Towards a big data-based technical customer service management

Autor(en): Özcan, D.
Fellmann, M.
Thomas, O. 
Herausgeber: Plodereder, E.
Grunske, L.
Ull, D.
Schneider, E.
Stichwörter: Customer satisfaction; Information use, Analytical method; Conceptual frameworks; Customer service management; Customer services; Degree of mobility; Product and service development; Service management; Service Quality, Big data
Erscheinungsdatum: 2014
Herausgeber: Gesellschaft fur Informatik (GI)
Journal: Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)
Volumen: P-232
Startseite: 187
Seitenende: 198
Zusammenfassung: 
The increasing use of Information Systems (IS) in diverse business sectors and the growing degree of mobility has changed the traditional use of Information Technologies (IT) in the economy. While Big Data is a current issue in the telecommunication and trade sector, high data intensity is also in the service sector given. Especially in the Technical Customer Service (TCS) area, a large variety of information and data exist that are needed for a service process or that result from them. In this paper, a conceptual framework for Big Data-based Service Management of the TCS is presented revealing opportunities and improvements for both product and service development. These opportunities lead to generating value from the use of large datasets and applying advanced analytical methods to increase efficiency and service quality. Finally, with the help of the framework an optimized Product-Service-Lifecylce Management is envisioned.
Beschreibung: 
Conference of 44. Jahrestagung der Gesellschaft fur Informatik INFORMATIK 2014 - Big Data - Komplexitat meistern - Big Data - Mastering Complexity: 44th Annual Meeting of the Society for Computer Science, INFORMATICS 2014 ; Conference Date: 22 September 2014 Through 26 September 2014; Conference Code:110425
ISBN: 9783885796268
ISSN: 16175468
Externe URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84922507315&partnerID=40&md5=4227865584c5124a1aa60176a5316961

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