A value driven procurement decision tool

The Co-operative Research Centre for Construction Innovation (CRC-CI) is funding a project known as Value Alignment Process for Project Delivery. The project consists of a study of best practice project delivery and the development of a suite of products, resources and services to guide project teams towards the best procurement approach for a specific project or group of projects. This paper describes the development of a Decision Support Tool (DST) to assist clients in making procurement decisions based on the alignment of values and objectives as the drivers of project success. The DST will guide clients and project teams towards more effective and efficient delivery methods. It is designed to become progressively more robust through a continuous feedback loop, building on existing knowledge of successful actions which represent best practice. The usefulness of the tool to clients and their advisors will be apparent both at the ‘front end’ pre-procurement phase, and throughout the procurement phases of construction projects. The project profiling approach taken in this tool looks at projects as patterns of a series of dimensions: project size, complexity, predictability and objectives

Examining issues influencing green building technologies adoption : the United States green building experts' perspectives

Green building (GB) has been viewed as an effective means to implement environmental, economic, and social sustainability in the construction industry. For the adoption of GB technologies (GBTs) to continue to succeed and gain popularity, a better understanding of the key issues influencing its progress is crucial. While numerous studies have examined the issues influencing green innovations adoption in general, few have specifically done so in the context of GBTs. This study aims to investigate the underpinnings of GBTs adoption in the following areas: (1) the critical barriers inhibiting the adoption of GBTs, (2) major drivers for adopting GBTs, and (3) important strategies to promote GBTs adoption. To achieve these objectives, a questionnaire survey was carried out with 33 GB experts from the United States. Ranking analysis was used to identify the significant issues associated with GBTs adoption. Resistance to change, a lack of knowledge and awareness, and higher cost have been the most critical barriers. The major drivers for adopting GBTs are greater energy- and water-efficiency, and company image and reputation. The analysis results also indicate that the most important strategies to promote the adoption of GBTs are financial and further market-based incentives, availability of better information on cost and benefits of GBTs, and green labelling and information dissemination. The findings provide a valuable reference for industry practitioners and researchers to deepen their understanding of the major issues that influence GB decision-making, and for policy makers aiming at promoting the adoption of GBTs in the construction industry to develop suitable policies and incentives. This study contributes to expanding the body of knowledge about the influences that hinder and those that foster GBTs implementation

Driving factors for the adoption of green finance in green building for sustainable development in developing countries: The case of Ghana

While there are many motivating factors for green finance (GF) implementation, a comprehensive taxonomy of these variables is lacking in the literature, especially for green buildings (GBs). This study aims to analyze the criticality and interdependence of GF‐in‐GB's driving factors. This study develops a valid set of factors to justify the interrelationships among the drivers. The drivers of GF‐in‐GB are qualitative in nature, and uncertainties exist among them due to linguistic preferences. This study applies the fuzzy Delphi method to validate eight drivers under uncertainties. Fuzzy Decision‐Making Trial and Evaluation Laboratory (FDEMATEL) with qualitative information is used to determine the interrelationships among the drivers. The drivers were grouped under two categories: prominent drivers and cause‐effect drivers. The findings revealed that “increased awareness of GF models in GB” and “preferential capital requirements for low‐carbon assets” are the top two most prominent/important drivers of GF‐in‐GB. In Ghana, the top three cause group drivers are “climate commitment,” “improved access to and lower cost of capital,” and “favorable macroeconomic conditions and investment returns.” Drivers with the highest prominence values have the potential to affect and/or be affected by other drivers; therefore, managers and policymakers should prioritize promoting or pursuing these drivers in the short term. On the other hand, it is important to pay more than equal attention to the drivers with the highest net cause values because they have the largest long‐term impact on the entire system. The theoretical and practical implications of the study are discussed, enhancing understanding and decision‐making in GF‐in‐GB

The trans-ancestral genomic architecture of glycemic traits

Glycemic traits are used to diagnose and monitor type 2 diabetes and cardiometabolic health. To date, most genetic studies of glycemic traits have focused on individuals of European ancestry. Here we aggregated genome-wide association studies comprising up to 281,416 individuals without diabetes (30% non-European ancestry) for whom fasting glucose, 2-h glucose after an oral glucose challenge, glycated hemoglobin and fasting insulin data were available. Trans-ancestry and single-ancestry meta-analyses identified 242 loci (99 novel; P < 5 x 10(-8)), 80% of which had no significant evidence of between-ancestry heterogeneity. Analyses restricted to individuals of European ancestry with equivalent sample size would have led to 24 fewer new loci. Compared with single-ancestry analyses, equivalent-sized trans-ancestry fine-mapping reduced the number of estimated variants in 99% credible sets by a median of 37.5%. Genomic-feature, gene-expression and gene-set analyses revealed distinct biological signatures for each trait, highlighting different underlying biological pathways. Our results increase our understanding of diabetes pathophysiology by using trans-ancestry studies for improved power and resolution. A trans-ancestry meta-analysis of GWAS of glycemic traits in up to 281,416 individuals identifies 99 novel loci, of which one quarter was found due to the multi-ancestry approach, which also improves fine-mapping of credible variant sets.Peer reviewe