"This book explores advancing technologies, specifically the internet of things, and their applications within library settings. Moreover, the book will provide insights and explore case studies on smart libraries"--

Over the years, new IT approaches have manifested, including digital transformation, cloud computing, and the internet of things (IoT). They have had a profound impact on the population, including libraries. Many organizations can save on their IT budget by adopting these new approaches because they provide technology in easier ways, often at lower costs and to the benefit of users. Emerging Trends and Impacts of the Internet of Things in Libraries is a critical research publication that explores advancing technologies, specifically the internet of things, and their applications within library settings. Moreover, the book will provide insights and explore case studies on smart libraries. Featuring a wide range of topics such as smart technology, automation, and robotics, this book is ideal for librarians, professionals, academicians, computer scientists, researchers, and students working in the fields of library science, information and communication sciences, and information technology.

With the perpetual advancements of technology, library and information science professionals are tasked with understanding these technologies and providing accurate and comprehensive information to other potential users. These professionals must develop best practices for understanding these technologies in order to best serve other users. The Handbook of Research on Emerging Trends and Technologies in Library and Information Science is a critical research book that examines advancing technologies and new innovations and their influences on library and information sciences for improved best practices. Featuring an array of topics such as digital libraries, distance education, and information literacy, this publication is essential for librarians, knowledge managers, information retrieval specialists, library and information science professionals, information scientists, researchers, web librarians, academicians, educators, IT specialists, and managers.

The internet of things (IoT) has emerged to address the need for connectivity and seamless integration with other devices as well as big data platforms for analytics. However, there are challenges that IoT-based applications face including design and implementation issues; connectivity problems; data gathering, storing, and analyzing in cloud-based environments; and IoT security and privacy issues. Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics is a critical reference source that provides theoretical frameworks and research findings on IoT and big data integration. Highlighting topics that include wearable sensors, machine learning, machine intelligence, and mobile computing, this book serves professionals who want to improve their understanding of the strategic role of trust at different levels of the information and knowledge society. It is therefore of most value to data scientists, computer scientists, data analysts, IT specialists, academicians, professionals, researchers, and students working in the field of information and knowledge management in various disciplines that include but are not limited to information and communication sciences, administrative sciences and management, education, sociology, computer science, etc. Moreover, the book provides insights and supports executives concerned with the management of expertise, knowledge, information, and organizational development in different types of work communities and environments.

While researchers have commonly used event studies in other research areas, the use in supply chain management research is limited—but growing. However, there remain several important research design considerations that must be accounted for over the process of planning, executing, and writing event studies. Because of this, many issues and sources of uncertainty emerge among students and early researchers. There is a need for a comprehensive guide to these common issues and how to address them, delving into the nuances and steps to take. Applied Guide for Event Study Research in Supply Chain Management supports graduate students and researchers to understand how to develop, execute, and publish event studies, specifically in the area of supply chain management, with valuable support for wider management studies. This book anticipates many reviewer and editorial concerns and questions and explores how to design a study that addresses issues before they arise, or how to tackle the issue during the review process. Covering topics such as alternative study designs, event study methods, and interpreting research results, this premier reference source is an indispensable resource for students and faculty of higher education, business executives and managers, librarians, government officials, researchers, and academicians.

In achieving civic engagement and social justice in smart cities, literacy programs are offered in the society by three essential information service providers: libraries, archives, and museums. Although the library and museum services are documented in literature, there is little evidence of community-led library or museum services that make a full circle in understanding community-library, community-archive, and community-museum relationships. The Handbook of Research on the Role of Libraries, Archives, and Museums in Achieving Civic Engagement and Social Justice in Smart Cities examines the application of tools and techniques in library and museum literacy in achieving civic engagement and social justice. It also introduces a new outlook in the services of libraries and museums. Covering topics such as countering fake news, human rights literacies, and outreach activities, this book is essential for community-based organizations, librarians, museum administrations, education leaders, information professionals, smart city design planners, digital tool developers, policymakers engaged in diversity, researchers, and academicians.

This book covers all the emerging trends in artificial intelligence (AI) and the Internet of Things (IoT). The Internet of Things is a term that has been introduced in recent years to define devices that are able to connect and transfer data to other devices via the Internet. While IoT and sensors have the ability to harness large volumes of data, AI can learn patterns in the data and quickly extract insights in order to automate tasks for a variety of business benefits. Machine learning, an AI technology, brings the ability to automatically identify patterns and detect anomalies in the data that smart sensors and devices generate, and it can have significant advantages over traditional business intelligence tools for analyzing IoT data, including being able to make operational predictions up to 20 times earlier and with greater accuracy than threshold-based monitoring systems. Further, other AI technologies, such as speech recognition and computer vision can help extract insights from data that used to require human review. The powerful combination of AI and IoT technology is helping to avoid unplanned downtime, increase operating efficiency, enable new products and services, and enhance risk management.