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Smart Dust for Smart(er) Industrial Product-Service-Systems: Three Strategies and Their Application

In: Smart Services Summit

Author

Listed:
  • Manuel Holler

    (Zurich University of Applied Sciences)

  • Benjamin Giffen

    (University of St. Gallen)

  • Linard Barth

    (Zurich University of Applied Sciences)

  • Rainer Fuchs

    (Zurich University of Applied Sciences)

Abstract

The nascent technology of smart dust—miniaturized sensor networks—promises high value to advance industrial product-service-systems. While previous studies have identified smart dust as source for product and service innovation, the pathways from an initial offering to smart dust-enhanced product-service-systems have received scant attention. The present work in the scope of a Swiss National Science Foundation project on the economic potentials of this technology aims to conceptualize and apply strategies for smart dust-enhanced product-service-systems. This conceptual research resulted in the three pathways (1) product-driven strategy, (2) service-driven strategy and (3) holistic strategy which could be successfully mapped to the use case “Monitoring of structures“. In closing, this emerging technology helps to make industrial product-service-systems more customer- and user-oriented as called by recent voices. To science, we introduce smart dust in the field of product-service-systems and offer a first systemization of pathways, thus contribute to the product-service-systems engineering knowledge base. To practice, we provide useful approaches to be applied at a strategy level to push the servitization in manufacturing forward.

Suggested Citation

  • Manuel Holler & Benjamin Giffen & Linard Barth & Rainer Fuchs, 2021. "Smart Dust for Smart(er) Industrial Product-Service-Systems: Three Strategies and Their Application," Progress in IS, in: Shaun West & Jürg Meierhofer & Christopher Ganz (ed.), Smart Services Summit, pages 15-20, Springer.
  • Handle: RePEc:spr:prochp:978-3-030-72090-2_2
    DOI: 10.1007/978-3-030-72090-2_2
    as

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