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
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: print
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
Beschreibung
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.
DOI:10.1007/978-3-031-76560-5_10