Maximizing Business Performance And Efficiency Through Intelligent Systems

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.

The integration of recent technological advances into modern business processes has allowed for greater efficiency and productivity. However, while such improvements are immensely beneficial, the modeling and coordination of these activities offers a unique set of challenges that must be addressed. Automated Enterprise Systems for Maximizing Business Performance is a pivotal reference source for the latest scholarly research on the modeling and application of automated business systems. Featuring extensive coverage on a variety of topics relating to the design, implementation, and current developments of such systems, this book is an essential reference source for information system practitioners, business managers, and advanced-level students seeking the latest research on achievements in this field. This publication features timely, research-based chapters within the context of business systems including, but not limited to, enterprise security, mobile technology, and techniques for the development of system models.

Many fundamental technological and managerial issues surrounding the development and implementation of intelligent analytics within multi-industry applications remain unsolved. There are still questions surrounding the foundation of intelligent analytics, the elements, the big characteristics, and the effects on business, management, technology, and society. Research is devoted to answering these questions and understanding how intelligent analytics can improve healthcare, mobile commerce, web services, cloud services, blockchain, 5G development, digital transformation, and more. Intelligent Analytics With Advanced Multi-Industry Applications is a critical reference source that explores cutting-edge theories, technologies, and methodologies of intelligent analytics with multi-industry applications and emphasizes the integration of artificial intelligence, business intelligence, big data, and analytics from a perspective of computing, service, and management. This book also provides real-world applications of the proposed concept of intelligent analytics to e-SMACS (electronic, social, mobile, analytics, cloud, and service) commerce and services, healthcare, the internet of things, the sharing economy, cloud computing, blockchain, and Industry 4.0. This book is ideal for scientists, engineers, educators, university students, service and management professionals, policymakers, decision makers, practitioners, stakeholders, researchers, and others who have an interest in how intelligent analytics are being implemented and utilized in diverse industries.

This book covers both basic and high-level concepts relating to the intelligent computing paradigm and data sciences in the context of distributed computing, big data, data sciences, high-performance computing and Internet of Things. It is becoming increasingly important to develop adaptive, intelligent computing-centric, energy-aware, secure and privacy-aware systems in high-performance computing and IoT applications. In this context, the book serves as a useful guide for industry practitioners, and also offers beginners a comprehensive introduction to basic and advanced areas of intelligent computing. Further, it provides a platform for researchers, engineers, academics and industrial professionals around the globe to showcase their recent research concerning recent trends. Presenting novel ideas and stimulating interesting discussions, the book appeals to researchers and practitioners working in the field of information technology and computer science.

The integration of recent technological advances into modern business processes has allowed for greater efficiency and productivity. However, while such improvements are immensely beneficial, the modeling and coordination of these activities offers a unique set of challenges that must be addressed. Business Architectures for Risk Assessment and Strategic Planning: Emerging Research and Opportunities is a pivotal reference source for the latest research findings on the utilization of business models and value propositions in modern enterprises. Featuring extensive coverage on relevant areas such as management information systems, business planning, and value analysis, this publication is an ideal resource for information system practitioners, universities and colleges, business managers, and advanced-level students seeking the latest research on achievements in this field.

The field of information systems analysis and design includes numerous evolving modelling methods and notations. Even with some attempts to standardize, new modelling methods are constantly being introduced that significantly impact the way information systems are analyzed and designed in practice. Modeling Methods for Business Information Systems Analysis and Design is a collection of innovative research on the methods and applications of knowledge systems and their applications within organizational settings. While highlighting topics including finance, operational planning, and enterprise models, this book is ideally designed for academicians, professionals, and organizational researchers seeking current research on organizational design.

Continuous improvements in digitized practices have created opportunities for businesses to develop more streamlined processes. This not only leads to higher success in day-to-day production, but it increases the overall success of businesses. Always-On Enterprise Information Systems for Modern Organizations is a critical scholarly resource that examines how EIS implementations support business processes and facilitate this in today’s e-business environment. Featuring coverage on a broad range of topics such as customer relations management, supply chain management, and business intelligence, this book is geared towards professionals, researchers, managers, consultants, and university students interested in emerging developments for business process management.

With the importance of knowledge as the basis for economic development, the issue of Research & Development (R&D) as a source of knowledge and of innovation is under discussion. One of the major activities in support of economic development includes setting a network of national support R&D programs. Supporting Innovation Through National R&D Programs: Emerging Research and Opportunities is a critical scholarly resource that examines the basic rational for national support programs and the financial, legal, and strategic aspects that are involved. Featuring coverage on a broad range of topics such as origins of conflict, translational research, and competing trends, this book is geared towards professors, students, researchers, developers, and other industry experts.