Introduction: This study explores the effects of Artificial Intelligence (AI) chatbots, with a particular focus on OpenAI’s ChatGPT, on Higher Education Institutions (HEIs). With the rapid advancement of AI, understanding its implications in the educational sector becomes paramount.Methods: Utilizing databases like PubMed, IEEE Xplore, and Google Scholar, we systematically searched for literature on AI chatbots’ impact on HEIs. Our criteria prioritized peer-reviewed articles, prominent media outlets, and English publications, excluding tangential AI chatbot mentions. After selection, data extraction focused on authors, study design, and primary findings. The analysis combined descriptive and thematic approaches, emphasizing patterns and applications of AI chatbots in HEIs.Results: The literature review revealed diverse perspectives on ChatGPT’s potential in education. Notable benefits include research support, automated grading, and enhanced human-computer interaction. However, concerns such as online testing security, plagiarism, and broader societal and economic impacts like job displacement, the digital literacy gap, and AI-induced anxiety were identified. The study also underscored the transformative architecture of ChatGPT and its versatile applications in the educational sector. Furthermore, potential advantages like streamlined enrollment, improved student services, teaching enhancements, research aid, and increased student retention were highlighted. Conversely, risks such as privacy breaches, misuse, bias, misinformation, decreased human interaction, and accessibility issues were identified.Discussion: While AI’s global expansion is undeniable, there is a pressing need for balanced regulation in its application within HEIs. Faculty members are encouraged to utilize AI tools like ChatGPT proactively and ethically to mitigate risks, especially academic fraud. Despite the study’s limitations, including an incomplete representation of AI’s overall effect on education and the absence of concrete integration guidelines, it is evident that AI technologies like ChatGPT present both significant benefits and risks. The study advocates for a thoughtful and responsible integration of such technologies within HEIs.

Introduction: Greenwashing in sustainable finance involves misleading portrayals of investment products as environmentally friendly. This study explores the prevalence of greenwashing, its forms, impacts, and potential remedies. It underscores the need to align investor values with genuine environmental sustainability, emphasizing the pitfalls of greenwashing in sustainable finance.Methods: The study employs a scoping review methodology guided by the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework. It involves systematically searching, selecting, and synthesizing evidence from various databases and sources to map critical concepts, types of evidence, and research gaps in greenwashing within sustainable finance.Results: The study reveals diverse greenwashing strategies across industries, including ambiguous language, irrelevant claims, and opacity. It highlights greenwashing’s severe consequences on corporate reputation, financial performance, and stakeholder trust. The effectiveness of regulatory bodies, Non-Governmental Organizations, and certifications in curbing greenwashing is discussed, though their effectiveness is debatable. The research also examines greenwashing’s impact on investor behavior and decision-making.Discussion: This research contributes to understanding greenwashing in sustainable finance, emphasizing vigilance, transparency, and accountability. It calls for more stringent regulations, international cooperation, and public awareness to combat greenwashing effectively. The study also suggests that businesses should adopt genuine and transparent environmental practices to avoid the risks of greenwashing, including legal repercussions. For future research, the study proposes a deeper exploration of the mechanisms enabling greenwashing and the effectiveness of different regulatory strategies and measures to combat it.

This paper aims to investigate the impact of innovation on three macroeconomic indicators: GDP, self-employment, and foreign direct investment (FDI). The study analyses a sample of 120 countries using the Global Innovation Index (GII) and its constituent sub-indices and pillars, which provide a holistic evaluation of national innovation. Gross domestic product (GDP) per capita measures a country’s economic output, self-employment assesses entrepreneurial activity, and FDI indicates confidence in a country’s economic prospects and innovation trends. This study analyzes the data using generalized-linear and panel-corrected standard-error models. The results show that innovation positively influences GDP, domestic institutional framework, local infrastructure, local knowledge and technology, and creative outputs. In contrast, innovation negatively correlates with domestic self-employment, often associated with necessity-driven entrepreneurship. The study concludes that innovation positively affects human resources, research, and creative outputs and has no significant impact on FDI. The findings suggest that a practical regulatory framework, institutional support, domestic human capital, research and development, infrastructure, technology, and creative outputs are essential for a vibrant economy. National innovation policies supporting the GII and its constituent factors can positively affect the economy while reducing self-employment.

Artificial intelligence (AI) is a popular concept for modernizing and automating traditional, time-consuming tasks with smart technology. AI can be applied to a wide range of areas, such as healthcare, finance, law, and education. AI has the potential to revolutionize the way we learn by making education more interactive and engaging. One possible step The way forward in this field is through the use of generative artificial intelligence.technologies like the ChatGPT conversational agent. Although enthusiastic techno-utopian cheerleaders are praising the tool.for answering questions, writing essays, summarizing documents,and generating sophisticated codes, it has some pitfalls that were acknowledged by the creators of OpenAI themselves. In this article, we discuss the application of artificial intelligence in education and put the trendy ChatGPT to the test in an educator-Learner context to see how it performs. We also discuss some of the benefits and drawbacks of ChatGPT and demonstrate how it might be utilized in the classroom. It is essential for educators to understand the implications of this technology and to investigate Strategies to modify the educational environment

This research article examines the relationship between women’s empowerment and corporate ESG disclosure variables by analyzing 10,121 publicly traded companies listed worldwide with historical ESG data available in Bloomberg from 2016 to 2020. The paper seeks to answer whether corporate gender diversity directly affects companies’ ESG disclosure by using proprietary Bloomberg ESG disclosure scores and independent variables such as the female board and executive representation. Control variables, like the company’s return on equity, total debt ratio, and the natural logarithm of total assets as a proxy measurement of the firm’s size, are also included. Results provide evidence that policies that foster corporate gender diversity directly benefit from enhanced ESG-related disclosure, thus helping to trigger national dialogues about suitable corporate gender diversity strategies influencing firms’ ESG disclosure. This paper makes a unique contribution to the literature by being the first to analyze the effects of women’s empowerment on ESG disclosure using a globally representative sample. The evidence of the benefits of women’s empowerment associated with corporate ESG disclosure suggests that organizations with a more gender-diverse corporate board and executive team are more likely to have higher levels of ESG disclosure, as gender diversity increases the likelihood of organizational transparency and accountability, and can lead to improved corporate value. Governments should use this evidence to implement policies promoting women’s empowerment in the corporate world, ultimately leading to improved corporate ESG disclosure.