with identifying four dimensions of organizational culture in the context of BD. The result of this paper aims to help practitioners and researchers to understand and combat the specific challenges surrounding organizational culture when adopting BD.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.titleOrganizational Culture Challenges of Adopting Big Data: A Systematic Literature Reviewen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.source.pagenumber164-176en_US
dc.source.volume11701 LNCSen_US
dc.source.journalLecture Notes in Computer Science (LNCS)en_US
dc.identifier.doi10.1007/978-3-030-29374-1_14
dc.identifier.cristin1768646
dc.description.localcodeThis is a post-peer-review, pre-copyedit version of an article. Locked until 14.8.2020 due to copyright restrictions. The final authenticated version is available online at: http://dx.doi.org/10.1007/978-3-030-29374-1_14en_US
cristin.unitcode194,63,10,0
cristin.unitnameInstitutt for datateknologi og informatikk
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode1


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