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dc.contributor.authorKuniko, Moriya
dc.contributor.authorTou, Yuji
dc.contributor.authorWatanabe, Chihiro
dc.contributor.authorNeittaanmäki, Pekka
dc.date.accessioned2019-10-11T12:09:49Z
dc.date.available2019-10-11T12:09:49Z
dc.date.issued2019
dc.identifier.citationKuniko, M., Tou, Y., Watanabe, C., & Neittaanmäki, P. (2019). Co-Evolutionary Coupling Between Captured and Uncaptured GDP Cycles : Cross Learning from Amazon and Finland Models for Sustainability. <i>International Journal of Managing Information Technology</i>, <i>11</i>(2), 33-54. <a href="https://doi.org/10.5121/ijmit.2019.11203" target="_blank">https://doi.org/10.5121/ijmit.2019.11203</a>
dc.identifier.otherCONVID_33188113
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/65826
dc.description.abstractA solution to the critical problem of a dilemma between R&D expansion and productivity decline that a majority of information and communication technology (ICT) leaders have been confronting in the digital economy is expected. It can be expected by a spinoff from economic functionality-seeking GDP-based coevolution cycle to supra-functionality beyond an economic value-seeking uncaptured GDP-driven coevolution cycle. However, the transformation dynamism remains a black box. By means of numerical simulations based on empirical analyses of the development trajectories of global ICT leaders, focusing on Amazon and Finland, together with an intensive review of preceding analyses, this paper attempted to elucidate the inside the black box of the above dynamism. By developing a practically applicable numerical approach, inspired attempts to explore a new elucidation frontier were conducted, thereby enabling a new concept of co-evolutionary coupling between two cycles to be postulated. An insightful suggestion regarding possible consequences in the future stemming from the trajectory option was thus provided.en
dc.format.mimetypeapplication/pdf
dc.languageeng
dc.language.isoeng
dc.publisherAIRCC Publishing Corporation
dc.relation.ispartofseriesInternational Journal of Managing Information Technology
dc.rightsCC BY 4.0
dc.subject.otherco-evolutionary coupling
dc.subject.otheruncaptured GDP
dc.subject.othertransformation
dc.subject.otherAmazon
dc.subject.otherFinland
dc.subject.otherdilemma between R&D and productivity
dc.titleCo-Evolutionary Coupling Between Captured and Uncaptured GDP Cycles : Cross Learning from Amazon and Finland Models for Sustainability
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-201910114404
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.description.reviewstatuspeerReviewed
dc.format.pagerange33-54
dc.relation.issn0975-5926
dc.relation.numberinseries2
dc.relation.volume11
dc.type.versionpublishedVersion
dc.rights.copyright© Authors, 2019
dc.rights.accesslevelopenAccessfi
dc.relation.grantnumber293446 AALTO YO
dc.subject.ysotutkimus- ja kehittämistoiminta
dc.subject.ysobruttokansantuote
dc.subject.ysotuottavuus
dc.subject.ysotieto- ja viestintätekniikka
dc.subject.ysouusi talous
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p2039
jyx.subject.urihttp://www.yso.fi/onto/yso/p12140
jyx.subject.urihttp://www.yso.fi/onto/yso/p4259
jyx.subject.urihttp://www.yso.fi/onto/yso/p20743
jyx.subject.urihttp://www.yso.fi/onto/yso/p11471
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.5121/ijmit.2019.11203
dc.relation.funderSuomen Akatemiafi
dc.relation.funderAcademy of Finlanden
jyx.fundingprogramStrategisen tutkimuksen ohjelmat STN, SAfi
jyx.fundingprogramStrategic research programmes, AoFen
jyx.fundinginformationThe research leading to these results is the part of a project: Platform Value Now: Value capturing in the fast emerging platform ecosystems, supported by the Strategic Research Council at the Academy of Finland [grant number 293446].


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