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: Previous studies explain lots of insights on hotel management in terms of service quality, challenges, issues, and problems faced in the inns. However, there is a gap in bridging the strengths, weaknesses, opportunities, and threats of hotels common faces. This study addressed the gap by approaching the customer-centric viewpoint. The study looks to ascertain the strengths (S), weaknesses (W), opportunities (O), and threats (T) of the hotel management from a customer perspective and to find the connection among the hotel facilities and frequency of customer visits for staying. The results enlighten that there is significance between the hotel amenities, price affordability, and frequency of the visit of customers. Therefore, amenities consistently give guests a comfortable space to remain longer and foster a positive perception of the hotel. The research's results are restricted to the study region; they may vary over time and between regions. From a competitive perspective, service quality contributes to the hotels by increasing their strengths and opportunities and decreasing weaknesses and threats.
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: 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: The COVID-19 pandemic accelerated digital adoption across sectors, rapidly restructuring Indian e-commerce. AI is a critical enabler of operational efficiency-from planning supply chains to automating customer support. The study attempts to understand post-COVID transformations in AI-related employment trends in various e-commerce subsectors in India. While AI threatens entry-level, routine applications, it creates a demand for professional jobs further involving AI development, data science, and digital operations. The study, thus, employs mixed methods, using secondary data sets and qualitative case studies, to comprehend the sectoral landscape of AI impacts on employment. It attempts to understand the potentials and challenges of AI, drawing on assessment of its socio-economic impact so as to arrive at recommendations on reskilling policies and inclusive employment strategies.