Evaluation of labor hiring policies in construction projects performance using system dynamics

Author(s):  
Soroush Abbaspour ◽  
Shahin Dabirian

Purpose The purpose of this paper is to assess different labor hiring policies for construction projects using system dynamics (SD) which have a considerable impact on project performance. Time intervals and work crew composition are two such policies. Through the implementation of a variety of policies, a managerial opportunity presents itself for the effective allocation of human resources and improvement in project performance. Design/methodology/approach The study developed a dynamic model to assess different labor hiring policies using SD based on literature. To further distinguish between findings, the effects of the applied policies on performance were considered using earned value management. Based on a real case for validating the model, the paper discusses the potential benefits of the model, including: having a systematic and holistic view, considering dynamic the labor need and allocation, identifying alternative strategies for performance improvement and simulating the reality of the projects in a virtual model. Findings The achieved simulation results show how different hiring policies affect project performance. This research model can aid decision makers to assess labor hiring policies in various time intervals with different compositions and assist them in selecting the best policies for effective implementation of project. Originality/value The proposed model would be a major attempt using SD to model labor hiring policies more accurate in construction projects performance. In fact, an accurate estimate of labor needed, along with the proper planning and implementing of various labor hiring policies, presents a managerial opportunity whereby the effective allocation of workforces can be optimized leading to drastic improvement in project performance.

2019 ◽  
Vol 19 (4) ◽  
pp. 550-569 ◽  
Author(s):  
Maan Nihad Ibrahim ◽  
David Thorpe ◽  
Muhammad Nateque Mahmood

Purpose The purpose of this paper is to investigate a set of risk-related factors influencing the earned value management (EVM) concept as an assessment technique in evaluating the progress of modern sustainable infrastructure construction projects. Design/methodology/approach A qualitative research approach has been adopted for identifying risk-related factors influencing EVM concept from a literature review and through interviewing industry personnel, followed by an inductive process to form sets of key factors and their measuring items. Findings EVM is a common method for assessing project performance. A weakness of this approach is that EVM assessment in its current form does not measure the impact of a number of project performance factors that result from the complexity of modern infrastructure construction projects, and thus does not accurately assess their impact in this performance. This paper discusses and explains a range of potential risk factors to evaluating project performance such as sustainability, stakeholder requirements, communication, procurement strategy, weather, experience of staff, site condition, design issues, financial risk, subcontractor, government requirements and material. In addition, their measuring items were identified. Practical implications This research assists projects managers to improve the evaluation process of infrastructure construction performance by incorporating a range of factors likely to impact on that performance and which are not included in current EVM calculations. Originality/value This research addresses the need to include in the EVM calculation a range of risk factors affecting the performance of infrastructure projects in Australia and therefore makes this calculation a more reliable tool for assessing project performance.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shahin Dabirian ◽  
Mostafa Ahmadi ◽  
Soroush Abbaspour

PurposeThe research aims to analyze the effects of financial policies on a cash flow system to meet project performance goals and improve profitability. The policies are divided into four groups; owner related, bank-related, labor-related and supplier-related policies. This research presents a developed model for planning, forecasting and managing the cash flow in construction projects using system dynamics (SD).Design/methodology/approachA System Dynamics (SD model is developed to evaluate the effect of different financial policies on construction project performance. By identifying the feedback loops in the cash flow system, a dynamic model is developed to forecast, plan and manage different policies, including prepayment, overbilling, loans, incentive payment, delay in payment and equipment lease.FindingsA case study (a construction activity as part of a pharmaceutical factory development project) is used to analyze the cash flow and financing policies. The findings demonstrate the effects of different policies such as incentive payments on project cash flow estimation, which proved to reduce the project duration, improve the profit and increase the financing during the project execution.Originality/valueThe presented model would be a major attempt to estimate precisely the cash flow and the effect of employing different financial policies on project performance. Applying this model, project managers and decision-makers have the opportunity to model different financial policies concerning a variety of limiting variables applicable to each situation. Ultimately, with this, one can make more reasoned decisions and, in effect, optimize the utility of the project.


2019 ◽  
Vol 5 (1) ◽  
pp. 13-19
Author(s):  
Fitri Nur Kharina ◽  
Kusno Adi Sambowo

Construction projects in all regions continues to be developed for the creation of facilities that can be utilized by the community. One of them is the construction of apartments which are now being intensively carried out to meet residential needs for the community. Making a construction project plan always refers to estimates that exist at the time development plan is made, therefore problems can arise if there is a discrepancy between the plans that have been made and the actual reality. So the impact that often occurs is the delay in the time of project implementation which can also be accompanied by an increase in the cost of implementing the project. In the construction project of Cinere Terrace Suites Apartemen & Citywalk, Jakarta there was a delay resulting in a late payment of monthly bill progress by the owner. Based on the above reasons, this research was conducted to find out how the project performance was seen from the cost and time period of the review period. how is the estimated cost and time to complete the overall project work. The method used in the analysis of this study is the Earned Value Method. Based on the results of the analysis carried out for 29 weeks the project performance on schedule has been delayed and cost shows a positive value. For the estimated completion time of the project there is an increase in time whose duration increases from the planned 98 weeks or 685 days to 109,624 weeks or 768 days. While the estimated cost of completing the project from the results of the analysis obtained a value of Rp. 270,147,448,569.16 smaller than the planned cost of Rp. 315,272,727,272.73. With the difference VAC of Rp. 45,125,278,703.57 this shows that there are benefits obtained by the contractor.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lan Luo ◽  
Limao Zhang ◽  
Xian Zheng ◽  
Guangdong Wu

PurposeThis paper proposes a novel hybrid simulation approach that incorporates the structural equation model (SEM) and system dynamics (SD) to investigate the impacts of leadership dynamics on project performance under different scenarios.Design/methodology/approachSEM is used to identify and validate a correlation between leadership variables and project performance statically. On this basis, the SD model is constructed to depict a system model connecting the leadership and project performance. Different scenarios are simulated to dynamically model the variation in leadership on the evolution of project performance.FindingsResults indicate that (1) leadership can be divided into personal ability, relationship atmosphere and organizational strategy in complex construction projects; (2) personal ability, relationship atmosphere and organizational strategy positively correlate with project performance over time; and (3) L1 (stress management ability), L7 (team building) and L17 (institution support) are the leading factors influencing project performance and should be paid more attention under limited resources.Originality/valueThis research contributes to (1) the state of the knowledge by proposing a hybrid methodology that can systematically model the impacts of leadership dynamics on project performance over time and (2) the state of the practice by gaining a better understanding of the strategy of resource distribution for enhancing project performance in complex construction projects.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Benti Gadisa ◽  
Hong Zhou

PurposeIt is well recognized that the construction industry is characterised by inefficient and ineffective service delivery due to various causative factors. Thus this study aims to examine the influential factors affecting public construction project performance in Ethiopia to improve the industry's service delivery.Design/methodology/approachFrom the extensive literature reviewed, 58 potential factors affecting construction project performance have been compiled. Based on the evidence accumulated, the conceptual model of this paper has been developed. By using survey questionnaires, valuable data were collected from the construction industry professionals in Ethiopia; analysed and interpreted with the use of both SPSS and AMOS software.FindingsIt is concluded that failure factors related to the “performance” of the contractor, the “capability” of the owner, the “project design-procurement process,” and project contract management can significantly contribute to the poor performance of public construction projects in Ethiopia. Ten key factors include inadequate contractor capacity, weak project site management and supervision, weak project management skills and capabilities of the owner, additional work orders, delayed payment, lack of comprehensive project plans between parties and incomplete project design, rising material prices, ineffective project schedules, and cost management, rising market prices and devaluation of the currency.Research limitations/implicationsThe scope of this study confined to public projects in Ethiopia. It suggests that further research needs to consider public and private construction from a comprehensive perspective in the developing countries.Practical implicationsIt provides practitioners with information and guidance on the factors that affect the performance of construction projects.Originality/valueIt provides inclusive evidence related to many factors that affect the performance of public construction projects.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Harish Kumar Singla ◽  
Abhishek Shrivas ◽  
Ashu Sharma

PurposeThe previous researchers have identified human capital, relational capital and structural capital as knowledge assets in knowledge-driven organizations. The current study is an attempt to identify and validate the knowledge assets in construction projects. The study also aims to understand the interrelation of these knowledge assets and their impact on project performance through the development of a conceptual model.Design/methodology/approachThe study is divided into three phases. In phase I, the constructs of “knowledge assets” and “project performance” in construction projects are identified using the exploratory factor analysis. In phase II, these constructs are validated using confirmatory factor analysis. Two separate surveys are conducted for phase I and phase II, respectively. In phase III, the authors develop two conceptual models based on the literature review and two construction project cases in India. The models examine the inter-relationship of knowledge assets and measures their impact on project performance. The models are empirically tested using the responses of the second survey through a structural equation model.FindingsThe study extracts four knowledge asset constructs and one performance construct which are named human capital, structural capital, relational capital, human capital capacity building process and project performance, respectively. The study finds that both the conceptual models are statistically excellent fit. The results of the models suggest that relational capital and structural capital have a direct positive impact on project performance, whereas human capital has an indirect effect on project performance mediated through relational capital, structural capital and human capital capacity building process.Research limitations/implicationsThe items for knowledge asset constructs and measurement of project performance are moderated by experts, working in construction projects in India, hence the process may contain subjective bias. Further, two construction project cases were selected by authors in the study that originate from India.Practical implicationsThe study has implications for the project executors (contractors) as well as for project owners. The contractors must maintain healthy relations with all the stakeholders in a project like a client, suppliers, architects, etc. They must develop systems that are people-friendly to avoid the problems of time and cost overruns in projects. The owners must also maintain healthy relations. This can result in a win-win situation for both parties and can lead to superior project performance.Originality/valueThe study develops and empirically tests two conceptual models that explain the interrelations of knowledge assets and how it benefits the construction project performance in India. Therefore, the generalization of the results is difficult; however, the results can be replicated in projects with similar settings.


2019 ◽  
Vol 26 (4) ◽  
pp. 723-735 ◽  
Author(s):  
Dedong Wang ◽  
Shaoze Fang ◽  
Kaili Li

Purpose The purpose of this paper is to study the mechanisms governing dynamic changes in relational and contractual governance at different stages of government-funded mega construction projects (MCPs) by studying their different effects on project performance and participants’ opportunism. Design/methodology/approach Partial least squares structural equation modeling was used to test eight hypotheses based on data collected from 147 respondents in different participating organizations in Chinese MCPs. Findings First, contractual governance has a stronger positive impact on project performance than relational governance in the early stage of MCPs, while relational governance exerts more positive effects on project performance than contractual governance in the middle and late stages. Second, opportunism is a mediator variable between governance mechanisms and project performance, and relational governance is more effective than contractual governance in restricting opportunism. Originality/value In contrast to a static analysis of project governance mechanisms, this study examines dynamic changes in the governance mechanisms of MCPs in the Chinese context by considering the mediating role of opportunism as well as guanxi as an element of relational governance, thus filling in gaps in the literature on MCP governance and contributing to the development of MCP management theory.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Prachi Vinod Ingle ◽  
Gangadhar Mahesh ◽  
Deepak M.D.

Purpose The construction industry is facing challenges because of performance shortfalls. Construction projects are highly complex, distinctive, fragmented and do not have well-established performance assessment models to evaluate their project success. The purpose of this paper is to assess the direction through determination of performance areas that would affect project performance in Indian construction projects. Design/methodology/approach A survey instrument was developed to gather data on the perception of industry professionals on these identified areas. Purposive sampling method was used to select respondents for the survey. These performance areas are ranked using relative importance index to ascertain a level of importance among the group. Factor analysis (FA) was conducted to identify the significant performance areas project performance. Further to identify the most influence performance areas on Indian construction projects, multiple regression analysis was carried out. Findings Findings indicated 28 significant performance areas. This shows the low level of adoption of good construction management practices in Indian construction projects. FA resulted in the areas being grouped to nine broad significant performance areas with 59.49% of the total variance, namely, quality, schedule, environment and stakeholder satisfactions, cost, productivity, safety, communication management, customer relations and finance. Multiple regression analysis revealed two pivotal factors “customer relations” and “schedule” that significantly influence project performance in Indian construction industry. Originality/value The outcome of the study will guide project stakeholders, who desire to improve project performance on construction projects, to prioritize their efforts. It also highlights performance areas of project management which required more focussed research in the context of Indian construction projects. The findings can be extended to the developing countries.


2015 ◽  
Vol 20 (3) ◽  
pp. 235-251 ◽  
Author(s):  
Olugbenga Jide Olaniran

Purpose – This paper aims to present the outcome of a study conducted on the impact that cost-based contractor selection (CBCS) might have on construction project performance. Several criteria are normally used to select construction contractors, competitiveness of the quoted prices of the prospective contractors is one such important criterion. However, choosing contractors solely on the basis of the quoted price may cause poor performance in the construction project. Design/methodology/approach – A quantitative approach was adopted. A critical review of the literature was conducted to develop 50 survey questions relating to the problems that CBCS might have on construction project performance. Findings – Analysis of close data obtained from the survey of construction experts showed the nature of project performance problems associated with the CBCS to be project time delays and non-compliance with construction standards. The major reason they occurred was found to be the reduced profit margin for contractors. Research limitations/implications – The research sample size is small and restricted to construction professionals in Brunei. Practical implications – The study findings present updated information to construction professionals about the inherent impacts of choosing contractors based on cost. Furthermore, this study enhances the approach of selecting contractors within the construction industry. Originality/value – The study made strong and unique arguments about the problems associated with choosing construction contractors based on cost. This study contributes to the body of knowledge relevant to the management of construction projects.


2019 ◽  
Vol 26 (7) ◽  
pp. 1261-1276 ◽  
Author(s):  
Farnad Nasirzadeh ◽  
David G. Carmichael ◽  
Mohammad Jafar Jarban ◽  
Mozhdeh Rostamnezhad

Purpose The purpose of this paper is to present a novel hybrid fuzzy-system dynamics (SD) approach for the quantification of the impacts of construction claims. Design/methodology/approach The most significant claims affecting a project are identified. The various factors affecting the impacts of claims are identified. Then, the qualitative model of construction claims is constructed considering the complex inter-related structure of the influencing factors. The mathematical relationships among the variables are determined and the quantitative model of claims is built. Finally, fuzzy logic is integrated into the proposed model to take into account the existing uncertainties. Findings To show the capabilities of the proposed simulation model, it is implemented on a real project and the impacts of the identified claims on the project cost are quantified. It is shown that the external interactions among different claims can intensify their overall impact. Research limitations/implications Identification of interactions among various influencing factors is not an easy job when there are a large number of claims in a project. Well-qualified experts and the existence of historical data may limit the application of the proposed method in projects with limited data and/or qualified experts. Practical implications The proposed hybrid fuzzy-SD approach provides a practical and flexible tool that can be used in various construction projects to assess the cost impacts of construction claims taking into account their complex interactions. Using the proposed method, the accuracy of achieved results is increased compared to conventional methods that are used for the quantification of claims since the complex inter-related structure of influencing factors and the claims interactions are taken into account. One of the capabilities of the proposed hybrid fuzzy-SD method is its flexibility. Depending on the type of contract and the parties involved in the project, the proposed hybrid fuzzy-SD method can be used during different stages of the project life cycle to model and quantify claims. Originality/value The proposed approach may present a flexible and robust method for quantification of construction claims. The novelty aspects of this paper are as follows: the extensively complex structure of claims arising from both internal and external interactions is accounted for using SD. The existing uncertainties affecting the impacts of a claim are taken into account.


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