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This study examines the relationship between financial reporting quality, Industrial Revolution 4.0 and social well-being of stakeholders among public companies in Malaysia.

The sample of the study includes 232 firm-year observations of Malaysian publicly listed companies from 2013 to 2017. Social well-being is measured using social pillar scores from the Environmental, Social and Governance (ESG) data provided by Refinitiv. The study identified companies as an adopter of IR 4.0 based on their disclosure on the use of autonomous robots, simulation, cloud, horizontal and vertical system integration, cybersecurity, additive manufacturing, augmented reality and big data analytics in their financial reports. Financial reporting quality is measured using discretionary accruals.

This study found that financial reporting quality and IR 4.0 are related to social well-being, particularly the workforce. These results imply that companies with higher adoption of IR 4.0 are more likely to provide more information concerning job satisfaction, a healthy and safe workplace, maintaining diversity, equal and development opportunities for its workforce. Furthermore, the results show that firms with lower discretionary accruals (i.e. higher quality of financial reporting) are more likely to provide more information about social well-being. The results are robust even after addressing endogeneity issues.

This research contributes new insights into the role of financial reporting quality and IR 4.0 in enhancing social well-being in Malaysia. These findings offer valuable input for regulators striving to advance the United Nations' 2030 Agenda for Sustainable Development.

This study carries substantial practical implications for policymakers and businesses alike. It underscores the importance of embracing IR 4.0 technologies and integrating them into strategic planning to foster social well-being. These insights can guide policymakers in shaping economic strategies and assist businesses in prioritizing financial reporting quality while engaging stakeholders to promote social well-being.

This is the first study to investigate the combined relationship of financial reporting quality and IR4.0 on social well-being, which provides valuable evidence in this novel domain. While previous studies have primarily explored the relationship of IR4.0 on sustainability from an environmental and human resource perspective, this study sheds light on the specific dimension of social well-being, hence promoting sustainable development goals by the United Nations in 2030.

This study aims to present an innovative predictive methodology that transitions from traditional efficiency assessment techniques to a forward-looking strategy for evaluating working capital management(WCM) and its determinants by integrating data envelopment analysis (DEA) with artificial neural networks (ANN).

A slack-based measure (SBM) within DEA was used to evaluate the WCME of 1,388 firms in the Indian manufacturing sector across nine industries over the period from April 2009 to March 2024. Subsequently, a fixed-effects model was used to determine the relationships between selected determinants and WCME. Moreover, the multi-layer perceptron method was applied to calculate the artificial neural network (ANN). Finally, sensitivity analysis was conducted to determine the relative significance of key predictors on WCME.

Manufacturing firms consistently operate at around 50% WCME throughout the study period. Furthermore, among the selected variables, ability to create internal resources, leverage, growth, total fixed assets and productivity are relatively significant vital predictors influencing WCME.

The integration of SBM-DEA and ANN represents the primary contribution of this research, introducing a novel approach to efficiency assessment. Unlike traditional models, the SBM-DEA model offers unit invariance and monotonicity for slacks, allowing it to handle zero and negative data, which overcomes the limitations of previous DEA models. This innovation leads to more accurate efficiency scores, enabling robust analysis. Furthermore, applying neural networks provides predictive insights by identifying critical predictors for WCME, equipping firms to address WCM challenges proactively.

The current study immerses in the realm of bank mergers among prominent PSBs in India, focusing on the financial performance of six recently merged PSBs entities. Amidst the global impact of the COVID-19 pandemic on economies, the study aims to uncover the efficiency of these PSBs in navigating this unprecedented crisis.

The evaluation encompasses panel data on an annual basis spanning from 2020 to 2023. To assess the overall efficiency of merged PSBs, the advanced statistical technique like one-step system generalized method of moments has been applied to estimate its efficiency.

The study findings affirm that PSB mergers have bolstered financial metrics and efficiency. Enhanced return on equity (ROA) and net profit margin (NPM) signify improved profitability and efficiency. The consolidation also facilitates better asset management and utilization. Moreover, merged entities benefit from economies of scale, cost efficiencies, risk diversification, technological investments, and overall performance improvements.

The study's policy suggestions stress ongoing consolidation efforts to boost banking sector resilience, advocating for improved efficiency, governance, and asset quality management. These steps are crucial for successful bank mergers and fostering a robust, competitive banking landscape in India.

This study is a novel attempt to analyze Indian bank profitability and efficiency post PSB mergers amid COVID-19 pandemic. In a developing country like India, especially in PSBs has experienced significant structural changes over the previous 7 years just before pandemic, such a study necessitates a prompt empirical investigation.

The aim of this paper is to determine whether the efficiency of banks’ human capital (HC) has moderating effects on the relationship between asset diversification and bank performance over the 2008–2020 period.

Our study considers generalized least squares estimation in fixed effects panel.

Results show that banks with higher levels of HC and higher degree of diversification reduce bank profitability and efficiency. The results also depict that the financial stability-reducing effects of Income diversification decrease as bank HC efficiency increases. At the same time, the effects of income and asset diversity on financial stability change depending on the performance aspect.

Previous research on banks’ performance is concentrated on asset diversification. This article broadens to the HC, Asset diversification and the moderating effects of the profitability, stability and efficiency of French Banks.

The pharmaceutical industry is facing significant pressure to tackle antimicrobial resistance (AMR). Other ecological, societal and regulatory pressures are also driving the industry to “go green”. While such a (green) transition could be possible through appropriate green practices’ implementation, the present understanding about it is superficial and vague. A key reason is the lack of green practices’-related studies on pharmaceuticals, which are also insufficiently comprehensive. This knowledge gap is sought to be addressed.

A systematic literature review (SLR) was conducted with 73 carefully selected articles, then subjected to thematic content analyses for synthesising the relevant themes and sub-themes.

Around 76 operational-level green practices covering all key stakeholders across the drug lifecycle were identified. It was revealed that designing drugs having accelerated environmental degradability is important to combat AMR. Also, redesigning existing drugs is environmentally more resource-intensive than developing new ones with significant cost-saving potential in solvent recycling and flexible manufacturing, both of which are not common at present. With regards to green-related barriers, stringent quality requirements on drugs (and therefore risks in making relevant green-oriented modifications) and time-consuming and costly regulatory approvals were found to be the key ones.

The operational green practices’ framework developed for individual pharmaceutical supply chain stakeholders could help practitioners in benchmarking, modifying and ultimately, adopting green practices. The findings could also assist policymakers in reframing existing regulations, such as Good Manufacturing Practices or GMP-related, to promote greener drug development.

This work is the first systematic attempt to identify and categorise operational-level green supply chain practices across stakeholders in the pharmaceutical sector.

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  Biodegradability of drugs is more important than environmental degradability.

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  Flexible manufacturing process design (or quality by design) reduces resource wastage.

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  Ecopharmacovigilance is effective in combating PIE and AMR-related issues.

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  Upstream and downstream coordination is key to greening pharma operations.

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  Costly and time-consuming regulatory approval is a key barrier to greening pharma processes.

Biodegradability of drugs is more important than environmental degradability.

Flexible manufacturing process design (or quality by design) reduces resource wastage.

Ecopharmacovigilance is effective in combating PIE and AMR-related issues.

Upstream and downstream coordination is key to greening pharma operations.

Costly and time-consuming regulatory approval is a key barrier to greening pharma processes.

The primary objective of this research is to introduce a pioneering takaful model that provides both provision and protection to the aging population by combining the concept of cash waqf with takaful. This model is designed to align with Shariah principles, ensuring sustainability and enduring impact.

This research adopts a qualitative methodology, where a focus group discussion was conducted with six stakeholders. The participants consisted of takaful operators, legal experts and other industry players. The participants were presented with the proposed cash waqf takaful model and their feedback was recorded. Legal issues related to linking waqf with takaful were also identified and discussed.

The study highlights the need for innovative financial solutions to support Malaysia's aging population. It proposes a cash waqf takaful model, leveraging crowd funding for sustainability. Legal hurdles and recommendations for overcoming them are discussed, along with suggestions for future research on quantitative validation and regulatory frameworks. Ultimately, the study emphasizes the holistic approach of the proposed model in addressing the well-being of Malaysia's senior citizens.

The proposed takaful model presents opportunities for takaful operators to integrate Islamic social finance into their operations, enabling easier access to takaful for the elderly community. By eliminating financial barriers, it can transform the takaful landscape, ensuring inclusivity and financial security for aging populations. Moreover, policymakers see it as a blueprint for sustainable financial solutions and social welfare enhancement globally.

The study introduces a novel cash waqf takaful model to support Malaysia's aging population, leveraging crowdfunding for sustainability. It addresses legal challenges unique to Malaysia and proposes collaboration with State Islamic Religious Authorities. Furthermore, it emphasizes the need for further research to validate the model's effectiveness and explores its potential global policy implications.

The objective of the research is to evaluate the carbon footprint of the green asparagus (Asparagus officinalis L.) supply chain, encompassing the agricultural production to the packaging stage in Italy, as it is the sixth largest producer and the second largest in Europe. It provides an assessment in the province of Foggia and highlights the global perspective of the carbon footprint application in agro-food systems.

The carbon footprint (ISO 14067:2018) considers 1 t of packaged fresh asparagus as a functional unit in the agricultural production and packaging stage and is based on primary data collected in one of the leading companies of asparagus production in the province of Foggia, which markets about 0.21 kt of asparagus per year produced in about 31 ha. Data were integrated with face-to-face in-depth interviews and pre-filled checklists.

Findings show that the carbon footprint of 1 t of packaged fresh asparagus is equivalent to 335.31 kgCO2eq, of which 61% in the agricultural stage and 39% in the packaging one. The majority of the emissions are associated with the fertigation and the diesel consumption for the transportation of workers. Farmers should adopt green electricity so as to reduce the emissions associated with the electric pump for the extraction of water from artesian wells. Moreover, it would be desirable to replace mineral urea phosphate with organic fertilizers.

To the best of the authors’ knowledge, scholars have not yet investigated the environmental impacts of the green asparagus supply chain, even if it represents one of the most cultivated vegetables worldwide, with a global production that amounts to 8.5 Mt per year.

This chapter examines how the nature of World War I catalyzed significant changes in the laws of war, the Treaty of Versailles, the failed Leipzig Trials, and the multiple treaties enacted in the 1920s, with particular focus on the Geneva Convention of 1929.

Small retail stores in the luxury market face significant challenges due to fluctuations in market demand. This task turns challenging as it requires effectively coordinating and translating customer needs into specific requirements that align with retail goals and available resources. However, limited empirical research exists investigating how managers can address service value and quality attributes in small retail stores. This article aims to bridge this gap by investigating the role of quality function deployment (QFD) in improving market and quality requirements management in small retail stores.

Based on the case study, a customer survey was initially conducted to gather information on critical characteristics valued in the luxury retail segment. QFD was used to assist the company in identifying and prioritizing key quality attributes to meet customer requirements effectively.

The findings demonstrate that implementing QFD in small luxury retail stores empowers managers to identify previously neglected product and service quality aspects. The article shows that QFD informs organizational adaptations that align with the demands of the retail market, leading to an improved ability to meet customer expectations and enhance customer value through the development of enhanced products and services. The study showcases the efficacy of the tested methodology in effectively capturing and prioritizing both tangible and intangible customer needs in retail.

Findings offer valuable insights to retail managers of small luxury stores, providing actionable market-oriented strategies. By implementing the recommended practices, managers can improve the store’s competitiveness and better cater to the customer base.

This study contributes to bridging persistent knowledge gaps by addressing the unique context of small luxury retail stores and introducing the application of QFD in this setting. The insights gained from this research are relevant to both retailing and quality management literature. Considering the growing prevalence of transformations in the retail industry, the study provides practical implications for retail managers in effectively navigating these changes.