Titelangaben
Kauschinger, Martin ; Letner, Albert ; Schreieck, Maximilian ; Urbach, Nils ; Böhm, Markus ; Krcmar, Helmut:
Individual Enterprise Social Network Adoption : The Influence of Perceived Network Externalities and Perceived Social Capital Advantage.
In:
Proceedings of the 17th International Conference on Wirtschaftsinformatik (WI). -
Nuremberg, Germany
,
2022
Weitere URLs
Abstract
Empirical evidence indicates that Enterprise Social Networks facilitate intra-organizational knowledge sharing. While organizations continue to invest in Enterprise Social Networks, many implementation projects fail due to insufficient user adoption. Against this background, this paper investigates factors that influence individuals’ adoption of Enterprise Social Networks. We thoroughly reviewed the existing literature and crafted a comprehensive adoption model. Besides commonly known adoption factors, we introduce perceived network externalities and perceived social capital advantage to account for the specific context of Enterprise Social Networks. We tested our model using structural equation modeling and empirical survey data of 155 respondents. Our results show that perceived network externalities are by far the strongest predictor for enterprise social network adoption, followed by perceived enjoyment and perceived social capital advantage. In contrast to other studies, we find perceived usefulness and perceived ease of use to be insignificant.
Weitere Angaben
Publikationsform: | Aufsatz in einem Buch |
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Begutachteter Beitrag: | Ja |
Keywords: | Enterprise Social Networks; Technology Adoption; Structural Equation Modeling; Network Effects; Collaboration |
Institutionen der Universität: | Fakultäten > Rechts- und Wirtschaftswissenschaftliche Fakultät > Fachgruppe Betriebswirtschaftslehre Forschungseinrichtungen Forschungseinrichtungen > Institute in Verbindung mit der Universität Forschungseinrichtungen > Institute in Verbindung mit der Universität > Institutsteil Wirtschaftsinformatik des Fraunhofer FIT Forschungseinrichtungen > Institute in Verbindung mit der Universität > FIM Forschungsinstitut für Informationsmanagement |
Titel an der UBT entstanden: | Nein |
Themengebiete aus DDC: | 000 Informatik,Informationswissenschaft, allgemeine Werke > 004 Informatik 300 Sozialwissenschaften > 330 Wirtschaft |
Eingestellt am: | 04 Dec 2024 09:00 |
Letzte Änderung: | 04 Dec 2024 09:23 |
URI: | https://eref.uni-bayreuth.de/id/eprint/91318 |