Interoperability is a topic of considerable interest for business entities, as the exchange and use of data is important to their success and sustainability. Electronic Business Interoperability: Concepts, Opportunities and Challenges analyzes obstacles, provides critical assessment of existing approaches, and reviews recent research efforts to overcome interoperability problems in electronic business. It serves as a source of knowledge for researchers, educators, students, and industry practitioners to share and exchange their most current research findings, ideas, practices, challenges, and opportunities concerning electronic business interoperability.

"This multi-volume reference examines critical issues and emerging trends in global business, with topics ranging from managing new information technology in global business operations to ethics and communication strategies"--Provided by publisher.

As businesses are continuously developing new services, procedures, and standards, electronic business has emerged into an important aspect of the science field by providing various applications through efficiently and rapidly processing information among business partners. Research and Development in E-Business through Service-Oriented Solutions highlights the main concepts of e-business as well as the advanced methods, technologies, and aspects that focus on technical support. This book is an essential reference source of professors, students, researchers, developers, and other industry experts in order to provide a vast amount of specialized knowledge sources for promoting e-business.

Following on from the continued success of the European Conference on Information Management and Evaluation, we are delighted at the Ted Rogers School of Management, Ryerson University to be able to host the 2nd International Conference on Information Management and Evaluation (ICIME 2011).ICIME aims to bring together individuals researching and working in the broad field of information management, including information technology evaluation. We hope that this year's conference will provide you with plenty of opportunities to share your expertise with colleagues from around the world.This year's opening keynote address will be delivered by Dr Catherine Middleton, Ted Rogers School of Information Technology Management, Ryerson University, Toronto, Canada.

"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.

Adaptability and sustainability are key factors in the success of any business in modern society. Developing unique and innovative processes in organizational environments provides room for new business opportunities. Integrating Art and Creativity into Business Practice is a key reference source for the latest scholarly research on the tools, techniques, and methods pivotal to the management of arts and creativity-based assets in contemporary organizations. Highlighting relevant perspectives across a myriad of topics, such as organizational culture, value creation, and crowdsourcing, this book is ideally designed for managers, professionals, academics, practitioners, and graduate students interested in emerging processes for entrepreneurship and business performance.

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.