Fausto Pedro García Márquez - Internet of Things: Cases and Studies

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Internet of Things (IoT) is a relatively new discipline, an emerging research field which utilizes tools and techniques taken from operations research and management science (OR/MS). IoT is a network of devices connected and capable of transferring information over the network. Devices on the network can include machine, equipment, human, animal, parking lot, or anything. It can transfer text, signals, media, and software. This book introduces the topic and its origin. It starts with basic concepts and present cases, applications, theory, and potential benefits as seen from OR/MS point of view, for example, advanced analytics and machine learning. Examples are from smart industry, city, transportation, home, and smart devices. The future applications, trends, and potential benefits of this new discipline are discussed. The book provides an interface among OR/MS, engineering/technology, organization and administration, and IoT. It is yet to be seen how OR/MS will influence the development, direction, and shape of IoT. The future of IoT is bright and strong. It will stay with us for decades, will be part of our daily life, will be almost everywhere, and will be extremely useful.

Internet of Things (IoT) is a relatively new discipline, an emerging research field that requires the use and application of management science. This book introduces the topic and its origin. It starts with basic concepts and overview and then presents cases, applications, theories, and potentials. The chapters in this book cover a wide array of topics as space permits. Examples are smart industry, city, transportation, home, and smart devices. It also discusses future applications, trends, and potential of this new discipline.

IoT is a network of devices connected and capable of transferring information over the network. The network can be a group of machines, equipment, human, animal, parking lot, and so on. It could transfer text, signals, media, and software. To build and manage IoT, new disciplines in management science have emerged such as advanced analytics and machine learning. Specifically, this book provides an interface between the main disciplines of engineering/technology and the organizational, administrative, and planning capabilities of managing IoT.

This book provides relevant theoretical frameworks and the latest empirical research findings in IoT. It has been written for professionals to show their understanding of the strategic role of IoT at various levels of the information and knowledge organization, that is, IoT at the global economy level, at networks and organizations, at teams and work groups of information systems, and, finally, at the level of individuals as players in the networked environments.

This book is intended for professionals in the field of engineering, information science, mathematics, economists, and researchers who wish to develop new skills in IoT, or who employ the IoT discipline as part of their work. The authors who contributed to this book describe their original work in the area or provide material for cases and studies successfully applying the IoT discipline in real-life cases and theoretical approaches.

Blockchain is a new technology resulting from a continuous research on consensus mechanisms to ensure the integrity of a distributed shared replica. It represents a data structure built on a hash function and distributed among the various participants according to previously agreed consensus rules. Chapter aims to carry out a comprehensive survey of the consensus mechanism that forms the heart of blockchain technology and its suitability for the IoT. It begins by explaining blockchain technology from a historical and technical point of view before approaching the different philosophical approaches within the consensus mechanism, their disadvantage, and their suitability for the IoT sector.

IoT implementation depends, to a large extent, on human and technological resources availability and cultural aspects and priorities of organizations. According to their state, the different factors can be enablers or inhibitors of IoT implementation. Since IoT implementation is a case of digitalization, main elements of digitalization and most typical enablers and inhibitors are presented in Chap.. Based on scientific and professional literature, the specific enablers and inhibitors of IoT are presented. They involve technological enablers (ability to provide power to the devices, connectivity, communication capability between elements, and data handling capacity), strategic enablers (IoT adoption as a strategic element, formulation of a global architecture of IoT), organizational enablers (digital talent and skills and digital culture), organizational barriers (need for standardization, security risks, privacy restrictions, cost, and regulatory issues), and cultural barriers (perception of complexity and lack of trust)