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dc.contributor.authorBjerkan, Kristin Ystmark
dc.contributor.authorRyghaug, Marianne
dc.date.accessioned2021-02-15T10:43:39Z
dc.date.available2021-02-15T10:43:39Z
dc.date.created2021-01-26T12:21:18Z
dc.date.issued2021
dc.identifier.issn0040-1625
dc.identifier.urihttps://hdl.handle.net/11250/2728028
dc.description.abstractTo counter climate change, societies are under pressure to transform energy and transport sectors. Considering the crucial node position of ports in the intersection between energy and transport systems and their connecting of numerous sectors, markets, and values chains, they have hitherto received surprisingly little attention as potential sites for whole system thinking and deep transition. Their heterogeneity suggests that ports are likely to follow different transition pathways. This study explores two Norwegian frontrunner ports to demonstrate how social processes are part of the fabric that constitutes transition pathways in ports. The transition pathways in the two ports diverge according to how they are shaped by deep learning, resource capacity and the collective action of their wider networks, as well as the specificity of expectations. The study complements existing research on transition pathways by focusing on social processes beyond the niche level and by suggesting inter-process and inter-level dynamics to be decisive for the direction of transition work. Contrary to earlier findings, the paper demonstrates how broad and diversified networks may also represent a challenge to the directionality of transitions work. Ports can, however, promote transition work by aligning expectations to port sustainability with expectations in specific value chains.en_US
dc.language.isoeng
dc.publisherElsevier
dc.rightsCC BY 4.0
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectExpectations
dc.subjectLearning
dc.subjectNetworks
dc.subjectPort
dc.subjectSustainability transition
dc.titleDiverging pathways to port sustainability: How social processes shape and direct transition work
dc.typePeer reviewed
dc.typeJournal article
dc.description.versionpublishedVersion
dc.rights.holder© 2021 The Authors
dc.subject.nsiVDP::Teknologi: 500
dc.source.volume166
dc.source.journalTechnological Forecasting and Social Change
dc.identifier.doi10.1016/j.techfore.2021.120595
dc.identifier.cristin1879530
dc.relation.projectNorges forskningsråd: 281002
dc.source.articlenumber120595
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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