IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v401y2025ipcs0306261925015661.html
   My bibliography  Save this article

Critical success factors for implementing self-powered wearable internet of things sensors in construction: A systematic literature review and conceptual framework

Author

Listed:
  • Huang, Yuxiang
  • Antwi-Afari, Maxwell Fordjour
  • Sun, Bochao
  • Liu, Jie

Abstract

With the advancement of wearable electronics, the material properties, energy systems, and applications of self-powered wearable Internet of Things (IoT) sensors (SWIoTs) have been developed and reviewed across various industries. However, no study has identified and categorized the critical success factors (CSFs) for implementing SWIoTs in construction or developed a conceptual framework for their adoption. This study presents a systematic literature review aimed at identifying CSFs, developing conceptual frameworks, and discussing potential applications, research gaps, and future directions. Following PRISMA guidelines, 339 journal articles from the Scopus database were analyzed to extract insights into publication trends, key journals, and research methodologies. The results identified 28 CSFs, categorized into five domains: (1) sensor materials and user comfort, (2) sensor structural design and topology, (3) sensor performance and functionality, (4) system integration and application, and (5) energy harvesting and power consumption. Two loop conceptual frameworks, the classification-based loop conceptual framework and the CSF-based loop conceptual framework, illustrate the interdependence among these CSFs. The potential applications of CSFs for SWIoTs include (1) structural health monitoring, (2) worker safety and human-centric monitoring, and (3) real-time machinery health monitoring. Three key research gaps were identified: (1) optimizing SWIoTs materials for biomechanical resilience and environmental adaptability, (2) advancing mission-critical energy harvesting for building energy systems, and (3) enhancing architecture-agnostic interoperability for large-scale deployment. Future research should focus on ergonomic SWIoTs design, durable and self-healing materials, hybrid energy harvesting, artificial intelligence (AI)-driven energy management, and scalable, interoperable sensor integration. This is the first study to systematically classify the CSFs and uncover the conceptual framework of SWIoTs in the construction industry, thereby contributing to a strategic-level roadmap for their implementation in construction.

Suggested Citation

  • Huang, Yuxiang & Antwi-Afari, Maxwell Fordjour & Sun, Bochao & Liu, Jie, 2025. "Critical success factors for implementing self-powered wearable internet of things sensors in construction: A systematic literature review and conceptual framework," Applied Energy, Elsevier, vol. 401(PC).
  • Handle: RePEc:eee:appene:v:401:y:2025:i:pc:s0306261925015661
    DOI: 10.1016/j.apenergy.2025.126836
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261925015661
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2025.126836?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:401:y:2025:i:pc:s0306261925015661. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.