Technology has vastly advanced over the years and created new developments and uses across various industries. By applying these new approaches in the business world, process management and organization can be significantly improved. Maximizing Business Performance and Efficiency Through Intelligent Systems is an essential reference publication for the latest research on methods to use artificial intelligence in organizational settings. Featuring coverage on a broad range of topics such as information retrieval, fuzzy systems, and neural networks, this book is ideally designed for students, professionals, and researchers seeking research on emerging advances in business technology applications.

Analytical tools and algorithms are essential in business data and information systems. Efficient economic and financial forecasting in machine learning techniques increases gains while reducing risks. Providing research on predictive models with high accuracy, stability, and ease of interpretation is important in improving data preparation, analysis, and implementation processes in business organizations. Machine Learning Techniques for Improved Business Analytics is a collection of innovative research on the methods and applications of artificial intelligence in strategic business decisions and management. Featuring coverage on a broad range of topics such as data mining, portfolio optimization, and social network analysis, this book is ideally designed for business managers and practitioners, upper-level business students, and researchers seeking current research on large-scale information control and evaluation technologies that exceed the functionality of conventional data processing techniques.

In the digital age, consumers have morphed from passive receivers of marketing messages to active suppliers of information about product through various digital media, creating a need for businesses to effectively manage a more diverse and creative range of consumers. Managing Diversity, Innovation, and Infrastructure in Digital Business is a collection of innovative research on new avenues in overall digital infrastructures, digital modern business infrastructures, business automation, and financial aspects of modern businesses. Featuring research on topics such as electronic word-of-mouth strategies, social media marketing, and digital communication, this book is ideally designed for business professionals, managers, and undergraduate and postgraduate business students seeking current research on business in the digital environment.

International business strategies orbit around the idea of strengthening partnerships with other countries. Developing new and innovative opportunities to connect neighboring countries bodes well for those countries and the entire world. The Belt and Road Strategy intends to do just that by strengthening partnerships and constructing a comprehensive and multilevel interconnected network to achieve pluralistic, independent, balanced, and sustainable development. The Belt and Road Strategy in International Business and Administration is a vital collection of information that discusses one of most important programs embodying economic, regional, and political demands in the Asian and European environment. Featuring research on topics such as business development, business law, and multinational enterprise, this book is ideally designed for government officials, professionals, researchers, students, and professors seeking coverage on the theoretical and practical contributions of international business.

Productivity remains the critical determinant of long-term national growth and prosperity. The effects of today’s globalism on productivity demands the need for business organizations to sustain their competitive advantage and remain profitable over time. Foreign Business in China and Opportunities for Technological Innovation and Sustainable Economics is a collection of research used to demonstrate state-of-the art approaches of international business and innovation management that shows how new, advanced, international business models and adoptive strategies can expand the sustainability frontiers. This publication serves as a leading reference source on Chinese business, technology, economy, and innovation, and facilitates necessary skills needed to engage with business in or with China. While highlighting topics including e-commerce, foreign trade, and global business, individuals such as students, educators, international business experts, and innovation experts can expand their technical knowledge in the global economy.

To strategically plan the future of a business, it is necessary to thoroughly understand the business and its position in the marketplace. This knowledge must be gathered through a comprehensive analysis of the organization, its suppliers, and customers. It is critical to review the tools and techniques that are available to develop a complete picture of the strength and value of a company and its internal interactions and relationships, together with the surrounding environment of competition and other factors that will enable planners to reliably assess the possibilities for the strategic direction for the organization. Insufficient attention is currently being given in business studies to achieve critical, useful information for the strategic development of an organization. Critical Analysis and Architecture for Strategic Business Planning seeks to fill current gaps in business and operations research by highlighting the need for greater focus on the research and analysis required to obtain the right kind of information pertaining to the effective business development of an organization. This publication examines the literature for best practices for business research and analysis, which would lead to obtaining the most advantageous information for guiding business and organizations. Covering topics such as business planning, information systems, and competitive advantage, it is an essential resource for managers, business leaders, business strategists, consultants, students and educators of higher education, researchers, and academicians.

In the face of a world overwhelmed by environmental challenges, the need for sustainability has reached a critical juncture. This multidimensional concept demands a delicate equilibrium between environmental preservation, economic viability, and social equity. Navigating this intricate terrain necessitates innovative solutions that bridge the present and the future. The urgency is palpable as we grapple with the repercussions of unsustainable practices. Intelligent Methods and Alternative Economic Models for Sustainability emerges as the definitive solution to this urgent problem. By synergizing intelligent methods and alternative economic models, the book provides a cohesive framework to address the multifaceted challenges of sustainability. It delves into the transformative power of metaheuristics, big data, and the Internet of Things (IoT) in optimizing complex systems while advocating for circular economic models that minimize waste and maximize resource efficiency. The book transcends theoretical discourse, offering real-world insights into successful sustainability initiatives. This comprehensive approach caters not only to researchers in computer sciences, economics, and sustainability but also empowers policymakers with actionable strategies and engages the broader public, fostering awareness and understanding of sustainability issues that impact us all.