Publication:
An adaptive self-modeling network model for multilevel organizational learning

dc.contributor.coauthorTreur, Jan
dc.contributor.coauthorRoelofsma, Peter
dc.contributor.departmentDepartment of Computer Engineering
dc.contributor.kuauthorCanbaloğlu, Gülay
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.date.accessioned2024-11-09T22:59:01Z
dc.date.issued2023
dc.description.abstractMultilevel organizational learning concerns an interplay of different types of learning at individual, team, and organizational levels. These processes use complex dynamic and adaptive mechanisms. A second-order adaptive network model for this is introduced here and illustrated.
dc.description.indexedbyScopus
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.description.volume448
dc.identifier.doi10.1007/978-981-19-1610-6_16
dc.identifier.isbn978--9811-9160-9-0
dc.identifier.issn2367-3370
dc.identifier.scopus2-s2.0-85135879484
dc.identifier.urihttps://doi.org/10.1007/978-981-19-1610-6_16
dc.identifier.urihttps://hdl.handle.net/20.500.14288/7820
dc.keywordsAdaptive network model
dc.keywordsMultilevel organizational learning
dc.keywordsSelf-model
dc.language.isoeng
dc.publisherSpringer Nature
dc.relation.ispartofLecture Notes in Networks and Systems
dc.subjectComputer sciences
dc.titleAn adaptive self-modeling network model for multilevel organizational learning
dc.typeConference Proceeding
dspace.entity.typePublication
local.contributor.kuauthorCanbaloğlu, Gülay
local.publication.orgunit1College of Engineering
local.publication.orgunit2Department of Computer Engineering
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relation.isOrgUnitOfPublication.latestForDiscovery89352e43-bf09-4ef4-82f6-6f9d0174ebae
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