Integrating Ai In Iot Analytics On The Cloud For Healthcare Applications

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Integrating AI in IoT Analytics on the Cloud for Healthcare Applications

Author : Jeya Mala, D.
Publisher : IGI Global
ISBN 13 : 1799891348
Total Pages : 312 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Integrating AI in IoT Analytics on the Cloud for Healthcare Applications by : Jeya Mala, D.

Download or read book Integrating AI in IoT Analytics on the Cloud for Healthcare Applications written by Jeya Mala, D. and published by IGI Global. This book was released on 2022-01-07 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Internet of things (IoT) applications employed for healthcare generate a huge amount of data that needs to be analyzed to produce the expected reports. To accomplish this task, a cloud-based analytical solution is ideal in order to generate faster reports in comparison to the traditional way. Given the current state of the world in which every day IoT devices are developed to provide healthcare solutions, it is essential to consider the mechanisms used to collect and analyze the data to provide thorough reports. Integrating AI in IoT Analytics on the Cloud for Healthcare Applications applies artificial intelligence (AI) in edge analytics for healthcare applications, analyzes the impact of tools and techniques in edge analytics for healthcare, and discusses security solutions for edge analytics in healthcare IoT. Covering topics such as data analytics and next generation healthcare systems, it is ideal for researchers, academicians, technologists, IT specialists, data scientists, healthcare industries, IoT developers, data security analysts, educators, and students.

The Fusion of Internet of Things, Artificial Intelligence, and Cloud Computing in Health Care

Author : Patrick Siarry
Publisher : Springer Nature
ISBN 13 : 3030752208
Total Pages : 270 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis The Fusion of Internet of Things, Artificial Intelligence, and Cloud Computing in Health Care by : Patrick Siarry

Download or read book The Fusion of Internet of Things, Artificial Intelligence, and Cloud Computing in Health Care written by Patrick Siarry and published by Springer Nature. This book was released on 2021-08-11 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews the convergence technologies like cloud computing, artificial intelligence (AI) and Internet of Things (IoT) in healthcare and how they can help all stakeholders in the healthcare sector. The book is a proficient guide on the relationship between AI, IoT and healthcare and gives examples into how IoT is changing all aspects of the healthcare industry. Topics include remote patient monitoring, the telemedicine ecosystem, pattern imaging analytics using AI, disease identification and diagnosis using AI, robotic surgery, prediction of epidemic outbreaks, and more. The contributors include applications and case studies across all areas of computational intelligence in healthcare data. The authors also include workflow in IoT-enabled healthcare technologies and explore privacy and security issues in healthcare-based IoT.

Integrating Artificial Intelligence and IoT for Advanced Health Informatics

Author : Carmela Comito
Publisher : Springer Nature
ISBN 13 : 3030911810
Total Pages : 188 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Integrating Artificial Intelligence and IoT for Advanced Health Informatics by : Carmela Comito

Download or read book Integrating Artificial Intelligence and IoT for Advanced Health Informatics written by Carmela Comito and published by Springer Nature. This book was released on 2022-02-10 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book covers the integration of Internet of Things (IoT) and Artificial Intelligence (AI) to tackle applications in smart healthcare. The authors discuss efficient means to collect, monitor, control, optimize, model, and predict healthcare data using AI and IoT. The book presents the many advantages and improvements in the smart healthcare field, in which ubiquitous computing and traditional computational methods alone are often inadequate. AI techniques are presented that play a crucial role in dealing with large amounts of heterogeneous, multi-scale and multi-modal data coming from IoT infrastructures. The book is intended to cover how the fusion of IoT and AI allows the design of models, methodologies, algorithms, evaluation benchmarks, and tools can address challenging problems related to health informatics, healthcare, and wellbeing.

Hybrid Artificial Intelligence and IoT in Healthcare

Author : Akash Kumar Bhoi
Publisher : Springer Nature
ISBN 13 : 9811629722
Total Pages : 328 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Hybrid Artificial Intelligence and IoT in Healthcare by : Akash Kumar Bhoi

Download or read book Hybrid Artificial Intelligence and IoT in Healthcare written by Akash Kumar Bhoi and published by Springer Nature. This book was released on 2021-07-22 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers applications for hybrid artificial intelligence (AI) and Internet of Things (IoT) for integrated approach and problem solving in the areas of radiology, drug interactions, creation of new drugs, imaging, electronic health records, disease diagnosis, telehealth, and mobility-related problems in healthcare. The book discusses the convergence of AI and the hybrid approaches in healthcare which optimizes the possible solutions and better treatment. Internet of Things (IoT) in healthcare is the next-gen technologies which automate the healthcare facility by mobility solutions are discussed in detail. It also discusses hybrid AI with bio-inspired techniques, genetic algorithm, neuro-fuzzy algorithms, and soft computing approaches which significantly improves the prediction of critical cardiovascular abnormalities and other healthcare solutions to the ongoing challenging research.

Integration of Cloud Computing with Internet of Things

Author : Monika Mangla
Publisher : John Wiley & Sons
ISBN 13 : 1119769302
Total Pages : 384 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Integration of Cloud Computing with Internet of Things by : Monika Mangla

Download or read book Integration of Cloud Computing with Internet of Things written by Monika Mangla and published by John Wiley & Sons. This book was released on 2021-03-08 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book aims to integrate the aspects of IoT, Cloud computing and data analytics from diversified perspectives. The book also plans to discuss the recent research trends and advanced topics in the field which will be of interest to academicians and researchers working in this area. Thus, the book intends to help its readers to understand and explore the spectrum of applications of IoT, cloud computing and data analytics. Here, it is also worth mentioning that the book is believed to draw attention on the applications of said technology in various disciplines in order to obtain enhanced understanding of the readers. Also, this book focuses on the researches and challenges in the domain of IoT, Cloud computing and Data analytics from perspectives of various stakeholders.

Intelligent Internet of Things for Healthcare and Industry

Author : Uttam Ghosh
Publisher : Springer Nature
ISBN 13 : 3030814734
Total Pages : 388 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Intelligent Internet of Things for Healthcare and Industry by : Uttam Ghosh

Download or read book Intelligent Internet of Things for Healthcare and Industry written by Uttam Ghosh and published by Springer Nature. This book was released on 2022 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of machine learning-based data analytics of IoT infrastructures. This book is focused on the emerging trends, strategies, and applications of IoT in both healthcare and industry data analytics perspectives. The data analytics discussed are relevant for healthcare and industry to meet many technical challenges and issues that need to be addressed to realize this potential. The IoT discussed helps to design and develop the intelligent medical and industry solutions assisted by data analytics and machine learning. At the end of every chapter readers are encouraged to check their understanding by means of brainstorming summary, discussion, exercises and solutions. Focused on the emerging trends, strategies, and applications of IoT in both healthcare and industry data analytics perspectives; Promotes an exchange of research across disciplines on the design and investigation of machine learning-based data analytics of IoT infrastructures; Features case studies emphasizing social and research perspectives on cyber-physical systems, data analytics, intelligence and security.

Smart Healthcare Analytics: State of the Art

Author : Prasant Kumar Pattnaik
Publisher : Springer Nature
ISBN 13 : 9811653046
Total Pages : 228 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Smart Healthcare Analytics: State of the Art by : Prasant Kumar Pattnaik

Download or read book Smart Healthcare Analytics: State of the Art written by Prasant Kumar Pattnaik and published by Springer Nature. This book was released on 2021-09-30 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book helps researchers and practitioners to understand e-health, m-healthcare architecture through IoT and the state of the art in IoT counter measures. This book provides a comprehensive discussion on a functional framework for IoT-based healthcare systems, intelligent medicine box, RFID technology, HMI, cognitive interpretation, BCI, remote health monitoring systems, wearable sensors, WBAN, healthcare analytics, machine learning (ML) techniques for IoT-enabled healthcare services, security and privacy issues in IoT-based healthcare monitoring systems. The book discusses integration of IoT with big data and cloud computing for solving several real-time problems by the use of smart healthcare applications. In these applications, the cloud computing provides a common workplace for IoT and big data, big data provides data analytics technology and IoT provides the source of data. It serves as a reference resource for researchers and practitioners in academia and industry.

AIoT and Big Data Analytics for Smart Healthcare Applications

Author : Shreyas Suresh Rao, Steven Lawrence Fernandes, Chandra Singh, Rathishchandra R. Gatti, Harisha A., Rohanchandra R. Gatty
Publisher : Bentham Science Publishers
ISBN 13 : 9815196065
Total Pages : 317 pages
Book Rating : 4.8/5 (151 download)

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Book Synopsis AIoT and Big Data Analytics for Smart Healthcare Applications by : Shreyas Suresh Rao, Steven Lawrence Fernandes, Chandra Singh, Rathishchandra R. Gatti, Harisha A., Rohanchandra R. Gatty

Download or read book AIoT and Big Data Analytics for Smart Healthcare Applications written by Shreyas Suresh Rao, Steven Lawrence Fernandes, Chandra Singh, Rathishchandra R. Gatti, Harisha A., Rohanchandra R. Gatty and published by Bentham Science Publishers. This book was released on 2023-12-26 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: AIoT (Artificial Intelligence of Things) and Big Data Analytics are catalyzing a healthcare revolution. This book is an accessible volume that summarizes the information available. In this book, researchers explore how AIoT and Big Data can seamlessly integrate into healthcare, enhancing medical services and devices while adhering to established protocols. The book demonstrates the crucial role of these technologies during healthcare crises like the COVID-19 pandemic. It presents novel solutions and computational techniques powered by AIoT, Machine Learning, and Deep Learning, providing a new frontier in healthcare problem-solving. Key Features: Real-Life Illustrations: Real-world examples showcase AIoT and Big Data in action, highlighting their impact in healthcare. Comprehensive Exploration: The book offers a thorough examination of AIoT, Big Data, and their harmonious synergy within the healthcare landscape. Visual Aids: Complex concepts become approachable through diagrams, flowcharts, and infographics, making technical processes and system designs more digestible. Ethical Insights: Delving into the ethical dimensions of AIoT and Big Data, it addresses concerns like data bias, patient consent, and transparency in healthcare. Forward-Looking Discourse: The book engages with emerging trends, potential innovations, and the future direction of AIoT and Big Data, making it a compass for healthcare transformation. Researchers, whether from academia, industry, or research and development organizations, interested in AIoT, Big Data, artificial intelligence, and healthcare optimization, will find this book informative. It also serves as an update for tech enthusiasts who want to explore the future of healthcare powered by AI and data.

AI and IoT-Based Technologies for Precision Medicine

Author : Khang, Alex
Publisher : IGI Global
ISBN 13 :
Total Pages : 585 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis AI and IoT-Based Technologies for Precision Medicine by : Khang, Alex

Download or read book AI and IoT-Based Technologies for Precision Medicine written by Khang, Alex and published by IGI Global. This book was released on 2023-10-18 with total page 585 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the post-COVID-19 healthcare landscape, the demand for smart healthcare solutions and precision medicine systems has grown significantly. To address these challenges, the book AI and IoT-Based Technologies for Precision Medicine provides a comprehensive resource for doctors, researchers, engineers, and students. By leveraging AI and IoT technologies, the book equips healthcare professionals with advanced tools and methodologies for predictive disease analysis, informed decision-making, and other aspects of precision medicine. This resource bridges the gap between theory and practice, exploring concepts like machine learning, deep learning, computer vision, AI-integrated applications, IoT-based technologies, healthcare data analytics, and biotechnology applications. Through this, the book empowers healthcare practitioners to pioneer innovative solutions that enhance efficiency, accuracy, and security in medical practices. AI and IoT-Based Technologies for Precision Medicine not only offer insights into the potential of AI-powered applications and IoT-equipped techniques in smart healthcare but also foster collaboration among healthcare scholars and professionals. This authoritative guide encourages knowledge sharing and collaboration to harness the transformative potential of AI and IoT, leading to revolutionary advancements in medical practices and healthcare services. With this book as a guide, readers can navigate the evolving landscape of high-tech medicine, taking confident steps toward a cutting-edge and precise medical ecosystem.

Machine Learning for Critical Internet of Medical Things

Author : Fadi Al-Turjman
Publisher : Springer Nature
ISBN 13 : 3030809285
Total Pages : 267 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Machine Learning for Critical Internet of Medical Things by : Fadi Al-Turjman

Download or read book Machine Learning for Critical Internet of Medical Things written by Fadi Al-Turjman and published by Springer Nature. This book was released on 2022-02-03 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the applications, challenges, and future trends of machine learning in medical domain, including both basic and advanced topics. The book presents how machine learning is helpful in smooth conduction of administrative processes in hospitals, in treating infectious diseases, and in personalized medical treatments. The authors show how machine learning can also help make fast and more accurate disease diagnoses, easily identify patients, help in new types of therapies or treatments, model small-molecule drugs in pharmaceutical sector, and help with innovations via integrated technologies such as artificial intelligence as well as deep learning. The authors show how machine learning also improves the physician’s and doctor’s medical capabilities to better diagnosis their patients. This book illustrates advanced, innovative techniques, frameworks, concepts, and methodologies of machine learning that will enhance the efficiency and effectiveness of the healthcare system. Provides researchers in machine and deep learning with a conceptual understanding of various methodologies of implementing the technologies in medical areas; Discusses the role machine learning and IoT play into locating different virus and diseases across the globe, such as COVID-19, Ebola, and cervical cancer; Includes fundamentals and advances in machine learning in the medical field, supported by significant case studies and practical applications.

The Role of AI in Enhancing IoT-Cloud Applications

Author : Ambika Nagaraj
Publisher : Bentham Science Publishers
ISBN 13 : 9815165712
Total Pages : 205 pages
Book Rating : 4.8/5 (151 download)

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Book Synopsis The Role of AI in Enhancing IoT-Cloud Applications by : Ambika Nagaraj

Download or read book The Role of AI in Enhancing IoT-Cloud Applications written by Ambika Nagaraj and published by Bentham Science Publishers. This book was released on 2023-10-04 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the dynamic intersection of three cutting-edge technologies—Artificial Intelligence (AI), Internet of Things (IoT), and Cloud Computing—and their profound impact on diverse domains. Beginning with an introduction to AI and its challenges, it delves into IoT applications in fields like transportation, industry 4.0, healthcare, and agriculture. The subsequent chapter explores AI in the cloud, covering areas such as banking, e-commerce, smart cities, healthcare, and robotics. Another section investigates the integration of AI and IoT-Cloud, discussing applications like smart meters, smart cities, smart agriculture, smart healthcare, and smart industry. Challenges like data privacy and security are examined, and the future direction of these technologies, including fog computing and quantum computing, is explored. The book concludes with use cases that highlight the real-world applications of these transformative technologies across various sectors. Each chapter is also supplemented with a list of scholarly references for advanced readers. The book is intended primarily as a resource for students in information technology and technology courses. And as a secondary resource for industry professionals who want to learn about these technologies in the context of digital transform

Next-Generation Cybersecurity

Author : Keshav Kaushik
Publisher : Springer Nature
ISBN 13 : 9819712491
Total Pages : 473 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Next-Generation Cybersecurity by : Keshav Kaushik

Download or read book Next-Generation Cybersecurity written by Keshav Kaushik and published by Springer Nature. This book was released on with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt:

New Approaches to Data Analytics and Internet of Things Through Digital Twin

Author : Karthikeyan, P.
Publisher : IGI Global
ISBN 13 : 1668457245
Total Pages : 326 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis New Approaches to Data Analytics and Internet of Things Through Digital Twin by : Karthikeyan, P.

Download or read book New Approaches to Data Analytics and Internet of Things Through Digital Twin written by Karthikeyan, P. and published by IGI Global. This book was released on 2022-09-30 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: Even though many data analytics tools have been developed in the past years, their usage in the field of cyber twin warrants new approaches that consider various aspects including unified data representation, zero-day attack detection, data sharing across threat detection systems, real-time analysis, sampling, dimensionality reduction, resource-constrained data processing, and time series analysis for anomaly detection. Further study is required to fully understand the opportunities, benefits, and difficulties of data analytics and the internet of things in today’s modern world. New Approaches to Data Analytics and Internet of Things Through Digital Twin considers how data analytics and the internet of things can be used successfully within the field of digital twin as well as the potential future directions of these technologies. Covering key topics such as edge networks, deep learning, intelligent data analytics, and knowledge discovery, this reference work is ideal for computer scientists, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.

Recent Innovations in Artificial Intelligence and Smart Applications

Author : Mostafa Al-Emran
Publisher : Springer Nature
ISBN 13 : 3031147480
Total Pages : 387 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Recent Innovations in Artificial Intelligence and Smart Applications by : Mostafa Al-Emran

Download or read book Recent Innovations in Artificial Intelligence and Smart Applications written by Mostafa Al-Emran and published by Springer Nature. This book was released on 2022-10-01 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book tackles the recent research trends on the role of AI in advancing automotive manufacturing, augmented reality, sustainable development in smart cities, telemedicine, and robotics. It sheds light on the recent AI innovations in classical machine learning, deep learning, Internet of Things (IoT), Blockchain, knowledge representation, knowledge management, big data, and natural language processing (NLP). The edited book covers empirical and reviews studies that primarily concentrate on the aforementioned issues, which would assist scholars in pursuing future research in the domain and identifying the possible future developments of AI applications.

AI and IoT Technology and Applications for Smart Healthcare Systems

Author : Alex Khang
Publisher : CRC Press
ISBN 13 : 1040021794
Total Pages : 422 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis AI and IoT Technology and Applications for Smart Healthcare Systems by : Alex Khang

Download or read book AI and IoT Technology and Applications for Smart Healthcare Systems written by Alex Khang and published by CRC Press. This book was released on 2024-05-15 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, the application of Artificial Intelligence (AI) and Internet of Things (IoT) technologies in smart healthcare has been increasing. We are approaching a world where connected smart devices tell people when they need to visit a doctor because these devices will be able to detect health problems and discover symptoms of illness that may need medical care. AI-collaborative IoT technologies can help medical professionals with decision-making. These technologies can also help develop a sustainable and smart healthcare system. AI and IoT Technology and Applications for Smart Healthcare Systems helps readers understand complex scientific topics in a simple and accessible way. It introduces the world of AI-collaborative IoT physics, explaining how this technology behaves at the smallest level and how this can revolutionize healthcare. The book shows how IoT technology and AI can work together to make computers more powerful and capable of solving complex problems in the healthcare sector. Exploring the effect of AI-collaborative technology on IoT technologies, the book discusses how IoT can benefit from AI algorithms to enable machines to learn, make decisions, and process information more efficiently. Because smart machines create more perceptive devices and systems, the application of this technology raises important ethical questions about privacy, security, and the responsible development of healthcare IoT technology, which this book covers. The book also provides insight into the potential applications of these technologies not only in the healthcare industry but also in related fields, such as smart transportation, smart manufacturing, and smart cities.

6G-Enabled IoT and AI for Smart Healthcare

Author : Ashish Kumar
Publisher : CRC Press
ISBN 13 : 100089584X
Total Pages : 331 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis 6G-Enabled IoT and AI for Smart Healthcare by : Ashish Kumar

Download or read book 6G-Enabled IoT and AI for Smart Healthcare written by Ashish Kumar and published by CRC Press. This book was released on 2023-06-21 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today’s era, there is a need for a system that can automate the process of treatment for the patient if medical facilities are out of reach. Smart healthcare can step in to make the patient more self-dependent. 6G with its features can be seen as the future of smart healthcare with IoT and AI. 6G-Enabled IoT and AI for Smart Healthcare: Challenges, Impact, and Analysis offers the fundamentals, history, reality, and challenges faced in the smart healthcare industry today. It discusses the concepts, tools, and techniques of smart healthcare as well as the analysis used. The book details the role that machine learning-based deep learning and 6G-enabled IoT concepts play in the automation of smart healthcare systems. The book goes on to presents applications of smart healthcare through various real-world examples and includes chapters on security and privacy in the 6G-enabled and IoT environment, as well as research on the future prospects of the smart healthcare industry. This book: Offers the fundamentals, history, reality, and the challenges faced in the smart healthcare industry Discusses the concepts, tools, and techniques of smart healthcare as well as the analysis used Details the role that machine learning-based deep learning and 6G-enabled IoT concepts play in the automation of smart healthcare systems Presents applications of smart healthcare through various real-world examples Includes topics on security and privacy in 6G-enabled IoT, as well as research and future prospectus of the smart healthcare industry Interested readers of this book will include anyone working in or involved in smart healthcare research which includes, but is not limited to healthcare specialists, computer science engineers, electronics engineers, systems engineers, and pharmaceutical practitioners.

Global Perspectives on Social Media Usage Within Governments

Author : Chavadi, Chandan
Publisher : IGI Global
ISBN 13 : 1668474514
Total Pages : 384 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Global Perspectives on Social Media Usage Within Governments by : Chavadi, Chandan

Download or read book Global Perspectives on Social Media Usage Within Governments written by Chavadi, Chandan and published by IGI Global. This book was released on 2023-08-29 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social media applications have emerged in the last 20 years to meet the different needs of individuals, and private sector and public organizations have not been indifferent to these technologies. Social media tools help public institutions and organizations communicate directly with citizens as well as enable two-way communication and enable citizens to participate in all stages from agenda setting to evaluation of policy processes. Central and local governments, which use innovative methods to involve citizens in this process, attach significance to the development of e-participation tools. Ensuring the participation of citizens in policy processes not only determines the wishes and priorities of citizens but also uses scarce resources effectively and efficiently. Global Perspectives on Social Media Usage Within Governments reveals the best practices of various countries regarding the use of social media by central and local governments according to public administration models. The book presents various case studies on the impact of public administration models on social media use in order to contribute to public administration and social media use. Covering topics such as climate action, knowledge behaviors, and citizen participation, this premier reference source is an essential resource for government officials, public administrators, public policy scholars, social media experts, public affairs scholars, students and educators of higher education, librarians, researchers, and academicians.