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.

"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.

This book constitutes extended revised selected papers presented during the 8th Workshop of Human-Computer Interaction Aspects to the Social Web, WAIHCWS 2017, held in Joinville, Brazil, in October 2017, and during the 9th Workshop of Human-Computer Interaction Aspects to the Social Web, WAIHCWS 2018, held in Belém, Brazil, in October 2018. The 5 full papers presented were thoroughly reviewed and selected from 14 submissions for WAIHCWS 2017 and 3 full papers were selected for publication from 20 submissions for WAIHCWS 2018. The authors were given the opportunity to extend and revise the papers after the conference. The topics included in this volume cover the following fields connected to the social web: user experience, emotion analysis, interoperability, systems-of-information systems, knowledge-intensive processes, ontology, transportation domain, mobile systems, privacy policies, digital legacy, social networks, recommendation models, scientific events, accessible web, software ecosystems, and sustainability.

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.