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The latest advances in technology development have been particularly useful to actor-network theory as a structure for much of its research. With a socio-technical approach to the understanding of information systems and applications, the actor-network theory aims to bring support for social influence on technological innovations. Social and Professional Applications of Actor-Network Theory for Technology Development presents a platform for the approaches and implementations on the actor-network theory and its relationship with technology development. This book provides researchers and practitioners with a better understanding of the usefulness of the social and technical connection.
Actor-Network Theory (ANT) has existed as a topic of interest among social theorists for decades. Due to the prevalence of technology in modern society, discussions over the influence of actor-network theory on the changing scope of technology can assist in facilitating further research and scientific thought. Technological Advancements and the Impact of Actor-Network Theory focuses on cross-disciplinary research as well as examples of the use of actor-network theory in a variety of fields, including medicine, education, business, engineering, environmental science, computer science, and social science. This timely publication is well-suited for reference use by academicians, researchers, upper-level students, and theorists.
Actor-Network Theory and Technology Innovation: Advancements and New Concepts provides a comprehensive look at the development of actor-network theory itself, as well as case studies of its use to assist in the explanation of various socio-technical phenomena. This book includes topics relating to technological innovation; both those using actor-network theory as an explanatory framework and those using other approaches. It is an excellent source of information regarding ANT as an approach to technological innovation and its link to ICT (Information Communication Technology).
It has been over twenty years since developments in actor-network theory were first written on paper. Since then, the Information and Communication Technologies (ICT) community has begun to discover the power of using actor-network theory as an explanatory framework for much of its research. This research community has come to an understanding that information systems are, of necessity, socio-technical in nature and require a socio-technical approach to their investigation. Thanks to developments in actor-network theory, researchers can now approach people and technology as one single entity that gives support to social influences on technological innovations. Social Influences on Information and Communication Technology Innovations discusses in great detail the use of actor-network theory in offering explanations for socio-technical phenomena, focusing greatly on information communication technologies. Implementation and use of information and communication technologies inevitably involves the interactions of both technology and people. This publication facilitates international growth in the body of research investigating the value of using actor-network theory as a means of understanding socio-technical phenomena and technological innovation.
This book provides empirically driven discussions and investigations in the relevance of Actor Network Theory (ANT) and its theoretical concepts. As our civilization evolves from a human to a technologically driven society, new socio-technical network of actors – in society, industry and government are emerging by the day. These networks of actors collaborate to produce contemporary goods and services; handle production processes; manage risks; develop social and commercial networks; develop policies; manage complexities; and create a new way of life. This book provides unique conceptual tools needed to analyze such processes, highlighting the effectiveness of ANT in fostering collaborations between governments, organizations and society.
Actor-network theory (ANT) has enjoyed wide uptake in the social sciences in the past three decades, particularly in science and technology studies, and is increasingly attracting the attention of educational researchers. Across these diverse environments and uptakes, the authors trace how learning and practice - as assemblages of activity, actors and spaces - emerge, show what scales are at play, and demonstrate what this means for educational possibilities.
Uniquely reflects an engineering view to social systems in a wide variety of contexts of application Social Systems Engineering: The Design of Complexity brings together a wide variety of application approaches to social systems from an engineering viewpoint. The book defines a social system as any complex system formed by human beings. Focus is given to the importance of systems intervention design for specific and singular settings, the possibilities of engineering thinking and methods, the use of computational models in particular contexts, and the development of portfolios of solutions. Furthermore, this book considers both technical, human and social perspectives, which are crucial to solving complex problems. Social Systems Engineering: The Design of Complexity provides modelling examples to explore the design aspect of social systems. Various applications are explored in a variety of areas, such as urban systems, health care systems, socio-economic systems, and environmental systems. It covers important topics such as organizational design, modelling and intervention in socio-economic systems, participatory and/or community-based modelling, application of systems engineering tools to social problems, applications of computational behavioral modeling, computational modelling and management of complexity, and more. Highlights an engineering view to social systems (as opposed to a “scientific” view) that stresses the importance of systems intervention design for specific and singular settings Divulges works where the design, re-design, and transformation of social systems constitute the main aim, and where joint considerations of both technical and social perspectives are deemed important in solving social problems Features an array of applied cases that illustrate the application of social systems engineering in different domains Social Systems Engineering: The Design of Complexity is an excellent text for academics and graduate students in engineering and social science—specifically, economists, political scientists, anthropologists, and management scientists with an interest in finding systematic ways to intervene and improve social systems.
Data has increased due to the growing use of web applications and communication devices. It is necessary to develop new techniques of managing data in order to ensure adequate usage. Modern Technologies for Big Data Classification and Clustering is an essential reference source for the latest scholarly research on handling large data sets with conventional data mining and provide information about the new technologies developed for the management of large data. Featuring coverage on a broad range of topics such as text and web data analytics, risk analysis, and opinion mining, this publication is ideally designed for professionals, researchers, and students seeking current research on various concepts of big data analytics.
The growing presence of smart phones and smart devices has caused significant changes to wireless networks. With the ubiquity of these technologies, there is now increasingly more available data for mobile operators to utilize. Big Data Applications in the Telecommunications Industry is a comprehensive reference source for the latest scholarly material on the use of data analytics to study wireless networks and examines how these techniques can increase reliability and profitability, as well as network performance and connectivity. Featuring extensive coverage on relevant topics, such as accessibility, traffic data, and customer satisfaction, this publication is ideally designed for engineers, students, professionals, academics, and researchers seeking innovative perspectives on data science and wireless network communications.