A case study on the implementation of location tracking technologies for productivity monitoring: understanding workers’ acceptance and socio-technical implications

IF 2.2 Q2 CONSTRUCTION & BUILDING TECHNOLOGY Frontiers in Built Environment Pub Date : 2024-01-09 DOI:10.3389/fbuil.2023.1336280
Danny Murguia, Alonso Urbina, Jianyu Zhao, Kwadwo Oti-Sarpong, Olli Seppänen, X. Brioso
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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 acceptance with reservations (63%). Partial least squares Structural Equation Modelling (PLS-SEM) results showed that perceived usefulness and perceived stress underpinned workers’ attitudes and intention to accept the technology. Perceived privacy risk, however, emerged as the sole most significant predictor at the end of the monitoring process. Findings further suggest that workers’ acceptance of the technology is influenced by the perception that it is also beneficial for safety management. Building on the preceding, the paper highlights the need for employee orientation focused on addressing perceived privacy concerns by leveraging positive perceptions about using monitoring technologies for improving onsite safety, logistics and productivity. This requires management of construction firms to develop narratives that reflect their goals for rolling out technologies in ways that ensure workers’ buy-in, and a re-focus on problem framing and collective approaches to identifying functional and less intrusive forms of monitoring technologies.
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位置跟踪技术用于生产力监测的案例研究:了解工人的接受程度和社会技术影响
自动化实时数据收集在建筑业越来越普遍,工人的位置数据是检测物流不畅和施工流程效率低下的关键组成部分。然而,为监测生产率而收集位置数据会引发对工人隐私和福利影响的严重关切。实施此类技术解决方案需要了解人类如何应对基于传感器的自动数据收集,因此这是一个社会技术问题。本研究采用修改后的技术接受模型(TAM),确定了建筑工人接受基于无线电定位跟踪技术进行生产率测量的驱动因素,并提供了对技术接受的社会技术理解,这对管理如何在建筑项目中引入新技术具有重要意义。以秘鲁利马的一个大型住宅项目为案例,使用蓝牙低功耗(BLE)技术对建筑工人进行监控,并采用混合方法收集数据。k-means 聚类分析显示,工人的接受程度有两种形式:支持(37%)和有保留地接受(63%)。偏最小二乘法结构方程模型(PLS-SEM)结果显示,感知有用性和感知压力是工人接受该技术的态度和意向的基础。然而,在监测过程结束时,感知到的隐私风险成为唯一最重要的预测因素。研究结果进一步表明,工人对该技术的接受程度受到该技术也有利于安全管理这一观念的影响。在前文的基础上,本文强调有必要对员工进行引导,重点是利用他们对使用监控技术改善现场安全、物流和生产率的积极看法,解决他们对隐私的担忧。这就要求建筑公司的管理层制定相关说明,以确保工人接受的方式反映其推出技术的目标,并重新关注问题框架和集体方法,以确定功能性和侵入性较低的监控技术形式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Frontiers in Built Environment
Frontiers in Built Environment Social Sciences-Urban Studies
CiteScore
4.80
自引率
6.70%
发文量
266
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