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  4. Data-driven business and data privacy: Challenges and measures for product-based companies
 
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2023
Journal Article
Title

Data-driven business and data privacy: Challenges and measures for product-based companies

Abstract
To leverage the opportunities provided by the Internet of Things (IoT), product-based companies are exploring new data-driven business opportunities. They may miss these same opportunities, however, owing to data-privacy challenges. These challenges start with the customers of product-based companies, extend to the wider business ecosystem, and continue with the companies themselves. This article identifies 12 data-privacy challenges and introduces 12 measures to address them. These include intuitive recommendations, such as enabling cross-product consent collection, as well as less intuitive measures, such as fostering a can-do attitude in legal units, closing the gap between legal and business initiatives, or implementing a clear process for well-reasoned risk-taking. The following four principles were found to support companies in implementing these measures: (1) letting privacy and data-driven business go hand in hand, (2) putting customers first and turning their privacy preferences into opportunities, (3) aligning risk-management activities with the process of digital service development, and (4) using technology to professionalize legal processes.
Author(s)
Schäfer, Fabian J.
Gebauer-Drechsel, Heiko  
Fraunhofer-Zentrum für Internationales Management und Wissensökonomie IMW  
Gröger, Christoph
Gassmann, Oliver
Wortmann, Felix
Journal
Business horizons  
Open Access
DOI
10.1016/j.bushor.2022.10.002
Language
English
Fraunhofer-Zentrum für Internationales Management und Wissensökonomie IMW  
Keyword(s)
  • Data-driven business

  • Data privacy

  • Digital services

  • Risk management

  • Privacy principles

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