Digital technologies maintain an important tool in todays business economy. As the economy continues to change, businesses seek out solutions in order to enhance and develop their organization. Business Innovation, Development, and Advancement in the Digital Economy highlights the competitive advantages on the emerging digital economy. Bringing together the classic economy theory and the developments of new technology, this book provides research on current innovations in the digital economy. It is vital resource for practitioners, researchers as well as graduate and undergraduate students.
As the use of remote work has recently skyrocketed, digital transformation within the workplace has gone under a microscope, and it has become abundantly clear that the incorporation of new technologies in the workplace is the future of business. These technologies keep businesses up to date with their capabilities to perform remote work and make processes more efficient and effective than ever before. In understanding digital transformation in the workplace there needs to be advanced research on technology, organizational change, and the impacts of remote work on the business, the employees, and day-to-day work practices. This advancement to a digital work culture and remote work is rapidly undergoing major advancements, and research is needed to keep up with both the positives and negatives to this transformation. The Research Anthology on Digital Transformation, Organizational Change, and the Impact of Remote Work contains hand-selected, previously published research that explores the impacts of remote work on business workplaces while also focusing on digital transformation for improving the efficiency of work. While highlighting work technologies, digital practices, business management, organizational change, and the effects of remote work on employees, this book is an all-encompassing research work intended for managers, business owners, IT specialists, executives, practitioners, stakeholders, researchers, academicians, and students interested in how digital transformation and remote work is affecting workplaces.
Addressing the big questions about how technological change is transforming economies and societies Rapid technological change—likely to accelerate as a consequence of the COVID-19 pandemic—is reshaping economies and how they grow. But change also causes disruption, creates winners and losers, and produces social stress. This book examines the challenges of digital transformation and suggests how creative policies can make it more productive and inclusive. Shifting Paradigms is the second book on technological change produced by a joint research project of the Brookings Institution and the Korea Development Institute. Contributors are experts from the United States, Europe, and Korea. The first volume, Growth in a Time of Change, was published by Brookings in February 2020. The book's underlying thesis is that the future is arriving faster than expected. Long-accepted paradigms about economic growth are changing as digital technologies transform markets and nearly every aspect of business and work. Change will only intensify with advances in artificial intelligence and other innovations. Investors, business leaders, workers, and public officials face many questions. Is rising market concentration inevitable with the new technologies or can their benefits be more widely shared? How can the promise of FinTech be captured while managing risks? Should workers fear the new automation? Are technology-driven shifts in business and work causing income inequality to rise? How should public policy respond? Shifting Paradigms addresses these questions in an engaging manner for anyone interested in understanding how the economic and social agenda is being transformed by today's winds of change.
There is a small and growing literature that explores the impact of digitization in a variety of contexts, but its economic consequences, surprisingly, remain poorly understood. This volume aims to set the agenda for research in the economics of digitization, with each chapter identifying a promising area of research. "Economics of Digitization "identifies urgent topics with research already underway that warrant further exploration from economists. In addition to the growing importance of digitization itself, digital technologies have some features that suggest that many well-studied economic models may not apply and, indeed, so many aspects of the digital economy throw normal economics in a loop. "Economics of Digitization" will be one of the first to focus on the economic implications of digitization and to bring together leading scholars in the economics of digitization to explore emerging research.
Technological advances in the realm of business have attributed to the global interest of using digital innovations to increase consumer traffic. Utilizing these new techniques can increase the profitability of business industries and consumer analytic information for future reference. The Handbook of Research on Digital Marketing Innovations in Social Entrepreneurship and Solidarity Economics is a collection of research on social entrepreneurship as a critical element of economic growth with a look at the evolutionary aspects of digital technologies on the industry. While highlighting topics including social media, microfinance, and consumer behavior, this book is ideally designed for marketers, managers, professionals, academics, and graduate-level students concerned about the fields of economics, sociology, education, politics, and digital technology innovation.
Recent global shifts in population have led to the fast urbanization of Africa. For Africa and the developing world, choosing the right policy strategies, processes, and tools are essential to turning urban centers into engines of industry and economic prosperity. Industrial and Urban Growth Policies at the Sub-National, National, and Global Levels is a pivotal reference source that examines current and evolving conditions of industrial and urban policies and their relationships around the world, especially between developed and developing economies. While highlighting topics such as the Fourth Industrial Revolution, urban policy, and global common good, this publication seeks to deepen and broaden the understanding of transformation in industrial development and responses to emerging urbanization processes. This book is ideally designed for industrial planners, entrepreneurs, urban development authorities, policymakers, academicians, researchers, and students.
As technology continues to evolve in organizations, it is vital to understand the impact that these advances will have on different aspects of the business environment as well as the opportunity for further improvement. Effects of IT on Enterprise Architecture, Governance, and Growth explores the influence of emerging technology on different viewpoints associated with contemporary enterprise. Emphasizing an interdisciplinary approach to the comprehension of organizational structure and dynamics, this book is an inclusive reference source for enterprise analysts, business managers, and IT managers, as well as upper-level students interested in a new framework for understanding business enterprise in the new digital era.
The expansion of digital data has transformed various sectors of business such as healthcare, industrial manufacturing, and transportation. A new way of solving business problems has emerged through the use of machine learning techniques in conjunction with big data analytics. Deep Learning Innovations and Their Convergence With Big Data is a pivotal reference for the latest scholarly research on upcoming trends in data analytics and potential technologies that will facilitate insight in various domains of science, industry, business, and consumer applications. Featuring extensive coverage on a broad range of topics and perspectives such as deep neural network, domain adaptation modeling, and threat detection, this book is ideally designed for researchers, professionals, and students seeking current research on the latest trends in the field of deep learning techniques in big data analytics.
