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A taxonomy and archetypes of smart services for smart living

Author

Listed:
  • Marcus Fischer

    (University of Würzburg)

  • David Heim

    (University of Würzburg)

  • Adrian Hofmann

    (University of Würzburg)

  • Christian Janiesch

    (University of Würzburg
    Technische Universität Dresden)

  • Christoph Klima

    (University of Würzburg
    PUMA SE)

  • Axel Winkelmann

    (University of Würzburg)

Abstract

Smart service integrates digital and physical competencies for automated service delivery in smart service systems to co-create value. Smart services envelop digital services delivered through smart products. The latter act as boundary objects to the consumer. Smart services are capable of learning, adapting, and decision-making based on communicated data through self-controlled functions. Due to the multidisciplinary discourse, there is a knowledge gap concerning common ground for central concepts, the transformative potential of smart products as well as evidence-based design knowledge derived from real-world services. In this paper, we apply conceptual research and data analysis to construct a taxonomy that supplies this common ground for smart service. The resulting taxonomy comprises 8 dimensions with 20 characteristics. Based on an empirical analysis of 100 smart services from the smart living sector, we performed a cluster analysis to derive five archetypes that classifies smart service as either monitor, command execution, diagnostics and automation, personal tracker, or trainable assistant using smart products as boundary objects for distinct purposes.

Suggested Citation

  • Marcus Fischer & David Heim & Adrian Hofmann & Christian Janiesch & Christoph Klima & Axel Winkelmann, 2020. "A taxonomy and archetypes of smart services for smart living," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(1), pages 131-149, March.
    • Handle: RePEc:spr:elmark:v:30:y:2020:i:1:d:10.1007_s12525-019-00384-5
    DOI: 10.1007/s12525-019-00384-5
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    References listed on IDEAS

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    Cited by:

    1. Henkens, Bieke & Verleye, Katrien & Larivière, Bart, 2021. "The smarter, the better?! Customer well-being, engagement, and perceptions in smart service systems," International Journal of Research in Marketing, Elsevier, vol. 38(2), pages 425-447.
    2. Christian Janiesch & Patrick Zschech & Kai Heinrich, 2021. "Machine learning and deep learning," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(3), pages 685-695, September.
    3. Valerie Graf-Drasch & Maximilian Röglinger & Annette Wenninger & Sabiölla Hosseini, 2022. "A Contextualized Acceptance Model for Proactive Smart Services," Schmalenbach Journal of Business Research, Springer, vol. 74(3), pages 345-387, September.
    4. Rainer Alt, 2021. "Electronic Markets on platform complexity," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(4), pages 737-742, December.
    5. Radosław Malik & Anna Visvizi & Orlando Troisi & Mara Grimaldi, 2022. "Smart Services in Smart Cities: Insights from Science Mapping Analysis," Sustainability, MDPI, vol. 14(11), pages 1-16, May.
    6. Michel Muschkiet & Tobias Wulfert & Robert Woroch & Gero Strobel & Leonardo Banh, 2023. "Unleashing the digital building bricks," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-22, December.

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    More about this item

    Keywords

    Smart service; Smart service system; Internet of Things; Taxonomy; Archetype; Smart living;
    All these keywords.

    JEL classification:

    • L8 - Industrial Organization - - Industry Studies: Services
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights

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