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Several countries in South Asia face the challenge of ineffective educational reforms manifest in increasing rates of school failure and poor learning outcomes after embarking along education for all. Critical voices from the South have questioned the relevance and appropriateness of ideas that have shaped these reforms. Narratives from the region tell us that importation of educational concepts and policy orientations have led to the dismantling of existing structures and processes of education, creating new forms of inequities and disadvantage. The sheer scale and diversity of populations within the region poses formidable challenges and opportunities for contextual innovation. The construction of national imaginaries in the diverse societies of South Asia has the potential to provide new discourses to educational reform; going beyond the abstract goals set by disconnected international experts and the institutional processes they represent. This chapter deliberates on the need to establish a persuasive critical perspective that can influence and shape the trajectories of policy and practice, research and theorization, within the field of comparative education in South Asia, and the global south.

High‐dimensional model representation (HDMR) is a general set of quantitative model assessment and analysis tools for capturing the high‐dimensional relationships between sets of input and output model variables. It is an efficient formulation of the system response, if higher‐order cooperative effects are weak, allowing the physical model to be captured by the lower‐order terms. The paper's aim is to develop a new computational tool for estimating probabilistic sensitivity of structural/mechanical systems subject to random loads, material properties and geometry.

When first‐order HDMR approximation of the original high‐dimensional limit state is not adequate to provide the desired accuracy to the sensitivity analysis, this paper presents an enhanced HDMR (eHDMR) method to represent the higher‐order terms of HDMR expansion by expressions similar to the lower‐order ones with monomial multipliers. The accuracy of the HDMR expansion can be significantly improved using preconditioning with a minimal number of additional input‐output samples without directly invoking the determination of second‐ and higher‐order terms. As a part of this effort, the efficacy of HDMR, which is recently applied to uncertainty analysis, is also demonstrated. The method is based on computing eHDMR approximation of system responses and score functions associated with probability distribution of a random input. Surrogate model is constructed using moving least squares interpolation formula. Once the surrogate model form is defined, both the probabilistic response and its sensitivities can be estimated from a single probabilistic analysis, without requiring the gradients of performance functions.

The results of two numerical examples involving mathematical function and structural/solid‐mechanics problems indicate that the sensitivities obtained using eHDMR approximation provide significant accuracy when compared with the conventional Monte Carlo method, while requiring fewer original model simulations.

This is the first time where application of eHDMR concepts is explored in the stochastic sensitivity analysis. The present computational approach is valuable to the practical modelling and design community.

On 20 March 2020, the four adult convicts of the 2012 Delhi rape case were executed after a long debate regarding the punishment for their crime. The Delhi rape case, unlike others, was also given to the fast track court because of the worldwide outrage India received in its aftermath. Otherwise, most rape survivors rarely speak out and if they do, their lives are often endangered and threatened, depending on the severity of the case itself and the perpetrator's rank in the society. Through the analysis of Aniruddha Roy Chowdhury's, 2016 film Pink, and Ajay Bahl's film Section 375 (2019), this chapter explores the different ways in which mainstream Hindi cinema deals with such questions, especially in its depictions of courts. Both these films foreground India's contemporary cultural systems of fear that silence the rape survivors. They also imply that in the court cases, unless the specific court case faces intense global publicity, as was the case of the Delhi gang rape, rape survivors will never want to speak out. Moreover, the rape survivors will also hesitate to file a First Information Report (FIR) – a document that records crimes by the police against their perpetrators – limiting any possibility for justice for them. The laws surrounding rape cases are obscure and complex and finding justice for a rape victim (unless it is on a global level) is not an easy venture in India. At the time of the #metoo movement, the rape laws in India are not designed in such a way to arguably encourage victim-survivors to speak up. Instead, if rape survivors do decide to confront their perpetrators, they not only face ostracisation from society but also the danger of losing loved ones and endanger their lives as well.

Initial Public Offering (IPO) is a major milestone for a company. It allows a private company to issue shares to a much broader group of investors and become public. But conclusive evidence of the driving forces behind investors’ demand is yet to be identified. Therefore, the major purpose of this study is to assess the level of investors’ demand in IPO and how investors’ demand in IPOs is affected.

The study will employ 80 IPO companies of a Muslim-majority country, Bangladesh, starting from 2013 to 2021 with application of linear and quantile regressions. Apart from that, t-test will be used to compare means of groups of Shariah-compliant and non-Shariah-compliant firms and IPOs under fixed-price and book-building mechanism.

Oversubscription is higher for IPOs issued through fixed-price method compared to book-building method, but no significant difference is found in oversubscription for Shariah firms compared to non-Shariah firms based on t-tests. The authors found IPO size, firm size, IPO risk, proportion of shares offered to public, and bank interest rate to have significant impact on the IPO demand. Some models found non-Shariah compliance status of IPO companies to be a significant factor for the investors to demand IPO. Quantile regression results found board independence to have a positive association with larger, less-subscribed firms and board size to have a negative relation with IPO demand, for smaller firms with high demand.

Future studies may apply the findings to other settings, especially into the reasons behind preference for non-Shariah-compliant firms and higher demand for IPOs during higher interest rate. Equity issuing firms and issue managers can benefit from this study by wisely deciding on the proportion of shares for public, issue size and board of director composition. Shariah considerations cannot be ignored given that more information on Shariah compliance is disseminated among investors despite current non-preference for Shariah-compliant IPOs. On the other hand, institutional investors and general investors should consider firm-specific, governance and macroeconomic factors in IPO investment. Likewise, regulators would do well to bring in quality IPOs with characteristics mentioned in this study for ensuring stability of the market.

The main contribution of the study is identifying determinants of IPO demand: faith, governance, macro issues – understanding whether one or many of the above factors drive investor demand in IPOs of a Muslim-majority country will be the main contribution.

PurposeTo explore whether there is an audit expectations gap in the public sector between the Comptroller and Auditor General's (CAG) auditors in Bangladesh and the users of the CAG reports namely the Public Accounts Committee (PAC) of the Parliament that examines the CAG audit reports and the international funding agencies (IFAs) that provide external funding in the public sector in Bangladesh.Design/methodology/approachThe perceptions of CAG auditors and users of their reports were explored using a questionnaire based on a theoretical framework of accountability and six related audit concepts.FindingsThere were statistically significant differences in perceptions between 17 CAG auditors and the 15 members of the PAC on 13 of the 25 variables and between these 17 CAG auditors and nine representatives of the IFAs on 14 of these variables.Research limitations/implicationsThe relatively small number of respondents to this questionnaire is a limitation of this research project.Practical implicationsBetter training for the CAG auditors into their report users' information requirements and expectations and better training for the members of the PAC and the representatives of the IFAs coupled with more cooperation between the CAG auditors, the PAC and the IFAs might help to reduce this audit expectations gap in the public sector in Bangladesh.Originality/valueThis is the first time that statistical evidence has confirmed the existence of an audit expectations gap between CAG auditors and users of their audit reports in the context of the public sector.

This study aims to explore the prevalence and patterns of workplace sexual violence against women workers in Dhaka, Bangladesh.

This study used a mixed-methods approach to investigate workplace sexual violence against women workers in Dhaka, Bangladesh. Data collection spanned four months, using structured interviews, self-administered questionnaires and qualitative methods such as in-depth interviews and focus group discussions. A stratified random sampling technique ensured a diverse representation across sectors like garment manufacturing, domestic work and construction. Quantitative data from 384 respondents were analyzed using descriptive statistics and Pearson correlation analysis, while qualitative data provided practical insights into participants' experiences. Limitations included sample specificity to Dhaka, underreporting bias and potential biases in self-reported data, impacting generalizability and data validity.

The findings reveal significant demographic trends, with younger age groups (16–35 years) experiencing higher rates of harassment, particularly within the garment industry. Occupation-wise, garment workers report more incidents of harassment, while housemaids and child domestic workers face comparatively lower risks. The length of time in current employment shows mixed correlations with harassment prevalence. Fears of job loss, social stigma and reliance on internal resolution mechanisms within workplaces influence reporting behaviors.

This research highlights the urgent need for tailored interventions to protect young women in the garment sector and vulnerable occupations from sexual harassment. Policy reforms should enhance reporting mechanisms and address cultural barriers to reporting, ensuring safer workplaces and fair treatment for all female workers in Bangladesh.

This research contributes original insights by examining demographic correlates of sexual harassment across diverse occupations in Dhaka, Bangladesh. It uniquely identifies age-related vulnerabilities, occupational disparities and reporting behaviors, offering a comprehensive framework for understanding and addressing sexual violence in a critical socio-economic context.

A “state-driven” approach suggests that colonists use census categories to rule. However, a “society-driven” approach suggests that this state-driven perspective confers too much power upon states. A third approach views census-taking and official categorization as a product of state–society interaction that depends upon: (a) the population's lay categories, (b) information intellectuals' ability to take up and transform these lay categories, and (c) the balance of power between social and state actors. We evaluate the above positions by analyzing official records, key texts, travelogues, and statistical memoirs from three key periods in India: Indus Valley civilization through classical Gupta rule (ca. 3300 BCE–700 CE), the “medieval” period (ca. 700–1700 CE), and East India Company (EIC) rule (1757–1857 CE), using historical narrative. We show that information gathering early in the first period was society driven; however, over time, a strong interactive pattern emerged. Scribes (information intellectuals) increased their social status and power (thus, shifting the balance of power) by drawing on caste categories (lay categories) and incorporating them into official information gathering. This intensification of interactive information gathering allowed the Mughals, the EIC, and finally British direct rule officials to collect large quantities of information. Our evidence thus suggests that the intensification of state–society interactions over time laid the groundwork for the success of the direct rule British censuses. It also suggests that any transformative effect of these censuses lay in this interactive pattern, not in the strength of the British colonial state.

In recent years, sustainable supply chain practices (SSCPs), including corporate social responsibility (CSR), have been recognised as important means of developing firms’ sustainability performance (SP). However, empirical findings on the SSCP–SP interaction are inconsistent and even contradictory. This research presents a quantitative meta-analysis that aims to uncover SSCP–SP interactions based on the correlations found in previously published empirical studies.

Based on the main and moderating variables and selection criteria, 64 sample studies were selected after a systematic literature review and meta-analysis.

The findings confirm a positive correlation (0.438) between SSCP and SP. The results also reveal various critical moderators identified through meta-regression.

This study provides insights for operations managers and policymakers regarding the significance of control variables (e.g. ISO certification, type of economy, innovation approach, data collection method) on the relationship between SSCP and SP for business operations. This research uncovers the impacts of ISO regulations and proposed hypotheses through the lens of the natural resource-based view (NRBV) and institutional-based view (IBV).

This research is unique in that it provides a systematic view of the SSCP–SP interaction, validates the results through a theoretical lens (NRBV and IBV) and generalises the results by evaluating the moderation effects via checking prior literature.

Bangladesh is applauded for its achievement in various health and social outcomes though criticized for its failure in properly dealing with governance issues. The purpose of this paper is intends to see how the health outcomes (in case of life expectancy, under-five mortality and adolescent fertility) are impacted by health expenditure (both public and private), per capita income in presence of overall governance and female education. This paper assumes that rapid progress in female education reflects the Bangladeshis’ social responsiveness to change.

This paper uses autoregressive distributed lag technique to estimate the models with data ranges from 1990 to 2016 under two different scenarios.

This study has found that all the explanatory variables exert significant impact on health outcomes. Furthermore, public health expenditure is augmented with a composite governance issue, and this enhances robustness as well as statistical significance of the models. These suggest that the governance issues play a very crucial role to achieve the expected health outcomes. Female secondary enrolment ratio appears with improved coefficients in terms of sign and magnitude for all the health indicators.

This paper contributes to the existing literature showing econometric evidence that highlights the importance of governance and female education in improving health outcomes of Bangladesh apart from health expenditure and per capita gross domestic product.