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A Systems Thinking Approach to Data-Driven Product Development

Published online by Cambridge University Press:  26 May 2022

T. Langen ,
K. Falk  and
M. Mansouri
T. Langen*
Affiliation:
University of South-Eastern Norway, Norway
K. Falk
Affiliation:
University of South-Eastern Norway, Norway
M. Mansouri
Affiliation:
University of South-Eastern Norway, Norway
*
tommy.langen@usn.no

Abstract

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The amount of information in our society and its opportunities have given rise to Big Data research. The systems supplier industry needs suitable tools and methods to ensure the harvest and utilization of Big Data in their product development. This paper used Systems Thinking to analyze the current state in the industry and suggested leverage points for further research direction. The findings suggest that the research project should emphasize the industry cases, the collaboration between the companies and academia, develop a Big Data systems architecture, and maintain a socio-technical view.

Keywords

product developmentsocio-technical systemsbig data analysissystems thinkingsystemigram

Information

Type
Article
Information
Proceedings of the Design Society , Volume 2: DESIGN2022 , May 2022 , pp. 1915 - 1924
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), 2022.

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