scholarly journals Factors influencing the performance of architects in construction projects

2020 ◽  
Vol 20 (3) ◽  
Author(s):  
Amy Marisa ◽  
Nor'Aini Yusof

The construction industry has been accused of ineffectiveness and inefficiency because of delays, cost overruns and defects that are partly due to flaws in the design. As professionals responsible for design, architects should achieve optimum performance in the project delivery process. This study aims to investigate the factors that influence the performance of architects in construction projects. This study employs a questionnaire survey for data collection and partial least square structural equation modelling (PLS–SEM) for data analysis. Using a census method, a total of 222 useable responses are gathered from registered architects in Indonesia. Results reveal significant and positive relationships between working condition, organisational support and effective design process and the performance of architects. The strongest effect is found from the influence of effective design process on the performance of architects. Thus, these factors should be applied to enhance the performance of architects, thereby improving the project outcome.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ayodeji Emmanuel Oke ◽  
Ahmed Farouk Kineber ◽  
Maged Abdel-Tawab ◽  
Abdurrahman Salihu Abubakar ◽  
Ibraheem Albukhari ◽  
...  

PurposeThe purpose of this paper is to investigate the applicability of cloud computing (CC) and the challenges that contribute to more successful projects with a major sustainable construction development.Design/methodology/approachThe previous studies provided information on CC implementation barriers, which were then evaluated by 104 construction stakeholders through a questionnaire survey. As a result, the exploratory factor analysis (EFA) approach was used to investigate these barriers. Furthermore, a partial least square structural equation model was used to build a model of these barriers (PLS-SEM).FindingsThe EFA results revealed that the above-noted factors are in a close relation with three key components, i.e. social, economic and communication. In addition, the proposed model results found the social barrier a key challenge to the implementation of CC.Research limitations/implicationsThe results from this study can help decision-makers to improve the approaches regarding data fragmentation that has great effects on the execution of all construction projects. The focus of the paper is to enhance the data fragmentation processes. In addition, the results would be useful to strengthen the sustainability of existing construction projects by enhancing the implementation of CC.Originality/valueThe novelty of this research work will provide a solid foundation for critically assessing and appreciating the different barriers affecting the adoption of CC.


Author(s):  
Zairra Mat Jusoh ◽  
◽  
Narimah Kasim ◽  
Mansir Dodo ◽  
◽  
...  

Effective materials management has a significant role in the success of any construction projects. Understanding the factors related to the management effectiveness may assist the decision-makers of construction firms to allocate resources in the best possible manner in managing materials when implementing construction projects. However, limited studies have explored and investigated the associated factors of effective materials management related to project performance, especially in the Malaysian construction industry context. Thus, this research paper aims to investigate the influential factors of effective materials management and their effects on project performance. A partial least square-structural equation modelling (PLS-SEM) approach was employed to analyse 202 pieces of data collected from a questionnaire survey. The results indicate that the effective materials management has a positive significant impact on project performance. The top three groups of factors that contribute to this management effectiveness are transportation, management, and purchasing; meanwhile, the most implied factors of the effective materials management are waste, cost and time of project performance. To increase project performance, more resources should be allocated to improve the transportation, management and purchasing components of materials management.


2013 ◽  
Vol 284-287 ◽  
pp. 3649-3656 ◽  
Author(s):  
Ismail Abdul Rahman ◽  
Aftab Hameed Memon ◽  
Nor Hazana Abdullah ◽  
Ade Asmi Abdul Azis

Being resource-driven industry, success and failure of construction projects highly depend on resources. As construction industry is now-a-days facing major problem of cost overrun worldwide, this can be contributed by construction resource issues. Hence, this study aimed to assess impact of construction resource on project cost overrun. Structured questionnaire survey was carried out to understand the perception of construction practitioners. A total of 106 samples were collected. Partial Least Square (PLS) of Structural Equation Modeling (SEM) approach regarded as the graphical equivalent of a mathematical representation of relationship between dependant variable to explanatory variable was adopted for data analysis, as common methods of data analyze does not give insight of underlying relationships between various factors. In analyzing cause-effect relationships, PLS-SEM is a dominant approach to establish rigor in complex models. Smart PLS 2.0 software was used to test the relationship between resources and cost overrun. The developed structural model indicates that relationship between resource and cost overrun was satisfactory by having substantial explaining power (GoF=0.529) and 40% of the cost overrun was influenced with resources. The most significant resource was construction material. Hence, effective material planning and management is vital to improve potential construction cost overrun.


2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ayodeji Emmanuel Oke ◽  
Ahmed Farouk Kineber ◽  
Badr Alsolami ◽  
Chukwuma Kingsley

Purpose The purpose of this paper is to assess the cloud computing (CC) methods and tools towards the achievement of construction project sustainability in Nigeria. Design/methodology/approach Data were obtained from the literature, complemented by a quantitative method using a questionnaire distributed among 104 respondents comprising mainly construction professionals in Nigeria. Subsequently, data were analysed using the exploratory factor analysis (EFA) method. In addition, the partial least square structural modelling was used to generate a model for the adoption of CC tools for sustainable construction. Findings EFA results indicated that the CC implementation tools could be categorised into four significant constructs: platform, communication, software and data storage. Results obtained from the model showed that platform tools were the most crucial tools for implementing CC in the construction industry. Practical implications The findings from this study are essential to the pursuit of perception of methods and tools connected to the vagueness of CC for future employees. In addition, the identified CC tools are expected to enhance the success of construction projects. Originality/value The novelty of this research work will be a benchmark or board for decision-makers to quality by adopting CC methods and tools in Nigeria’s construction projects to achieve their sustainable projects.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ayodeji Emmanuel Oke ◽  
Ahmed Farouk Kineber ◽  
Ibraheem Albukhari ◽  
Adeyemi James Dada

PurposeThe purpose of this paper is to evaluate the barriers militating against the adoption of robotics in the construction industry.Design/methodology/approachRobotics implementation barriers were obtained from the previous studies and then through questionnaire survey construction stakeholders in Nigeria evaluate these barriers. Consequently, these barriers were examined via the exploratory factor analysis (EFA) technique. Furthermore, a model of these barriers was implemented by means of a partial least square structural equation modeling (PLS-SEM).FindingsThe EFA results showed that these barriers could be categorized into two: cost and technology. Results obtained from the proposed model showed that platform tools were crucial tools for implementing cloud computing.Originality/valueThe novelty of this research work will be provided a solid foundation for critically assessing and appreciating the different barriers affecting the adoption of robotics.


sjesr ◽  
2021 ◽  
Vol 4 (1) ◽  
pp. 528-538
Author(s):  
Zaigham Ali ◽  
Dr. Ammar Hussain ◽  
Mehfooz Ullah

The purpose of this paper is to ascertain practitioners’ perception of the critical determinants of uncertainty factors on the transaction cost (TC) in highway construction projects. A survey questionnaire is used to collect data from the 230 practitioners of public-sector construction organizations in Pakistan to identify those factors. The partial least square structural equation modeling (PLS-SEM) is tested on the collected data. This research investigates that TC borne by the owner can be reduced when the owner minimizes inherent uncertainties. To reduce uncertainty, the owner needs to ensure a good relationship with the contracting parties, make a timely payment to the contractor, complete work scope to reduce change orders, enhancing the owner’s experience in similar projects which increase the organizational efficiency hence reduce in TC. This empirical study was conducted from an organizational perspective which helps the project owners to overcome the issues under uncertainty that influence the Transaction cost (TC) in highway construction projects in developing countries. It demonstrates that the uncertainty that causes to enhance the TC is due to the uncertainty of the owner’s behavior. This study provides a guideline for the practitioners of the public sector construction industry to bring cost efficiency under the uncertain circumstance.


2021 ◽  
Vol 1 (1) ◽  
pp. 1-21
Author(s):  
Nurul Safwah Mohd Yusoff ◽  
Faizul Azli Mohd Rahim ◽  
Loo Siaw Chuing

The construction industry is recognised as one of the major economic sectors that significantly contribute to socio-economic development. However, the skilled labour shortage is one factor that affects the success of projects in the construction industry. Therefore, this paper aims to study the effects of skilled labour shortages on construction project performance. A questionnaire survey was conducted with 42 construction practitioners. The hypotheses were tested by using a Partial Least Square (PLS) method. The results indicate that project-related factors and human capital factors affecting skilled labour shortages in construction projects and skilled labour shortages have affected construction projects’ performance. This finding’s implication is useful for construction industry players by better understanding successfully managing construction projects.


An increased demand has been placed on construction projects to be more accountable to their clients with measure to the company services and outputs. This demand is because of innumerable antecedent factors repelling risk management in construction projects. However, finishing the projects is not only the concern of the industries but also managing the risks involved with the projects. This paper investigated the effects of organizational structure and internal factors on the risk management among G7 contractors in Malaysia. The purpose of this study is threefold: (i) to propose an inclusive research model which comprises of the antecedent factors proposed in the model to improve effective risk management in Malaysia construction industries (ii) to serve as a validation process for the developed instrument of the on-going research with the identified constructs of the study (iii) to show the preliminary analysis and the results. A pilot study was conducted, data was collected and a total of thirty (30) respondents’ responses were analysed using a questionnaire of eighty-one items. This was conducted to access and validate how reliable the analytical tools (i.e PLS-SEM model) used in the survey were. The results obtained indicated that the reliability of the measurement model and the ensuing data for pilot study suggested a veritable evidence of their validity.


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