Abstract
The pervasive infiltration of digital technology into physical products fundamentally changes the requirements regarding the design of physical products and their potential for service innovation. To effectively leverage the generative capacity of digitized industrial products in future smart service offerings, proper design decisions must be made when designing today’s products. The purpose of this paper is to report on a 2.5-year action design research project with an industrial forklift manufacturer, a software company, and an IoT consultancy. I elicit meta-requirements of digitized products arising from the industrial service business and derive design principles for digitized industrial products. This work empowers researchers to better understand the importance of generative product design to enable opportunities to innovative services. For managers, this work provides a blueprint for the design of digitized industrial products and raises awareness for generative product design in the digital age.
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Notes
- 1.
Kibana is a state-of-the-art open source data visualization tool for Elasticsearch. It provides visualization capabilities on top of the content indexed on an Elasticsearch cluster.
- 2.
The lambda architecture is a data-processing architecture to manage massive amounts of operational product data in an effective way. It distinguishes between a batch layer and a speed layer combining the advantages of both processing designs.
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Acknowledgements
This work has been supported by the Swiss National Science Foundation (SNSF). I furthermore would like to thank the project partners and member organizations of the Competence Center Industrial Services and Enterprise Systems (CC ISES) at the Institute for Information Management (IWI-HSG) at University of St. Gallen and Michael Spori for his valuable support throughout this ADR project.
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Herterich, M.M. (2017). On the Design of Digitized Industrial Products as Key Resources of Service Platforms for Industrial Service Innovation. In: Maedche, A., vom Brocke, J., Hevner, A. (eds) Designing the Digital Transformation. DESRIST 2017. Lecture Notes in Computer Science(), vol 10243. Springer, Cham. https://doi.org/10.1007/978-3-319-59144-5_22
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