Although green building technologies (GBTs) have been advocated in the construction 12 industry to address sustainability issues, their adoption is still plagued with barriers. The 13 barriers that hinder GBTs adoption need detailed investigation. However, few studies have 14 been conducted on the barriers to GBTs adoption in developing countries such as Ghana. 15 This study aims to investigate the critical barriers to GBTs adoption with reference to the 16 Ghanaian construction market. To achieve the objective, 26 barriers were identified from a 17 comprehensive literature review, and a questionnaire survey was performed with 43 18 professionals with green building experience. The ranking analysis results indicated that 20 19 barriers were critical. The top three most critical barriers were higher costs of GBTs, lack of 20 government incentives, and lack of financing schemes (e.g., bank loans). A comparative

The analytic hierarchy process (AHP) has gained increasing attention in construction management (CM) domain as a technique to analyze complex situations and make sound decisions. However, AHP per se or its potential applications on CM problems are ill-defined within extant literature. The present paper reviews 77 AHP-based papers published in eight selected peer-reviewed CM journals from 2004 to 2014 to better define and delineate AHP application areas and decision-making problems solved within CM. The findings indicated that risk management and sustainable construction were the most popular AHP application areas in CM. It was also revealed that AHP (1) is flexible and can be used as a stand-alone tool or in conjunction with other tools to resolve construction decision-making problems; and (2) is widely used in Asia. In addition, the most prominent justifications for using AHP were found to be small sample size, high level of consistency, simplicity and availability of user-friendly software. This paper provides a useful reference for researchers and practitioners interested in the application of AHP in CM. Future research is needed to compare and contrast between AHP and other multicriteria decision-making methods; such work could reveal which techniques provide optimized solutions under various decision-making scenarios.

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Abstract. The Delphi method has been used as a main research method by a growing number of researchers in the Construction Engineering and Management (CEM) field in the past two decades. Although a number of studies are available on the use of Delphi, few researchers fully examine the potential of the Delphi method in the combined use of statistical techniques, which is an inevitable trend for future Delphi research. This paper aims to review the combined use of Delphi and other quantitative methods in the CEM field based on a structured literature review of 88 relevant papers. All of the 88 papers are systematically identified from ten well-known peer-reviewed CEM journals published in the period of 1990-2012. Topic coverage, application requirements, and statistical techniques in the 88 Delphi papers are reviewed. The mix use of the Delphi method with three advanced modelling methods, such as Fuzzy Sets, Analytical Hierarchy Process, and Analytical Network Process is also examined. These review results provide practical references for researchers having interests in applying Delphi method in CEM research.Keywords: Delphi method; Construction engineering and management research; Quantitative perspective; Review IntroductionThe Delphi method is a structured communication and consensus building approach amongst a group of experts on a complex problem (Chan et al. 2001). This method refers to an iterative process where consensus is often reached through rounds of feedbacks of experts' opinion and judgment on a particular subject (Hallowell and Gambatese 2010b). Although sometimes the reliability of the findings derived from a Delphi study may raise some controversy because of the inappropriate design and execution of the Delphi study, such as shortcomings of the survey instrument, poor choice of experts, weak bias control, unreliable analyses, and limited feedback during the study (Gupta and Clarke 1996;Keeney et al. 2001), the Delphi method remains a particularly useful alternative for the situation when objective data are unattainable, there is a lack of empirical evidence, or experimental research is unrealistic or unethical (Hallowell and Gambatese 2010b).As an established profession in the construction industry, CEM is a practice-driven field in nature. Many research questions in this field need to address the impacts of individuals, organizations and the society on construction management activities, particularly those on planning, forecasting and decision making activities (Fellows and Liu 2009). The key to resolve these problems should draw upon the collective knowledge and experience of selected experts in a given area. By contrast to other methods such as interviews, Delphi provides a more reliable and efficient alternative for solving these problems with high uncertainty (Chan et al. 2001). Therefore, a growing number of researchers have adopted Delphi method in CEM research since the early 1990s (Hallowell and Gambatese 2010b).Although many researchers regard Delphi as a qualitative method (Hasson et ...

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