Identifying knowledge brokers in enterprise social media

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorLeppälä, Miaen_US
dc.contributor.authorEspinosa, J. Albertoen_US
dc.contributor.departmentDepartment of Management Studiesen
dc.contributor.departmentSchool Common, BIZen
dc.contributor.editorBui, Tung X.en_US
dc.contributor.organizationAmerican Universityen_US
dc.date.accessioned2022-08-10T08:20:47Z
dc.date.available2022-08-10T08:20:47Z
dc.date.issued2020en_US
dc.descriptionPublisher Copyright: © 2020 IEEE Computer Society. All rights reserved.
dc.description.abstractKnowledge brokers act as a bridge between people and issues; they facilitate knowledge creation and sharing, and connect communities of practice. The extant literature has focused mostly on roles and network positions of knowledge brokers. This paper adds communicative actions to identifying these important actors. In the present study we develop and propose a method to identify knowledge brokering communication in an enterprise social media (ESM) platform. We posit that active knowledge brokers can be identified based on their generic social media communication. We use a large data set containing 124,015 messages among employees, and their network positions by social network analysis to identify knowledge brokers, and further analyze a sample of the communication content qualitatively. We argue that better understanding of the identification of knowledge brokering communication in a collaboration network can benefit employee assignments and help develop communication practices in ESM, leading to improved knowledge sharing and creation.en
dc.description.versionPeer revieweden
dc.format.extent10
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationLeppälä, M & Espinosa, J A 2020, Identifying knowledge brokers in enterprise social media. in T X Bui (ed.), Proceedings of the 53rd Annual Hawaii International Conference on System Sciences, HICSS 2020. Proceedings of the Annual Hawaii International Conference on System Sciences, vol. 2020-January, Hawaii International Conference on System Sciences, pp. 481-490, Annual Hawaii International Conference on System Sciences, Maui, Hawaii, United States, 07/01/2020. < http://hdl.handle.net/10125/63798 >en
dc.identifier.isbn9780998133133
dc.identifier.issn1530-1605
dc.identifier.otherPURE UUID: 76f45026-5814-4ad7-aaf2-e8aee9c4536aen_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/76f45026-5814-4ad7-aaf2-e8aee9c4536aen_US
dc.identifier.otherPURE LINK: http://hdl.handle.net/10125/63798
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/86471868/0048_1.pdf
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/115810
dc.identifier.urnURN:NBN:fi:aalto-202208104632
dc.language.isoenen
dc.relation.ispartofAnnual Hawaii International Conference on System Sciencesen
dc.relation.ispartofseriesProceedings of the 53rd Annual Hawaii International Conference on System Sciences, HICSS 2020en
dc.relation.ispartofseriespp. 481-490en
dc.relation.ispartofseriesProceedings of the Annual Hawaii International Conference on System Sciences ; Volume 2020-Januaryen
dc.rightsopenAccessen
dc.titleIdentifying knowledge brokers in enterprise social mediaen
dc.typeA4 Artikkeli konferenssijulkaisussafi
dc.type.versionpublishedVersion

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
0048_1.pdf
Size:
659.5 KB
Format:
Adobe Portable Document Format