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The purpose of this study is to analyse cyberfraud in the South African banking industry using a multiple regression approach and develop a predictive model for the estimation and prediction of financial losses due to cyberfraud.

To mitigate the occurrence of cyberfraud, this study uses the multiple regression approach to correlate the relationship between financial loss and cyberfraud activities. The cyberfraud activities in South Africa are classified into three, namely, digital banking application, online and mobile banking fraud. Secondary data that captures the rate of cyberfraud occurrences within these three major categories with their resulting financial losses were used for the multiple regression analysis that was carried out in the Statistical Package for Social Science (SPSS, 2022 environment).

The results obtained indicate that the South African financial institutions still incur significant financial losses due to cyberfraud perpetration. The two main independent variables used to estimate the magnitude of financial loss in the South Africa’s banking industry are online (internet) banking fraud (X2) and mobile banking fraud (X3). Furthermore, a multiple regression model equation was developed for the prediction of financial loss as a function of the two independent variables (X2 and X3).

This study adds to the literature on cyberfraud mitigation. The findings may promote the combat against cyberfraud in the South Africa’s financial institutions. It may also assist South Africa’s financial institutions to predict the financial loss that financial institutions can incur over time. It is recommended that South Africa’s financial institutions pay attention to these two key variables and mitigate any associated risks as they are crucial in determining their profitability.

Existing literature indicated significant financial losses to cyberfraud perpetration without establishing any relationship between the magnitude of losses incurred and the prevalent forms of cyberfraud. Thus, the novelty of this study lies in the analysis of cyberfraud in the South African banking industry using a multiple regression approach to link financial losses to the perpetration of the prevalent forms of cyberfraud. It also develops a predictive model for the estimation and projection of financial losses.

Despite the growing prison population in South America and the high prevalence of infectious diseases, there is limited evidence on the factors associated with self-reported tuberculosis (TB) in this population. This study aims to identify the factors associated with self-reported TB among inmates in all prisons across Ecuador.

The 2022 Prison Census was used. The presence of TB was self-reported based on the question: Has any doctor diagnosed you with any of the following diseases: Tuberculosis? Prevalence ratios (PR) were obtained using crude and multivariable models along with their 95% confidence intervals (CI) using a generalized linear model with random effect at the prison level to assess the association among the study variables.

The prevalence of self-reported TB was 4.7%. Socio-demographic factors (prisoners aged between 18 and 29 years and indigenous), clinical factors (human immunodeficiency virus [HIV] infection, diabetes and attempted suicide) and imprisonment characteristics (re-offender, having a medical check-up on admission and being incarcerated for 6 months or more) increased the prevalence of self-reported TB compared with their counterparts.

This study provides a detailed understanding of the factors contributing to the prevalence of self-reported TB in the prison population of Ecuador. The findings highlight the need for strategies focused on TB control through diagnosis and treatment, management of HIV, diabetes and malnutrition, as well as the restructuring of prison facilities. Implementing these measures is crucial for addressing the identified factors and improving inmate health conditions.

The study aims to investigate market reactions associated with the JUST 100 rankings published by JUST Capital, a non-profit organization, as well as differences in financial reporting quality and performance between selected firms and their industry peers.

This study uses a sample of 431 firms selected as the 100 America’s Most Just Companies between 2016 and 2020 by JUST Capital. This study performs both an event study to determine whether the rankings are useful to investors and cross-sectional regression analyses on the characteristics of selected firms compared to their peers.

This study finds that investors react positively to selected firms around the time of the release of the JUST 100 rankings, suggesting that the rankings are decision-useful. This study also finds that selected firms exhibit higher accounting quality and financial performance than their peers.

Rankings may not be free from bias because of JUST Capital’s ownership of an exchange-traded fund.

The findings validate the rankings as well as the methodology used by JUST Capital, as they show market participants value firms that engage in socially responsible actions through their commitment to positively impact five key stakeholder groups: employees, customers, communities, environment and shareholders.

To the best of the authors’ knowledge, this is the first study that shows the importance of the JUST 100 rankings for investment decisions. Considering the growing push for companies to disclose environmental, social and governance (ESG) activities, this study provides evidence to support ESG disclosure regulations.

This paper aims to analyze the nature, magnitude and determinants of access to food among rural households in India during the COVID-19 pandemic.

The study is based on the World Bank’s Rural Impact Survey, which has documented the shocks of COVID-19 among 2,787 rural households across six states in India. The chi-square test and binary logistics regression have been used to analyze the data.

About 49.7 % of rural households have reported the incidence of food inaccessibility and shortage, and the majority of them reported a reduction in food intake during the COVID-19 outbreak. However, the magnitude of food accessibility varied across the states and the sociodemographic characteristics of the households. Furthermore, regression analysis indicates that family size, social category and occupation as sociodemographic variables and membership in self-help groups, wage employment under Mahatma Gandhi National Rural Employment Guarantee Act and Cash transfer under Pradhan Mantri Kisan Samman Nidhi and Pradhan Mantri Garib Kalyan Yojana as institutional support factors have a significant effect on access to food among rural households.

The findings of the study have far-reaching policy implications for developing an effective food distribution system in crisis situations like the COVID-19 outbreak. The study also provides directions for extending the research on determinants of access to food during crisis.

The study is based on a large survey data from the rural households in India and provides empirical evidence on access to food faced by rural communities during the COVID-19 lockdown.

The current digital work environment promoting a “constant-on” culture is a hotbed for cyber incivility. Thus, there is a pressing need to understand its mechanisms. This study aims to shed light on the triggers, sources and impact of rude behaviours in cyberspace. The authors also present the boundary conditions that exacerbate or alleviate the effects of such negative experiences.

Through a systematic literature review based on predefined search protocols, the authors synthesised the current knowledge on cyber incivility and identified 21 peer-reviewed research articles.

The findings reveal the different sources of cyber incivility, its personal, relational and organisational antecedents and consequences, and its personal and situational boundary conditions that curb or enhance the negative impact.

The authors unravel the main future research avenues based on the review findings by systemising knowledge on cyber incivility. Managerial efforts in the form of interventions and mitigation are also discussed to help combat this grieving issue in the workplace.

This paper presents the first systematic review of the cyber incivility literature and identifies new avenues for future research. Scholars can expand upon the findings of this study to fill gaps and move the incivility in cyberspace forward. It also offers practical insights on mitigating the advancement of such behaviours in organisations.

Despite India achieving many milestones under MGNREGA, the external and internal shocks result in below potential outcomes in employment demand and generation. This study examines how these shocks matter and how the migration-prone regions perform.

This study, employing district-level data from 2018 to 2021, investigates how climate change and COVID-19 have affected the employment demand and supply. We applied RE-GLS and IV-2SLS regressions to examine the effects of shocks on employment demand and generation, respectively. The difference in difference panel model is employed to test the spatial effects of the pandemic. Further, we used RE-GLS and extended regression model to examine how external shocks interacting with migration affect unemployment rates.

It was found that the pandemic increased employment demand and generation. This reflects the adverse effects of the pandemic and the swift action by the government. However, the responses were possibly different during climate shocks. The wage differential increased employment demand. However, demand decreased due to poor support from the support staff. The employment generation was higher in migration-prone districts, indicating that seasonal migration, being a lean-season phenomenon, continues to occur despite employment generation.

This study contributes to the literature in several ways. It captures spatial variations while examining the impact of climate change and COVID-19. It investigates the performance of MGNREGA in migration-prone areas. In effect, the findings provide policymakers with greater insight into the issues.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-02-2024-0132.

This research empirically establishes that the interpersonal population diversity of executive board members partly explains the differences in financial misconduct across US banks. It advances the hypothesis that heterogeneity in the composition of an interpersonal population and diverse traits of board members, originating from the prehistoric course of the exodus of Homo sapiens from East Africa tens of thousands of years ago, is an important factor explaining the effectiveness of executive board monitoring with respect to a bank engaging in financial misconduct. The underlying intuition is that population-fragmented societies, characterized by mistrust, preference heterogeneity and corruption, find it difficult to sustain collective integrity action.

Employing a panel of US banks from 1998 to 2019 we find that adding directors from countries with different levels of interpersonal population diversity is positively associated with financial misconduct as measured by enforcement and class action litigation against banks by the main regulatory agencies. Furthermore, we document that the more population-diverse bank boards are more likely to commit misconduct, consistent with a mechanism of inter-generational transmission of cultural norms of mistrust and non-cooperation.

We find that adding directors from countries with different levels of interpersonal population diversity is positively associated with financial misconduct as measured by enforcement and class action litigation against banks by the main regulatory agencies. These results are robust to controlling for bank-specific variables, including other board characteristics, and to the use of instrumental variables.

The findings suggest that reducing financial misconduct by banks likely requires reducing the interpersonal population diversity of banks’ executive boards.

We show how bank boards with different interpersonal population diversity impact the likelihood of engaging in misconduct provides evidence of the microeconomic effects of interpersonal population diversity. We show the negative results of diversity that they can have on the management of a firm given that populated diverse boards are more likely to lead to higher levels of misconduct. Our evidence reveals that banks having interpersonal population fragmented boards are more likely to commit misconduct given the cultural norms of mistrust and the lack of societal cohesiveness.

This study aims to investigate access to mobile money services and its relationship to financial planning for adults with mobile phones across different countries in different income groups.

Using new survey data from the Global Findex Database over the 2021–2022 time period, this study applies traditional cross-sectional regressions in investigating the relationship between access to mobile money accounts and the proportion of adults that save and borrow across different countries in different income groups.

This study provides findings on population dynamics, the percentage of adults who own mobile phones, the percentage of adults that own mobile money accounts, and the percentage of adults who save and borrow through mobile money accounts across different countries in different income groups. Results of the cross-sectional regressions indicate a positive relationship between saving and borrowing in relation to access to mobile money accounts across different countries in different income groups. The empirical results are robust after controlling for financial literacy, and moreover, suggest a relatively stronger effect for saving relative to borrowing.

This study proposes a novel approach toward examining the relationship between access to mobile money accounts and the proportion of adults that save and borrow. This study quantifies the aggregate impact of mobile money access on saving and borrowing based on a new cross-sectional data set for different countries in different income groups.

Previous research has shown that terror attacks affect a variety of outcomes. However, one outcome that has remained relatively neglected is crime. In the current study we examine the immediate effect of terrorism on crime, and discuss several behavioral mechanisms that might explain this effect.

We use data from 190 Israeli localities over 12 years (1999–2011). Applying a fixed-effects Poisson regression model, we assess the effect of terror attacks on recorded crimes of three types – property, domestic violence, and fraud – on the days following the attack. We also examine whether the effect is conditioned on geographical proximity to the attack.

We find the occurrence of terror attacks has a significant and negative effect on recorded cases of the three crime types. This effect grows stronger as geographical proximity to the attack increases.

Our results suggest that terrorism has an immediate negative effect on crime. This effect might be explained by changes in the behavior of police officers, offenders, and citizens.

The prevalence of exposure to adversity is elevated in autistic populations, compared to neurotypical peers. Despite this, the frequency and nature of early adverse experiences are not well understood in autistic adults, with several underlying methodological limitations in the available literature. The purpose of this study is to systematically synthesise and analyse the prevalence of childhood adversity in this marginalised population, in accordance with the adverse childhood experiences (ACEs) framework.

Peer-reviewed empirical research articles were systematically searched for from electronic databases and screened against established inclusion criteria. Pooled prevalence rates for individual ACE types were calculated.

Four papers were included (N = 732), all of which used a predominantly or exclusively female sample. Only sexual abuse was reported in all papers, with a pooled prevalence rate of 38%. Physical abuse and emotional abuse were less frequently explored, with two papers reporting on these ACEs, though obtained comparable and higher pooled prevalence rates (39% and 49%, respectively). Pooled prevalence rates could be calculated for neither neglect nor “household” ACEs because of insufficient data. The limited state of the evidence, in conjunction with high levels of heterogeneity and poor sample representativeness found, positions the ACEs of autistic adults as a critical research priority.

To the best of the authors’ knowledge, this study is the first to systematically synthesise the prevalence of early childhood adversities, as conceptualised in accordance with the ACEs framework, in adults with autistic traits.