Such a publication should be appropriate for the built environment and the full review process should be followed and managed by one of the deputy editors. Such a publication must be appropriate for the built environment and the thorough review process must be followed and managed by one of the editors-in-chief. References: In the text, a reference identified by an author's name should be followed by the reference date in parentheses.
ESTABLISHING THE KEY ELEMENTS OF INCORPORATION AND OUTCOMES OF 4TH
INDUSTRIAL REVOLUTION IN BUILT ENVIRONMENT EDUCATION: A MIXED
BIBLIOGRAPHIC AND BIBLIOMETRIC ANALYSIS
- INTRODUCTION
- LITERATURE REVIEW
- Effects of 4th IR on Education
- Challenges of 4th IR Incorporation in Built Environment Education
- Key Elements 4th IR Conceptual Framework
- RESEARCH METHODOLOGY
- Keyword Database Establishment and Bibliographic Database Selection
- Document Search
- DATA ANALYSIS
- Trend of Publications Over Time
- Keyword Analysis
- Keyword Clustering Analysis
- DISCUSSION OF FINDINGS
- CONCLUSION
- ACKNOWLEDGEMENT
- REFERENCES
Therefore, this study aims to identify the key elements of the 4th IR in BE education and provide a. The main aim of the research is to identify the key elements of the 4th IR that should be included in BE education and what the expected outcomes should be. This study provided a holistic assessment of the key elements to consider when integrating the 4th IR into BE education.
NONLINEAR PROOF-OF-WORK: IMPROVING THE ENERGY EFFICIENCY OF BITCOIN MINING
- BITCOIN BLOCKCHAIN DATA STRUCTURE
- Transaction Block
- Block Header
- Block Hash
- BITCOIN CONSENSUS ALGORITHM
- Proof-of-Work
- Valid Chain Selection and Transaction Security
- Related work
- PROPOSED SOLUTION
- Assigning a Random Target
- Simulation of Dynamic Target Assignment
- nlPoW: Unidirectional random target assignment
- nlPoW: Bidirectional random target assignment
- DISCUSSION
- FUTURE RESEARCH
For this reason, the researchers studied the effect of a nonlinear proof-of-work (nlPoW) algorithm on the energy consumption of the Bitcoin network. Nakamoto (2008) showed that it is not necessary to calculate the hash of the entire block, including all transactions. The block header can instead be constructed to contain only the root hash of the transaction Merkle tree, including the .
The block hash is the hash of the block header data and must follow the rules of the consensus algorithm (section 0). These rules include a computational difficulty (in the form of a goal) that the mining node must prove has been achieved during the construction of the block. This is called a fork in the blockchain and results in different partitions of the network being able to mine on different branches (Eyal et al., 2016).
This dynamic target is not related to the computing power of the miner and cannot be predicted in advance. In this respect, a static target is nothing more than an estimate of the degree of network congestion. Two-way goal randomization tries to discourage some miners from participating in some block rounds by reducing the dynamic goal (increasing the difficulty) based on the random number assigned to the miner.
A simplified approach was followed to determine the participation threshold for each miner.
A SCHEMA FOR IMPROVING CONSTRUCTION SAFETY WITH UNMANNED AERIAL VEHICLES
- RESEARCH METHODS
- BACKGROUND OF THE UNMANNED AERIAL VEHICLES (UAVS) This section outlines the history or background of unmanned aerial vehicles (UAVs). UAVs,
- REGULATIONS GOVERNING THE UNMANNED AERIAL VEHICLES (UAVS)
- UNMANNED AERIAL VEHICLES (UAVS) ON CONSTRUCTION SITES This section outlines the impact of UAVs in the construction industry. As elaborated in the
- DISCUSSION AND THE WAY FORWARD
- REFERENCES
In the framework of this document, unmanned aerial vehicles (UAVs) are chosen to solve safety problems in the construction industry. In 2006, the Federal Aviation Administration (FAA) in the United States issued the first commercial license for a UAV, which authorizes its use for commercial purposes (Dronethusiast, 2014). UAVs are regulated in the US by the Federal Aviation Administration (FAA), which is the main agency governing civil aviation (Moud et al., 2018).
UNMANNED VEHICLES (UAVs) ON CONSTRUCTION SITES This section describes the impact of UAVs in the construction industry. As explained in this section, the impact of UAVs in the construction industry is described. The causes of construction accidents are rooted in people's working conditions.
Thus, it is essential to monitor the working environment of workers to improve safety in the construction industry. The use of UAVs in the construction industry is constantly changing the task of safety managers for direct on-site observation and interaction with workers (Hubbard et al., 2015). According to Mendes et al., (2018), the use of visual technologies can contribute positively to the entire process of safety inspections and the improvement of safety practice in construction sites. 2018) claim that the application of UAVs for safety inspections is used to identify, reduce and remove risks and hazards in construction sites.
Exploring the Perceived Influence of Safety Management Practices on Project Performance in the Construction Industry.
A PRINCIPAL COMPONENT ANALYSIS OF KNOWLEDGE MANAGEMENT SUCCESS FACTORS
IN CONSTRUCTION FIRMS IN NIGERIA
- CRITICAL SUCCESS FACTORS OF KOWNLEDG MANAGEMENT According to Idris and Kolawole (2016), Critical Success Factors (CSF) are the processes,
- METHODOLOGY
- RESULT
- Firm and Respondents Profile
- Assessing the Critical Success Factors of Knowledge Management Using the mean item score to rank the factors, the result is presented in Table 2. From table
- Principal Component Analysis of CSF’s
- Leadership and Structure
- Structure and Resources
- Management Involvement
- Information Technology
- Culture
- CONCLUSION AND RECOMMENDATIONS
KM implementation is critical, so organizations must be aware of the factors that will influence the success of a KM initiative. The analysis result in Table 4 showed that the first five components have initial eigenvalues greater than one. Aligning with Kunthi et al. 2017), Abbaszadeh (2010), top management support is one of the most influential factors in determining the success of KM.
Causal Model of Critical Success Factors for Knowledge Management Implementation, International Conference on Educational Technology and Management. Modeling enablers for successful knowledge management implementation, Proceedings of the 40th Hawaii International Conference on System Sciences. 2015) Benefits and Challenges of Knowledge Management Practices in Quantity Surveying Firms in Nigeria: Quantity Surveyors Perspective.
Impact of Critical Success Factors of Knowledge Management on Organizational Performance in the Nigerian Construction Industry, Ethiopian Journal of Environmental Studies and Management. Reexamining the Jennex Olfman Knowledge Management Success Model, Proceedings of the 50th Hawaii International Conference on System Sciences. Assessment of knowledge management practices among construction professionals in Nigeria, International Journal of Construction Engineering and Management.
An empirical study of important factors for the adoption of knowledge management in the SME sector.
FACTORS INFLUENCING THE EFFECTIVE CAPTURE OF INDIRECT COSTS IN ACCIDENT
REPORTS BY EMERGING CONSTRUCTION CONTRACTORS IN SOUTH AFRICA
- RESEARCH METHOD
- FINDINGS
- Document Analysis
- Questionnaire Survey
- IMPLICATION OF FINDINGS OF THE STUDY
- CONCLUSION
Brauer (2006) and Hinze (2006) identify accident costs as having negative impacts on industry productivity. This was based on the contractor organizations' availability and willingness to participate in the exercise. This indicates the use of convenience sampling in the selection of participating contracting organizations for the first phase of the survey.
The interviewee agrees that indirect accident insurance for any construction project will help reduce the financial burden of contractor costs. An important feature in understanding the indirect costs of an accident is the experience of contractors in the construction industry. Reviews of the report show that the indirect costs of the accident are not covered according to the predetermined theme.
Importantly, this factor shows the severity of their impact in capturing the indirect cost of the accident. In addition, the findings will help stakeholders to have a comprehensive picture of the factors that hinder the capture of the indirect cost of the accident and the factors that can improve the conditions. In the examined report it is evident that the economic impact of the indirect cost cannot be determined and as such will affect the accountability of the project performance.
In the study, the authors emphasize the need for a comprehensive analysis of the indirect costs of any construction-related accident.
CONSTRUCTION STAKEHOLDERS’ PERSPECTIVE ON EXTERNAL RELATED RISK FACTORS
PERFORMANCE
- Taxonomy of external risk factors influencing construction project performance An extensive amount of literature has been published with respect to external related risk
- Effect of external risks on construction projects
- METHODOLOGY 1 Design and sample size
- Survey Administration and data analysis
- FINDING
- Research Participation
- Causes of external risks during construction project Environment-Related risk
- Effect of External Risks on Project and Organisational Performance Project Performance
- CONCLUSIONS AND RECOMMENDATION
In addition, PMI (2008) reported that the occurrence of external risks can positively or negatively affect at least one of the project objectives, including quality. Section C, the third part of the questionnaire, requested information on the impact of construction risks on project performance. Survey participants were asked to indicate the degree of influence of socio-political risk on the main causes of external risks during project construction; where are you.
From Table 8 it is observed that 4/6 (67%) of TMs are > 3.00, which indicates that generally factors related to social policy may be slightly critical in contributing to the main causes of external risk during the construction project . The descriptive analysis hierarchy shows that labor strikes and disputes due to trade union issues were ranked highest, with MV = 3.75. The hierarchy of the descriptive analysis shows that the need for "entry permit" not taken into account in the design of the project schedule had the highest ranking, with MV = 3.27.
Respondents were asked to rate the level of contribution of the effect of external risks on project performance; where U = Uncertain, 1 = Minor extent, 2 = Almost minor extent, 3 = Some extent, 4 = Almost major extent, and 5 = Major extent, and MV varies between 1.00 and 5.00. Health and safety had MV = 3.87 and was ranked fifth, while the impact of the environment on project performance was ranked sixth with a MV = 3.65. Some of the key factors associated with environmental risk include: environmental analysis incomplete (MV = 3.63);.
Regarding the negative impact of risks on project and organizational performance, the hierarchical ranking of the average mean values for the effect of risks on construction projects shows that the effect on project performance comes first, with AMV = 4.12.
A SOFT SYSTEMS METHODOLOGY APPROACH TO IMPROVING THE SUPPLY CHAIN OF A
CONSTRUCTION PROJECT IN GAUTENG PROVINCE, SOUTH AFRICA
- MATERIALS AND METHODS
- Target population
- Research instrument and data collection procedures
- Data analysis
- Important considerations of the methodology
- RESULTS
- Step One: Delving into the problematic situation
- Step Two: Expressing the situation of the problem
- Step Three: Formulating root definitions
- Step Four: Constructing conceptual models
- Step Five: Measuring the conceptual models against real world situations When comparing the conceptual models, above, to real world situations, discussions were
- Step Six: Identifying possible and feasible changes
- Step Seven: Taking action to resolve the problematic issues
- DISCUSSION
- CONCLUSION
- REFERENCES
For the second phase of the data analysis, SSM was performed following the directions of Williams (2005) and Burge (2015). This was done through a review of the data from the thematic analysis in phase one. The results of this study are outlined based on the findings of each step of the SSM methodology.
The aspects of the supply chain that were claimed to have worked well on the project, as noted by a consensus among the various respondents, was the planning of field equipment and materials. In the case of safety issues, a single sub-theme of poor occupational safety values was observed to have hindered the normal operation of the project's supply chain. To make changes to some of the systems related to time, customer and site management at site (X) by team leaders, care workers and project managers (Y), to target time-related problems experienced, customer and site management (Z).
In addition, it was recommended that the project's management purchase additional equipment to improve the operational efficiency of the site. This is because the goal was only to observe the effectiveness of SSM in defining and developing a model to address the existing challenges of the project's supply chain. The actions listed in the top right quadrant of the matrix are those that were believed to bring the greatest potential benefit to the project while requiring the least amount of effort.
Conversely, actions listed in the lower left quadrant of the matrix were considered to have the least potential benefit to the project, while requiring the most effort.
