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.

"This book supplies a wide array of research on the intersections of business modeling, information systems, and optimization techniques, offering various business models and structuring methods"...Provided by publisher.

The small business is an often underestimated asset of both the modern economy and the commercial workforce. Those employed by small businesses make up a large percentage of both the U.S. and Canadian populations, and with the internet and other technologies connecting us like never before, the opportunity is present for even the smallest company to reach a global scale. Strategic Utilization of Information Systems in Small Business explores the possibilities not just in expanding a business, but in assisting a business in meeting its full potential, no matter its size. Including a variety of perspectives on what it means to be a small business and how to bring that business to maturity, this book is an essential reference source for small business owners, managers, and employees, as well as students, researchers, and aspiring entrepreneurs. This publication features chapters on the different aspects of management processes, e-commerce, and e-businesses, including the characteristics of a smart entrepreneur, success vs. failure, longevity, technology adoption, the types of different information systems and how to implement them, data and decision making, theories for investigating small businesses, business strategy, and competitive advantage.

Companies across different industries are launching technology-enabled (digital) business transformation programs to improve their strategic, tactical, and operational supply chain processes. The greatest challenges that they are facing include the lack of preparation and knowledge of the digital transformation life cycle and poorly addressing or neglecting the “people-related” aspects of them. Therefore, improvement initiatives have been short-lived or incomplete, and expected business benefits have not been achieved or materialized. Technology Optimization and Change Management for Successful Digital Supply Chains is a pivotal reference source that provides vital research on the application of digital business transformation programs to improve strategic, tactical, and operational supply chain processes. While highlighting topics such as maturity models, predictive analysis, and communication planning, this publication explores the limited literature in the field of digital supply chain optimization and business transformation, and complements it with practical and proven tactics from the industry. This book is ideally designed for program managers, engineers, students, and practitioners seeking current research on the field’s latest best practices on digital supply chain enablement.

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.

"This book examines related research in decision, management, and other behavioral sciences in order to exchange and collaborate on information among business, industry, and government, providing innovative theories and practices in operations research"--Provided by publisher.

"This book offers insights into issues, challenges, and solutions related to the successful application and management aspects of electronic business, providing a comprehensive framework for researchers and practitioners in understanding the growing demand of e-business research"--Provided by publisher.

In the age of corporate responsibility, green technology and sustainability continue to grip the consciousness of businesses. However, the development of appropriate business-driven green computing applications requires an awareness of the best practices of the green agenda. Green Computing Strategies for Competitive Advantage and Business Sustainability provides emerging research on maintaining an eco-friendly environment regarding cloud computing and promoting reusability. While highlighting competitive advantages, power consumption, and project evaluation, readers will learn about various techniques for reducing energy consumption in cloud performance and information technology systems. This book is a vital resource for academics, researchers, students, professionals, and managers interested in novel trends in green computing applications and technology.

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.

It is clear that the digital age has fully embraced music production, distribution, and transcendence for a vivid audience that demands more music both in quantity and versatility. However, the evolving world of digital music production faces a calamity of tremendous proportions: the asymmetrically increasing online piracy that devastates radio stations, media channels, producers, composers, and artists, severely threatening the music industry. Digital Tools for Computer Music Production and Distribution presents research-based perspectives and solutions for integrating computational methods for music production, distribution, and access around the world, in addition to challenges facing the music industry in an age of digital access, content sharing, and crime. Highlighting the changing scope of the music industry and the role of the digital age in such transformations, this publication is an essential resource for computer programmers, sound engineers, language and speech experts, legal experts specializing in music piracy and rights management, researchers, and graduate-level students across disciplines.