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.

Business Analytics for Effective Decision Making is a comprehensive reference that explores the role of business analytics in driving informed decision-making. The book begins with an introduction to business analytics, highlighting its significance in today's dynamic business landscape. The subsequent chapters review various tools and software available for data analytics, addressing both the opportunities and challenges for professionals in different sectors. Readers will find practical insights and real-world case studies across diverse industries, including banking, retail, marketing, and supply chain management. Each chapter provides actionable insights and concludes with implications for implementing data-driven strategies. Key Features: Practical Examples: Real-world case studies and examples make complex concepts easy to understand. Ethical Considerations: Guidance on responsible data usage and addressing ethical implications. Comprehensive Coverage: From data collection to analysis and interpretation, the book covers all aspects of business analytics. Diverse Perspectives: Contributions from industry experts offer diverse insights into data analytics applications in business research, marketing, supply chain and the retail industry. Actionable Insights: Each chapter concludes with practical implications for implementing data-driven strategies.

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.