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The paper investigates relative efficiency of the banking industry in Bahrain by employing a panel of 31 banks for the years 1998 and 2000. We employ non‐parametric (Data Envelopment Analysis) to examine five efficiency measures, namely, cost, allocative, technical, pure technical and scale efficiency scores. We also investigate the conventional accounting measures of performance, and correlate them with five measures of efficiency to investigate whether higher accounting performance impact the bank cost efficiency. Our results show that, on the average, the banking industry in Bahrain is profitable with average ROE and ROA being 10.36% 1.622% in 1998 while 13.49% and 2.097% in 2000 respectively. The average allocative efficiency (inefficiency) is about 73% (37%), whereas the average technical efficiency (inefficiency) is about 56% (78%). This indicates that the dominant source of inefficiency in Bahrain banks is due to technical inefficiency rather than allocative inefficiency, which is mainly attributed to diseconomies in scale. Overall, average scale efficiency (inefficiency) is about 79% (26%), and average pure technical efficiency (inefficiency) is about 71% (41%), suggesting that the major source of the total technical inefficiency for Bahrain banks is pure technical inefficiency (input related) and not scale inefficiency (output related). The results also indicate that all banks have improved their efficiency levels and experienced some gains in productivity. Finally, regression analysis is used to investigate the determinants of the overall efficiency scores. We find that larger and profitable banks are more likely to operate at a higher level of efficiency. Also, another finding reveals that market power plays an important role in cost and technical efficiencies. Notably, banks with greater contribution from shareholders tend to be more technical efficient

Islamic finance is an alternative approach of financial intermediation based on risk-sharing and asset-backed operations, which evolved substantially in recent years in academic research raising the need for quantitative studies to address the intellectual development and scientific performance of this field. This study aims to provide quantitative statistics and comprehensive review of the key influential and intellectual structure of Islamic finance literature.

The authors apply the trending and cutting-edge quali-quantitative approach of bibliometric citation analysis. This study reviews 1,940 English studies and review papers published in scientific journals indexed by the Scopus database from 1983 to 2019. RStudio, VOSviewer and Excel’s software are used to analyze the collected data and apply the bibliometric tests.

The results identify the leading academic authors, journals, institutions and countries with relation to Islamic finance. The authors also propose six main research themes in this field, which are as follows: Islamic finance – fundamentals, growth and legitimacy; customer’s attitude and perception toward Islamic finance; accounting and social reporting of Islamic finance; performance and risk management of Islamic finance; Islamic financial markets; and efficiency of Islamic financial institutions. Lastly, the authors identify research gaps in the existing Islamic finance literature and present 24 future research directions.

The data in this study is confined only to the Scopus database of English papers and reviews. It also considers papers directly related to the field of Islamic finance.

To the best of the authors’ knowledge, this paper is one of the first to address the literature of Islamic finance from a bibliometric aspect. The results of this study along with future research questions will help researchers and practitioners to further explore and stand on firm quantitative bases regarding the scientific development of Islamic finance.

In recent years, Islamic banking (IB) has received a lot of scholarly interest, as seen by the substantial increase in publications on the subject worldwide. The increasing rate of publications on IB indicates that this subject has attracted a substantial amount of scholarly attention. It has also been a prioritized topic for many banking and financial scholars in Bangladesh. This paper aims to conduct a bibliometric analysis to assess the research on IB in Bangladesh.

The method used in this study is a bibliometric analysis of the sample literature collected in January 2022 from the SCOPUS database. The sample size of the study is 120 articles published between 1999 and 2021 which meet the specific selection criteria. To analyze the data, software such as Rstudio (Rshiny), Microsoft Excel and VOSviewer have been used. The analyses were performed in three broad categories: overall performance indicators, citation analysis and cross-dimensional keyword analysis, followed by a brief content analysis that identifies research streams.

This paper shows a notable increase in the number of publications between 2012 and 2021 with Alam M.K. being the highest contributor to this momentum publishing 12 articles. The findings also highlight the most contributing countries, organizations, publications, articles, sources and subjects. Out of 120 articles, this study has identified 14 research streams that have already been investigated by previous authors. The research streams include the growth of IB in Bangladesh; corporate social responsibility; Islamic human resource management; comparative study; customer satisfaction; development issues; efficiency of Islamic banks; green banking; Islami Bank Bangladesh Limited; IB industry; Islamic finance; Islamic microfinance; Shariah governance; and theoretical aspects of IB in Bangladesh. This study further identified future research agenda with specific research questions.

This research is limited to journal articles published in English in Scopus-indexed publications. Further research could include various databases, such as the Web of Science, and increase studied units. While this study focused only on bibliometric analysis and research streams, future studies may center on the systematic review of articles published on specific topics.

Although IB is a rising sector in the financial system of Bangladesh, to the best of the authors’ knowledge, this is the first bibliometric analysis of IB in Bangladesh. The 14 research streams identified in this study also uniquely provide 10 future research agendas with 39 specific research questions.

The recent development in integrated reporting (<IR>) demonstrated a potential government tool for decision-making in allocating resources and developing sustainable policies for higher education institutions. This paper aims to examine the extent of the disclosure level of <IR> content elements in the annual reports of Malaysian Public Universities (MPUs). Additionally, the relationship between the disclosure level of <IR> content elements and the specific characteristics of MPUs is investigated.

The study performed descriptive statistics analysis for each component of <IR> content elements. This idea is achieved by examining the annual reports of MPUs between 2016 and 2018. The relationship was also investigated using ordinary least squares, fixed effect and lagged models.

The findings showed an increasing trend in the disclosure level of <IR> content elements in MPUs’ annual reports, supported by institutional theory. Furthermore, RUs exhibited a significant positive relationship with the disclosure level of <IR> content elements, whereas university size and report conciseness are insignificant variables.

The study adds to the body of knowledge in public sector accounting and has significant implications in the industry. This implication is specific to achieving sustainable development goals within the context of a developing country, paving avenues for further MPU reporting studies.

The promotion of sustainable design is demanded globally. The life cycle assessment (LCA) proved its reliability in this mission, but the difficulty and time required to apply it discouraged designers. This research aims to integrate LCA into the building design process through a software tool, taking advantage of generative design features. This will facilitate decision-making by architects and construction professionals.

The study develops the EGY-LCA (http://egy-lca.com/). This prototype tool suggests exterior wall design alternatives for residential buildings in Egypt, using the environmental impact indicators of LCA data and other criteria related to national codes, materials, construction methods and required thermal resistance. Within a generative design process, the algorithm tests every possible wall method with materials and thickness combinations for each layer in compliance with inputs. The paper begins by explaining the tool’s working method. Afterward, different sets of inputs are examined and the values of the resultant environmental impacts of several suggested wall solutions are statistically analyzed. The application demonstrates the importance of the generative design tool. Proposing several solutions based on a set of inputs facilitates the selection of sustainable choices and allows comparisons between alternatives.

The prototype experiment confirms the research hypothesis. Unlike the available LCA tools, architects can make decisions with limited LCA experience if the data and equations are integrated into a generative design tool. The prototype proves its applicability for exterior wall alternatives.

The prototype is the initial step toward a whole-building LCA tool. It includes limited LCA stages and materials for the external wall. Future research is required to expand this parametric tool concept to include all the building components. The framework in Section 5 proposes a visualization.

The prototype tool: EGY-LCA (http://egy-lca.com/). The value added to the design and construction sectors through the uncomplicated LCA application is fostering sustainable design, generative design tools can achieve this.

The novelty of this work is that it is the first initiative offering a parametric LCA tool. It promotes the application of LCA at the design stage using generative design, which contributes to sustainable development.

The study's main objective is to evaluate the morphological developments in the characteristics of the spatial configurations of the residential layouts in Kerman, Iran, in examining the impact on the level of visual privacy through the spectrum of permeability and wayfinding in space syntax analysis.

In this paper, plan graph analysis is used to measure the syntactic properties of seven topological residential architecture plans in Kerman, Iran, built from the 1970s to 2010s. The methodology involves the development of mathematical measurements to signify permeability and simulation of visibility graph analysis (VGA) to indicate wayfinding.

The findings reveal the residential layouts of Iranian houses tend to be less integrated over decades of design development from the 1970s to 2010s. Reduction in spatial integration corresponds to increase segregation allowing for enhanced visual privacy. The study underpins that, even with the constraints in the scale of the house and reduction in the number of nodes, as evident in the design of the modern residential layout, the efficient level of visual privacy is still achievable with regards to the standards demanded by the local culture.

The study examines the development in residential spatial configuration and building scale on visual privacy through a proposed methodology based on the level of permeability and wayfinding measured as a combined effect using the space syntax analysis and visual accessibility.

This study aims to measure the relationship between corporate governance and non-financial reporting (NFR) in higher education institutions (HEIs). Board effectiveness, student engagement, audit quality, Vice-Chancellor (VC) pay and VC gender are targeted for analysis.

This study is based on content analysis. The authors used the EU NFR Directive (2014/95/EU) to measure NFR. This includes environmental, corporate social responsibility, human rights, corporate board effectiveness and corruption and bribery. Cross-sectional data was collected from 89 HEIs worldwide across 15 different countries over three years. Content analysis, the weighted scoring method and panel data analysis are used to obtain the results.

Through a neo-institutional theoretical lens, this study provides a broader understanding of NFR content disclosure practices within HEIs. The findings reveal that the audit quality, VC pay and VC gender are significantly and positively associated with NFR content disclosure. However, board effectiveness has a significant negative impact on NFR content disclosure. More interestingly, the findings reveal that student engagement has an insignificant association with NFR content disclosure and there significant difference on the level of NFR content disclosure across universities situated in the different geographical region such as the USA, Australia, the UK and EU, Asia and Canada. The findings have important implications for regulators and policymakers. The evidence appears to be robust when controlling for possible endogeneities.

The study contributes to the literature on corporate non-financial disclosure as it provides new insights of corporate governance mechanisms and NFR disclosure within HEIs.

The chapter aims to investigate the link between COVID-19 and Islamic finance, investigating how Islamic countries respond to the impact of the pandemic and how Islamic banks have responded in consideration of their financial statements. The study proposes a novel perspective based on thematic analysis of blogs and newspapers to validate the relevant literature. Moreover, the documentary analysis will allow researchers to investigate Islamic banks' financial statements. We find that Islamic countries have used extraordinary Sukuk issuances both at government and cross-border level. Moreover, traditional instruments such as the Zakat have been converted for even more social uses. Concerning the literature, we find that there have been temporary tax suspensions and commodity supply measures to deal with the pandemic crisis's uncertainty. Finally, financial statements analysis reveals prudent behaviour with decreases in profits aimed at increasing risk provisions. The results provide theoretical evidence to researchers and practical evidence to policymakers, public policy investors and citizens.

Distribution. The purpose of this study is to obtain the modified maximum likelihood estimator of stress–strength model using the ranked set sampling, to obtain the asymptotic and bootstrap confidence interval of P[Y < X], to compare the performance of author’s estimates with the estimates under simple random sampling and to apply author’s estimates on head and neck cancer.

The maximum likelihood estimator of R = P[Y < X], where X and Y are two independent inverse Weibull random variables common shape parameter that affect the shape of the distribution, and different scale parameters that have an effect on the distribution dispersion are given under ranked set sampling. Together with the asymptotic and bootstrap confidence interval, Monte Carlo simulation shows that this estimator performs better than the estimator under simple random sampling. Also, the asymptotic and bootstrap confidence interval under ranked set sampling is better than these interval estimators under simple random sampling. The application to head and neck cancer disease data shows that the estimator of R = P[Y < X] that shows the treatment with radiotherapy is more efficient than the treatment with a combined radiotherapy and chemotherapy under ranked set sampling that is better than these estimators under simple random sampling.

The ranked set sampling is more effective than the simple random sampling for the inference of stress-strength model based on inverse Weibull distribution.

This study sheds light on the author’s estimates on head and neck cancer.