Emerging Economies Risk And Development And Intelligent Technology

RACR is a series of biennial international conferences on risk analysis, crisis response, and disaster prevention for specialists and stakeholders. RACR-2015, held June 1-3, 2015 in Tangier, Morocco, was the fifth conference in this series, following the successful RACR-2007 in Shanghai (China), RACR-2009 in Beijing (China), RACR-2011 in Laredo (US

"The ongoing COVID-19 pandemic marks the most significant, singular global disruption since World War II, with health, economic, political, and security implications that will ripple for years to come." -Global Trends 2040 (2021) Global Trends 2040-A More Contested World (2021), released by the US National Intelligence Council, is the latest report in its series of reports starting in 1997 about megatrends and the world's future. This report, strongly influenced by the COVID-19 pandemic, paints a bleak picture of the future and describes a contested, fragmented and turbulent world. It specifically discusses the four main trends that will shape tomorrow's world: - Demographics-by 2040, 1.4 billion people will be added mostly in Africa and South Asia. - Economics-increased government debt and concentrated economic power will escalate problems for the poor and middleclass. - Climate-a hotter world will increase water, food, and health insecurity. - Technology-the emergence of new technologies could both solve and cause problems for human life. Students of trends, policymakers, entrepreneurs, academics, journalists and anyone eager for a glimpse into the next decades, will find this report, with colored graphs, essential reading.

This book introduces inclusive-cost-effective (ICE) approaches that have the potential to transform all aspects of daily lives of people at the base of the pyramid in the economic scale, who represent more than 75% of the world population. ICE means that the approaches must meet the affordability level at the base of the pyramid. This includes mobile banking and financial service technologies, mobile education, rural information and communication technologies, telemedicine, e-Health, and health social networks. This monograph is a compulsory reading for not only technology innovators, but also economists, social entrepreneurs, development specialists, health specialists, bankers and researchers and policy thinkers on technology and economic development.

This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.

Despite its economic impact, understanding what shaped emerging economies’ success seems to be a mystery. These complexities are compounded by fast moving technologies, such as the increased usage of artificial intelligence (AI) and the internet of things (IoT). These new technologies have a social impact, but it is how these impacts are developed and managed by people and companies that is significant. Similarly, it is important to investigate how the uncertainties and intangible factors are dealt with and how businesses can utilize innovative approaches to become adaptive in emerging market economies. Research is needed to determine how actors or businesses interact to shape and define either new institutions, new industries, or new innovation to meet the need of potential customers in emerging economies. Innovation Management and Growth in Emerging Economies explores how innovation from emerging economies is being developed through strategic choices and presents the benefits and the drawbacks, the processes, and the characteristics and management practices of both private and/or public organizations. The chapters identify the trends and approaches to innovation development as well as the strategies of adapting and converting threats and challenges into opportunities. The target audience of this book is composed of practitioners, policy influencers, course instructors, professionals, academicians, students, and researchers in the fields of business, administrative sciences, management, and economics.

New technologies such as artificial intelligence, blockchain, the Internet of Things (IoT), etc. are redefining business processes around the world at a rapid rate and resulting in both great opportunities and challenges for businesses. Though these technologies are extensively being used in developed countries, emerging economies are also not far behind. Disruptive Technologies in International Business advances the understanding of technological applications in business within an international paradigm. With its in-depth discussions of diverse topics such as the global value chain (GVC), environmental risk management, IoT, Surface Mobility, and anime, the book argues that technologies offer many advantages but there are accompanying risks, challenges, and disadvantages as well. The need of the hour is to address the impact of these technologies on the environment, society, and economy of the world. This book offers a collage of insights on how these technologies can potentially change the playing field in businesses and countries and contribute to the betterment of society. This book will provide business practitioners, international organizations, government officials, and policy makers with inspiration and new leads toward more efficient systems, policies, and operational frameworks in our increasingly technology-driven society.

This is an open access title available under the terms of a CC BY-NC-ND 4.0 International licence. It is free to read at Oxford Scholarship Online and offered as a free PDF download from OUP and selected open access locations. Innovation is a pivotal driving force behind economic growth. Technological capability deepens and diversifies industrial activity, which fundamentally enhances growth potential. Consequently, failure to build effective technological capability can lead to slow long-term economic growth. This book synthesizes and interprets existing knowledge on technology upgrading failures in order to better understand the challenges of technology upgrading in emerging economies. The objective is to bring together diverse evidence on three major dimensions of technology upgrading: paths of technology upgrading, structural changes in the nature of technology upgrading, and the issues of technology transfer and technology upgrading. Knowledge on these three dimensions is synthesized at the firm, sector, and macro levels across different countries and world macroregions. Compared to the challenges and uncertainties facing emerging economies, our understanding of technology upgrading is sparse, unsystematic, and scattered. The recent growth slowdown in many emerging economies, often known as the middle-income trap, has reinforced the importance of understanding the technology upgrading challenges they experience. While our understanding of these issues from the 1980s and 1990s is relatively more systematised, the more recent changes that took place during the globalization and proliferation of global value chains, and the effects of the 2008 financial crisis, have not been explored and compared synthetically. The current effects of COVID-19, geopolitical struggles, and the growing concern around environmental sustainability add significant complexity to an already problematic situation. The time is ripe to take stock of our existing knowledge on processes of technology upgrading in emerging economies and make further inroads in research on this crucial issue.

Companies in developing countries are adopting Artificial Intelligence applications to increase efficiency and open new markets for their products. This book explores the multifarious capabilities and applications of AI in the context of these emerging economies and its role as a driver for decision making in current management practices. Artificial Intelligence Enabled Management argues that the economic problems facing academics, professionals, managers, governments, businesses and those at the bottom of the economic pyramid have a technical solution that relates to AI. Businesses in developing countries are using cutting-edge AI-based solutions to improve autonomous delivery of goods and services, implement automation of production and develop mobile apps for services and access to credit. By integrating data from websites, social media and conventional channels, companies are developing data management platforms, good business plans and creative business models. By increasing productivity, automating business processes, financial solutions and government services, AI can drive economic growth in these emerging economies. Public and private sectors can work together to find innovative solutions that simultaneously alleviate poverty and inequality and increase economic mobility and prosperity. The thought-provoking contributions in this book also bring attention to new barriers that have emerged in the acceptance, use, integration and deployment of AI by businesses in developing countries and explore the often-overlooked drawbacks of AI adoption that can hinder or even cause value loss. The book is a must-read for policymakers, researchers, and anyone interested in understanding the critical role of AI in the emerging economy perspective.