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The aim of this study is to investigate how the demographics and appearance cues of potential social engineers influence the likelihood that targets will trust them and accept security risk.

Data were collected through an online survey of 635 participants, including 322 participants from Arab countries and 313 participants from the UK. The survey presented scenarios with 16 personas who offered participants the use of their mobile internet hotspot. These personas were characterized by combinations of age (young vs aged), gender (male vs female), ethnicity (Arab vs UK) and look formality (casual vs formal). The study measured both participants’ offer acceptance and trust in the persona.

Results indicated a higher likelihood of offer acceptance from female and aged personas, as well as a greater trust in these groups. Arab participants showed a preference for personas with Arabian ethnic features. In both samples, trust and acceptance were influenced by the persona’s appearance, which was found to be gender-dependent; with female personas in casual attire and male personas in formal attire being trusted more in comparison to female with formal attire and male with informal, respectively.

Findings highlight the importance of incorporating awareness of appearance-based biases in cybersecurity training, suggesting the need for culturally sensitive training programs to enhance defense against social engineering.

This study distinguishes itself by elucidating the influence of social engineers’ demographic and appearance cues on the likelihood of individuals to take security risks, thus addressing a significant gap in the literature which has traditionally emphasized the profiles of targets.

In recent years, computer‐aided software engineering tools (CASE) have emerged to provide automation support to the software development process. Such automation is a revolutionary progress which promises dramatic improvement in software quality and productivity. However, despite such promises, CASE tools have not proved to be effective in some organizations owing to the fact that far fewer efforts are expended by organizations on evaluation for selection and introduction of appropriate CASE tools. Proposes a conceptual model on CASE environment that is assembled from two distinct but related processes : “CASE selection” and “CASE adoption”. Further argues that CASE adoption process will be affected if an organization fails to select appropriate CASE tools. Therefore, the success of CASE adoption is very much dependent on the process of CASE selection. Moreover, there is also a possibility that even a suitable CASE tool may not contribute positively, if it is not adopted systematically. Thus, if the CASE adoption fails then a CASE environment would not function. Against this background, cites two case studies describing the experiences of two organizations that adopted a particular brand of front‐end CASE tool. One organization was successful in introducing the tool, and experienced considerable improvement in quality and productivity. Conversely, the same CASE tool failed to achieve its purpose in another organization. In the light of the model, further describes why and how CASE failed in one organization, and was considered successful in another. Finally, also highlights the lessons learned from their experiences.

While the usage of mobile financial services (MFSs) is increasing rapidly in developing countries, research on users' attitudes and behavioral intention to adopt MFS is limited. Thus, this study aims to investigate customers' attitudes and intentions to adopt MFS from a Bangladeshi perspective.

A mixed research design was employed to conduct this study. Data of 196 respondents were analyzed using partial least squares (PLS) path modeling. For the quantitative part, data collection was conducted using non-probability sampling through a structured survey questionnaire. A focus group discussion with ten MFS users from divergent backgrounds was conducted to validate the quantitative findings.

This paper integrated both the technology acceptance model (TAM) and innovation resistance theory (IRT) to validate the results. The authors found that perceived usefulness (PU), perceived ease of use (PEOU) and perceived trust (PT) positively contribute to customers' attitudes toward MFS adoption. Besides, barriers to acceptance had unfavorable effects on users' attitudes and usage intentions. Furthermore, a focus group discussion revealed valuable insights on the constructs used in this study.

The study results have implications for both MFS providers and researchers. The outputs and recommendations presented in this paper will encourage the MFS practitioners to stimulate users' attitudes and behavioral intentions by ensuring useful, easy to use, credible and risk-free mobile payment platforms.

This is one of the very few studies in Bangladesh that have taken a contemporary and emerging research topic, providing theoretical, methodological and practical contributions regarding the determinants and consequences of attitude toward using MFSs.

As women perform most household chores and other nonproductive work, gender-based division of labor in the home has now been identified as a barrier to gender equality. The objective of this study is to assess the effects of gender distribution of housework especially for women and investigate the factors influencing the total hours spent on house chores in Bangladesh.

This study adopted a quantitative approach based on survey data obtained from 200 households in the Madaripur and Gopalganj districts of Bangladesh. To analyze the obtained data, the partial least squares (PLS) regression was used.

According to this study, demographic and socioeconomic factors of women, and gender are influencing the total hours spent in housework. Women were observed to have a positive relationship with empowerment but a negative relationship with social perception. Social perception was further observed to have a significant impact on the total number of hours expended by women on house chores.

The study suggests that the importance of sharing the burden of household work be taught in schools and community-based awareness programs so that it becomes ingrained as a social and cultural practice. Furthermore, the government should conduct a proper assessment that recognizes unpaid housework by women as an important factor in inclusive sustainable development.

Issues of inequality in the division of labor in household activities are barely recognized in Bangladesh. Therefore, this study collected primary data to assess the effects of gender on the distribution of housework. The findings of the study will help policymakers and academicians to better understand the gender-based division of household labor.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-03-2023-0195.

The purpose of this paper is to frame Khaled Hosseini's novels, The Kite Runner and A Thousand Splendid Suns, as literature to expand and enhance the American secondary curriculum with multicultural themes based on Afghanistan as a geographical and cultural place in a dynamic, diverse, and complex world more mediated than ever before by computer technologies.

The methodological approach to the study is a synthesis of geographic education grounded in the concept of place and diversity pedagogy.

Khaled Hosseini's web site has become the cyber place where hundreds of readers from around the world come to express their deep emotional reactions to The Kite Runner and A Thousand Splendid Suns. At the same time, that so many diverse international readers are responding favorably to Hosseini's novels, his works are being censored in classrooms in the USA. The research outlines geographical and cultural geographic features of Afghanistan – a place torn by military efforts of several nations. In the context of diversity pedagogy, the power of the novels portrays “difference,” yet humanity in need of understanding. Further attention is given to the censorship of ideas in American education, with Hosseini's books as one example.

This paper frames Hosseini's novels as place‐based literature illustrating the homeland of Afghanistan now more accessible than ever before to international and US classrooms.

This study intends to explore the impact of occupation and income on informal migrants in the face of COVID-19 induced lockdown in Bangladesh and their coping strategies to survive the pandemic situation.

The study adopted a qualitative research design in which four urban areas were chosen purposively from various parts of Dhaka city. The authors conducted 21 semi-structured in-depth interviews, four FGDs and eight months over participant observation for achieving study objectives. The four stages of data analysis used a thematic approach in the interpretive phenomenological analysis.

The results showed that respondents were massively affected due to loss of income and occupation in the period of induced lockdown. Besides, most people lost their earning sources entirely in this amid pandemic which bound them starvation in the mealtime along with several dynamic complications. The findings also revealed that they followed some surviving strategies such as taking loans, reducing expenses, consuming less food, selling land, jewelry, and goods, relatives and neighbor support, and government relief. Although these strategies somewhat supported them to struggle with the situation, their livelihood features became fragile immensely.

The findings will be an important guiding principle for the policymakers, aid organizations and development practitioners to prepare development policies for vulnerable informal migrants in developing countries like Bangladesh.

This is the first study that explores the informal migrants’ occupation and income during COVID-19 induced lockdown in Bangladesh. This research also highlights coping strategies of the informal migrants to survive the pandemic situation.

Considering the existing evidence on the impact of female board members on the default risks of an organization, the purpose of this study is to investigate the effect of board gender diversity, alongside institutional characteristics and macroeconomic factors, on the financing costs of microfinance institutions (MFIs).

This study collected unbalanced panel data of 1,190 unique MFIs between 2010 and 2018 from the World Bank. The collected data, which covers a total of 95 developing and emerging countries, was thereafter analyzed using the pooled ordinary least squares and random effects model. To overcome endogeneity and omitted variable bias (e.g. time-invariant variables), the authors have also used the generalized method of moments and fixed effects model, respectively. Different proxies of board gender diversity and sub-sample analysis by regions were further undertaken to examine the robustness of the obtained results.

The findings of this study revealed that board gender diversity has a statistically significant negative effect on the financing costs of MFIs. This suggests that a gender-diverse board can generate cheaper funding for MFIs by minimizing their default risks through effective monitoring and strategic management. Furthermore, the negative impact of board gender diversity on financing costs appears to be more pronounced when there is a minimum of two female board members in the boardroom of MFIs. The results of this study remain consistent and valid regardless of alternate model specifications (e.g. sub-sample analysis, use of alternative proxies of board gender diversity and application of different estimators) and endogeneity issues. Ultimately, the findings in this study reiterate the importance of promoting and implementing gender diversity in the boardroom to minimize the financing costs of MFIs.

This study investigated the relationship between board gender diversity and financing costs of MFIs by using relatively recent and global data. The minimum number of female board members required to significantly reduce the financing costs of MFIs was also identified.

The novel coronavirus (COVID-19) remains a global public health emergency as declared by the World Health Organization (WHO). The COVID-19 impacted educational institutions around the world, and they were shut down to minimize the fatalities and spread of the infection. Educational institutions around the world, including Bangladesh, started to conduct online classes as an alternative to physical classes. Therefore, this study assesses the effectiveness of online classes in terms of information and communications technology (ICT) readiness, online class assessment, online class participation, and convenience and flexibility for the educational institutions of Bangladesh.

To fulfill the objective of the study, data were collected from 817 teachers and students. Additionally, the partial least squares (PLS) regression method was adopted as a quantitative technique.

The study shows that online class participation, online class assessment, and convenience and flexibility have positive relationships with ICT readiness and the effectiveness of online classes. At the same time, the challenges of online classes have negative relationships with ICT readiness and the effectiveness of online classes.

The study suggests that the government should ensure stable internet connectivity access across the country so that both students and teachers can participate in online classes effectively. Moreover, educational institutional authorities should extend support to the institutions for developing proper ICT infrastructure.

ICT infrastructure readiness is the backbone for effective online education; however, before the COVID-19 pandemic, online education was almost non-existent at the educational institutional level in Bangladesh. The country started developing the ICT infrastructure only when online classes were scheduled to start, and the development is still ongoing. Hence, this study used ICT readiness as a mediator factor. Moreover, primary data are used in this study. The findings of the study will help academicians and policymakers to better understand the effectiveness of online classes.

This study aims to investigate the impact of risk committee characteristics on the risk disclosure of banking institutions in an emerging economy, Pakistan.

The data are collected through a manual content analysis of 21 banks regulated by the State Bank of Pakistan over the period 2011–2020. The study utilizes the generalized least square (GLS) regression model as the method of analysis.

The study finds that risk committee size is positively associated with risk disclosure, which is in line with agency theory. However, risk committee independence and risk committee gender diversity are negatively associated with risk disclosure. This contradicts the theoretical perspective and is explained by the weak regulatory framework of Pakistan.

This study was carried out in a single research setting, which limits the generalizability of its findings to other developed and emerging economies.

The results provide valuable insights for regulators by identifying the attributes that require regulatory focus to strengthen risk committees and enhance risk disclosure practices within the banking sector of Pakistan. The findings highlight the effectiveness of the risk committee size, call for fully independent risk committees and encourage greater representation of women in these committees.

This study contributes to the corporate governance literature by empirically examining the risk committee characteristics and their impact on the risk disclosure of banks in an emerging economy. Moreover, this study contributes to theory by utilizing upper echelon theory in addition to agency theory as the motivation for the study.