Digital Transformation in Education and Artificial Intelligence: Emerging Markets and Opportunities aims to shed light on the various advantages and drawbacks of the same along with the opportunities and markets that are emerging because of digital transformation. This volume encompasses diverse perspectives on the digital landscape for Small and Medium Enterprises (SMEs). It delves into the use of digital tools like Big Data, IoT, AI, and ML in Chapter 1, followed by an exploration of factors influencing online shopping adoption in SMEs in Ghana (Chapter 2). Chapter 3 sheds light on the digital transformation of African SMEs, while Chapter 4 offers insights into the consequences of digitalization for SMEs in Sub-Saharan Africa. The subsequent chapters cover topics such as the impact of Big Data on SMEs' performance, digitization initiatives for African telecom service providers, the role of social media as a promotional tool for SMEs in Ghana, and the utilization of Artificial Intelligence by SMEs in Africa, addressing both benefits and challenges. The chapters provide information for educators at all levels to obtain a complete understanding of the technology-based environment that impacts teaching and commerce. It also serves as a resource for policymakers, entrepreneurs, researchers, and students interested in digital transformation in Africa.

Digital Transformation in African SMES: Emerging Issues and Trends aims to shed light on the various advantages and drawbacks of the same along with the opportunities and markets that are emerging because of digital transformation. This book provides comprehensive insights into the role of electronic commerce in the success of Small and Medium Enterprises (SMEs) in developing countries, with a specific focus on Africa (Chapter 1). Chapter 2 explores the nexus between digital transformation and SME performance, offering perspectives from developing economies. The challenges faced by SMEs in Africa regarding the adoption of Big Data are examined in Chapter 3. Chapter 4 delves into the exploration of email marketing strategies among SMEs. Additionally, the book covers factors influencing the adoption of Big Data by SMEs in Africa (Chapter 5) and investigates the use of technology by SMEs and its impact on the firms (Chapter 6). Chapter 7 focuses on key factors and impacts related to the adoption of social media by Small and Medium Enterprises. The volume provides information for educators at all levels to obtain a complete understanding of the technology-based environment that impacts teaching and commerce. It also serves as a resource for policymakers, businessmen, researchers, and university and college students, interested in digital transformation in Africa.

The Regional Comprehensive Economic Partnership (RCEP) is a free-trade deal between 10 ASEAN member states and Australia, China, Japan, New Zealand, and South Korea. It is the world's biggest regional trade deal, and it will create the world's most populous trade area. This edited collection features 10 contributions from multidisciplinary authors and is meant to share research and best practises on different aspects of the RCEP. It presents research projects that contribute to the discussion about the theory, lessons learned, and business strategies, to give a better understanding of the RCEP and how it can shape policy in member countries. The themes in each chapter can also serve to evaluate reports on the RCEP's overall progress. The book covers a broad range of subjects, including an overview of the RCEP, digital economy, peer-to-peer lending, international e-commerce, big data, ICT readiness and much more. This work is a key source of information and reference for RCEP development for academics and researchers (in economics and political science), government and trade organisations and policymakers interested in the RCEP. Members of the general public who want to understand debates surrounding the RCEP will also benefit from the information provided.

This research book compiles concise reviews on business trends that drive innovation and competitive advantages. The book includes 15 referenced chapters covering topics in advertising, agriculture, digital marketing, human resource management, healthcare and sustainability. Chapters focus on the use of disruptive technologies such as virtual reality, artificial intelligence and Internet of Things that harness the power of big data and visualizations to provide a framework for insightful analytics. Readers will be able to understand the practical applications and implications of these technologies so that they can apply them to their businesses. Special topics of interest are highlighted, including industry 4.0, women empowerment for industry 5.0, sustainability models for achieving UN SDG 9, over the top media platforms, and more.

Artificial Intelligence in Business Management is a review of artificial intelligence (AI) applications in businesses. This book adopts a cross-disciplinary strategy toward AI adoption. Book chapters explore many projects that go beyond simple data management and accessibility to showcase the growing role of artificial intelligence and machine learning in the enterprise data space. AI methods for tackling marketing and commercial strategies, as well as the use of AI and machine learning in tourism, insurance and healthcare systems, are discussed. A study on the significance of cultural assets in evaluating risks and protection is also presented. The content gives valuable insights on the application and implications of artificial intelligence and machine learning from this book to readers aiming for corporate roles, such as directors, executives, senior software developers, and digital transformation managers. The book is an essential resource for researchers and professionals in business, economics, and allied disciplines.