Building information modeling (BIM) implementation is expanding over time, and collaboration is becoming more critical in construction projects. Leadership characteristics may contribute to or hinder the effectiveness of these collaborations in BIM-based construction projects. However, the current body of knowledge lacks information on the leadership characteristics that can be constructive or destructive for BIM-based construction projects. Therefore, this study aims to determine the constructive and destructive leadership behaviors, skills, styles, and traits in BIM-based construction projects. An explorative qualitative study was conducted by interviewing twenty architecture, engineering, and construction (AEC) professionals. Then, the thematic analysis approach was used to analyze the interview data. The study findings suggest that common constructive leadership behaviors are tolerant and committed. Furthermore, the common constructive leadership trait and style is reliability. On the contrary, the common destructive leadership behavior is intolerant. This study provides the literature with a novel list of constructive and destructive leadership characteristics for BIM-based construction projects. Understanding these characteristics would assist industry professionals and policymakers in increasing the performance of BIM-based construction projects.
Prior works have suggested various strategies to increase construction waste recycling (CWR) rates. However, choosing the strategies is challenging without a lateral comparison. Therefore, this study aims to compare the usability of various strategies that target the enhancement of CWR implementation. To achieve this purpose, thirteen CWR enhancement strategies were identified from a systematic literature review. Then, questionnaire survey data were collected from 106 construction project managers. The collected data were analyzed via mean score ranking, normalization, overlap analysis, agreement analysis, and factor analysis. Additionally, the data were analyzed using a proposed formula for computing usability indexes using the cost, easiness, and effectiveness values. The results show that three strategies have high usability indexes: organize temporary bins in each construction zone, identify construction activities that produce recyclable materials, and enhance company policies related to CWR. These strategies with high usability indexes are consistent with the overlapping cheap, effective, and easy strategies. This study provides researchers and practitioners with optimal strategies for enhancing CWR implementation. Effective CWR enhancement strategies can improve CWR rates in construction projects. Future researchers can also adopt this study’s approach in computing usability indexes through questionnaire surveys.
This study aims to assess the barriers impeding cloud computing (CC) applicability in sustainable construction. A total of 11 barriers in the use of CC were identified for the literature review. A questionnaire survey was used to collect the data from construction stakeholders. In total, 101 valid responses were obtained and analyzed using mean ranking, normalized value (NV), overlapping analysis, Kruskal–Wallis H test, exploratory factor analysis (EFA), and fuzzy synthetic evaluation (FSE). The EFA extracted four interrelated components: social, economic, expertise, and connectivity. These components were exported for mathematical analyzing using the FSE technique. As a result, the FSE indicated that connectivity is the highest-impacted component, while the overall impact level of barriers is inclined to high regarding CC applicability in sustainable construction. This is due to other components having an average to high impact level. In this regard, the findings reflect the actual current status of developing countries in using CC in sustainable construction. These research findings will allow construction stakeholders to take proactive steps toward increasing the use of CC in their current and future sustainable construction. Decision-makers could also make accurate decisions that are well-informed in managing CC barriers. This paper provides stakeholders, researchers, and decision-makers with a list of CC barriers that hinder developing countries.
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