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Soft Data Analytics with Fuzzy Cognitive Maps: Modeling Health Technology Adoption by Elderly Women

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Advanced Data Analytics in Health

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 93))

Abstract

Modeling how patients adopt personal health technology is a challenging problem: Decision-making processes are largely unknown, occur in complex, multi-stakeholder settings, and may play out differently for different products and users. To address this problem, this chapter develops a soft analytics approach, based on Fuzzy Cognitive Maps (FCM) that leads to adoption models that are specific for a particular product and group of adopters. Its empirical grounding is provided by a case study, in which a group of women decides whether to adopt a wearable remote healthcare monitoring device. The adoption model can simulate different product configurations and levels of support and provide insight as to what scenarios will most likely lead to successful adoption. The model can be used by product developers and rollout managers to support technology planning decisions.

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Notes

  1. 1.

    Detail research material can be found on OSF website (Springer Chapter book: Rahimi et al.): https://osf.io/hp7r2/

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Author information

Authors and Affiliations

  1. Department of Engineering and Technology Management, Portland State University, Portland, OR, USA

    Noshad Rahimi, Antonie J. Jetter & Charles M. Weber

  2. Oregon Center for Aging & Technology, Oregon Health & Science University, Portland, OR, USA

    Katherine Wild

Authors
  1. Noshad Rahimi
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  2. Antonie J. Jetter
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  3. Charles M. Weber
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  4. Katherine Wild
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Corresponding author

Correspondence to Noshad Rahimi .

Editor information

Editors and Affiliations

  1. Computer Science Department, Furman University, Greenville, South Carolina, USA

    Philippe J. Giabbanelli

  2. Department of Computer Science, Lakehead University, Thunder Bay, Ontario, Canada

    Vijay K. Mago

  3. Department of Computer Engineering, Technological Educational Institute, Lamia, Greece

    Elpiniki I. Papageorgiou

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Rahimi, N., Jetter, A.J., Weber, C.M., Wild, K. (2018). Soft Data Analytics with Fuzzy Cognitive Maps: Modeling Health Technology Adoption by Elderly Women. In: Giabbanelli, P., Mago, V., Papageorgiou, E. (eds) Advanced Data Analytics in Health. Smart Innovation, Systems and Technologies, vol 93. Springer, Cham. https://doi.org/10.1007/978-3-319-77911-9_4

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  • DOI: https://doi.org/10.1007/978-3-319-77911-9_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-77910-2

  • Online ISBN: 978-3-319-77911-9

  • eBook Packages: EngineeringEngineering (R0)

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