Balancing Value Propositions with Privacy: Exploring Data-Driven Digital Wellness Business Models
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| Titel: | Balancing Value Propositions with Privacy: Exploring Data-Driven Digital Wellness Business Models |
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| Autoren: | Samuelsson, Peter, Larson, Mia, Professor, Davoudi, Sara |
| Quelle: | Service Innovation and Management: Digitalization, Service Infusion and Customer Experience Future of Business and Finance. :127-141 |
| Schlagwörter: | business models, consumer data, privacy, value propositions, Business Administration, Företagsekonomi |
| Beschreibung: | This chapter investigates the role of user data in creating value propositions within digital wellness business models and the implications for consumer privacy. We examine user agreements of seven such platforms/apps, exploring how consumer data are utilized to enhance customer experiences and generate profits, while addressing privacy concerns. The main findings reveal six value propositions derived from user data, which are further problematized in the discussion. By combining consumer data and privacy research with a business model perspective, this chapter provides insights for managers seeking to navigate the complexities of data-driven digital business models while respecting consumer privacy and integrity. |
| Dateibeschreibung: | |
| Zugangs-URL: | https://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-104003 https://doi.org/10.1007/978-3-031-76560-5_10 |
| Datenbank: | SwePub |
| Abstract: | This chapter investigates the role of user data in creating value propositions within digital wellness business models and the implications for consumer privacy. We examine user agreements of seven such platforms/apps, exploring how consumer data are utilized to enhance customer experiences and generate profits, while addressing privacy concerns. The main findings reveal six value propositions derived from user data, which are further problematized in the discussion. By combining consumer data and privacy research with a business model perspective, this chapter provides insights for managers seeking to navigate the complexities of data-driven digital business models while respecting consumer privacy and integrity. |
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| DOI: | 10.1007/978-3-031-76560-5_10 |
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