Technological Applications And Advancements In Service Science Management And Engineering

Services play a central role in the economies of nations and in global commerce, and to some extent we are all in the field of service. Technological Applications and Advancements in Service Science, Management, and Engineering is a compendium of research that proves to be an indispensable resource for cutting-edge knowledge in service science understood as a broad research field that embodies all the aspects that relate to services, their planning, design, operation, evaluation, and improvement. Perfect for academic researchers and practicing professionals, this volume serves as a vehicle for the development of service science and how good services are devised and engineered to get the maximum value for their efforts.

As financial systems migrate to a pervasive, online environment, business leaders and layman investors alike must adapt to changes in the market brought about by this new age of business. Strategic E-Commerce Systems and Tools for Competing in the Digital Marketplace advances the body of knowledge on electronic business and commerce with an in-depth look at the opportunities and concerns surrounding online business and finance. This cutting-edge reference aids business leaders, financial managers, investors, and consumers looking to build their portfolios and thrive in modern digital business environments.

Papers in this unique volume were developed from the 2006 conference hosted by IBM, Service Science, Management, and Engineering (SSME) — Education for the 21st Century. The book incorporates a variety of perspectives, informed by an international background in SSME experience and education, including management, business, social science, computer science and engineering. Readers will derive an understanding of education needs and program offerings in SSME.

Many factors can impact large-scale enterprise management systems, and maintaining these systems can be a complicated and challenging process. Therefore, businesses can benefit from an assortment of models and management styles to track and collect data for processes. Enterprise Business Modeling, Optimization Techniques, and Flexible Information Systems supplies a wide array of research on the intersections of business modeling, information systems, and optimization techniques. These various business models and structuring methods are proposed to provide ideas, methods, and points of view for managers, practitioners, entrepreneurs, and researchers on how to improve business processes.

Many techniques have been developed to control the variety of dynamic systems. To develop those control techniques, it is fundamental to know the mathematical relations between the system inputs and outputs. Incorporating Nature-Inspired Paradigms in Computational Applications is a critical scholarly resource that examines the application of nature-inspired paradigms on system identification. Featuring coverage on a broad range of topics such as biogeographic computation, evolutionary control systems, and natural computing, this book is geared towards IT professionals, engineers, computer scientists, academicians, researchers, and graduate-level students seeking current research on the application of nature-inspired paradigms.

Road accidents caused by impaired and distracted driving as well as traffic congestion are on the rise, with the numbers increasing dramatically every day. Intelligent transportation systems (ITS) aim to improve the efficiency and safety of traveling by consolidating vehicle operations, managing vehicle traffic, and notifying drivers with alerts and safety messages in real time. Vehicular Cloud Computing for Traffic Management and Systems provides innovative research on the rapidly advancing applications of vehicle-to-vehicle and vehicle-to-infrastructure communication. It also covers the need to fully utilize vehicular ad-hoc network (VANET) resources to provide updated and dynamic information about the conditions of road traffic so that the number of road accidents can be minimized. Featuring research on topics such as identity management, computational architecture, and resource management, this book is ideally designed for urban planners, researchers, policy makers, graduate-level students, transportation engineers, and technology developers seeking current research on vehicle computational design, architecture, security, and privacy.

Patterns can be any number of items that occur repeatedly, whether in the behaviour of animals, humans, traffic, or even in the appearance of a design. As technologies continue to advance, recognizing, mimicking, and responding to all types of patterns becomes more precise. Pattern Recognition and Classification in Time Series Data focuses on intelligent methods and techniques for recognizing and storing dynamic patterns. Emphasizing topics related to artificial intelligence, pattern management, and algorithm development, in addition to practical examples and applications, this publication is an essential reference source for graduate students, researchers, and professionals in a variety of computer-related disciplines.