https://www.sabapub.com/index.php/sebr/issue/feed Studies in Economics and Business Relations 2024-06-01T03:55:55+00:00 Open Journal Systems <p>Studies in Economics and Business Relations (SEBR) is a peer reviewed international journal published by Saba Publishing. The aim of the journal is to provide a venue for researchers and practitioners to share theories, views, research and results in areas of Economics, Management, Accounting, Auditing and Finance. Articles are published in English.</p> <p><strong>Editor in Chief: <a href="https://sabapub.com/index.php/sebr/about/editorialTeam" target="_blank" rel="noopener">Dr. Faozi A. Almaqtari</a></strong><br /><strong>ISSN (online)</strong>: <a href="https://portal.issn.org/resource/ISSN/2709-670X">2709-670X</a><br /><strong>Frequency:</strong> Biennial</p> https://www.sabapub.com/index.php/sebr/article/view/1050 Artificial Intelligence-driven corporate finance: enhancing efficiency and decision-making through machine learning, natural language processing, and robotic process automation in corporate governance and sustainability 2024-05-05T00:23:43+00:00 Nitin Liladhar Rane nitinrane33@gmail.com Saurabh P. Choudhary saurabh.choudhary@ves.ac.in Jayesh Rane jayeshrane90@gmail.com <p>This research paper delves into the transformative possibilities of Artificial Intelligence (AI) within corporate finance, specifically focusing on its role in improving efficiency and decision-making processes. Through the utilization of machine learning, natural language processing (NLP), and robotic process automation (RPA), AI introduces innovative methods for enhancing corporate governance and sustainability practices. In the contemporary business landscape, corporations encounter mounting pressure to streamline operations while simultaneously addressing concerns regarding environmental, social, and governance (ESG) issues. Conventional finance methodologies often struggle to efficiently handle large volumes of data and extract actionable insights promptly. However, AI presents a shift in paradigm by enabling automated data analysis, recognizing patterns, and conducting predictive modeling, thus enabling finance professionals to make data-informed decisions swiftly and accurately. Machine learning algorithms play a pivotal role in detecting patterns and correlations within financial data, facilitating proactive risk management and strategic planning. Additionally, NLP technologies facilitate the extraction of valuable insights from unstructured data sources like regulatory filings, news articles, and social media, thereby enabling informed decision-making in corporate governance and sustainability endeavors. Moreover, RPA simplifies repetitive tasks and workflows, thereby reducing operational expenses and freeing up human resources for more strategic pursuits. Through the automation of routine processes such as data entry, reconciliation, and reporting, RPA enhances operational efficiency and ensures adherence to regulatory standards. Through the adoption of AI technologies, corporations can unlock novel avenues for innovation, optimize resource allocation, and promote sustainable growth within today's dynamic business milieu.</p> 2024-06-01T00:00:00+00:00 Copyright (c) 2024 Studies in Economics and Business Relations