Effect of project complexity on cost and schedule performance in transportation projects

Nguyen, Long D.; Le‐Hoai, Long; Tran, Dai Q.; Dang, Chau Ngoc; Nguyen, Chau

doi:10.1080/01446193.2018.1532592

Cited by 48 publications

(44 citation statements)

References 71 publications

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“…Inferential statistics-including bivariate Pearson correlation analysis and hierarchical multiple regression analysis-are used to test the research hypotheses. These analysis methods were selected because they were widely used to investigate the relationships of independent and moderator variables with a dependent variable in many previous studies (e.g., Chih et al, 2016;Chih et al, 2017;Nguyen et al, 2019), which is similar in nature to this study's research objectives. In addition to this reason, the sample size of the collected data (i.e., 79 valid responses) was also considered to be more appropriate with these analysis methods than structural equation modelling, which usually requires a larger sample size (i.e., at least 100 for results to be reasonably reliable and above 200 to avoid the risk of sample non-normality; Bagozzi and Yi, 2012).…”

Section: Discussionmentioning

confidence: 99%

Effect of Encouragement-based Management Mechanism on Construction Firms’ Manpower Development: An Empirical Study from Vietnam

Dang

Le‐Hoai

Peansupap

2021

CEB

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The construction industry should seek to enrich its workforces due to the increasing lack of trained and skilled employees. This study attempts to investigate the relationship between encouragement-based management mechanism (EMM) and manpower development (MD) in construction firms and examine the moderating effect of firm size on this relationship by conducting bivariate Pearson correlation and hierarchical multiple regression analyses to analyse empirical data collected from 79 construction firms in Vietnam. The results show that EMM positively affected MD, and this positive effect was stronger in small/medium-sized construction firms than in large firms. The findings could provide construction firms in Vietnam, as well as other developing countries, with a better understanding of the effect of EMM on MD. Hence, they could establish appropriate and wise encouragement-based strategies to enhance their manpower. This study could contribute to the extant literature on construction manpower development by providing empirical evidence of the EMM−MD relationship in the context of construction firms.

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Section: Discussionmentioning

confidence: 99%

Effect of Encouragement-based Management Mechanism on Construction Firms’ Manpower Development: An Empirical Study from Vietnam

Dang

Le‐Hoai

Peansupap

2021

CEB

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“…Previous data in organizational data-bases were considered as potential sources of information, and a neural network model was used to estimate cost of new product based on the past data. Nguyen et al [22] demonstrated the impact of project complexity on resource allocation and project scheduling. In both cases it was concluded that project complexity has a direct relation with risks of failure.…”

Section: B Project Complexitymentioning

confidence: 99%

A decision-making framework based on knowledge criteria for network partner selection

Vaez-Alaei

Deniaud

Marmier

et al. 2019

2019 International Conference on Industrial Engineering and Systems Management (IESM)

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In a complex project, an organization is often not able to manage all aspects alone, since it does not have all the required competences, skills or resources. In this case, alliance formation can be a solution for project development. Apart from simply managing complex projects, firms also find it important to increase innovativeness by sharing knowledge between partners in alliances. However, in alliances one of the difficulties is achieving effective collaboration: mis-communication, missing skills or missing resources create a high risk that the project fails to achieve its goals. In order to decrease the risk of failure, and to overcome potential collaboration inefficiency, partner selection takes place among firms that are able to communicate well while at the same time having the required knowledge to achieve their objectives. The important role of partner selection in alliances justifies the increased attention given to substantial criteria in alliance formation. Proposing a knowledge-based framework aimed at increasing the understanding of partner selection in alliances is the contribution of this paper. This knowledge can be gained by evaluating projects from a technological point of view to estimate their challenging degrees, and studying the partners background in past projects or partnerships. This paper structured to propose hypotheses based on a systematic literature review. At the heart of the hypotheses is a consideration of the needs of the project, and starting there allows us to characterize alliance formation and partner selection using a new typology. Finally, a novel framework is proposed that could help decisionmakers in the managerial aspects of partner selection in alliance formation. The framework also presents considerable potential for future studies.

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“…That is to say, contractors working in number of projects with their full workload capacity, and resources fully in use, premium payment needed for any extra work (Fayek, 1998). Otherwise, contractors suffer resources shortage that leads to decreasing effect on schedules owing to this complication (Nguyen et al, 2018)(Liu et al, 2018. This study is not only beneficial for the client decision making but also to the dynamic relationship between the parties in road works projects (Emre and Hastak, 2009).…”

mentioning

confidence: 91%

Examining sensitivity of financial performance at construction projects prequalification stage

Kadhim

Erzaij

2020

jcoeng

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Construction projects are complicated in nature and require many considerations in contractor selection. One of the complicated interactions is that between performance with the project size, and contractor financial status, and size of projects contracted. At the prequalification stage, the financial ‎requirements restrict the ‎contractors to meet minimum limits in financial criteria such as net worth, working capital and ‎annual turnover, etc. In construction projects, however, there are cases when contractors meet these requirements but show low performance in practice. The model used in the study predicts the performance by training of a neural network. The data used in the study are 72 of the most recent roadwork projects‎ in Bahrain. The results are shown in terms of the sensitivity of changing one variable on the performance of all the 72 projects. These results can reflect on the methods currently used on contractors’ assessments in the tendering stage and support decision-makers in assessing contractors and selecting the best bidders.

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Effect of project complexity on cost and schedule performance in transportation projects

Cited by 48 publications

References 71 publications

Effect of Encouragement-based Management Mechanism on Construction Firms’ Manpower Development: An Empirical Study from Vietnam

Effect of Encouragement-based Management Mechanism on Construction Firms’ Manpower Development: An Empirical Study from Vietnam

A decision-making framework based on knowledge criteria for network partner selection

Examining sensitivity of financial performance at construction projects prequalification stage

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