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To realize full benefits without sacrificing the practicality of such projects, the decision-making process for residential building construction needs to include sustainability principles at every level. Therefore, this paper aims to investigate the applicability of radio frequency identification (RFID) and identify the barriers that impede its successful adoption in construction projects to achieve sustainability.

This paper opted for a quantitative approach by using a structured questionnaire survey. A total of 107 responses were collected from Nigerian construction practitioners involved in private and public construction businesses.

The results showed the high cost of RFID implementation, with a mean score of 4.42 as the top-ranked barrier, followed by lack of security, maintenance, power availability and inadequate training. This study further deployed Ginni’s mean difference measure of dispersion and revealed that the stationary barrier to adopting RFID technology is the lack of demand.

The findings of this research can assist decision-makers in improving the sustainability of all building projects by implementing RFID.

The findings of this study will serve as the basis for comprehension and critically evaluate the numerous barriers preventing the widespread adoption of RFID technology.

The purpose of this paper is to examine the effect of unemployment during the COVID-19 pandemic on mental health, quality of life and the labour market outcome across North and Southern Nigeria.

Data was obtained from staff laid off in selected tertiary institutions in North East and South West Nigeria using a self-administered questionnaire with a total sample size of 185. Findings are shown using the heteroscedastic linear regression and descriptive statistics.

The results showed a significant negative effect of unemployment during the pandemic on mental health and quality of life. Less than half of those laid off are reabsorbed into the labour market with the majority in the South than the Northern region and most are in self-employment.

The coronavirus pandemic negatively affected the human race, with a huge socio-economic impact linked to health and well-being. This reality calls for attention to the role it played on mental health and the quality of life as well as how it has influenced the labour market. Labour empowerment during a pandemic is key to cushion the effect of pandemics on health and the labour market. This can be in the form of skill empowerment and increased access to funds for business start-ups to enable self-employment that typifies the labour market after a pandemic. This in turn will reduce mental health challenges and low quality of life associated with pandemics.

To the best of the authors’ knowledge, this research is the first in the literature that provides empirical evidence of the effect of unemployment during the pandemic on well-being captured using mental health and the quality of life in Nigeria. Findings on labour market outcomes due to the pandemic and across regions in Nigeria are also scarce in the literature.

This study aims to investigate the determinants of sustainability reporting in the Kingdom of Saudi Arabia (KSA).

Twenty unstructured interviews were conducted to understand thoroughly the determinants and motivations of sustainability reporting among Saudi petrochemical shareholding companies.

This study finds that cultural aspects, compliance with international best practice, competitiveness, reputation and legitimacy are common motivations for sustainability reporting in KSA.

This study has significant implications for industry, especially petrochemical and other highly polluting industries, and for policymakers. There are economic benefits to industry in adopting sustainability reporting, including transparency; and it is suggested that policymakers encourage industries to give more attention to sustainability reporting.

This study provides an original contribution to the extant literature on sustainability reporting, and incrementally adds to knowledge on sustainability reporting in KSA, Gulf cooperation council and Middle East North Africa region countries.

This study aims to examine the subjective well-being of self-employed persons relative to wage employees in Ghana. Two measures of subjective well-being, comprising life satisfaction and happiness, are considered.

The current study focuses on Ghanaian working adults, uses pooled cross-sectional datasets from the 2005 to 2014 World Values Survey (WVS), applies survey weights, estimates ordered probit models and computes marginal effects.

The results show that being self-employed is associated with a lower probability of being satisfied with life than being wage employed. The result for happiness is negative but not statistically significant. The perceived low level of life satisfaction among the self-employed in Ghana could explain the rationale behind the desire of some Ghanaians to seek wage employment rather than pursuing self-employment. The results also could partly explain the non-survival of some entrepreneurial firms in Ghana over time.

Data relating to factors such as business size, location (urban or rural), degree of internationalization (domestic or foreign), number of years of being in self-employment, the number of employees, financial knowledge and behavior and personality traits are unavailable in the WVS for analyses. The present study also uses a pooled cross-sectional dataset for the analyses; thus, causal inferences are not possible.

The study provides empirical evidence on the relationship between self-employment and subjective well-being in the context of Ghana. The study provides insights into how self-employed Ghanaians perceive well-being relative to wage employees.

Financial and nonfinancial disclosures (sustainable accounting) are crucial in the annual financial reports of many firms. This study aims to explore the dynamic relationship between sustainability disclosure quality (SDQ) and financial performance (FP) within mandatory disclosure frameworks. SDQ is evaluated across six dimensions, encompassing both the quality and quantity of disclosures, aiming to understand their reciprocal influence.

Using the generalized method of moments (GMM), this research analyzes data from 2013 to 2019, focusing on 99 listed Indian firms within the S&P Bombay stock exchange (BSE) 500 index. The study uses rigorous measurement criteria to assess SDQ and uses statistical methods to unveil the causal link between SDQ and FP.

The results show a positive causal connection between SDQ and FP, where organizations with good FP make relatively higher disclosures across FP proxies than their counterparts. Additionally, the study investigates the impact of research and development (R&D) expenditure and dividend payments (DIVD) on SDQ. Notably, lower R&D spending is associated with higher quality SDs, and companies with superior SDQ exhibit increased DIVD.

The findings advocate for strengthened regulatory compliance, incentivized sustainable practices and heightened reporting standards for a transparent business environment and achieving the relevant United Nations Sustainable Development Goals.

This research contributes original insights by uncovering the intricate relationship between SDQ and FP, shedding light on the impact of R&D expenditure and DIVD on SDQ. These findings contribute to a nuanced understanding of the interplay between FP and sustainability reporting within the context of mandatory disclosure frameworks.

Housing provides constructed space for human activities. Literature indicates that housing impacts wealth, education attainment and health outcomes, among others. Because of its contributions to society, it is essential to develop and implement strategies that address the housing shortage experienced in most cities across the globe. This study aims to unpack the factors affecting housing production in the UK and chart the way forward.

In addressing this study's aim, an interprivitst approach was adopted and semi-structured interviews were conducted with 18 experienced professionals. Data were collected across the four nations of the UK (England, Wales, Scotland and Northern Ireland).

The results indicated that the opportunistic behaviour of stakeholders is one of the main factors affecting housing production in the study area. Also, modern construction methods, collaborative practices, government intervention and affordable housing schemes were identified as key strategies for addressing housing production factors.

This study identified strategies for mitigating housing production issues that provide a focal point to all stakeholders keen on filling the housing shortage gap and improving productivity to channel their resources and effort accordingly.

To the best of the authors’ knowledge, this study is one of the first to empirically analyse the influencing factors on the housing gap in the UK from the perspective of the supply side to provide information that could lead towards closing the said gap.

This study aims to assess the sources of COVID-19 information respondents relied for COVID-19 pandemic information access and use, forms of misinformation and their influence on COVID-19 vaccine uptake hesitancy among frontline workers.

A Google Form developed questionnaire, distributed conveniently through link shared through WhatsApp groups was used to collect data from frontline workers from Dar es Salaam and Dodoma cities. Analysis was done using a binary regression analysis.

It was found that it was not the source that mattered for one to be hesitancy or not on COVID-19 vaccination, but the extent to which the information the source channels was manipulated or false.

Relying only Google Form questionnaire sent through a link on WhatsApp may have compromised the quality of information gathered and the quality of conclusion. Another study may have conducted through researcher administered questionnaire to a bigger sample to increase conclusion reliability and validity.

This study urges that to increase the COVID-19 vaccine uptake, it is important to ensure that the quality of information from the revealed dependable sources is checked to avoid possible consequential disquiet resulting from misinformation.

As the world is striving toward combating the COVID-19 or at least lessening its effects, this paper is of its own kind, using the theory of informative fictions to guide the assessment of the sources of information and the extent to which they influence misinformation on COVID-19 vaccine uptake hesitancy.

Despite the present focus on improving the resilience of homes to flooding in UK flood risk management policy and strategy, a general measurement framework for determining levels of flood resilience in UK homes does not exist. In light of this, the aim of this study was to develop a means to evaluate the levels of resilience in flood-prone homes from the perspective of homeowners'.

A quantitative research methodology was employed, with empirical data obtained through a postal survey of homeowners who had experienced flooding. The responses received were then analysed using a combination of statistical techniques including agreement/reliability tests and multiple regression to develop a model of flood resilience.

A predictive model was developed that allows the resilience of a property to be quantified and measured as perceived by homeowners. The findings indicate that the main factors found to influence the level of flood resilience were: property type (PT), presence of cellar/basement (C/B), property wall type (PWT), property ground floor type (PGFT), kitchen unit type (KU), flood experience (FE), flood source (FS) and flood risk level (FRL).

The resulting model provides unique insights into resilience levels to the benefit of a range of stakeholders including policy makers (such as Defra/Environment Agency), Local Authority flood teams, property professionals, housing associations and homeowners. As a result, homeowners will be in a better position to determine which interventions should be prioritised to ensure better flood protection.

This is the first study of its kind to have rigorously quantified the level of flood resilience for individual homes. This study has quantified the effectiveness of individual resilience measures to derive the first reliable means to measure the overall levels of resilience at the individual property level. This is regarded as a significant contribution to the study of flood risk management through the quantification of resilience within individual UK homes, enabling the prioritisation of interventions and the overall monitoring of resilience.

The current study is designed to investigate the factors that foster the framing of destination competitiveness and establish the factors that drive the contribution of tourism innovations to economic growth in smart tourism destinations.

A four-year panel data were extracted from the World Economic Forum's travel and tourism competitiveness index and data were analysed using Poisson Pseudo Maximum Likelihood regression model.

The findings demonstrate that both the enabling environment and airport infrastructure significantly affect tourism's impact on the economy of the selected smart European tourism destinations. Conversely, human resources and general infrastructure display a negative correlation with tourism's contribution to the economy. However, no data in the sample support the idea that tourism policies, government prioritization or readiness of tourism information and communication technologies impact tourism's contribution to the economy. Additionally, the marginal effects indicate that improving the enabling environment and airport infrastructure can generate additional benefits for the economy through tourism.

The uniqueness of this study is the integration of smart tourism destinations with the measure of destination competitiveness to provide an empirical bridge that links tourism competitiveness to economic growth.

This study aims to provide an empirical investigation into rising capital flight and the role of institutional quality to mitigate its effect on the real sector in sub-Saharan Africa (SSA).

The study uses the system generalized method of moments and uses data spanning from 1989 to 2020 from 26 SSA countries.

The findings show that capital flight has no direct impact on the real sector while institutional quality adversely impacted the agricultural and industrial sectors. The study also found that institutional quality is unable to mitigate the effect of capital flight on the industrial sector.

This study investigates if institutional quality mitigates the impact of capital flight on the real sector proxied by industrial value-added and agriculture value-added.