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This study aims to examine the influence of ownership structure and board characteristics on the performance of Indonesian Islamic rural banks (IRB) using the system generalized method of moment model.

This research uses Indonesian IRB unbalanced annual panel data from 2016 to 2022. IRB performance is measured by return on assets (ROA), return on equity (ROE) and nonperforming financing (NPF). The ownership structure is represented by controlling shareholders, ownership of the board of directors (BD) and ownership of the board of commissioners (BC). Meanwhile, board characteristics are represented by the size of the BC, the proportion of female board directors and female president directors.

The results show that the ownership structure and board characteristics play an important role in improving the IRB’s performance. Technically, the results show that the size of the BC and the ownership of the BD increase all IRB performance measures. Female president directors and controlling shareholders improve IRB’s performance as measured by ROA and ROE. Women’s boards of directors improve IRB performance as measured by NPF. Meanwhile, the ownership of the BC does not show its effect on all IRB performance measures.

This study fills a literature gap on the influence of ownership structure and board characteristics on IRB Indonesia’s performance. In addition, it adds understanding and insight for Islamic bank regulators, management and IRB depositors in Indonesia.

To the best of the authors’ knowledge, this study is one of the first to provide an empirical survey on the influence of controlling shareholders and board characteristics on IRB performance, particularly in Indonesia.

This study aims to develop a novel approach for predicting default risk in bancassurance, which plays a crucial role in the relationship between interest rates in banks and premium rates in insurance companies. The proposed method aims to improve default risk predictions and assist with client segmentation in the banking system.

This research introduces the group method of data handling (GMDH) technique and a diversified classifier ensemble based on GMDH (dce-GMDH) for predicting default risk. The data set comprises information from 30,000 credit card clients of a large bank in Taiwan, with the output variable being a dummy variable distinguishing between default risk (0) and non-default risk (1), whereas the input variables comprise 23 distinct features characterizing each customer.

The results of this study show promising outcomes, highlighting the usefulness of the proposed technique for bancassurance and client segmentation. Remarkably, the dce-GMDH model consistently outperforms the conventional GMDH model, demonstrating its superiority in predicting default risk based on various error criteria.

This study presents a unique approach to predicting default risk in bancassurance by using the GMDH and dce-GMDH neural network models. The proposed method offers a valuable contribution to the field by showcasing improved accuracy and enhanced applicability within the banking sector, offering valuable insights and potential avenues for further exploration.

The researchers aim to investigate the role of psychological capital (PsyCap) in facilitating intrinsic motivation and goal-commitment among employees at the workplace, affecting outcome variables, namely, in-role and extra-role job performance.

Data were collected from 640 employees working in the information technology sector of India. Covariance-based structural equation modeling (CB-SEM) was used to test the hypothesized relationships.

Analysis revealed a significant positive impact of PsyCap on the two behavioral facets of job performance. Intrinsic motivation and goal-commitment were found mediating the influence of PsyCap on the two facets of job performance.

The information technology sector is characterised by continuous change. It requires voluntary prosocial behavior from employees, where the employees are expected to display multifaceted job performance behaviors, where they go beyond their job duties to cater for the dynamics of the IT sector. The present study provides means by which intrinsic motivated and goal-committed behavior are facilitated for both the in-role and extra-role job performance.

The present study is among the few preliminary studies that have provided evidence that intrinsic motivation and goal-commitment are the two variables which aid PsyCap in predicting both the prescribed and voluntary job performance behaviors.

This study aims to carry out a critical analysis of the methods used to deal with the regulatory impact assessment while proposing an alternative method to overcome some of the drawbacks of the aforementioned methods.

To achieve the objective of this work, the methods currently used in regulatory impact analysis are presented by highlighting their scope and the problems they may pose during their applications. After that, the adjusted variant of radial measure is suggested as an alternative method to the aforementioned methods while showing its relevance with regard to other methods using pertinent criteria. Finally, for concretization, a case study related to the sanctions against Russia after its invasion of Ukraine is presented.

The findings show that regulations related to the sanctions against Russia are good enough, with a score of 0.846. However, this score is less good in several countries like Germany (0.671), Italy (0.677) and France (0.745) and in the poorest countries.

The originality of this work resides in using a novel method in the regulatory impact analysis field, which is adjusted variant of radial measure. This method increases the effectiveness of the regulatory impact assessment.

This case is a sequel to the “IndiGrid: Creating India's First Power Transmission InvIT (A)” case. It describes the deal that would replace the trust's original sponsor, Sterlite Power, with a new set of KKR-led financial investors. It provides an opportunity to discuss the consequences of this change on the new investment manager's outlook for management and future acquisitions. The new investment manager, freed from the limiting interest of the original sponsor, had to search for investment opportunities from the perspective of incoming financial investors, which included the new sponsor. It also provides an opportunity to evaluate the trade-offs in investing in operational utility-scale renewable energy assets by the IndiGrid, which had so far only acquired operational transmission assets in its portfolio.

We are long overdue for a conversation about ethical treatment of student researchers. Ethical treatment of research participants has been carefully defined through decades of public conversation, and ethical practices have been institutionalized through mechanisms like mandatory ethics trainings and Institutional Review Boards. Student researchers deserve the same level of consideration. While there are many types of ethical violations of student labor in research projects, there are two that are of particular concern to social movements researchers: use of volunteer labor without clear academic or professional benefits, and failure to ensure the safety of student researchers. The first of these ethical violations is especially common in social movements research because of the emergent nature of protests: new rounds of protests begin and researchers seek to rapidly collect data on a tight timeframe, making grant funding to pay student researchers challenging. The second situation emerges when faculty researchers do not consider the ways students' race, gender identity, or other characteristics, or the nature of the protests themselves might create potential risks for students.

In this paper, I propose using the Belmont Report principles to create guidelines for ethical treatment of student researchers. While these principles were developed for the purposes of protecting research participants, the principles of respect for persons, beneficence, and justice help us to clarify the risks and benefits for student researchers, to find ways to maximize the benefits of student research participation, and to understand and address the inequalities that plague graduate student training.

The study examines whether the Basel-III regulations impact the financial performance, operational efficiency and resilience of Indian banks. Further, the study tests whether there is a variance in the impact between private- and public-sector banks.

The study uses panel data regression on data from 16 private- and 12 public-sector banks from the years 2016–2022. Random-effect estimation is used, and robust standard errors are calculated.

The main findings indicate that the Basel-III regulations related to capital and leverage boost public-sector banks' financial performance and resilience. However, a similar impact is not detected in the case of private-sector banks.

The findings signify that the Basel-III framework does not address the differences between public and private-sector banks. Therefore, the policy implications are of practical importance and indicate that Basel-III regulations should not be considered a one-size-fits-all type of bank. Instead, policymakers should consider the structural differences between private and public-sector banks concerning Basel-III regulations.

The study addresses a significant limitation of the Basel-III regulations, which, in their current state, somehow fail to account for the differences between the public- and private-sector banks.

Prior research suggests that collaboration is key to sustainable community development and environmental management, and peer-to-peer learning (P2PL) may facilitate community building and collaborative learning skills. This study aims to examine the effect of P2PL on the enhancement of environmental management and sustainable development skills, community building and social capital (i.e. connectedness) and understanding of course learning objectives.

Quantitative and qualitative longitudinal survey data was collected in a sustainable development focused course offered at a large American public university that uses P2PL to explicitly facilitate community building and collaborative skills. Safety precautions and changing locational course offerings due to the COVID-19 pandemic in years 2020, 2021 and 2022 provided an opportunity to evaluate the impact of P2PL on these skills during both virtual and in-person formats. Additionally, this study compared in-course student evaluations with students taking other sustainable development-related courses with collaborative learning aspects to understand the wider effectiveness of this course structure.

This study finds that course format (virtual vs in-person) overall made no difference in either connectedness or conceptual understandings, and that students in both formats felt more connected to others than students taking other courses with P2PL. Scaffolding P2PL and supplemental peer support can yield improved connectedness and learning among students taking environmental coursework.

Sustainable development requires group collaboration and partnership building skills. Issues are consistently raised about the challenges to teaching these skills in higher education. The students and instructors in this research study identify P2PL strategies to address these challenges for in-person and virtual classroom settings.

We conducted both a field study and an experiment to examine why college students use laptops for note-taking, and how it impacts their performance in a managerial accounting course. Our study is unique because it takes place in an accounting setting, it incorporates the use of an interactive note packet, and it compares the effect of computer use among students in the lower half versus upper half of academic performance. We found that students chose to use a laptop to complete the notes primarily because of its ease, while those taking longhand notes did so because they felt it enhanced their learning. There was no significant difference in average test scores and course grades between the two groups overall or among students in the upper half of academic performance. However, the use of a laptop had a strong negative effect on students in the lower half of academic performance.

The digital direct-to-consumer (D2C) approach has seen widespread adoption across many industries, but its application to regional food products has been slower. This study aims to identify and rank the most significant challenges to the widespread use of digital D2C for regional food products.

A multi-criteria decision-making method called a fuzzy analytic hierarchy process (FAHP) was used to determine the order in which these obstacles were evaluated. Thirty-five barriers were identified and categorized into six categories named technological, operational, sociocultural, financial, market and institutional and regulatory barriers.

Market barriers ranked as the top barrier, and the technological barrier ranked the least significant amongst the main barrier categories for the adoption of digital D2C model for the regional food products. Lack of consumer awareness ranked number one globally, and lack of government subsidies ranked the least amongst the thirty-five identified barriers. Operational barriers came out to be second most significant barrier followed by institutional and regulatory barrier, sociocultural barrier, financial barrier and technological barrier.

The findings of this research were derived through a numerical examination of data gathered from the Indian setting. It follows that the technological, sociocultural, financial, market, operational and institutional constraints, among others, outlined here are all unique to India. Because of the unique nature of the Indian setting, the results of this study can only be used there and not elsewhere. It is possible that future research will broaden the aims of this one and refine its methodology. Digital D2C adoption for regional food products may be prioritized and ranked using quantitative and qualitative data sources like ANP and TOPSIS. It is possible that similar studies may be conducted in nations which have a different set of operational, technological, sociocultural market and financial and regulatory barriers. Conceptual framework can be formed by integrating TAM and TPB to understand the buying behavior of regional food products via digital D2C.

This research is the first to identify challenges to the widespread use of the digital D2C model for regional food products. Policymakers and other interested parties can use this information to better understand the difficulties of expanding the distribution of regional food products beyond their immediate regions.