Titelangaben
Kleindienst, Dominikus ; Nüske, Niclas ; Rau, Daniel ; Schmied, Fabian:
Beyond Mere Compliance : Delighting Customers by Implementing Data Privacy Measures?
In:
Proceedings of the 13th International Conference on Wirtschaftsinformatik (WI). -
St. Gallen, Switzerland
,
2017
Angaben zu Projekten
Projekttitel: |
Offizieller Projekttitel Projekt-ID Projektgruppe WI Customer Relationship Management Ohne Angabe |
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Abstract
The importance of customer data for business models is increasing, as is the relevance of customers’ concerns regarding privacy aspects. To prevent data privacy incidents and to mitigate the associated risks, companies need to implement appropriate measures. Furthermore, it is unclear whether their implementation – beyond mere compliance – has the potential to actually delight customers and yields competitive advantages. In this paper, we derive specific measures to deal with customers’ data privacy concerns based on the literature, legislative texts, and expert interviews. Next, we leverage the Kano model via an Internet-based survey to analyze the measures’ evaluation by customers. As a result, most measures are considered basic needs of must-be quality. Their implementation is obligatory and is not rewarded by customers. However, delighters of attractive quality do exist and have the potential to create a competitive advantage.
Weitere Angaben
Publikationsform: | Aufsatz in einem Buch |
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Begutachteter Beitrag: | Ja |
Keywords: | Data Privacy; Customer Satisfaction; Kano Model |
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 > 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: | 09 Jan 2018 08:03 |
Letzte Änderung: | 08 Jun 2022 06:18 |
URI: | https://eref.uni-bayreuth.de/id/eprint/41558 |