Keeping up with the hastily growing economy implies undergoing unremitting transformation permanently. In the field of supply chain, such progress can only be guaranteed via the exploration of new horizons and innovative solutions in response to the constraints of the global market. Emerging technologies, particularly artificial intelligence, offer promising avenues for enhancing supply chain processes, with sustainability ascending as a critical consideration. Despite the recent surfacing of AI-driven applications, scant attention has been devoted to exploring their full potential within supply chain operations, particularly in conjunction with SDGs. Recognizing the untapped opportunities presented by the implementation of AI for a sustainable supply chain this study undertakes a bibliometric analysis of 236 research papers sourced from the Web of science database. The analysis utilizes R language BiblioShiny to examine the extracted papers, and dissect patterns, trends, and relationships among key concepts and themes as well as prominent topics, impactful authors, and leading journals and countries in this domain. The findings reveal substantial growth in research related to SCM, AI, and sustainability as the UK leads this field of study with 132 articles followed by India, China and the USA. Eventually, the National University of Singapore came first in terms of paper affiliations, followed by De La Salle University, and London Metropolitan University. These results only prove that sustainability is becoming more critical in the equation of AI-driven supply chains especially with the current socio-political and economic circumstances, constituting a solid base for further academic research and more innovations in the managerial and business-related policies in this field.

Since its issue in 2009, the IFRS for SMEs have been studied by many researchers. Each one of them performed his research according to a precise perspective and varied methodologies.The goal behind this article is to present a Structured Literature Review of the most relevant publications (Citation Classics) of the IFRS for SMEs by studying their impact, as well as their contributions, critique and future research path.

In the ever-evolving landscape of global economics, accounting stands as the universal language of business. This book explores the vital role of accounting in articulating economic, social, and environmental activities. It provides a detailed comparison among Moroccan GAAP, IFRS, and US GAAP, highlighting the challenges and opportunities of harmonizing accounting standards in the context of Morocco's unique business environment. Each chapter is crafted to offer practical guidance and technical insights. From property, plant, and equipment (IAS 16) to intangible assets (IAS 38), leases (IAS 17), and inventory valuation (IAS 2), International Financial Reporting Standards in the MENA Region: Adaptation and Application in Morocco covers essential standards with a focus on their real-world applications. Special emphasis is placed on the preparation of cash flow statements (IAS 7), a crucial aspect often overlooked in the Moroccan accounting framework. Through practical case studies and comparative analyses, readers will gain a comprehensive understanding of the principles governing financial statements and the importance of transparency and investor confidence. This book is an indispensable resource for accounting professionals, academics, and anyone interested in the global standardization of financial reporting. <!----> <!----> <!----> <!---->

This study aims to provide a review of current research on artificial intelligence use in marketing by examining 661 papers related to AI and marketing from the Web of Science database published in the last twenty years. Using bibliometric analysis, the study sheds light on the present research status, identifies trends, and explores future directions in AI and marketing research. Keyword co-occurrence analysis is utilized to uncover patterns and themes within the literature, offering insights into the field's evolution and emerging research areas. The analysis reveals several significant findings. Notably, it emphasizes the growing importance of AI in marketing, with China and the USA emerging as key contributors. Additionally, a considerable number of papers are funded by agencies and universities, underlining the topic's significance. Based on keyword co-occurrence analysis, four primary research themes are identified: Application of AI in marketing, AI in Marketing Analysis and Forecasting, AI in decision making and optimization, and AI and data analysis.