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Aspects of Body Metrics Data Management in the Long Term for the European Fitness Industry

Published online by Cambridge University Press:  26 July 2019

Benjamin-Julia Guérineau*
Affiliation:
Laboratoire Roberval, FRE UTC-CNRS 2012, Sorbonne Universités, Université de technologie Compiègne; Laboratoire Numérix, École de technologie supérieure de Montréal;
Kousay Samir
Affiliation:
KTH Royal Institute of Technology, Department of Production Engineering;
Marvin Richrath
Affiliation:
Institut für integrierte Produktentwicklung (BIK), Universität Bremen;
Kristin Paetzold
Affiliation:
Universität der Bundeswehr München, Fakultät für Luft- und Raumfahrt, Institut für Technische Produktentwicklung
Joaquin Montero
Affiliation:
Universität der Bundeswehr München, Fakultät für Luft- und Raumfahrt, Institut für Technische Produktentwicklung
*
Contact: Guérineau, Benjamin-Julia, Sorbonne Universités, Université de technologie Compiègne, Ingénierie Mécanique, Canada, benjamin.guerineau@utc.fr

Abstract

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The dawn of the fourth industrial revolution, mostly known through the German initiative “Industrie 4.0”, builds on a set of technologies emerging from software and information and communication technologies (ICT); paired with the growth of the Internet-of-Things (IoT), the so-called “smart products” are expanding on the market. These smart products integrate data collection and processing capacities. Additionally, the collected data have their own lifecycle, and can be classified as sensitive data. In that sense, companies developing hardware products may need support to step in “smart products” development. Digital transformation strategy is a possible overall support for companies. However, regarding smart product development and IoT data management, no studies to date have addressed formalized guidelines to support companies. This article proposes a set of guidelines focusing on IoT data management to support hardware companies in their transformation towards smart products. The proposed guidelines are exemplified on a fitness industry case which is using wearable devices collecting body metrics, considered as sensitive data.

Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
© The Author(s) 2019

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