Egwim, C N; Alaka, H; Toriola-Coker, L O; Balogun, H; Ajayi, S and Oseghale, R (2023) Extraction of underlying factors causing construction projects delay in Nigeria. Journal of Engineering, Design and Technology, 21(5), pp. 1323-1342. ISSN 1726-0531
Abstract
Purpose: This paper aims to establish the most underlying factors causing construction projects delay from the most applicable. Design/methodology/approach: The paper conducted survey of experts using systematic review of vast body of literature which revealed 23 common factors affecting construction delay. Consequently, this study carried out reliability analysis, ranking using the significance index measurement of delay parameters (SIDP), correlation analysis and factor analysis. From the result of factor analysis, this study grouped a specific underlying factor into three of the six applicable factors that correlated strongly with construction project delay. Findings: The paper finds all factors from the reliability test to be consistent. It suggests project quality control, project schedule/program of work, contractors' financial difficulties, political influence, site conditions and price fluctuation to be the six most applicable factors for construction project delay, which are in the top 25% according to the SIDP score and at the same time are strongly associated with construction project delay. Research limitations/implications: This paper is recommending that prospective research should use a qualitative and inductive approach to investigate whether any new, not previously identified, underlying factors that impact construction projects delay can be discovered as it followed an inductive research approach. Practical implications: The paper includes implications for the policymakers in the construction industry in Nigeria to focus on measuring the key suppliers' delivery performance as late delivery of materials by supplier can result in rescheduling of work activities and extra time or waiting time for construction workers as well as for the management team at site. Also, construction stakeholders in Nigeria are encouraged to leverage the amount of data produced from backlog of project schedules, as-built drawings and models, computer-aided designs (CAD), costs, invoices and employee details, among many others through the aid of state-of-the-art data driven technologies such as artificial intelligence or machine learning to make key business decisions that will help drive further profitability. Furthermore, this study suggests that these stakeholders use climatological data that can be obtained from weather observations to minimize impact of bad weather during construction. Originality/value: This paper establishes the three underlying factors (late delivery of materials by supplier, poor decision-making and Inclement or bad weather) causing construction projects delay from the most applicable.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | construction project management; construction projects delay; expert survey; positivism; project and construction management; statistical analyses; underlying factors |
| Index terms: | quality control, computer aided design, survey, artificial intelligence, decision-making, methodology, Nigeria, correlation analysis, profitability, machine learning, state of the art, construction project, as-built drawing, inductive approach, construction project management, systematic literature review, factor analysis, statistical analysis, construction industry, weather, construction delay, construction worker, positivism, program, reliability analysis |
| Subjects: | data science, software systems, industry analysis, economic analysis, philosophical concept, technical documentation, decision analysis, project management theory and practice, research dissemination and communication, Geography, statistical analysis, research evaluation and metrics, reliability engineering, production management, project delivery, data collection methods, research methods, air quality, computational design, practitioner, artificial intelligence, project controls |
| Topics: | Risk Management, Geographical Context, Business Strategy, Design Practice, Engineering Principles, Time Control, Sustainability, Roles and Professions, Digital Applications, Quality Management, Research Practice, Project Management |
| Descriptive scope: | 5 PCTEA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here