Kerim Koc

Project selection is of great importance for effective project management, aligning organizational goals that drive opportunities in the construction industry. Green building projects have gained significant momentum over the years as the construction industry seeks sustainable solutions to address environmental challenges. The choice between green and traditional projects impacts not only contractors’ financial performance and market competitiveness but also their environmental footprint, regulatory compliance, and alignment with broader societal goals. This decision requires careful consideration of both short and long-term benefits to support sustainable development. Accordingly, the purpose of this study is to identify critical factors influencing the selection of green over traditional building projects using the Choosing by Advantages (CBA) method. By doing so, it aims to address a gap in the literature by examining project selection factors through the lens of the CBA method. A systematic literature review was conducted to identify these factors, with a focus on comparative studies of green and traditional building projects. The review identified 14 key factors categorized into four groups: (i) operational, (ii) financial, (iii) environmental, and (iv) legal. Among these, environmental factors emerged as the most critical, with “energy consumption” and “environmental protection degree of building materials” identified as the most significant sub-factors. This study provides valuable insights for researchers and practitioners, offering critical factors for implementing the CBA method in project selection. It also establishes a basis for developing green project selection criteria in the construction industry, ultimately supporting more sustainable project choices.

The construction industry is transforming significantly, with emerging technologies reshaping project management by enhancing efficiency, sustainability, and safety. This study examines the integration of these innovations into Chad’s construction sector, drawing on insights from 79 industry participants. Given Chad’s unique economic and infrastructural landscape, understanding the practical implementation of these technologies is crucial. This research demonstrated strong reliability and validity through exploratory factor analysis, with a KMO value above 0.75, statistical significance at p < 0.001, and a Cronbach’s Alpha exceeding 0.8. Using Promax rotation, this study identified 15 key factors, providing valuable insights into how technologies such as Building Information Modeling (BIM), Artificial Intelligence (AI), the Internet of Things (IoT), and Digital Twin technology are transforming construction processes. These tools enhance design accuracy, facilitate real-time decision-making, and minimize material waste while supporting global sustainability goals, including the United Nations’ Sustainable Development Goals (SDGs). Examining the adoption of these technologies within Chad is particularly important, as the country faces unique challenges that demand tailored solutions. While digital transformation in the construction industry has been widely studied worldwide and in Africa, Chad’s industry remains relatively unexplored in this regard. This research bridges this gap by identifying both the opportunities and the barriers to technological integration in the sector. Embracing these innovations could help modernize Chad’s construction industry, addressing persistent inefficiencies and promoting environmental sustainability. However, widespread adoption is hindered by significant challenges, including high implementation costs, limited access to advanced tools, and a shortage of skilled professionals. Overcoming these obstacles will require strategic investments in education, infrastructure, and supportive policies. By fully leveraging technological advancements, Chad has the potential to build a more competitive, resilient, and sustainable construction industry, driving national development while aligning with global sustainability initiatives.

The construction industry is experiencing a sweeping transformation as innovative technologies revolutionize project management, enhancing efficiency, sustainability, and safety. This study examines the integration and impact of these technologies in Chad’s construction sector, leveraging data from 79 industry participants. The research demonstrated strong reliability and validity using exploratory factor analysis, with a KMO value exceeding 0.75, statistical significance below 0.001, and a Cronbach’s Alpha above 0.8. The analysis, supported by Promax rotation, identified 15 significant factors, providing a deeper understanding of how tools like Building Information Modeling (BIM), Artificial Intelligence (AI), Internet of Things (IoT), and Digital Twin technology are reshaping construction processes. These advancements facilitate improved design accuracy, real-time decision-making, and reduced material waste while aligning with global sustainability goals such as the United Nations' SDGs. Adopting these technologies presents a crucial opportunity for Chad to modernize its construction industry and address challenges like resource inefficiency and environmental sustainability. However, significant barriers, including high implementation costs, restricted access to advanced tools, and a shortage of skilled professionals, hinder broader adoption. Overcoming these obstacles will require strategic investments in education, infrastructure, and supportive policies. By fully embracing innovation, Chad can develop a more resilient and sustainable construction sector, contributing to national growth and aligning with international sustainability efforts.

The construction industry, being labor-intensive, prioritizes productivity to boost project performance, yet struggles to achieve expected levels despite increased focus by scholars and practitioners. This lagging causes significant losses in time, cost, and quality performance of construction projects but also broader implications for resource efficiency and environmental impacts. As a remedy to the multifaceted issue, this study aims to identify and evaluate life cycle risks of productivity management in construction projects in Türkiye. A comprehensive literature review identified risk factors affecting labor productivity, followed by a discussion session to finalize the decision framework, including life cycle phases of productivity management and risk factors in each phase. Then, the fuzzy analytical hierarchy (AHP) process revealed the most critical risk factors in each phase, followed by semi-structured interviews to reveal measures for addressing the most significant risks. The findings show that productivity management in construction projects contains nine phases. In addition, the most important factors were chiefly related to collaboration, information sharing, lack of supervision, work interruptions, and changes. Findings from semi-structured interviews emphasize regular employee training and open communication to enhance project outcomes, optimize workflows, and promote sustainability. The study’s key contribution is introducing a life cycle approach to construction productivity management, a previously unexplored perspective. This provides an effective framework that can be implemented in construction projects to manage and improve labor productivity as a whole-life cycle approach.