Study of the Sustainable Functioning of Construction Companies in the Conditions of Risk Factors

Lapidus, Azariy; Abramov, Ivan; Kuzmina, Tatyana; Abramova, Anastasiia; AlZaidi, Zaid Ali Kadhim

doi:10.3390/buildings13092282

Cited by 1 publication

(2 citation statements)

References 48 publications

(73 reference statements)

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“…In previous studies, the authors [30,34] studied the effect of risk factors on project objectives and on the sustainable activities of construction companies using different quantitative and qualitative methodologies (expert evaluation, similarity preference technique TOPSIS, analysis method, Monte Carlo method), as well as identifying, analyzing and evaluating compensatory measures for the purpose of reducing the impact of those factors on the objectives and results of the construction project. In this study, the authors studied the destabilizing factors caused by the project parties or external factors using a statistical methodology (structural equation modeling) using the program Smart-PLS 4.…”

Section: Literature Reviewmentioning

confidence: 99%

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Sustainable Activity of Construction Companies under the Influence of Destabilizing Factors on the Duration of Implementation of Investment and Construction Projects

Lapidus,

Abramov,

Kuzmina

et al. 2023

Preprint

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Failure to meet the deadlines for the implementation of investment and construction projects is a problem in all countries of the world, and leads to unstable activity of construction companies. The article studies the most important destabilizing factors affecting the main indicator of sustainable activity of construction companies-the duration of the implementation of an investment and construction projects. To determine and assess the impact of destabilizing factors on the duration of implementation of selected investment and construction projects, a survey was conducted, in which a number of customers, consultants and contractors involved in construction projects took part. Questionnaires developed on the basis of a cluster sample were sent to respondents, 48 responses were received in response to the assessment of destabilizing factors. To analyze the received and grouped information, structural equation modeling using the Smart-PLS program was used. As a result of modeling, a number of results were obtained, the most important of which are the identification of the main reasons that lead to an average (20% - 50%) increase in the duration of projects in the construction sector. The most significant were: the lack of an appropriate procurement program for materials; inefficient scheduling by contractors and instability of construction production; poor-quality processing of incoming information and untimely deci-sion-making due to changes in projects during their implementation. Destabilizing factors con-tribute to an increase in the duration of construction sector projects, which leads to time overruns, cost overruns, and an increase in the negative impact on the overall use of resources. As a result of the study, a set of recommendations was formed, the most important of which is the use of possible compensatory measures that can allow construction companies to eliminate the risks of disrupting construction deadlines for sustainable activities. These compensatory measures include: - recommendations to customers of the construction project; - recommendations to contractors; - recommendations to the consultant. Moreover, the control of destabilizing factors that can cause delays, the improvement of contracts and the precise and clearer definition of all elements of the project can help to reduce the duration of construction, and will allow companies to maintain sustainable activities in the construction industry.

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Section: Literature Reviewmentioning

confidence: 99%

“…In general, the types of destabilizing factors to which investment and construction projects are subject are presented in Table 1. [5,33,34,35] Table 1. Categories of destabilizing factors in construction projects.…”

Section: Introductionmentioning

confidence: 99%