Journal of Construction Engineering, Management & Innovation

Burak ÖZ

Quality issues are a major concern for building projects and continue unabated. Therefore, this research aims to investigate quality problems in Turkish public buildings and to recommend quality improvements to improve construction quality for successful construction in both public and private projects. Survey data were analyzed using frequency indices (FIs) and consensus frequency indices (CFIs) to rank dissatisfaction levels, in-complete or defective works, and suggestions to improve construction quality. According to the results of the survey, the FI of poor quality or non-standard work on the completed public buildings was 0.75, and the project duration estimated by the owners was the major cause (3.92 ± 1.16). The most stated recommendation for improving the quality of building work and materials was to increase sanctions on responsible personnel (4.28 ± 0.71) with a CFI of 0.64. Quality issues are a major concern for building projects. Literature has documented that there are a variety of challenges faced by construction projects, such as unforeseen structural issues and budget overruns. There are several types of quality control issues, including improper installation, defective materials, and deviations from approved plans. Having insufficiently qualified workers can result in delays, increased costs, and poor quality. Regulation violations can lead to fines, project delays, and reputational damage. This study aims to investigate Turkish public building quality issues from both the perspectives of contractors and control officers to ensure successful project outcomes. The findings of this study will provide valuable insights for the public and private construction sectors into improving construction quality to ensure successful building projects.

https://doi.org/10.31462/jcemi.2025.01001018

Emrah Ergelen

The global construction industry is a large, fragmented and competitive industry with relatively low margins. When contractors are bidding for construction projects, where the lowest bidders are awarded the projects, there are several factors, which influence a contractor’s chances of winning. What exactly are these factors and to what extent do they affect a contractor’s chances of winning? To answer these questions, this research creates an empirical dataset of 858 public tenders in 95 countries in 2013-2019. A series of statistical analyses, including multivariate regressions, robustness checks with control variables and machine learning (Lasso), are performed, and three different empirical models are established each with an accuracy of around 90% for predicting winners. A bidder’s busyness in other works, experience in the tender country and project type, level of internationalization and age are found to be the factors influencing the bidder’s chances of winning the tenders. Contractors can utilize the results of this research in taking two crucial decisions, bid/no-bid and markup size decisions, to prevent a loss of opportunity, save resources, increase their winning probability and profits.

https://doi.org/10.31462/jcemi.2025.01019048

Oluseun Olubajo Rachel Oladoyin Olubajo

Coordinating the logistics of workers, equipment and materials from varying locations can be challenging. This is a concern for project managers because disruptions in construction work leads to losses in production and business. Research into offsite logistics in construction tends to focus on factors that can optimise the performance of construction logistics. Another theme in the literature focuses on the application of digital technologies in construction logistics. However, investigations that examine the dynamics associated with offsite construction logistics and their implications on the performance of construction projects is limited. This study analyses the influence of offsite construction logistics on project performance. This study adopted a survey approach with a structured questionnaire that was administered to 200 construction practitioners and obtained data from 176 respondents on key aspects of offsite construction logistics indicating an 88% response rate with a reliability of 0.911. The results of this study revealed that integrating construction equipment and digital technologies in offsite operations has a positive and significant influence on the time performance of construction projects. The findings of this study are of value to construction professionals struggling to manage disruptions or delays and seeking to improve the way they manage offsite logistics involving multiple parties. The study contributes to the literature on construction logistics by extending our understanding on key aspects of offsite logistics that significantly impact on the performance of construction projects. This study argues that offsite construction logistics can be managed to overcome disruptions or delays by integrating the use of digital technologies in monitoring work flow and construction equipment in concrete works among others.

https://doi.org/10.31462/jcemi.2025.01049063

Mahmut SARI Savaş Bayram Emrah AYDEMİR

The global construction industry faces significant risks due to disputes. This study aims to predict outcomes in construction dispute judicial decisions by analyzing the linguistic interaction between plaintiff claims and defendant defenses in Turkish, addressing a methodological gap in the literature. The research examines 2,563 Court of Cassation decisions in Turkiye from 2011-2021 (from 15,667 cases), organized into three datasets: containing both plaintiff claims and defendant defenses (Dataset I), only plaintiff claims (Dataset II), and all decisions (Dataset III). Dataset I uniquely captures the impact of defendant voice, demonstrating how including counterarguments significantly enhances model performance. Standard preprocessing techniques were applied to address Turkish morphological challenges. Among various feature extraction methods, TF-IDF demonstrated superior performance. The HistGradientBoosting achieved optimal performance, with Dataset I reaching 87.38% accuracy compared to 84.53% for Dataset II, proving that modeling mutual arguments enhances prediction beyond using plaintiff claims alone, exceeding success rates in comparable literature. This study pioneers a framework for analyzing the dialectics of legal texts in construction disputes, with applications across different legal systems.

https://doi.org/10.31462/jcemi.2025.01064088