Internet Of Behaviors Implementation In Organizational Contexts
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Internet of Behaviors Implementation in Organizational Contexts
Internet of behaviors (IoB), also known as the internet of behavior, emerged as a natural consequence of the internet of things (IoT) and artificial intelligence (AI). IoB is an area of investigation that compiles three fields of study: IoT, data analysis, and behavioral science. IoB seeks to explain the data obtained from a behavioral point of view, analyzing human interaction with technology and referring to the process by which user-controlled data is evaluated from a behavioral psychology perspective. Internet of Behaviors Implementation in Organizational Contexts explores internet of behaviors solutions that promote people's quality of life. This book explores and discusses, through innovative studies, case studies, systematic literature reviews, and reports. The content within this publication represents research encompassing the internet of behaviors, internet of things, big data, artificial intelligence, blockchain, smart cities, human-centric approach for digital technologies, ICT sustainability, and more. This vital reference source led by an editor with over two decades of experience is optimized for university professors, researchers, undergraduate and graduate level students, and business managers and professionals across several industries related to or utilizing the internet of things (IoT).
Internet of Behaviors Implementation in Organizational Contexts
Author: Luísa Cagica Carvalho
language: en
Publisher: Engineering Science Reference
Release Date: 2023-06-30
Internet of behaviors (IoB), also known as the internet of behavior, emerged as a natural consequence of the internet of things (IoT) and artificial intelligence (AI). IoB is an area of investigation that compiles three fields of study: IoT, data analysis, and behavioral science. IoB seeks to explain the data obtained from a behavioral point of view, analyzing human interaction with technology and referring to the process by which user-controlled data is evaluated from a behavioral psychology perspective. Internet of Behaviors Implementation in Organizational Contexts explores internet of behaviors solutions that promote people's quality of life. This book explores and discusses, through innovative studies, case studies, systematic literature reviews, and reports. The content within this publication represents research encompassing the internet of behaviors, internet of things, big data, artificial intelligence, blockchain, smart cities, human-centric approach for digital technologies, ICT sustainability, and more. This vital reference source led by an editor with over two decades of experience is optimized for university professors, researchers, undergraduate and graduate level students, and business managers and professionals across several industries related to or utilizing the internet of things (IoT).
Mapping Human Data and Behavior With the Internet of Behavior (IoB)
The Internet of Behavior (IoB) is reshaping industries by providing deeper insights into human actions, preferences, and decision-making patterns. By analyzing data from wearables, online interactions, and smart devices, IoB enables organizations to deliver highly personalized services, improve public health strategies, and optimize urban environments. This convergence of technology and behavioral science holds the potential to drive innovation across sectors, enhancing user experiences and operational efficiency. At the same time, the rapid growth of IoB raises important questions about data privacy, security, and ethical responsibility, highlighting the need for careful governance. As IoB continues to evolve, its impact on society will be profound, influencing everything from business practices to policy development. Mapping Human Data and Behavior With the Internet of Behavior (IoB) provides a comprehensive and practical resource to understanding, analyzing, and leveraging the IoB. It provides the knowledge and tools necessary to harness the transformative potential of IoB technologies while addressing the ethical and privacy considerations inherent in this field. Covering topics such as artificial intelligence (AI), neural networks, and performance evaluation, this book is an excellent resource for researchers, academicians, students, data scientists and analysts, IoT professionals, healthcare professionals, and more.