The role of analytics in data-driven business models of multi-sided platforms

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorIsabelle, Diane
dc.contributor.authorWesterlund, Mika
dc.contributor.authorMane, Mohnish
dc.contributor.authorLeminen, Seppo
dc.contributor.departmentNational Research Council of Canada
dc.contributor.departmentCarleton University
dc.contributor.departmentNTT Data Canada
dc.contributor.departmentUSN School of Business
dc.date.accessioned2022-03-28T09:42:59Z
dc.date.available2022-03-28T09:42:59Z
dc.date.issued2020-07
dc.descriptionPublisher Copyright: © 2020 Carleton University. All rights reserved.
dc.description.abstractThe collection and use of data play an increasingly important role in the growth and success of today's digital multi-sided platforms (MSPs). However, many aspiring MSPs lack effective strategies for using data to establish a profitable data-driven business model (DDBM). This study explores how MSPs in the food industry can utilize data to develop such a DDBM. Based on an analysis of seven illustrative cases of high-growth MSPs, namely food delivery and meal kit providers, the study identifies eight factors that reveal the role of analytics in those firms' DDBM, and further classifies them into three DDBM boosters. The findings contribute to our extant knowledge on MSPs and DDBM by addressing how digital platforms in the food industry can leverage big data to optimize their current business processes, predict future value of their product and service offerings, and develop their partnerships.en
dc.description.versionPeer revieweden
dc.format.extent12
dc.format.extent4-15
dc.format.mimetypeapplication/pdf
dc.identifier.citationIsabelle , D , Westerlund , M , Mane , M & Leminen , S 2020 , ' The role of analytics in data-driven business models of multi-sided platforms : An exploration in the food industry ' , Technology Innovation Management Review , vol. 10 , no. 7 , pp. 4-15 . < https://timreview.ca/article/1371 >en
dc.identifier.issn1927-0321
dc.identifier.otherPURE UUID: de6421ca-85b8-4542-b0f0-07f96b3d9c21
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/de6421ca-85b8-4542-b0f0-07f96b3d9c21
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85093111613&partnerID=8YFLogxK
dc.identifier.otherPURE LINK: https://timreview.ca/article/1371
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/80738429/TIMReview_2020_July.pdf
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/113804
dc.identifier.urnURN:NBN:fi:aalto-202203282681
dc.language.isoenen
dc.publisherCARLETON UNIV GRAPHIC SERVICES
dc.relation.ispartofseriesTechnology Innovation Management Reviewen
dc.relation.ispartofseriesVolume 10, issue 7en
dc.rightsopenAccessen
dc.subject.keywordData analytics
dc.subject.keywordData-driven business models DDBM boosters
dc.subject.keywordDigital platforms
dc.subject.keywordFood industry
dc.titleThe role of analytics in data-driven business models of multi-sided platformsen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionpublishedVersion

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