Since the outburst of Covid-19 in China, the world economy is passing in a turmoil situation. Undeniably the economy of Bangladesh is also grappled by the severe public health crisis of the Covid-19. As the public health emergency is heavily interconnected with economic affairs, it has impacted each of the pillars of the economy of Bangladesh. The main purpose of this paper is to make evaluations of the potential impact of the COVID-19 pandemic on the economy of Bangladesh. This study is based on an empirical review of the recent study works, reports, working papers of home, and abroad regarding economic crisis. The review findings of the paper revealed that the COVID-19 pandemic have significant impacts on the different indicators of the economy of Bangladesh especially, Readymade Garments Sector, Foreign Remittance, Bank and Financial Institutions, Food and Agricultures, Local Trade, Foreign Trade (Export and Import), GDP (Gross Domestic Product), SDGs (Sustainable Development Goal), Government Revenue and Employment etc. This study suggested that as Covid-19 still surfacing all over the world so some steps should be ensured by the government agencies of Bangladesh to mitigate possible threats for the economy.

The paper aims to identify major’s regulatory challenges are facing in maintaining proper harmonization of Shariah rulings of Islamic Bank across the world in the cross-border activities. The study found that the Islamic banking is confronting challenges to make appropriate rules and regulations for making the common standardized mode of finance to cope up with present market demand for their customer with conventional counterpart base on the Islamic sharia principles. Particularly, in the arena of competing in the global markets and establish unique regulatory institutions for proper harmonization of Shariah rulings of Islamic Banks over the cosmos in the cross-border actions. The study recommends that policymakers are to pay attention to solve the above regulatory issues to face the existing challenges for the smooth financial operation in the future. JEL Classification Codes: G21, G24, L26, P51.

Social media is a globally known and widely used means of social communication that has brought most people very close in today's world especially the Z generation or iGen who are more familiar and attracted to this medium. Among them are university students who mostly prefer to spend time on it and as a result, it might have either positive or negative effects on their academic studies. The current study aims to investigate the effect of social media on the academic performance of university students in Bangladesh. A well-structured questionnaire is used to collect data from 150 students of Islamic University, Kushtia, Bangladesh and they are selected based on a convenient sampling procedure. Both descriptive and inferential statistics are applied to analyze the data. The study found that 73% of students engaged in social media for non-academic purposes and most of them visited the Facebook site. The study also found that the majority of the students visit social networking sites at home, and in residential halls, while most of them spend time on average more than four hours daily, and mostly from 6.00 pm to 6.00 am. The study reveals that time spent on social media and excessive usage of social media negatively impacts students’ academic performance. The study recommends that parents, teachers, and students’ advisor in the university guide and monitor students properly so that they can’t misuse social media.

Background: Bangladesh is a densely populated country. It encompasses various problems, unemployment is one of them. Each year a large number of graduates are added to the unemployment incubator. The country's economic and social progress has been destroyed due to serious unemployment problems. This problem can be solved by arousing entrepreneurship. The successful entrepreneur plays a vital role in economic development, control of serious economic disorder, social and sustainable development challenges.Purpose: This research investigates the factors that influence the entrepreneurial behavior of Bangladeshi business graduates. Design/methodology/approach: This research is quantitative in nature. The primary data was collected from 100 business graduates of the Islamic University of Bangladesh. Various statistical analyses, such as demographic, descriptive, correlation, and regression, were used to achieve the study's aims. For measuring data popular software, SPSS was applied in this study. Findings/Result: The study found a strong positive correlation between the independent variables of general skills, risk-taking, knowledgeability, persuasive ability, persistence, and hard work, and the dependent variable of entrepreneurial behavior. Conclusion: The study proved that graduates with positive entrepreneurial behavior have a great chance of being successful entrepreneurs. This study suggests that entrepreneurship education and training programs can be used as an arm for promoting entrepreneurship.Originality/value (State of the art): The added value of this research is that it explores how entrepreneurial behavior influences one to become a successful entrepreneur in the future. Keywords: entrepreneurial behavior, business graduates, entrepreneurship, Bangladesh, ntrepreneurship education

AI is reshaping how organizations approach environmental, social, and governance (ESG) performance, yet the scholarly literature examining this intersection remains fragmented. This study presents a bibliometric and knowledge mapping review of 1,959 publications from the Web of Science Core Collection and Scopus databases (2010-2026). Using a multidimensional methodological approach that combines performance analysis, co-word analysis, co-citation analysis, bibliographic coupling, co-authorship analysis, thematic evolution, thematic mapping, burst detection, and citation path analysis. We apply sophisticated Python-based analytics for bibliometric analysis and map the conceptual, intellectual, and social structures of this emerging field. Our findings reveal explosive growth beginning in 2020, with China, the United States, and the United Kingdom as the most prolific contributors. The conceptual landscape centers on seven distinct themes, anchored by artificial intelligence, ESG, machine learning, sustainability, and green innovation. Thematic evolution traces a clear progression from foundational discussions (2010-2015) toward applied AI-driven ESG applications (2021-2026). Emerging frontiers, including generative AI for ESG reporting, explainable AI in sustainability governance, and AI-enabled greenwashing detection, signal where the field is heading. We contribute an integrated theoretical framework bridging traditional strategic management theories with AI-specific perspectives, including algorithmic opacity and socio-technical systems theory. These findings offer a foundation for future scholarship and practical guidance for managers and policymakers navigating the intersection of AI and sustainability.