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Bibliometrics is one of the research fields in library and information science that deals with the analysis of academic entities. In this regard, to gauge the productivity and popularity of authors, publication counts and citation counts are common bibliometric measures. Similarly, the significance of a journal is measured using another bibliometric measure, impact factor. However, scarce attention has been paid to find the impact and productivity of conferences using these bibliometric measures. Moreover, the application of the existing techniques rarely finds the impact of conferences in a distinctive manner. The purpose of this paper is to propose and compare the DS-index with existing bibliometric indices, such as h-index, g-index and R-index, to study and rank conferences distinctively based on their significance.

The DS-index is applied to the self-developed large DBLP data set having publication data over 50 years covering more than 10,000 conferences.

The empirical results of the proposed index are compared with the existing indices using the standard performance evaluation measures. The results confirm that the DS-index performs better than other indices in ranking the conferences in a distinctive manner.

Scarce attention is paid to rank conferences in distinctive manner using bibliometric measures. In addition, exploiting the DS-index to assign unique ranks to the different conferences makes this research work novel.

Quantitative research on the segregation of same-sex partners in the USA is new, and limited by challenges related to the accurate measurement of segregation and data errors. The purpose of this paper is to provide a novel approach to re-examine residential segregation between same-sex partners and different-sex partners in the USA.

Two versions of the dissimilarity index and corrected same-sex partners data from the 2010 decennial census were used. Effects of different geographic scales were examined.

Results reveal that the levels of segregation of both male and female same-sex partners were higher at metropolitan- vs state-levels; the levels of segregation was lower when measured using the unbiased as compared to the conventional version of the D-index; and male same-sex partnered households were more segregated from different-sex partnered households than were female same-sex partnered households.

Future studies should be attuned to geographic scale effects and should not ignore the bias of the D-index.

This study provides a better test of the differences between the two versions of the D-index and contributes to the literature by examining the segregation of both male same-sex partners and female same-sex partners across different geographic scales.

Sustainable construction is a way for the building industry to move towards achieving sustainable development, taking into account environmental, socio‐economic and cultural issues. Buildings, infrastructure and the environment are inextricably linked. Energy, materials, water and land are all consumed in the construction and operation of buildings and infrastructure. These built structures are also part of our living environment, affecting our living conditions, social well‐being and health. It is therefore important to explore environmentally and economically sound design and development techniques to ensure that buildings and infrastructure are sustainable, healthy and affordable. The objective of this paper is to investigate the role that the construction industry is playing in the sustainable development management globally and in Lebanon particularly. Survey questionnaires were distributed to main construction industry players: Contractors, Architects/Engineers and Owners/Developers. These questionnaires are designed to collect information on companies’ environmental awareness and social responsibilities and current practices that include land development, material selections, energy efficiency, construction operations, waste handling, storage facilities, sustainable designs and so on. The information is then analysed and recommendations are made on how to learn from socially responsible companies and how to improve the overall sustainable development of the construction industry in Lebanon.

The purpose of this paper is to construct an investment account holders' transparency and disclosure (IAH-T&D) index based on the new and revised accounting standard for investment accounts of the Accounting and Auditing Organization for Islamic Financial Institutions Standards (AAOIFI) (2020). It also aims to measure and compare the compliance level with IAH-T&D over years and between countries.

This study uses the content analysis method to analyze the content of 270 annual reports across 30 Islamic banks (IBs) in 10 Middle East and North Africa countries during the period from 2010 to 2019.

This study introduces a new IAH-T&D index which consists of 27 items representing four categories: investment accounts disclosure (11 items), incentive earnings disclosure (1 item), allocations and reserve disclosure (4 items) and general requirements for disclosure (11 items). The analysis shows that the level of IAH-T&D is 51%. The level of compliance varies over the years and across countries.

To the best of the authors’ knowledge, this is the first study that offers an original self-constructed-T&D index that could enhance future research related to determinants and consequences of IAH-T&D practice in IBs.

The disclosures in banks have become a matter of grave concern, especially post 2008 world financial crisis. The issue further gets exacerbated because disclosers in banks are part of the III pillar of BASEL-II floated in 1999, and despite that, banks face challenges in this regard. Ownership concentration (OC) is a point of discussion because it may affect banks’ corporate governance and transparency and disclosures (T&D) issues. This study aims to determine how OC affects the transparency in the banks.

A T&D index is built into the study covering all the relevant contemporary issues regarding disclosures in banks. The panel data specification is used to find out the association of components of the OC on the T&D practices in the banks. Bank data of 34 banks are gathered for four years for the study.

It is found that except for retail investors, other classes of OC are not concerned with the disclosures in the banks even though substantial financial and non-financial interests are at stake concerning them. The study’s findings suggest framing policies and regulations considering the accountability of promoters and institutional investors for ensuring disclosures in banks.

A few proxies to measure T&D found in the literature have not been used in the study. Similarly, the definition of promoter’s class of investors can be improved.

To the best of the authors’ knowledge, no other study builds T&D for banks and examines their impact because of the ownership classes (as used by the current study). This study is unique in this aspect.

The purpose of this interdisciplinary cross-country study is to investigate the influence of cultural tightness-looseness on money laundering.

The authors rely on tightness-looseness theory as the basis for their predictions. The authors use the Basel Anti Money Laundering Index to operationalize financial crimes. They use dynamic panel data regressions spanning from 2012 to 2018 across 66 countries.

The authors find a positive and significant effect of national culture on money laundering financial crime. This suggests that financial crimes increase in countries with higher levels of cultural looseness orientation. Moreover, the authors show that the absence of violence, control of corruption, political stability and voice and accountability has a significant and negative influence on money laundering financial crime.

Formal institutional factors are not the only factors that can help curb financial crimes, but policy regulators should also consider the degree of cultural tightness-looseness.

To the best of authors’ knowledge, this is the first research ever to examine the effects of cultural tightness-looseness on the level of financial crimes.

The purpose of this paper is to provide a way to analyze satellite images using various clustering algorithms and refined bitplane methods with other supporting techniques to prove the superiority of RIFCM.

A comparative study has been carried out using RIFCM with other related algorithms from their suitability in analysis of satellite images with other supporting techniques which segments the images for further process for the benefit of societal problems. Four images were selected dealing with hills, freshwater, freshwatervally and drought satellite images.

The superiority of the proposed algorithm, RIFCM with refined bitplane towards other clustering techniques with other supporting methods clustering, has been found and as such the comparison, has been made by applying four metrics (Otsu (Max-Min), PSNR and RMSE (40%-60%-Min-Max), histogram analysis (Max-Max), DB index and D index (Max-Min)) and proved that the RIFCM algorithm with refined bitplane yielded robust results with efficient performance, reduction in the metrics and time complexity of depth computation of satellite images for further process of an image.

For better clustering of satellite images like lands, hills, freshwater, freshwatervalley, drought, etc. of satellite images is an achievement.

The existing system extends the novel framework to provide a more explicit way to analyze an image by removing distortions with refined bitplane slicing using the proposed algorithm of rough intuitionistic fuzzy c-means to show the superiority of RIFCM.

We estimate the effects of job insecurity on the mental health of older workers in the United States. To address endogeneity problems, we exploit panel data and plausibly exogenous changes in job loss expectations following eliminations of similar positions and other types of jobs at the worker’s employer, as well as changes in employment at the industry–state level. We provide evidence that job insecurity, as measured by the self-reported probability of job loss, increases stress at work and the risk of clinical depression. We also find that the use of instrumental variables increases the size of the estimated effects. We interpret this as evidence that job insecurity which is outside the control of workers may have much larger effects on mental health. Our findings suggest that employers should worry about the mental health of workers in periods of downsizing, periods which are crucial for the recovery of firms in financial difficulties and which may depend particularly on the productivity of its workers.

The purpose of this paper is to analyze the inequality of opportunity among Indonesian school-age children from 2002 to 2012. It focuses on the possibilities of accessing basic needs, such as primary education, secondary education, electricity and clean water.

This paper used three interrelated indicators, namely, coverage access rate, dissimilarity index and human opportunity index. It also applied Shapley decomposition to measure the contributions of each determinant of inequality opportunities. These data were obtained from the National Household Survey conducted in 2002-2012.

This study revealed that the level of access to all basic needs, except clean water, was likely to increase with even distribution during the observation period. Moreover, the decomposition results showed that the education of household heads, household income and region (rural-urban) were the main contributors to the total inequality of opportunity.

This study on the inequality of opportunity is interesting, for it is tightly related to inequality of outcome, i.e. income, expenditure and wealth. It is arguable that the inequality of outcome, nowadays, is a reflection of the past inequality in basic opportunities. Thus, the exploration of potential inequality drivers begins to be increasingly important, as it can assist the policymakers in drawing effective policies to repress the increasing trend of future inequality.

The purpose of this paper is to extend current knowledge by focusing on three geographic factors (minority-Han residential segregation, rural-urban disparities and regional differences) and their effects on educational and occupational outcomes of Chinese ethnic minorities from 2000 to 2010.

Data from the 2000 and 2010 Chinese decennial censuses were used, and both descriptive and multivariate analyses were conducted.

Results revel that there were regional differences in terms of educational segregation between minorities and the Han. It was also difficult for minority groups that were residentially segregated from the Han and mainly located in rural areas or western/southeastern regions to obtain high-level education. When minority groups were residentially segregated from the Han, they tended to have higher levels of occupational segregation from the Han; while minority groups with larger percentages of rural residents tended to have smaller percentages of people obtained high-status occupations. Despite China’s rapid social and economic development, ethnic disparities in education did not significantly change, and ethnic gaps in occupational attainment were widened from 2000 to 2010.

Geographic sources of ethnic conflicts in China should not be overlooked, and future researchers should also conduct studies on Chinese ethnic minorities at individual or household level.

This study contributes to the literature in two major ways: first, all Chinese minority groups were included in the analyses to clarify intra-ethnic differences; second, data from two Chinese decennial censuses and longitudinal statistical modeling were used to investigate the effect of time on ethnic stratification.