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This study examines the underlying relationships between the critical factors of building information modeling (BIM) implementation and the factors' groupings among architecture, engineering and construction (AEC) organizations in Saudi Arabia. The objectives of the study are to (1) identify the critical factors for BIM implementation, (2) analyze the interrelationships between the critical factors and (3) compare the critical factors between the different organizational characteristics.

First, potential factors were identified through a systematic literature review and interviews with AEC professionals. Then, a questionnaire survey was sent to AEC professionals and the collected data were analyzed using the following techniques and tests: mean score ranking, standard deviation, normalized value, factor analysis (FA), analysis of variance (ANOVA) and post-hoc Tukey test.

The analyses show that 14 factors are critical for BIM implementation in Saudi Arabia. The top critical factors include the existence of standard contracts on data security and user confidentiality, consistent views on BIM among stakeholders and the availability of guidelines for implementing BIM. Of the 14 critical factors, 9 can be grouped into 4 underlying factors: environmental, governmental, legal and organizational. The analysis shows that the criticality of the most critical factors grouped by the FA varies between different levels of BIM competency. Finally, the presence of public–private partnerships (PPPs) in realizing BIM projects is a new and emerging critical factor for BIM implementation in Saudi Arabia.

This study differs from prior works on BIM implementation in Saudi Arabia by using FA to explore the underlying relationships among factors of BIM implementation and the factors' groupings. Based on the FA results, a roadmap for implementing the BIM was developed. These findings will help to purposefully and efficiently customize BIM implementation strategies and initiatives to ensure successful BIM implementation in Saudi Arabia.

This study aims to empirically analyze the symmetries and asymmetries among the critical factors affecting building information modeling (BIM) implementation between countries with different income levels. To achieve that aim, the study objectives are to identify: critical factors affecting BIM implementation in low-, lower-middle-, upper-middle- and high-income countries; overlapping critical factors between countries with different income levels; and agreements on the critical factors between countries with different income levels.

This study identified potential BIM implementation factors using a systematic literature review and semi-structured interviews with architectural, engineering and construction (AEC) professionals. Then, the factors were inserted into a questionnaire survey and sent to AEC professionals in Afghanistan, India, Malaysia and Saudi Arabia. The collected data was analyzed using the following techniques and tests: mean, standard deviation, normalized value, Kruskal–Wallis, Dunn and Mann–Whitney.

Five critical factors overlap between all countries: “availability of guidelines for implementing BIM,” “cost-benefit of implementing BIM,” “stakeholders’ willingness to learn the BIM method,” “consistent views on BIM between stakeholders” and “existence of standard contracts on liability and risk allocation.” Also, the criticality of the factors often differs between income levels, especially between low- and high-income countries, suggesting a significant gap between low- and high-income countries in BIM implementation.

This study differs from prior works by empirically analyzing the symmetries and asymmetries in BIM implementation factors between countries with different income levels (i.e. low-, lower-middle-, upper-middle- and high-income countries).

Referring to “behavioural finance” and “normative model” theories, this study explores the relative significance of behavioural heuristic biases in the investment decisions of real estate investment trusts (REITs) when compared with the conventional normative decision factors, with an ultimate aim to identify the significant behavioural factors that should be avoided to ensure rational asset acquisitions and market efficiency.

A triangulation approach was adopted. Qualitative multiple case studies were conducted, with four cases selected from Australian and New Zealand REITs across the industry, to identify what normative and behavioural finance factors are involved in investment decisions. This formed the basis for the subsequent expert review survey to explore how significant the behavioural factors were manifested in the judgement when compared with the normative factors.

Three out of four theoretical behavioural factors manifested themselves in the investment decisions: investor sentiment, anchoring factors and overconfidence. The overall impact of these three behavioural factors was that they were as significant as normative factors in investment decisions. The heuristic availability of information was found to have no significant effect on experienced REIT fund managers.

The findings were based on four multiple cases and an expert review survey of six frontline fund managers, which form a baseline upon which further research can be conducted to widen the scope of research to cover all REITs in Australasia so that the results can become more robust to benefit the entire market in the region.

As behavioural factors are significant in the decision-making process, REIT fund managers should raise awareness to avoid the significant behavioural factors identified, in particular investor sentiment, which was found to be the most significant one.

This study confirms the relative significance of behavioural factors in property investment decisions within the context of Australasian REITs and alerts fund managers to the ways they should follow to ensure rational investments and market efficiency. It also extends the scale of existing studies to cover not only Australia but also New Zealand for the benefit of the entire Australasian market.

Few have studied the relationship between employment and health in the Medicaid population. The purpose of this study is to estimate the impact of job loss on the mental health of working Medicaid beneficiaries.

This study conducted a post hoc analysis of 1,538 adult Medicaid beneficiaries enrolled in a prospective cohort study. The authors matched participants who lost their job to participants who remained employed based on demographics, illness severity and social determinants of health. The authors estimated the effect of job loss on the odds of a diagnosis of depression and/or anxiety and self-reported mental health during a one-year follow-up period, stratified by prior history of depression and/or anxiety as documented in the Medicaid claims.

Among participants with no preexisting depression or anxiety, the incidence of depression or anxiety was 17% versus 7% (aOR = 2.85; 95% confidence interval (CI): 1.88 to 4.34) between those who lost versus kept their job, respectively, and the mean difference in self-reported mental health was −4.3 (95% CI: −6.02 to −2.58). Self-reported mental health was also poorer between those who lost versus kept their job among participants with preexisting depression and/or anxiety (x = −4.78 (95% CI: −8.90 to −0.66).

Limitations of this study are as follows: we may not have matched on all factors that influence retaining a job; we do not distinguish between involuntary and voluntary job loss; generalizability is limited; and employment information is based on self-report.

Our society should invest more resources into supporting low-wage workers such as Medicaid beneficiaries.

Active labor policies that connect people to jobs, help them retain their job and support skills training to secure a better quality job, could reduce health disparities in the Medicaid population.

Use of both claims and self-reported mental health information to evaluate the impact of job loss on working Medicaid beneficiaries.

The purpose of this study was to develop an environment-friendly finishing process for coloring and functionalizing fabrics using the extracts from aronia fruit (AF) and/or aronia leaf (AL).

Coloring and functional compounds were extracted from both AF and AL to prepare dyeing and finishing agents for textiles. The bioactive compounds were identified, and their concentrations were determined by spectrophotometry and high-performance liquid chromatography. The extracts were then used to dye and finish natural fibers. The cotton and wool fabrics treated with AF, AL and a combination of AF + AL extracts were investigated in terms of coloring properties and functionalities, specifically antioxidant capacity and antibacterial property.

According to the obtained results, AF extracts contained significant amounts of anthocyanins and phenols while AL extracts contained higher amounts of phenols with very low levels of anthocyanins. It was successfully demonstrated that the AF and AL extracts can be used to dye fabrics with good color properties. Moreover, textiles treated with aronia extracts inhibited the growth of gram-negative and gram-positive bacteria and exhibited antioxidant properties.

AF extract showed superior coloring and functional properties compared to AL extract. However, the treatment solution containing both AF and AL extracts demonstrated significant synergic effects on the antibacterial and antioxidant properties of the treated fabrics.

The health, well-being and productivity (i.e. WELL) of office building occupants are vulnerable to poor office environments. Therefore, this study aims to identify new features and concepts of office buildings in supporting occupants’ WELL. To achieve that aim, this study: explores new WELL features for office buildings, develops new WELL concepts for office buildings and examines the influence of the newly developed WELL concepts on existing WELL building standard (WELL v2) concepts.

The first phase involved ten experts to assign weightage for health, well-being and productivity. In the second phase, 206 questionnaire survey data were collected from office building occupants throughout Malaysia. Exploratory factor analysis established new WELL concepts for office buildings. Partial least-squares structural equation modelling examined the influence of the newly developed WELL concepts on the existing WELL v2 concepts.

Two new WELL concepts were developed: “space and services”, consisting of sufficient space, workstation privacy, office layouts, building automation systems, cleanliness and information technology (IT) infrastructure, and “building security”, consisting of security systems and safety at parking lots. Here, “space and services” influences all existing WELL v2 concepts, and “building security” influences the water, nourishment, mind and community concepts of WELL v2.

This study uncovers holistic WELL building concepts to support occupants’ health, well-being and productivity with additional new features and concepts for construction industry policymakers to establish holistic building assessment tools.

This research aims to explore the research data ethics governance framework and collaborative network to optimize research data ethics governance practices, to balance the relationship between data development and utilization, open sharing, data security and to reduce the ethical risks that may arise from data sharing and utilization.

This study explores the framework and collaborative network of research data ethics policies by using the UK as an example. 78 policies from the UK government, university, research institution, funding agency, publisher, database, library and third-party organization are obtained. Adopting grounded theory (GT) and social network analysis (SNA), Nvivo12 is used to analyze these samples and summarize the research data ethics governance framework. Ucinet and Netdraw are used to reveal collaborative networks in policy.

Results indicate that the framework covers governance context, subject and measure. The content of governance context contains context description and data ethics issues analysis. Governance subject consists of defining subjects and facilitating their collaboration. Governance measure includes governance guidance and ethics governance initiatives in the data lifecycle. The collaborative network indicates that research institution plays a central role in ethics governance. The core of the governance content are ethics governance initiatives, governance guidance and governance context description.

This research provides new insights for policy analysis by combining GT and SNA methods. Research data ethics and its governance are conceptualized to complete data governance and research ethics theory.

A research data ethics governance framework and collaborative network are revealed, and actionable guidance for addressing essential aspects of research data ethics and multiple subjects to confer their functions in collaborative governance is provided.

This study analyzes policy text using qualitative and quantitative methods, ensuring fine-grained content profiling and improving policy research. A typical research data ethics governance framework is revealed. Various stakeholders' roles and priorities in collaborative governance are explored. These contribute to improving governance policies and governance levels in both theory and practice.

Floods are among the most frequent urban disasters in cities of the global south where capacity and resource limitations collude with rapid urbanization to force many poor people to live in flood prone settlements. This paper investigated the impact of flood disasters on social resilience of low-income communities in Mzuzu City, Malawi.

Using a quantitative design, 345 households were interviewed in Zolozolo West and Mzilawaingwe Wards in Mzuzu City. The survey instrument achieved a 100% response rate. A reliability test using Cronbach’s alpha showed internal consistency of survey instrument at 0.711 for Zolozolo West Ward and 0.730 for Mzilawaingwe Ward.

Out of the eleven indicators of social resilience used in this study, six indicators showed no correlation with the outcome expectancy of social resilience. Of the five indicators that showed relationship with social resilience, only improvisation and inventiveness (r_s = 0.356, p = 0.000 at two-tailed, n = 213; r_s = 0.610, p = 0.000 at two-tailed, n = 132) had a strong relationship with the outcome expectancy of social resilience.

The study was only conducted in two settlements; caution should be observed when generalizing the results.

Practitioners should ensure that social resilience strengthening mechanisms are incorporated in flood risk management as they strive to achieve SDG 11 of making cities inclusive, safe, resilient and sustainable.

The study showed how floods can negatively impact the social resilience of low-income communities, which is different from common knowledge that floods can enhance community social resilience.

This study aims to understand the necessity of entrepreneurship in a poor emerging economy, where the supportive entrepreneurial ecosystem is not in place.

In the years 2015 and 2019, this study survey first-time small-scale emerging entrepreneurs within the new entrepreneurial ecosystem in Cuba.

The results suggest that the entrepreneurial environment has deteriorated and declined over this period. The study contributes to the understanding of high-vulnerability regions and poverty conditions as found in some emerging economies. This study contributes to the wider literature on policies that inhibit or stimulate necessity entrepreneurship in emerging economies.

The study responds to calls for a better understanding by offering new insights into necessity entrepreneurship in challenging contexts under poverty and crisis; and the ways for recovery. It provides insights into the underexplored Cuban economy.