scholarly journals Impact of management practices on construction productivity in Indian building construction projects: an empirical study1

2021 ◽  
Vol 13 (1) ◽  
pp. 2383-2390
Author(s):  
Saurav Dixit
Keyword(s):  
Construction Projects ◽  
Quantitative Research ◽  
Management Practices ◽  
Management Practice ◽  
Relative Weight ◽  
Weighted Average ◽  
Building Construction ◽  
Average Score ◽  
Construction Productivity ◽  
The Impact

Abstract The objective of this study is to analyse the impact of management practices on the productivity of building construction projects in India. The methodology adopted for this study is to identify and analyse the management practice attributes from the literature review and expert focus group interviews. The identified attributes were analysed and priorities using relative weight were given by the respondents. The collected data were further analysed using SPSS 21 software. The quantitative research methodology was adopted to analyse the collected data and the following tools and techniques were applied to the data: reliability analysis to check the consistency of data collected for this study and relative importance index (RII) to prioritise and rank the attributes based on the weighted average score given by the respondents. The findings of this study concluded that coordination between all stakeholders, ability to handle the crisis by the project managers, social skills of key team managers, timely payment of completed works and design capability and frequent design changes are the most significant attributes of management practice, affecting construction productivity and having a rating on the RII of 0.91, 0.90, 0.88, 0.87 and 0.87.

scholarly journals STUDY ON RISK MANAGEMENT PRACTICES ON PUBLIC BUILDING CONSTRUCTION PROJECT: IN CASE OF EASTERN WOLLEGA ZONE

2021 ◽  
Vol 6 (3) ◽  
Author(s):  
Zelalem Mebrate Ejeta ◽  
Zelalem M ◽  
Vignesh Kumar M ◽  
Getnet Tadesse ◽  
Biftu Jaleta
Keyword(s):  
Risk Management ◽  
Construction Projects ◽  
Management Practices ◽  
Management Practice ◽  
Construction Project ◽  
Research Work ◽  
Building Construction ◽  
Market Condition ◽  
Public Building ◽  
Project Objectives

The Construction Industry is embedded with risky situations that affect construction projects and therefore requires systematic processing to achieve project objectives and ensure business sustainability (5). This research work was tries to study the risk management practice on public building construction projects and aims to identify the level that use of risk management practice especially in the public building. The data collection method was a combination of interview and questionnaire. Samples were purposively selected from clients, consultants, and contractors representatives who are now actively participating in public building construction projects. For this study, the data was collected using both primary and secondary sources. Depending on the data that was gathered from the respondent to test the level of awareness, identifying the Risk that affect the performance of public building construction project and major risk management practice on public building construction project are considered and the RII was used to rank the factors. This data was analyzed using SPSS of version 22 to perform descriptive statistics. A total of 75 questionnaires were targeted to be distributed and out of those 50 which is 66.67% are successfully responded. The finding from this study revealed that, about (52%) of the project progress is lagging from the schedule. Regarding the awareness of the risk management, (94%) of the respondents where confirmed that they have awareness of risk management ideologies and they are confident enough to implement their knowledge while, (6%) of them have no concept about the risk management. The top five risks that affect the performance of construction project have been identified and ranked. Accordingly; market condition, unexpected inflation, local taxes, inadequate production of raw materials, and the economic condition of country are the top five identified associated project risks.

Productivity monitoring in building construction projects: a systematic review

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wesam Salah Alaloul ◽  
Khalid M. Alzubi ◽  
Ahmad B. Malkawi ◽  
Marsail Al Salaheen ◽  
Muhammad Ali Musarat
Keyword(s):  
Systematic Review ◽  
Construction Projects ◽  
Small Sample ◽  
Machine Learning Algorithms ◽  
Building Construction ◽  
Content Type ◽  
Construction Productivity ◽  
Automated Monitoring ◽  
Monitoring Tools ◽  
Meta Analyses

PurposeThe unique nature of the construction sector makes it fall behind other sectors in terms of productivity. Monitoring construction productivity is crucial for the construction project's success. Current practices for construction productivity monitoring are time-consuming, manned and error prone. Although previous studies have been implemented toward reducing these limitations, a gap still exists in the automated monitoring of construction productivity.Design/methodology/approachThis study aims to investigate and assess the different techniques used for monitoring productivity in building construction projects. Therefore, a mixed review methodology (bibliometric analysis and systematic review) was adopted. All the related publications were collected from different databases, which were further screened to get the most relevant based on the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) criteria.FindingsA detailed review was performed, and it was found that traditional methods, computer vision-based and photogrammetry are the most adopted data acquisition for productivity monitoring of building projects, respectively. Machine learning algorithms (ANN, SVM) and BIM were integrated with monitoring tools and technologies to enhance the automated monitoring performance in construction productivity. Also, it was observed that current studies did not cover all the complex construction job sites and they were applied based on a small sample of construction workers and machines separately.Originality/valueThis review paper contributes to the literature on construction management by providing insight into different productivity monitoring techniques.

Research in Different Categories of UK Universities

1997 ◽  
Vol 11 (5) ◽  
pp. 304-313
Author(s):  
W. O. George ◽  
A. N. Hill
Keyword(s):  
Weighted Average ◽  
Unit Group ◽  
Research Quality ◽  
Average Score ◽  
Social Sciences And Humanities ◽  
Peer Rating ◽  
Subject Areas ◽  
Broad Subject ◽  
The Impact

In this paper, the origins and characteristics of the 102 current UK universities are briefly traced and the outcomes of recent assessments of research quality are summarized for all universities and for the 69 subject units within which assessment was made. The quality of research in a subject unit, group of subject units or complete institution is measured by a weighted average score based on a peer rating of submitted subject units from each university and the numerical values obtained are described within the limitations of the methodology developed. The authors consider the scores in terms of the characteristics of each university and the broad subject areas, science, engineering, social sciences and humanities. They then discuss the industrial link with research in terms of recent government policy inputs, university research outcomes and the impact of market forces on universities from diminishing patterns of some income streams.

scholarly journals An assessment of cost escalation in building construction project

2021 ◽  
Vol 39 (4) ◽  
pp. 1029-1034
Author(s):  
A. Nazif ◽  
A.K. Mustapha ◽  
F. Sani
Keyword(s):  
Construction Projects ◽  
Building Construction ◽  
Project Cost ◽  
Mean Values ◽  
Design Error ◽  
Project Construction ◽  
Effective Cost ◽  
Building Project ◽  
The Impact ◽  
The Relationship

Estimating of cost for building construction projects with minimum error at the conceptual stage of project development is quite  essential for planning. This study seeks to evaluate factors responsible for cost escalation of building construction projects.  Questionnaires were administered to examine and assess these factors. Subsequently, the mean score value of each factor was determined. In addition, Correlation and Linear regression analyses were used to establish the relationship between these factors. Factors responsible for cost escalation in projects were examined as well as the impact of those factors, and occurrence of those factors on project cost. The result of the analysis showed that, the most agreed factors responsible for project cost escalation were; inadequate supervision, irregular payment, and design error, having high mean values of 4.25, 4.20, and 4.15, respectively. Also, correlation analysis result established that the factors responsible for cost escalation and the impact of cost escalation had significant R and R2 of 0.81 and 0.70 respectively. Addressing these factors would go a long way in reducing the escalation of building project cost. Never the less, an effective cost management strategy is absolutely necessary to safeguard and sustain the construction  industry. Keywords: cost escalation, building project, construction, regression analysis

scholarly journals The Requirement of Records Management Practices for Institutional Audits

2018 ◽  
Vol 7 (3.7) ◽  
pp. 228
Author(s):  
Nik Nurul Emyliana Nik Ramlee ◽  
Saiful Farik Mat Yatin ◽  
Mastura Md Zali ◽  
Nurul Aiqa Mohd Zain ◽  
Amzari Abu Bakar ◽  
...  
Keyword(s):  
Management Practices ◽  
Good Governance ◽  
White Collar Crime ◽  
Risk Mitigation ◽  
Management Practice ◽  
Records Management ◽  
Government Sector ◽  
The Government ◽  
Relationship Of ◽  
The Impact

Currently, the issues of corruption or white-collar crime rise in government sector and this issue raised during the audit checking. The organization itself do not take the initiative and follow the policy and standard assigned by the government when manage the records in their organization with the requirement of records management practices. This study also emphasizes the role of records management in conducting the risk mitigation in governance regarding the auditing process, the relationship of the records management and good governance and to analyse the general report of one organization in Malaysia which related with the audit department. With this study, hopefully the good governance and accountability could be achieved and the crime rate could be minimized as well as no litigation occur during the auditing process if the records management practices plays their roles. This study is to investigate the impact of the implementation of good records management practice in exercising good governance and to ease up the auditing process.  

scholarly journals A fuzzy logic model for benchmarking the knowledge management performance of construction firms

2011 ◽  
Vol 38 (4) ◽  
pp. 464-475 ◽  
Author(s):  
Serdar Kale ◽  
Erkan A. Karaman
Keyword(s):  
Knowledge Management ◽  
Management Practices ◽  
Management Practice ◽  
Weighted Average ◽  
Organizational Capability ◽  
Management Performance ◽  
Construction Firms ◽  
Business Executives ◽  
Proposed Model ◽  
Management Concepts

Knowledge management is rapidly becoming a key organizational capability for creating competitive advantage in the construction industry. The emergence of knowledge management in this capacity poses enormous challenges to executives of construction firms. This paper proposes a model for benchmarking the knowledge management performance of construction firms that can guide and assist construction business executives in meeting these challenges. The proposed model incorporates benchmarking and knowledge management concepts with fuzzy set theory to adequately handle imprecision, vagueness, and uncertainty that prevail in this process. It uses the fuzzy-weighted average (FWA) algorithm to evaluate the knowledge management performance of construction firms. It is an internal reporting model that can provide powerful diagnostic information to executives of construction firms by evaluating their firm’s knowledge management performance, identifying their firm’s strengths and weaknesses with regard to each knowledge management practice, and setting priorities for managerial actions related to knowledge management practices that need improvement. A real-world case study is presented to illustrate the implementation and utility of the proposed model.

scholarly journals The Influence of Risk Management on Construction Project Performance: A Case Study.

2018 ◽  
pp. 936-942
Author(s):  
Mazurina Mohd Ali ◽  
Sakinah Zahra Norman ◽  
Erlane K. Ghani ◽  
Noor Hasniza Haron
Keyword(s):  
Risk Management ◽  
Construction Projects ◽  
Management Practices ◽  
Management Practice ◽  
Methodological Approach ◽  
Construction Project ◽  
Project Performance ◽  
Time Cost ◽  
Schedule Delay

Risk Management is recognized as an important exercise that creates value to a project and improves project performance. Time, cost and quality are the primary measures of a project performance in this industry. The success or failure in any construction project can be monitored through the attainment of these primary measures. Notably, Malaysian construction industry is considered as one of the important industries that positively contribute to the increase of Gross Domestic Product and subsequently the growth of the country’s economic development. Unfortunately, this industry suffers poor performance in which it leads to failure in accomplishing effective time, cost and quality performance. Most construction projects face a schedule delay, cost overrun and are poor in product quality. Thus, the aim of this study is to determine the influence of risk management on construction project performance of Malaysian companies based on these three primary measures. The degree of diffusion of risk management practice in the chosen construction project in Malaysia is also examined. The methodological approach exploited in this study is a case study approach involving analysis of documented data and face-to-face interviews with key players that hold different roles and responsibilities. They include a director, project managers, finance managers, contract managers and quantity surveyor managers. The results demonstrate that adopting effective risk management practices positively impacts project performance thus leading to project success. Nevertheless, the lack of knowledge and poor communication of risk management practices in construction projects contribute to the weak implementation of an effective and systematic risk management practices in Malaysia.

scholarly journals Analysis of Formwork System Selection Criteria for Building Construction Projects: A Comparative Study

Buildings ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 618
Author(s):  
Taylan Terzioglu ◽  
Gul Polat ◽  
Harun Turkoglu
Keyword(s):  
Construction Projects ◽  
Selection Criteria ◽  
Selection Process ◽  
Structural Parameters ◽  
Project Managers ◽  
Building Construction ◽  
Management Service ◽  
Score Analysis ◽  
System Selection ◽  
The Impact

The formwork system (FWS) in reinforced concrete (RC) construction is a critical component. The appropriate FWS is selected based on a number of conflicting and compromising criteria, and the selection of the FWS is carried out by construction professionals with different technical and/or administrative backgrounds. The perspectives and perceptions of construction professionals and companies involved in the FWS selection process may vary depending on their motives. In addition, some building structural parameters may have a significant impact on the FWS selection criteria. Most of the former studies investigated the FWS selection criteria from only the perspective of contractors and neglected the potential differences in the perspectives and perceptions of different construction professionals (i.e., owners (CO), project managers (PM), construction managers (CM), site engineers (SE), planning engineers (PL), procurement engineers (PR), technical office engineers (TO), and formwork design and/or formwork sales engineers (FD/FSL)) and companies specialized in different fields (i.e., project management service (PMS), engineering and design (ENG/DSG), formwork and scaffolding (FW/SCF), and general and/or sub-contractor (GC/SC)) regarding this issue. Moreover, the impact of building structural parameters on the FWS selection criteria has not been investigated. This study aims to fill this knowledge gap through analysing the FWS selection criteria for building construction projects while comparing the perspectives and perceptions of different groups of construction professionals and companies and investigating how FWS selection criteria are affected by the building structural parameters. Based on a comprehensive literature review, 35 FWS selection criteria were identified and a questionnaire was developed. The questionnaire data obtained from 222 Turkish construction professionals were statistically analysed using mean score analysis, the Kruskal–Wallis test, and the Mann–Whitney U test. According to the study’s findings, the FD/FSL group presented significant statistical differences regarding the FWS selection criteria as compared to the CO, PM/CM/SE, and PL/PR/TO groups. Moreover, the total area of building construction and total building height significantly affected the FWS selection criteria. This study serves to underscore the perspectives of various groups of construction professionals and the critical connection between the structural parameters and FWS selection criteria. The findings of this study may guide construction professionals to select the appropriate FWS for their building construction projects.

Incorporating aleatory and epistemic uncertainties in the modelling of construction duration

2020 ◽  
Vol 27 (9) ◽  
pp. 2199-2219
Author(s):  
Hassan Adaviriku Ahmadu ◽  
Ahmed Doko Ibrahim ◽  
Yahaya Makarfi Ibrahim ◽  
Kulomri Jipato Adogbo
Keyword(s):  
Construction Projects ◽  
Bayesian Model Averaging ◽  
Predictive Accuracy ◽  
Tertiary Education ◽  
Model Averaging ◽  
Building Construction ◽  
Percentage Error ◽  
Content Type ◽  
The Impact ◽  
Matlab Programming

PurposeThis study aims to develop a model which incorporates the impact of both aleatory and epistemic uncertainties into construction duration predictions, in a manner that is consistent with the nature/quality of information available about various factors which bring about uncertainties.Design/methodology/approachData relating to 178 completed Tertiary Education Trust Fund (TETfund) building construction projects were obtained from construction firms via questionnaire survey. Using 90% of the data, the model was developed in the form of a hybrid-based algorithm implemented through a suitable user-friendly graphical user interface (GUI) using MATLAB programming language. Bayesian model averaging, Monte Carlo simulation and fuzzy logic were the statistical methods used for the algorithm development, prior to its GUI implementation in MATLAB. Using the remaining 10% data, the model's predictive accuracy was assessed via the independent samples t-test and the mean absolute percentage error (MAPE).FindingsThe developed model's predictions were found not statistically different from those of actual duration estimates in the 10% test data, with a MAPE of just 2%. This suggests that the model's ability to incorporate both aleatory and epistemic uncertainties improves accuracy of duration predictions made using it.Research limitations/implicationsThe model was developed using a particular type of building projects (TETfund building construction projects), and so its use is limited to projects with characteristics similar to those used for its development.Practical implicationsThe developed model's predictions are expected to serve as a useful basis for consultancy firms and contractor organisations to make more realistic schedules and benchmark measures of construction period, thereby facilitating effective planning and successful execution of construction projects.Originality/valueThe study presented a model which permits combined manipulation of aleatory and epistemic uncertainties, hence ensuring a more realistic incorporation of uncertainty into construction duration predictions.

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