Literatur vom gleichen Autor/der gleichen Autor*in
plus bei Google Scholar

Bibliografische Daten exportieren
 

Stimulating User Activity on Company Fan Pages in Online Social Networks

Titelangaben

Huber, Johannes ; Landherr, Andrea ; Probst, Florian ; Reisser, Christian:
Stimulating User Activity on Company Fan Pages in Online Social Networks.
In: Proceedings of the 20th European Conference on Information Systems (ECIS 2012), Barcelona, Spain, June 10 - 13, 2012. - s.l. : Association for Information Systems , 2012 . - 12 S.
ISBN 978-84-88971-54-8

Volltext

Link zum Volltext (externe URL): Volltext

Abstract

Due to the popularity and intensive usage of Online Social Networks, more and more companies try to get in touch with existing as well as potential customers and to market their brands and products within these networks. Especially Facebook provides an extensive user base and the opportunity to implement fan pages, which allow companies to leverage a broad range of technical features and media types to interact with users. However, the success of company fan pages varies and is by far not guaranteed. Therefore, it is necessary to measure whether a company’s efforts to stimulate user activity on fan pages are successful or not. Hence, we deduce and hypothesize factors influencing the number of active users on fan pages and take different technical features and media types companies can use into account. To test our hypotheses empirically, we draw on publicly and non-publicly available data of a global insurance company’s fan page within Facebook. The results suggest that based on the number of current fans companies can particularly stimulate user activity and engagement by using company wallposts with its different media types as well as by commenting on already existing wallposts. Finally, both theoretical and practical implications are discussed.

Weitere Angaben

Publikationsform: Aufsatz in einem Buch
Begutachteter Beitrag: Ja
Keywords: Online Social Networks; Facebook; Fan page; User activity; Multiple linear regression analysis
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 > Projektgruppe Wirtschaftsinformatik der Fraunhofer FIT
Forschungseinrichtungen > Institute in Verbindung mit der Universität > FIM Kernkompetenzzentrum Finanz- & Informationsmanagement
Fakultäten
Fakultäten > Rechts- und Wirtschaftswissenschaftliche Fakultät
Titel an der UBT entstanden: Nein
Themengebiete aus DDC: 000 Informatik,Informationswissenschaft, allgemeine Werke > 004 Informatik
300 Sozialwissenschaften > 330 Wirtschaft
Eingestellt am: 13 Mär 2019 11:16
Letzte Änderung: 13 Apr 2022 06:52
URI: https://eref.uni-bayreuth.de/id/eprint/47967