The Handbook of Research on Artificial Intelligence, Innovation and Entrepreneurship focuses on theories, policies, practices, and politics of technology innovation and entrepreneurship based on Artificial Intelligence (AI). It examines when, where, how, and why AI triggers, catalyzes, and accelerates the development, exploration, exploitation, and invention feeding into entrepreneurial actions that result in innovation success.
This path-breaking Handbook analyses the foundations, social desirability, institutions and geography of innovation and entrepreneurship. Leading researchers use their outstanding expertise to investigate various aspects in the context of innovation and entrepreneurship such as growth, knowledge production and spillovers, technology transfer, the organization of the firm, industrial policy, financing, small firms and start-ups, and entrepreneurship education as well as the characteristics of the entrepreneur. There is much in this Handbook that will prove to be informative and stimulating, especially for academics and post-graduate students in economics and management. Those starting a PhD in innovation or entrepreneurship will find this book essential reading.
The contemporary world lives on the data produced at an unprecedented speed through social networks and the internet of things (IoT). Data has been called the new global currency, and its rise is transforming entire industries, providing a wealth of opportunities. Applied data science research is necessary to derive useful information from big data for the effective and efficient utilization to solve real-world problems. A broad analytical set allied with strong business logic is fundamental in today’s corporations. Organizations work to obtain competitive advantage by analyzing the data produced within and outside their organizational limits to support their decision-making processes. This book aims to provide an overview of the concepts, tools, and techniques behind the fields of data science and artificial intelligence (AI) applied to business and industries. The Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry discusses all stages of data science to AI and their application to real problems across industries—from science and engineering to academia and commerce. This book brings together practice and science to build successful data solutions, showing how to uncover hidden patterns and leverage them to improve all aspects of business performance by making sense of data from both web and offline environments. Covering topics including applied AI, consumer behavior analytics, and machine learning, this text is essential for data scientists, IT specialists, managers, executives, software and computer engineers, researchers, practitioners, academicians, and students.
Connected customers, using a wide range of devices such as smart phones, tablets, and laptops have ushered in a new era of consumerism. Now more than ever, this change has prodded marketing departments to work with their various IT departments and technologists to expand consumers’ access to content. In order to remain competitive, marketers must integrate marketing campaigns across these different devices and become proficient in using technology. The Handbook of Research on Innovations in Technology and Marketing for the Connected Consumer is a pivotal reference source that develops new insights into applications of technology in marketing and explores effective ways to reach consumers through a wide range of devices. While highlighting topics such as cognitive computing, artificial intelligence, and virtual reality, this publication explores practices of technology-empowered digital marketing as well as the methods of applying practices to less developed countries. This book is ideally designed for marketers, managers, advertisers, branding teams, application developers, IT specialists, academicians, researchers, and students.
The digital economy is a driver of change, innovation, and competitiveness for international businesses and organizations. Because of this, it is important to highlight emergent and innovative aspects of marketing strategies and entrepreneurial approaches to overcome the challenges of the digital world. The Handbook of Research on Entrepreneurship and Marketing for Global Reach in the Digital Economy provides innovative insights into the key developments and new trends associated with online challenges and opportunities. The content within this publication represents research encompassing corporate social responsibility, economic policy, and female entrepreneurship, and it is a vital reference source for policymakers, managers, entrepreneurs, graduate-level business students, researchers, and academicians seeking coverage on topics centered on conceptual, technological, and design issues related to digital developments in the economy.
A multidimensional approach to entrepreneurship, especially in the post-COVID-19 era, will have an important influence on the state of business and government, especially when considering the effects of technological development, innovation, glocalization, and nationalization policies that need to be adopted for inclusive sustainable growth, as well as the enhanced and efficient utilization of global resources. That means there is likely to be a shift in how entrepreneurship development and entrepreneurial opportunities will be perceived, developed, and resourced. The question is how to sustain SMEs and entrepreneurial innovation in the post-COVID-19 era. Thus, comprehensive research and knowledge on designing policies and approaches to ensure the sustainability of SMEs and entrepreneurial innovation in post-pandemic times are essential to sustain, stimulate, and foster SMEs, entrepreneurship, and entrepreneurial innovations. The Handbook of Research on Sustaining SMEs and Entrepreneurial Innovation in the Post-COVID-19 Era provides research dedicated to entrepreneurship with a special emphasis on the sustainability of SMEs and entrepreneurial innovations in the post-COVID-19 era. It provides discussion and the exchange of information on principles, strategies, models, techniques, methodologies, and applications of entrepreneurship in the post-COVID-19 era in the field of public and private organizations. The chapters communicate the latest developments and thinking on the entrepreneurship subject worldwide by drawing on the latest developments, ideas, research, and best practice to examine the implications of the changes taking place due to COVID-19. This book is ideally intended for entrepreneurs, global organizations, small and medium-sized enterprises, managers, executives, government officials, policymakers, researchers, academicians, and students who are interested in learning about, designing, or implementing policies that are more effective in the post-pandemic era.
Artificial intelligence (AI) is influencing the future of almost every sector and human being. AI has been the primary driving force behind emerging technologies such as big data, blockchain, robots, and the internet of things (IoT), and it will continue to be a technological innovator for the foreseeable future. New algorithms in AI are changing business processes and deploying AI-based applications in various sectors. The Handbook of Research on AI and Knowledge Engineering for Real-Time Business Intelligence is a comprehensive reference that presents cases and best practices of AI and knowledge engineering applications on business intelligence. Covering topics such as deep learning methods, face recognition, and sentiment analysis, this major reference work is a dynamic resource for business leaders and executives, IT managers, AI scientists, students and educators of higher education, librarians, researchers, and academicians.
