A case study on the implementation of location tracking technologies for productivity monitoring: understanding workers’ acceptance and socio-technical implications
Author(s): |
Danny Murguia
Alonso Urbina Jianyu Zhao Kwadwo Oti-Sarpong Olli Seppänen Xavier Brioso |
---|---|
Medium: | journal article |
Language(s): | English |
Published in: | Frontiers in Built Environment, February 2023, v. 9 |
DOI: | 10.3389/fbuil.2023.1336280 |
Abstract: |
Automated real-time data collection is becoming more prevalent in construction, with workers’ location data being a pivotal component in detecting poor logistics and inefficient construction flows. However, the collection of location data for productivity monitoring raises significant concerns about privacy and wellbeing implications for workers. Implementing such technological solutions requires an understanding of how humans may respond to sensor-based automated data collection, making this a socio-technical issue. This study identifies the drivers of construction workers’ acceptance of radio-based location tracking technology for productivity measurement using a modified Technology Acceptance Model (TAM) and offers a sociotechnical understanding of technology acceptance with implications for managing how new technologies are introduced on construction projects. Using a large residential project in Lima, Peru as a case study, construction workers were monitored using Bluetooth Low Energy (BLE) technology, and data were gathered using mixed methods. A k-means clustering analysis showed two forms of acceptance among workers: supporters (37%) and |
- About this
data sheet - Reference-ID
10761395 - Published on:
23/03/2024 - Last updated on:
23/03/2024