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Celebrating Construction Management and Economics's (CME) 40th anniversary, the goal of this paper is to investigate the knowledge structure and evolution of research trends in CME since its inception. The associated objectives include: (1) analyzing CME's scholarly characteristics; (2) studying CME's publication output over time; (3) examining interconnectivities between CME's research trends; and (4) exploring the potential citation impact of recently published CME's papers. In doing so, this paper implemented a multistep methodology that consists of descriptive assessment, social network analysis (SNA), and predictive machine learning (ML). Results of descriptive assessment showed that CME has witnessed over the years a noticeable growth in the number of publications, citation trends, and collaborative research as depicted increased co-authorship, and that highest percentage of publications were related to "Strategy, Decision Making, Risk, and Finance", "Project planning and Design" and "Contemporary Issues". Output of SNA highlights that research areas with the highest interconnectivity included "Strategy, Decision Making, Risk and Finance" and "Project Planning and Design", and "Labor and Personnel Issues". Furthermore, predictive ML revealed that CME papers have a high probability of becoming high impact publications. In addition to that, the predictive ML results re-emphasized the outcomes of the performed descriptive assessment by reflecting the importance of "Contemporary Issues", "Organizational Issues", "Strategy, Decision Making, Risk, and Finance", and "Labor and Personnel Issues" as emerging research topics with increased potential impact in the future. Ultimately, this paper benefits all CME stakeholders by quantitatively studying current research patterns, their interconnectivities, and future potential. [ABSTRACT FROM AUTHOR]

Blockchain represents an evolving technology for distributed and secure recording and sharing of information. Meanwhile, blockchain has thrived in banking, finance, and supply chain; its usage within the construction industry is still in its infancy. To this end, the existing literature falls short in providing comprehensive quantitative understanding, within a systems-based analytic context, of the factors affecting blockchain utilization in construction applications. This paper fills this knowledge gap. The authors: (1) conducted an extensive literature review on blockchain implementation in the construction domain; (2) identified a list of 41 factors affecting blockchain implementation in construction projects categorized in four categories: challenges, needs, requirements, and capabilities; (3) utilized a social network analysis (SNA) approach on a database of 111 publications to quantitatively analyze the literature as related to the aforementioned factors; and (4) performed clustering analysis on the SNA graphs to determine the combinations of factors that are most likely co-occurring in research publications. SNA results indicate that while the most investigated factor was "increased trust and transparency between project parties", the least studied factors included: "cash upfront funding system", "change payment processes and procedures", "smart contracts design errors", "cryptocurrency fluctuations", "lack of sufficiently skilled personnel", and "increased awareness and capabilities of personnel". Also, clustering outcomes highlight that some combinations of factors are not well-represented in current scholarly efforts. Such imbalance and consequent knowledge gaps may contribute to the actual implementation rate of blockchain in construction applications. Ultimately, this paper provides a roadmap for potential future directions of blockchain construction-related research. [ABSTRACT FROM AUTHOR]