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Title: Voluntary Disclosure Practices in Jordan: Exploring the Key Drivers and Implications

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.

By Alaa Mohamad Malo Alain
In Volume: 14,Issue: 1
Title: An Analytical Study of Impact of Merger and Acquisition on the Financial Performance of Selected Indian Banks

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.

By Deepak Verma, Manoj Kumar Agarwal
In Volume: 14,Issue: 1
Title: Ethical AI Integration and the Future of Employee Rights at Work

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.

By Kanika Maheshwari
In Volume: 14,Issue: 1
Title: Artificial Intelligence and Employment Shifts in India’s E-Commerce Sector: A Sectoral Post-Covid Analysis

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.

By S.K.S. Yadav, Samreen Khan
In Volume: 14,Issue: 1
Title: Best Practices in Microcredit Governance: Lessons from Bangladesh

Abstract: The performance of two prominent microcredit providers—Grameen Bank and BRAC NGO—is examined in this paper, with particular attention paid to their different organizational structures and governance frameworks. As a borrower-owned cooperative, Grameen Bank promotes member involvement in decision-making, which, through group lending, encourages ownership and peer support but may also lead to social pressure. BRAC NGO, on the other hand, employs a centralized governance model and offers a thorough approach to micro credit that is in line with its larger social development initiatives. Although this strategy provides comprehensive assistance, it may not be as flexible to meet the needs of each borrower. Although borrower choices and economic conditions have an impact on their effectiveness, both groups aim to increase loan attachment and reduce poverty. While BRAC depends on a combination of donor money and revenue-generating operations, Grameen Bank places a higher priority on self-sufficiency. The impact and sustainability of microcredit systems might be improved by fusing the advantages of both models—BRAC's integrated approach and Grameen Bank's borrower ownership.

By Tahmina Akhter, Shanzida Hassan
In Volume: 14,Issue: 1
Title: Gender Dimension and Safety Issue of Female Workforce of the Garment Industries in Bangladesh

Abstract: Bangladesh is one of the most prominent developing country in the world, the RMG sector is one of the prime earning sources of Bangladesh. Now Bangladesh is listed one of the gigantic garment exporters of the world. The garment industry is around Eighty four percent of total exports zone of Bangladesh. In Bangladesh more than four million people are worked in this garments industry. Around eighty percent (that is, 3.2 million workers) of the garment workers are female in Bangladesh. According to Bangladesh Garment Manufacturers and Exporters Association (BGMEA), the female garments workers are victim of high prevalence of violence and injustice in the work place. The violence and injustice the female garments workers are faced are adversely affect their physical and mental state. This research paper discusses the complication of gender dimension, fitness, well being and protection matters and hurdle of female garment workers of Bangladesh. Here the author used regression analysis, chi-square test, pearson R test, independent T test in order to explain the factors affect safety issue of female garments workers and the injustice towards them.

By Samira- Binte- Saif
In Volume: 14,Issue: 1

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