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dc.contributor.authorTerziyan, Vagan
dc.contributor.authorKaikova, Olena
dc.date.accessioned2015-08-26T04:31:56Z
dc.date.available2016-08-31T21:45:05Z
dc.date.issued2015
dc.identifier.citationTerziyan, V., & Kaikova, O. (2015). The ‘magic square’: A roadmap towards emotional business intelligence. <i>Journal of Decision Systems</i>, <i>24</i>(3), 255-272. <a href="https://doi.org/10.1080/12460125.2015.969592" target="_blank">https://doi.org/10.1080/12460125.2015.969592</a>
dc.identifier.otherCONVID_24011029
dc.identifier.otherTUTKAID_63841
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/46707
dc.description.abstractEmotions are known to be an important driver in human behaviour and decision-making. In the business world, there is a growing belief that emotions are not an obstacle but rather an enabler for a successful business. Business intelligence (by providing analytical processing and convenient presentation of a business data) traditionally supports rational decision-making. However, opposite to former opinion that all decisions should be ‘cleansed’ of emotions, there are more and more indicators of the need for solutions supporting also emotional decision-making. The domain of emotional business intelligence, suggested in this paper, concerns emotional and emotion-aware decisions, intuition, innovation and creativity. We present the new domain as an integration of popular, emerging and evolving domains of emotional business, emotional intelligence and business intelligence. We argue the objectives of emotional business intelligence and discuss the needed technological basis, models and methods for its roadmapping.fi
dc.language.isoeng
dc.publisherTaylor & Francis
dc.relation.ispartofseriesJournal of Decision Systems
dc.subject.otherdecision-making
dc.subject.otheremotion
dc.subject.otheremotional business
dc.subject.otherrational vs. emotional
dc.subject.othersemantic technology
dc.titleThe ‘magic square’: A roadmap towards emotional business intelligence
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-201508252751
dc.contributor.laitosTietotekniikan laitosfi
dc.contributor.laitosDepartment of Mathematical Information Technologyen
dc.contributor.oppiaineTietotekniikkafi
dc.contributor.oppiaineMathematical Information Technologyen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.date.updated2015-08-25T09:15:03Z
dc.type.coarjournal article
dc.description.reviewstatuspeerReviewed
dc.format.pagerange255-272
dc.relation.issn1246-0125
dc.relation.numberinseries3
dc.relation.volume24
dc.type.versionacceptedVersion
dc.rights.copyright© Taylor & Francis. This is a final draft version of an article whose final and definitive form has been published by Taylor & Francis.
dc.rights.accesslevelopenAccessfi
dc.subject.ysobusiness intelligence
dc.subject.ysotunneäly
jyx.subject.urihttp://www.yso.fi/onto/yso/p9225
jyx.subject.urihttp://www.yso.fi/onto/yso/p6731
dc.relation.doi10.1080/12460125.2015.969592


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