| Literature DB >> 35055668 |
Reneiloe Malomane1, Innocent Musonda1, Chioma Sylvia Okoro2.
Abstract
The fourth industrial revolution (4iR) technologies offer an opportunity for the construction industry to improve health and safety (H&S) compliance. Therefore, implementing the technologies is of top priority to improve the endless H&S incidents in construction projects, which lead to poor quality of work, late project delivery, and increased labour injury claims. Central to improving the nature of work and other industrial processes, the 4iR technologies have emerged. Concurrent with this trend is the importance of 4iR technologies in enhancing health and safety performance on construction sites. However, the implementation of 4iR technologies in the construction industry is faced with various challenges. Therefore, this paper reports on a study aimed at examining the challenges associated with implementing 4iR technologies in the construction sector in South Africa towards effective management of H&S. The study followed a systematic literature review, data collection using a questionnaire survey and thereafter, descriptive, and inferential analyses were conducted. The findings revealed that the implementation of 4iR technologies is challenged by a lack of adequate relevant skills, the unavailability of training capacities, expensive technologies, and negative perceptions such as fear of job loss by industry professionals. The findings are essential for the advancement of H&S research and implementation. In addition, the findings are important to industry decision-makers in order to elevate their awareness and promote the use of 4iR technologies to manage construction activities. The study implications include the need for the construction industry to collaborate with higher education institutions to conduct research and include 4iR in the curriculum.Entities:
Keywords: 4iR; awareness; challenges; fourth industrial revolution; health and safety; innovation; innovations 4.0; opportunities; strategies; technologies
Mesh:
Year: 2022 PMID: 35055668 PMCID: PMC8776243 DOI: 10.3390/ijerph19020846
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
The Available Technologies.
| Technologies | Description/Function | Source |
|---|---|---|
| Radio Frequency Identification (RFID) | This comprises tags and readers system used to detect, alarm and transfer data using a wireless. This technology is used on humans and equipment on site to ensure that they are working in a safe environment | Osunsanmi, Oke and Aigbavboa [ |
| Building Information Modelling (BIM) | Optimizes the integration of design, procurement, construction, end of use of building and structures. The technology is used during the pre-planning of site safety management to identify possible hazards which may arise during construction, and suggest solutions. During construction, BIM works as a semi-automatic technology that helps check multiple safety regulation and safety plan, detecting any clashes to ensure good safety performance is managed. | Smallwood, Emuze and Allen [ |
| Artificial Intelligence (AI) | A technology that can replace humans, operating through computer techniques monitoring and controlling the safety of the workers, equipment, and the structure. The technology works faster than humans, and monitors and manages site H&S with urgency. | Niu et al., [ |
| Third Dimensional (3D) Printing | A technology that automates the building of structures while creating a less hazardous environment. | Alhumayani, Gomaa, Soebarto and Jabi [ |
| Robotics | Automates construction works, creates less hazardous zones and greater visibility of the site and performs tasks that are even difficult to humans. Robotics help in mitigating human injuries and decreasing accidents on-site. | Llale, Setati, Mavunda, Ndlovu, Root and Wembe [ |
| Sensors | Analyzes measurements of health monitoring through centralized real-time information reporting. Sensing reduces construction safety fatalities by alarming workers of risks within their zones. | Hanus and Harris [ |
| Ultra-Wide Band (UWB) | Uses three or more receivers positioned at the area to be monitored to detect anything that could cause safety issues at the workplace. | Jiang, Skibniewski, Yuan, Sun and Lu [ |
| The Internet of Things (IOT) | Helps with the H&S management processes from the initial stage and during construction by providing automated H&S training and monitoring of humans and site vehicles and plants. | Tang, Shelden, Eastman, Pishdad-Bozorgi and Gao [ |
| Smart Devices | Are tools attached on humans and plants, detecting possible hazards, monitoring their movements, computing the data and sounding alarms when nearing dangerous zones or objects. | Niu et al., [ |
| Geographical Information System (GIS) | Collects the geographic distribution of onsite works using spatial relations, creating a protocol that results in ease of H&S management. | Fenais, Ariaratnam, Ayer and Smilovsky [ |
| Drones | Captures through video big data from lower ground level to the highest heights of a construction site providing real-time movement of the works, detecting possible safety risks and providing feedback via audio communication. Further, this technology is used for the inspection of safety and wellbeing of humans and plants at the workplace. | Gheisari and Esmaeili [ |
| Virtual Reality (VR) | Is applied as an automated H&S training providing visualization of real-time detection of hazards, and enhancing knowledge on safety management. | Zhou, Whyte and Sacks [ |
| Four-Dimensional Computer Aided Design (4D CAD) | The information about the project activities is inserted in this technology. The information is then analysed, detect any possible risks and generate a safety management plan at the design stage. | Zhou, Whyte and Sacks [ |
| Global Navigation Satellite System (GNSS) | Provides real-time monitoring of data of a large population from geosynchronous satellites, ensuring easy control and management of workplace safety. | Fenais, Ariaratnam, Ayer and Smilovsky [ |
| Global positing system (GPS) | A positioning tool that uses wireless to track works and detect collision. It works as a security safeguard machinery in a robotic construction. | Li, Cheng and Chen [ |
Existing Opportunities.
| The 4ir Technologies Opportunities Existing in the Construction Industry to Manage H&S |
| σX | R |
|---|---|---|---|
| Better Information management | 4.21 | 1.00 | 1 |
| Improved workflow | 4.20 | 0.98 | 2 |
| Improved safety inspections | 4.16 | 1.00 | 3 |
| Better accountability | 4.14 | 0.91 | 4 |
| Preventing accident | 4.13 | 0.97 | 5 |
| Better reporting | 4.10 | 1.05 | 6 |
| Improve in controlling and monitoring | 4.09 | 1.02 | 7 |
| Create greater visibility | 4.09 | 0.85 | 7 |
| Better collection of data platform | 4.09 | 1.07 | 7 |
| Decreasing fatalities | 4.08 | 1.11 | 8 |
| Better communication | 4.06 | 1.09 | 9 |
| Reduce injuries | 4.02 | 1.03 | 10 |
| More time to solve more difficult issues | 3.98 | 0.93 | 11 |
| Construction gains sustainability | 3.90 | 1.04 | 12 |
| Saves on cost | 3.47 | 1.30 | 13 |
= Mean item score; σX = Standard deviation; R = Rank.
Measures of Sampling Adequacy.
| Measures of Sampling Adequacy | ||
|---|---|---|
| Kaiser-Meyer-Olkin | 0.82 | |
| Bartlett’s Test of Sphericity | Approx. Chi-Square | 879,900 |
| df | 105 | |
| Sig. | 0.000 |
Total Variance Explained.
| Component | Initial Eigenvalues | Extraction Sums of Squared Loadings | ||||
|---|---|---|---|---|---|---|
| Total | % of Variance | Cumulative % | Total | % of Variance | Cumulative % | |
| 1 |
| 50.69 | 32.082 | 6.096 |
| 50.69 |
| 2 |
| 9.57 | 42.471 | 1.974 |
| 60.26 |
| 3 |
| 7.01 | 51.504 | 1.716 |
|
|
| 5 | 0.935 | 6.23 | 64.069 | |||
| 6 | 0.845 | 5.64 | 68.913 | |||
Extraction Method: Principal Component Analysis. Values in bold represent the four components retained and their variance.
Figure 1Scree plot for Opportunities.
Pattern Matrix.
| Component | |||
|---|---|---|---|
| 1 | 2 | 3 | |
| Construction gains sustainability | 0.91 | ||
| Decreases fatalities | 0.793 | ||
| Reduce injuries | 0.705 | ||
| Improve workflow | 0.701 | ||
| Better collection of data platform | 0.685 | ||
| Improved safety inspections | 0,.657 | ||
| Better Information management | 0.632 | ||
| Better accountability | 0.581 | ||
| Saves on cost | 0.441 | ||
| Create greater visibility | 0.741 | ||
| More time to solve more difficult issues | 0.661 | ||
| Preventing accident | 0.562 | ||
| Better reporting | 0.979 | ||
| Better communication | 0.845 | ||
| Improve in controlling and monitoring | 0.540 | ||
Implementing Challenges.
| Challenges Associated with the Implementation of 4iR Technologies |
| σX | R |
|---|---|---|---|
| Technologies are too expensive | 3.95 | 1.203 | 1 |
| Fear of job losses | 3.92 | 1.147 | 2 |
| Lack of adequate skills | 3.72 | 1.184 | 3 |
| Lack of cost to adopt | 3.58 | 1.210 | 4 |
| Unavailability of training capabilities | 3.57 | 1.335 | 5 |
| Prefer traditional method | 3.56 | 1.303 | 6 |
| Unavailability of funds from client | 3.55 | 1.372 | 7 |
| Fear of change | 3.55 | 1.330 | 7 |
| Unavailability of financial resources | 3.49 | 1.330 | 8 |
| Unskilled technical support | 3.49 | 1.268 | 8 |
| Lack of innovation | 3.44 | 1.353 | 9 |
| Lacks client insistence | 3.43 | 1.258 | 10 |
| Unalignment of labour supply | 3.38 | 1.187 | 11 |
| Size of project | 3.35 | 1.269 | 12 |
| Unavailability of specialist | 3.35 | 1.269 | 12 |
| Lack of education | 3.26 | 1.280 | 13 |
| Lack of access to the wireless broadband | 3.16 | 1.268 | 14 |
| Lacks interest | 3.07 | 1.302 | 15 |
| Insufficient electricity | 2.84 | 1.485 | 16 |
= Mean item score; σX = Standard deviation; R = Rank.
Measures of Sampling Adequacy.
| Measures of Sampling Adequacy | ||
|---|---|---|
| Kaiser-Meyer-Olkin | 0.80 | |
| Bartlett’s Test of Sphericity | Approx. Chi-Square | 649,148 |
| df | 171 | |
| Sig. | 0.000 |
Total Variance Explained.
| Component | Initial Eigenvalues | Extraction Sums of Squared Loadings | ||||
|---|---|---|---|---|---|---|
| Total | % of Variance | Cumulative % | Total | % of Variance | Cumulative % | |
| 1 |
| 32.082 | 32.082 | 6.096 |
| 32.082 |
| 2 |
| 10.388 | 42.471 | 1.974 |
| 42.471 |
| 3 |
| 9.033 | 51.504 | 1.716 |
| 51.504 |
| 4 |
| 7.512 | 59.016 | 1.427 |
|
|
| 5 | 0.960 | 5.054 | 64.069 | |||
| 6 | 0.920 | 4.844 | 68.913 | |||
Extraction Method: Principal Component Analysis. Values in bold represent the four components retained and their variance.
Figure 2Scree plot for Challenges.
Pattern Matrix.
| Component | ||||
|---|---|---|---|---|
| 1 | 2 | 3 | 4 | |
| Unskilled technical support | 0.832 | |||
| Unavailability of specialist | 0.829 | |||
| Unavailability of training capabilities | 0.650 | |||
| Lack of adequate skills | 0.624 | |||
| Lack of client insistence | 0.599 | |||
| Lack of interest | 0.540 | |||
| Prefer traditional method | 0.403 | |||
| Technologies are too expensive | 0.746 | |||
| Fear of change | 0.644 | |||
| Lack of innovation | 0.522 | |||
| Insufficient electricity | 0.452 | |||
| Unavailability of financial resources | 0.807 | |||
| Unavailability of funds from client | 0.703 | |||
| Lack of cost to adopt | 0.601 | |||
| Size of project | 0.600 | |||
| Lack of education | 0.795 | |||
| Unalignment of labour supply | 0.731 | |||
| Fear of job losses | 0.656 | |||
| Lack of access to the wireless broadband | 0.612 | |||