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Schmid, Isabel ; Wehner, Benjamin ; Leist, Susanne

Identifying Value-adding Users in Enterprise Social Networks

Schmid, Isabel, Wehner, Benjamin und Leist, Susanne (2022) Identifying Value-adding Users in Enterprise Social Networks. In: Proceedings of the 55th Hawaii International Conference on System Sciences | 2022, 2022, Hawaii. (Eingereicht)

Veröffentlichungsdatum dieses Volltextes: 28 Apr 2022 09:33
Konferenz- oder Workshop-Beitrag
DOI zum Zitieren dieses Dokuments: 10.5283/epub.52212


Zusammenfassung

Enterprise Social Networks (ESN) have been gaining increasing attention both in academia and practice. In previous works, different user types were identified in ESN. However, there is no clear definition of value-adding users, their characteristics and how this type of user can be identified. Based on a literature review, we show that value-adding users are defined in different ways in respect ...

Enterprise Social Networks (ESN) have been gaining increasing attention both in academia and practice. In previous works, different user types were identified in ESN. However, there is no clear definition of value-adding users, their characteristics and how this type of user can be identified. Based on a literature review, we show that value-adding users are defined in different ways in respect to different objectives, for example spreading knowledge, vivacity of the network or real-time feedback. Each of the value-adding users shows different characteristics that are allocated to the following dimensions: network structure, message, behavior, and social network affinity. Based on the objectives and characteristics, we conduct a single case study, analyze a dataset of a cooperating company, conduct several interviews, and thereby identify value-adding users with respect to objectives. So, we can show that our approach is applicable, useful and that it is a valuable means to take decisions.



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Details

DokumentenartKonferenz- oder Workshop-Beitrag (Paper)
Buchtitel:Proceedings of the 55th Hawaii International Conference on System Sciences
Seitenbereich:S. 3063-3073
Datum2022
InstitutionenWirtschaftswissenschaften > Institut für Wirtschaftsinformatik > Lehrstuhl für Wirtschaftsinformatik III - Business Engineering (Prof. Dr. Susanne Leist)
Informatik und Data Science > Fachbereich Wirtschaftsinformatik > Lehrstuhl für Wirtschaftsinformatik III - Business Engineering (Prof. Dr. Susanne Leist)
Identifikationsnummer
WertTyp
10.24251/HICSS.2022.377DOI
10125/79711Handle
Stichwörter / KeywordsDigital and Social Media in Enterprise esn user types value-adding users
Dewey-Dezimal-Klassifikation000 Informatik, Informationswissenschaft, allgemeine Werke > 004 Informatik
300 Sozialwissenschaften > 330 Wirtschaft
StatusEingereicht
BegutachtetJa, diese Version wurde begutachtet
An der Universität Regensburg entstandenJa
URN der UB Regensburgurn:nbn:de:bvb:355-epub-522128
Dokumenten-ID52212

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