Abstract: This study aims to measure the impact of the level of voluntary disclosure transparency on improving the quality of published financial reports in Jordanian business enterprises during the year 2024. The study adopted a combination of the inductive and positive approaches by extrapolating previous research and studies on voluntary disclosure and using the positive approach to analyze the quantity and quality of information disclosed in financial reports.
To achieve the study’s objectives, a model for measuring the level of voluntary disclosure was developed based on models previously used in studies conducted in environments similar to the Jordanian context. This model includes 134 elements encompassing strategic, financial, and non-financial information, with the aim of assessing the impact of these components on improving financial report quality. The study defines report quality in terms of the ability of disclosed information to influence the decision-making process of report users within the research population, which consists of publicly listed companies on the Amman Stock Exchange.
Additionally, the study sought to analyze the relationship between several variables—board independence, family ownership percentage, audit committees, and international exposure—and the level of voluntary accounting disclosure. The research sample consisted of 20 publicly listed companies on the Amman Stock Exchange, selected based on specific criteria that serve and contribute to achieving the study’s objectives.
The results revealed a statistically significant positive correlation between board independence, international exposure, audit committees, audit firm size, company size, and company performance and the level of voluntary disclosure transparency. Furthermore, the study found a statistically significant negative correlation between the percentage of family ownership in Jordanian public shareholding companies and the level of voluntary disclosure in financial reports.
Abstract: This research paper compares pre-merger financial performance of selected public sector banks with that of post-merger financial performance. The financial performance is measured by nine different variables that are business per employee (BPE), profit per employee (PPE), net interest margin (NIM), return on assets (ROA), return on equity (ROE), CASA ratio, capital adequacy ratio (CAD), gross non-performing asset(GNPA) and earning per share (EPS). The research is purely based on data collected from annual reports of selected banks. This data is analyzed by using paired t-test and the two tailed significance value is taken for hypothesis testing. The study found a negative impact of merger on financial performance of State Bank of India. While the financial performance of Bank of Baroda, Punjab National Bank, Canara Bank, Union Bank of India and Indian Bank more or less improved post-merger.
All the banks except SBI showed a better utilization of human resource as the business per employee is increased significantly. Only Union Bank of India showed improvement in profit per employee variable and return one quity. Net interest margin of four banks namely Bank of Baroda, Canara Bank, Punjab National Bank and Union Bank of India improved post-merger. It is observed that overall funding cost benefits that are measured by CASA ratio is seen in State bank of India and Indian Bank. The capital adequacy ratio increased in case of Indian Bank, Punjab National Bank and Union Bank of India. No major benefit of merger is seen on gross NPA except in case of Canara Bank. Earnings per share of all six banks did not show any significant impact of merger.
Abstract: National Bank for Agriculture and Rural Development (NABARD) formed in 1982 on 12th July is India's leading agricultural finance and rural development institution. This paper critically examines NABARD's development, financing, and supervisory roles with particular reference to the operations of its organizational hierarchies. NABARD performs as a support system for rural banking organizations' refinancing, financial inclusion, financing infrastructure operations, and promoting capacity-building schemes such as Self-Help Groups (SHGs), Farmer Producer Organizations (FPOs), and Primary Agricultural Credit Societies (PACS). Its departments such as Financial Inclusion and Development, Infrastructure and Development, and Supervision allow NABARD to support rural credit infrastructure and policy adherence. This paper assesses the performance of NABARD in rural development, climate resilient farming, and inclusive growth. Imbalanced credit flow to regions, over-reliance on government support, weak digital connectivity, and congruence of youth training skills remain issues despite these advancements. Despite these issues, NABARD remains a powerful instrument of sustainable rural development and farm advancement in India. This paper thus concludes the relevance of policy reforms, technology adoption, and greater autonomy to improve NABARD's long-term performance.
Abstract: The COVID-19 pandemic, which began as a global health crisis, quickly escalated into a far-reaching economic disruption, significantly impacting industries across the world. The Indian sugar industry—one of the country’s most critical agro-based sectors—was no exception. As a key contributor to rural livelihoods, employment, and the national economy, the industry found itself grappling with unprecedented challenges across its entire value chain. The impact was observed from the very first stage of sugarcane cultivation, which faced labor shortages and transportation issues, to the subsequent phases of processing and manufacturing, which suffered from reduced mill capacities and supply chain constraints.
Ethanol production, a major revenue source through the Ethanol Blended Petrol (EBP) programme, experienced demand fluctuations tied to global oil market volatility. Moreover, marketing and export activities came to a near halt due to domestic lockdowns and international trade restrictions, resulting in inventory surpluses and financial stress across the sector. This study provides a comprehensive analysis of the multifaceted disruptions caused by the pandemic. It highlights the systemic vulnerabilities exposed during the crisis, the operational and financial challenges encountered by stakeholders—ranging from farmers to mill operators—and the mitigating measures undertaken by both the government and industry associations.
In addition, the research proposes a strategic recovery roadmap focused on diversification, supply chain resilience, policy adaptability, and long-term sustainability. By exploring these dimensions, the study aims to contribute to the development of a more robust and crisis-resilient Indian sugar industry in the post-pandemic era.
Abstract: Artificial Intelligence (AI) has become increasingly central to both economic progress and modern business practices. While much public discussion has centered on the societal and ethical dimensions of AI—particularly in relation to data privacy and human rights—there has been comparatively less attention on how AI is transforming traditional workplace dynamics, especially in the area of occupational health and safety. Although concerns about human rights and gig economy conditions are well-documented, the potential implications of AI for day-to-day worker safety remain underexplored. This paper seeks to fill that gap by introducing a conceptual framework for an AI Work Health and Safety (WHS) Scorecard. This tool is designed to help identify and manage workplace risks linked to AI deployment. Drawing from a qualitative, practice-oriented research project involving organizations actively implementing AI, the study outlines a set of health and safety risks derived from aligning Australia’s AI Ethics Principles and Principles of Good Work Design with the AI Canvas—a tool traditionally used to evaluate AI’s commercial value. The study’s key innovation lies in a newly developed matrix that maps known and anticipated WHS and ethical risks across each stage of AI adoption, offering a structured approach to evaluating AI’s workplace impact.