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The study aims to assess the effectiveness of prevailing methods for quantifying physical climate risks. Its goal is to evaluate their utility in guiding financial decision-making within the real estate industry. Whilst climate risk has become a pivotal consideration in transaction and regulatory compliance, the existing tools for risk quantification frequently encounter criticism for their perceived lack of transparency and comparability.

We utilise a sequential exploratory mixed-methods analysis to integrate qualitative aspects of underlying tool characteristics with quantitative result divergence. In our qualitative analysis, we conduct interviews with companies providing risk quantification tools. We task these providers with quantifying the physical risk of a fictive pan-European real estate portfolio. Our approach involves an in-depth comparative analysis, hypothesis tests and regression to discern patterns in the variability of the results.

We observe significant variations in the quantification of physical risk for the pan-European portfolio, indicating limited utility for decision-making. The results highlight that variability is influenced by both the location of assets and the hazard. Identified reasons for discrepancies include differences in regional databases and models, variations in downscaling and corresponding scope, disparities in the definition of scores and systematic uncertainties.

The study assists market participants in comprehending both the quantification process and the implications associated with using tools for financial decision-making.

To our knowledge, this study presents the initial robust empirical evidence of variability in quantification outputs for physical risk within the real estate industry, coupled with an exploration of their underlying reasons.

The construction industry has struggled to deliver schemes on time to budget and right-first-time (RFT). There have been many studies into nonconformance and rework through quantitative research over the years to understand why the industry continues to see similar issues of failure. Some scholars have reported rework figures as high as 12.6% of total contract value, highlighting major concerns of the sustainability of construction projects. Separately, however, there have been few studies that explore and detail the views of industry professions who are caught in the middle of quality issues, to understand their perceptions of where the industry is failing. As such, this paper interrogates qualitative data (open-ended questions) on the topic of nonconformance and rework in construction to understand what industry professionals believe are the causes and suggested improvement areas.

A qualitative approach is adopted for this research. An industry survey consisting of seven open-ended questions is presented to two professional working groups within a Tier 1 contractor, and outputs are analysed using statistic software (NVivo 12) to identify prominent themes for discussion. Inductive analysis is undertaken to gain further insight into responses to yield recurrent areas for continuous improvement.

Qualitative analysis of the survey reveals a persistent prioritisation of cost and programme over quality management in construction project. Furthermore, feedback from construction professionals present a number of improvement areas that must be addressed to improve quality. These include increased training and competency investment, overhauling quality behaviours, providing greater quality leadership direction and reshaping the way clients govern schemes.

There are limitations to this paper that require noting. Firstly, the survey was conducted within one principal contractor with varying levels of knowledge across multiple sectors. Secondly, the case study was from one major highways scheme; therefore, the generalisability of the findings is limited. It is suggested that a similar exercise is undertaken in other sectors to uncover similar improvement avenues.

The implications of this study calls for quality to be re-evaluated at project, company, sector and government levels to overhaul how quality is delivered. Furthermore, the paper identifies critical learning outcomes for the construction sector to take forward, including the need to reassess projects to ensure they are appropriately equip with competent personnel under a vetted, progressive training programme, share collaborative behaviours that value quality delivery on an equal standing to safety, programme and cost and tackle the inappropriate resource dilemmas projects finding themselves in through clear tendering and accurate planning. In addition, before making erratic decisions, projects must assess the risk profiling of proceed without approved design details and include the client in the decision-making process. Moreover, the findings call for a greater collaborative environment between the construction team and quality management department, rather than being seen as obstructive (i.e. compliance based policing). All of these must be driven by leadership to overhaul the way quality is managed on schemes. The findings demonstrate the importance and impact from open-ended survey response data studies to enhance quantitative outcomes and help provide strengthened proposals of improvement.

This paper addresses the highly sensitive area of quality failure outcomes and interrogates them via an industry survey within a major UK contractor for feedback. Unique insights are gained into how industry professionals perceive quality in construction. From previous research, this has been largely missing and offers a valuable addition in understanding the “quality status quo” from those delivering schemes.

The purpose of this study is to explore how the South African government has used accounting technologies to manage the pervasive issue of racial inequality.

Premised on Foucault’s notion of governmentality, we conducted a qualitative case study. Publicly available archival data are used to determine the extent to which accounting techniques have helped to shape policy responses to racial inequality.

We show that accounting techniques and calculations give visibility to the problems of government and help design a programme to solve racial inequality. The lived experiences and impacts of racism in the workplace have been problematised, turned into statistics, and used to rationalise the need for ongoing government intervention in solving the problem. These processes underpin the development of the scorecard system, which measures the contributions firms have made towards minimising racial inequalities.

This study augments the existing body of Foucauldian literature by illustrating how power dynamics can be counteracted. We show that in governmental processes, accounting can exhibit a dual role, and these roles are not always subordinate to the analysis of political realities. The case of B-BBEE reveals the unintended consequences of utilising accounting to control the conduct of individuals or groups.

The field of library and information sciences (LIS) is crucial to our educational system. Across the globe, the LIS systems operate at varying levels and rates of efficiency. One of the developing nations is Pakistan, which has LIS systems in all of its colleges, universities and schools. This multimethod study aims to identify and quantify elements that are detrimental to LIS progress as well as evaluate the faculty and infrastructure profiles of universities that offer LIS undergraduate and graduate level programmes.

Data was collected from the study's participants, who were mainly LIS professionals and faculty at 17 different universities, using survey questionnaires and in-person interviews. This study used a descriptive survey methodology, gathering information through a Google Survey and filling it out with a premade survey proforma. The survey responses were examined using content analysis. The development of LIS instructional and scholarly output is influenced by a variety of factors, which were investigated using a generalized linear model (GLM). To determine whether there was a statistically significant difference in opinion between faculty members and working professionals, as well as between men and women, the outcomes of an independent sample t-test were examined.

According to our data, the factors that have the biggest impact on the caliber and output of LIS research are “poor writing skills” (3.43), “lack of journal publication fees” (3.51) and “lack of research skills” (3.78). The top GLM model identified poor writing skills, a lack of publication fees and a lack of research expertise as bottleneck characteristics for producing high-quality LIS research. The aforementioned factors were 3.62, 2.41 and 2.19 times more significant than the average factor, respectively, to put it another way.

This study’s analysis revealed that there is no real distinction between the two groups' viewpoints. The results of this study can be applied to problems and challenges associated with LIS education in Pakistani educational institutions.

Selecting and scheduling optimal project portfolio simultaneously is a complex decision-making problem faced by organizations to realize the strategy. However, dynamic synergy relationships among projects complicate this problem. This study aims at constructing a project portfolio selection and scheduling (PPSS) model while quantifying the dynamic synergetic effects to provide decision support for managing PPSS problems.

This study develops a mathematical model for PPSS with the objective of maximal project portfolio benefits (PPBs). To make the results align with the strategy, comprehensive PPBs are divided into financial and non-financial aspects based on the balanced scorecard. Then, synergy benefits evolve dynamically in the time horizon, and system dynamics is employed to quantify them. Lastly, a case example is conducted to verify the applicability of the proposed model.

The proposed model is an applicable model for PPSS while incorporating dynamic synergy. It can help project managers obtain the results that which project should be selected and when it should start while achieving optimal PPBs.

This study complements prior PPSS research in two aspects. First, financial and non-financial PPBs are designed as new criteria for PPSS, making the results follow the strategy. Second, this study illuminates the dynamic characteristic of synergy and quantifies the synergetic effect. The proposed model provides insights into managing a PPSS effectively.

The aggressive competition in the real estate market forces real estate developers to tackle the challenge of selecting the best project construction phasing alternative. The real estate industry is characterized by high costs, high profit and high risks. The schedules of real estate projects are also characterized by having large number of repetitive activities that are executed over a long duration. The repetitiveness, long duration of execution, the high amounts of money involved and the high risk made it desirable to leverage the impact of changes in phasing plans on net present value of amounts incurred and received over the long execution and selling duration. This also changes the project progress, and delivery time as well as their respective impact on customer degree of satisfaction. This research addresses the problem of selecting the best phasing alternative for real estate development projects while maximizing customer satisfaction and project profit.

The research proposes a model that generates all construction phasing alternatives and performs decision-making to rank all possible phasing alternatives. The proposed model consists of five modules: (1) Phasing Sequencing module, (2) Customer Satisfaction module, (3) Cash-In calculation module, (4) Cost Estimation module and (5) Decision-making module. A case study was presented to demonstrate the practicality of the model.

The proposed model satisfies the real estate market's need for proper construction phasing plans evaluation and selection against the project's main success criteria, customer satisfaction and project profit. The proposed model generates all construction phasing alternatives and performs multi-criteria decision making to rank all possible phasing alternatives. It quantifies the score of the two previously mentioned criteria and ranks all solutions according to their overall score.

The research proposes a model that assist real estate market's need for proper construction phasing plans evaluation and selection against the project's main success criteria, customer satisfaction and project profit. The proposed model can be used to conclude general guidelines and common successful practices to be used by real estate developers when deciding the construction phasing plan. In this study the model is based on business models where all the project units are sold, rental cases are not considered. Also, the budget limitations that might exist when phasing is not considered in the model computations.

The model can be used as a complete platform that can hold all real estate project data, process revenues and cost information for estimating profit, plotting cash flow profiles, quantifying the degree of customer satisfaction attributable to each phasing alternative and providing recommendation showing the best one. The model can be used to conclude general guidelines and common successful practices to be used by real estate developers when tackling the challenge of selecting construction phasing plans.

Safety program initiatives in the construction industry remain below the desired level, especially in developing countries, and the reasons for low adoption are not well established. This study aims to investigate and quantify the impact levels of the key barriers to safety program initiatives in the construction industry in Iraq.

The study used a multi-method research design to assess the barriers to safety program initiatives in the construction industry in Iraq. Initially, a comprehensive literature review was conducted to identify potential barriers. Following this, semi-structured interviews with construction professionals were conducted to gather in-depth insights. Thematic analysis was then applied to analyze the results of these interviews. Subsequently, a questionnaire survey was developed based on the findings from the literature review and interviews to quantitatively measure the impact of the identified barriers among a broader group of construction professionals. Finally, a fuzzy synthetic evaluation (FSE) was used to assess the overall impact of these barriers comprehensively.

The results showed that the top three key barriers to the implementation of construction safety programs in Iraq include tight project schedules, inadequate commitment to safety and the lack of safety rules and policies. A FSE indicated that each group of barriers, including unsupportive industry norms, poor safety awareness, an unconducive work climate and poor governance, significantly hinders safety program implementation in the Iraqi construction industry.

The study was conducted in the construction industry of Iraq, specifically focusing on Baghdad, Anbar, Basra and Erbil governorates, as these cities are prominent within the country. In addition, this research exclusively captured the perspectives of construction consultants, contractors and clients.

The findings suggest that improving supportive and safety-aware industry norms, increasing safety awareness, generating a safe work climate and culture and improving safety governance can significantly influence the widespread adoption of safety programs in the construction industry. To the best of the authors’ knowledge, this constitutes the first study to quantify the impact levels of barriers to construction safety program initiatives in developing countries. It provides additional insight to promote a safer construction industry. Moreover, the findings can notably be used by construction practitioners and policymakers to develop and successfully implement safety programs in construction.

This study aims to develop an assessment model for identifying the primary barriers to safety program initiatives within the construction industry of developing countries, exploring deeper into the barriers that impede the adoption of safety programs in construction, and providing valuable insights that could serve as a foundation for crafting strategies to enhance safety program initiatives within the industry.

Businesses are increasingly vulnerable and exposed to physical climate change risks, which can cascade through local, national and international supply chains. Currently, few methodologies can capture how physical risks impact businesses via the supply chains, yet outside the business literature, methodologies such as sustainability assessments can assess cascading impacts.

Adopting a scoping review framework by Arksey and O'Malley (2005) and the PRISMA extension for scoping reviews (PRISMA-ScR), this paper reviews 27 articles that assess climate risk in supply chains.

The literature on supply chain risks of climate change using quantitative techniques is limited. Our review confirms that no research adopts sustainability assessment methods to assess climate risk at a business-level.

Alongside the need to quantify physical risks to businesses is the growing awareness that climate change impacts traverse global supply chains. We review the state of the literature on methodological approaches and identify the opportunities for researchers to use sustainability assessment methods to assess climate risk in the supply chains of an individual business.

This paper aims to propose a Shariah-compliant multi-period fuzzy portfolio optimization model that accounts for Shariah compliance through purification processes and incorporates various Shariah constraints, including sustainability constraints. This model aims to ensure both ethical alignment and robust portfolio management while navigating modern financial complexities and fostering responsible and sustainable investment practices.

The methodology involves a dynamic programming method to solve the proposed program, with returns of the assets assumed to be trapezoidal fuzzy variables. This approach allows for the quantification of portfolio return and risk by the possibilistic mean and semivariance of the fuzzy returns, respectively. A numerical study based on real stock market data tests the efficiency of the proposed algorithm.

The research showcases the model’s effectiveness in managing Shariah-compliant portfolios under financial uncertainties and supports the importance of incorporating ethical and sustainability constraints in investment decisions. It highlights the capability of the proposed model to offer a structured approach to ethical investing within the Islamic finance framework.

While the paper provides a solid foundation for Shariah-compliant portfolio optimization, it acknowledges the complexity and computational demands of the model. Future research could explore simplifying the model without compromising its ethical and Shariah-compliant principles.

This work introduces a novel integration of Shariah compliance with fuzzy portfolio optimization techniques, addressing the need for dynamic, ethical investment strategies in Islamic finance. The incorporation of purification processes and sustainability constraints into a fuzzy portfolio optimization model represents a unique contribution to the field.

This review article advocates for a holistic approach to interpreting and addressing urban poverty through the proposal of “poverty-free urbanism” (PFU). By introducing PFU as a holistic approach to measuring poverty from a deprivation perspective, this article confronts the multifaceted challenges of urban poverty, transcending mere material limitations.

Through an exhaustive qualitative literature review and content analysis, the study identifies six qualitative normative factors: availability, productivity, innovativeness, diversity, fairness, and well-being.

While promising, the applicability and effectiveness of PFU across diverse urban contexts necessitate further refinement and empirical validation. Future research endeavors should prioritize clarifying the concept of PFU, exploring its practical implementation in varied urban settings, and offering actionable recommendations for fostering inclusive and equitable urban development.

These factors, rooted in critical processes such as ensuring essential services, promoting entrepreneurial activities, fostering bottom-up community development, facilitating dynamic typo-morphological transformations, addressing social exclusion and inequality, and promoting healthy communities, offer a holistic approach for policymakers and practitioners in devising sustainable poverty alleviation strategies.