Author: P. Ramos
Publisher: Palgrave Macmillan
ISBN: 9780230320161
Category : Computers
Languages : en
Pages : 192
Book Description
There is a tendency for companies to follow a traditional model and structure without giving much thought to whether this really suits their needs. In today's knowledge economy, managers must re-evaluate company structures to allow for more efficient and reactive organisations, and also make the most of crucial networking opportunities.
Network Models for Organizations
Author: P. Ramos
Publisher: Palgrave Macmillan
ISBN: 9780230320161
Category : Computers
Languages : en
Pages : 192
Book Description
There is a tendency for companies to follow a traditional model and structure without giving much thought to whether this really suits their needs. In today's knowledge economy, managers must re-evaluate company structures to allow for more efficient and reactive organisations, and also make the most of crucial networking opportunities.
Publisher: Palgrave Macmillan
ISBN: 9780230320161
Category : Computers
Languages : en
Pages : 192
Book Description
There is a tendency for companies to follow a traditional model and structure without giving much thought to whether this really suits their needs. In today's knowledge economy, managers must re-evaluate company structures to allow for more efficient and reactive organisations, and also make the most of crucial networking opportunities.
The Network Imperative
Author: Barry Libert
Publisher: Harvard Business Review Press
ISBN: 163369206X
Category : Business & Economics
Languages : en
Pages : 247
Book Description
Pivot your organization toward a more scalable and profitable business model. Digital networks are changing all the rules of business. New, scalable, digitally networked business models, like those of Amazon, Google, Uber, and Airbnb, are affecting growth, scale, and profit potential for companies in every industry. But this seismic shift isn’t unique to digital start-ups and tech superstars. Digital transformation is affecting every business sector, and as investor capital, top talent, and customers shift toward network-centric organizations, the performance gap between early and late adopters is widening. So the question isn’t whether your organization needs to change, but when and how much. The Network Imperative is a call to action for managers and executives to embrace network-based business models. The benefits are indisputable: companies that leverage digital platforms to co-create and share value with networks of employees, customers, and suppliers are fast outpacing the market. These companies, or network orchestrators, grow faster, scale with lower marginal cost, and generate the highest revenue multipliers. Supported by research that covers fifteen hundred companies, authors Barry Libert, Megan Beck, and Jerry Wind guide leaders and investors through the ten principles that all organizations can use to grow and profit regardless of their industry. They also share a five-step process for pivoting an organization toward a more scalable and profitable business model. The Network Imperative, brimming with compelling case studies and actionable advice, provides managers with what they really need: new tools and frameworks to generate unprecedented value in a rapidly changing age.
Publisher: Harvard Business Review Press
ISBN: 163369206X
Category : Business & Economics
Languages : en
Pages : 247
Book Description
Pivot your organization toward a more scalable and profitable business model. Digital networks are changing all the rules of business. New, scalable, digitally networked business models, like those of Amazon, Google, Uber, and Airbnb, are affecting growth, scale, and profit potential for companies in every industry. But this seismic shift isn’t unique to digital start-ups and tech superstars. Digital transformation is affecting every business sector, and as investor capital, top talent, and customers shift toward network-centric organizations, the performance gap between early and late adopters is widening. So the question isn’t whether your organization needs to change, but when and how much. The Network Imperative is a call to action for managers and executives to embrace network-based business models. The benefits are indisputable: companies that leverage digital platforms to co-create and share value with networks of employees, customers, and suppliers are fast outpacing the market. These companies, or network orchestrators, grow faster, scale with lower marginal cost, and generate the highest revenue multipliers. Supported by research that covers fifteen hundred companies, authors Barry Libert, Megan Beck, and Jerry Wind guide leaders and investors through the ten principles that all organizations can use to grow and profit regardless of their industry. They also share a five-step process for pivoting an organization toward a more scalable and profitable business model. The Network Imperative, brimming with compelling case studies and actionable advice, provides managers with what they really need: new tools and frameworks to generate unprecedented value in a rapidly changing age.
Network Models and Optimization
Author: Mitsuo Gen
Publisher: Springer Science & Business Media
ISBN: 1848001819
Category : Technology & Engineering
Languages : en
Pages : 692
Book Description
Network models are critical tools in business, management, science and industry. “Network Models and Optimization” presents an insightful, comprehensive, and up-to-date treatment of multiple objective genetic algorithms to network optimization problems in many disciplines, such as engineering, computer science, operations research, transportation, telecommunication, and manufacturing. The book extensively covers algorithms and applications, including shortest path problems, minimum cost flow problems, maximum flow problems, minimum spanning tree problems, traveling salesman and postman problems, location-allocation problems, project scheduling problems, multistage-based scheduling problems, logistics network problems, communication network problem, and network models in assembly line balancing problems, and airline fleet assignment problems. The book can be used both as a student textbook and as a professional reference for practitioners who use network optimization methods to model and solve problems.
Publisher: Springer Science & Business Media
ISBN: 1848001819
Category : Technology & Engineering
Languages : en
Pages : 692
Book Description
Network models are critical tools in business, management, science and industry. “Network Models and Optimization” presents an insightful, comprehensive, and up-to-date treatment of multiple objective genetic algorithms to network optimization problems in many disciplines, such as engineering, computer science, operations research, transportation, telecommunication, and manufacturing. The book extensively covers algorithms and applications, including shortest path problems, minimum cost flow problems, maximum flow problems, minimum spanning tree problems, traveling salesman and postman problems, location-allocation problems, project scheduling problems, multistage-based scheduling problems, logistics network problems, communication network problem, and network models in assembly line balancing problems, and airline fleet assignment problems. The book can be used both as a student textbook and as a professional reference for practitioners who use network optimization methods to model and solve problems.
Packet Guide to Core Network Protocols
Author: Bruce Hartpence
Publisher: "O'Reilly Media, Inc."
ISBN: 1449313248
Category : Computers
Languages : en
Pages : 161
Book Description
Take an in-depth tour of core Internet protocols and learn how they work together to move data packets from one network to another. With this updated edition, you’ll dive into the aspects of each protocol, including operation basics and security risks, and learn the function of network hardware such as switches and routers. New chapters examine the transmission control protocol (TCP) and user datagram protocol in detail. Ideal for beginning network engineers, each chapter in this book includes a set of review questions, as well as practical, hands-on lab exercises. You’ll explore topics including: Basic network architecture: how protocols and functions fit together The structure and operation of the Ethernet protocol TCP/IP protocol fields, operations, and addressing used for networks The address resolution process in a typical IPv4 network Switches, access points, routers, and components that process packets TCP details, including packet content and client-server packet flow How the Internet Control Message Protocol provides error messages during network operations How network mask (subnetting) helps determine the network The operation, structure, and common uses of the user datagram protocol
Publisher: "O'Reilly Media, Inc."
ISBN: 1449313248
Category : Computers
Languages : en
Pages : 161
Book Description
Take an in-depth tour of core Internet protocols and learn how they work together to move data packets from one network to another. With this updated edition, you’ll dive into the aspects of each protocol, including operation basics and security risks, and learn the function of network hardware such as switches and routers. New chapters examine the transmission control protocol (TCP) and user datagram protocol in detail. Ideal for beginning network engineers, each chapter in this book includes a set of review questions, as well as practical, hands-on lab exercises. You’ll explore topics including: Basic network architecture: how protocols and functions fit together The structure and operation of the Ethernet protocol TCP/IP protocol fields, operations, and addressing used for networks The address resolution process in a typical IPv4 network Switches, access points, routers, and components that process packets TCP details, including packet content and client-server packet flow How the Internet Control Message Protocol provides error messages during network operations How network mask (subnetting) helps determine the network The operation, structure, and common uses of the user datagram protocol
A Neural Network Model of Lexical Organisation
Author: Michael Fortescue
Publisher: A&C Black
ISBN: 1441195289
Category : Language Arts & Disciplines
Languages : en
Pages : 402
Book Description
This is an engaging study of the mental lexicon: the way in which the form and meaning of words is stored by speakers of specific languages. Fortescue attempts to narrow the gap between the results of experimental neurology and the concerns of theoretical linguistics in the area of lexical semantics. The prime goal as regards linguistic theory is to show how matters of lexical organization can be analysed and discussed within a neurologically informed framework that is both adaptable and constrained. It combines the perspectives of distributed network modelling and linguistic semantics, and draws upon the accruing evidence from neuroimaging studies as regards the cortical regions involved. It engages with a number of controversial current issues in both disciplines. This text is intended as a tool for linguists interested in psychological adequacy and the latest advances in Cognitive Science. It provides a principled means of distinguishing those semantic features required by a mental lexicon that have a direct bearing on grammar from those that do not. A Neural Network Model of Lexical Organisation is essential reading for researchers in neurolinguistics and lexical semantics.
Publisher: A&C Black
ISBN: 1441195289
Category : Language Arts & Disciplines
Languages : en
Pages : 402
Book Description
This is an engaging study of the mental lexicon: the way in which the form and meaning of words is stored by speakers of specific languages. Fortescue attempts to narrow the gap between the results of experimental neurology and the concerns of theoretical linguistics in the area of lexical semantics. The prime goal as regards linguistic theory is to show how matters of lexical organization can be analysed and discussed within a neurologically informed framework that is both adaptable and constrained. It combines the perspectives of distributed network modelling and linguistic semantics, and draws upon the accruing evidence from neuroimaging studies as regards the cortical regions involved. It engages with a number of controversial current issues in both disciplines. This text is intended as a tool for linguists interested in psychological adequacy and the latest advances in Cognitive Science. It provides a principled means of distinguishing those semantic features required by a mental lexicon that have a direct bearing on grammar from those that do not. A Neural Network Model of Lexical Organisation is essential reading for researchers in neurolinguistics and lexical semantics.
Fundamentals of Brain Network Analysis
Author: Alex Fornito
Publisher: Academic Press
ISBN: 0124081185
Category : Medical
Languages : en
Pages : 496
Book Description
Fundamentals of Brain Network Analysis is a comprehensive and accessible introduction to methods for unraveling the extraordinary complexity of neuronal connectivity. From the perspective of graph theory and network science, this book introduces, motivates and explains techniques for modeling brain networks as graphs of nodes connected by edges, and covers a diverse array of measures for quantifying their topological and spatial organization. It builds intuition for key concepts and methods by illustrating how they can be practically applied in diverse areas of neuroscience, ranging from the analysis of synaptic networks in the nematode worm to the characterization of large-scale human brain networks constructed with magnetic resonance imaging. This text is ideally suited to neuroscientists wanting to develop expertise in the rapidly developing field of neural connectomics, and to physical and computational scientists wanting to understand how these quantitative methods can be used to understand brain organization. - Winner of the 2017 PROSE Award in Biomedicine & Neuroscience and the 2017 British Medical Association (BMA) Award in Neurology - Extensively illustrated throughout by graphical representations of key mathematical concepts and their practical applications to analyses of nervous systems - Comprehensively covers graph theoretical analyses of structural and functional brain networks, from microscopic to macroscopic scales, using examples based on a wide variety of experimental methods in neuroscience - Designed to inform and empower scientists at all levels of experience, and from any specialist background, wanting to use modern methods of network science to understand the organization of the brain
Publisher: Academic Press
ISBN: 0124081185
Category : Medical
Languages : en
Pages : 496
Book Description
Fundamentals of Brain Network Analysis is a comprehensive and accessible introduction to methods for unraveling the extraordinary complexity of neuronal connectivity. From the perspective of graph theory and network science, this book introduces, motivates and explains techniques for modeling brain networks as graphs of nodes connected by edges, and covers a diverse array of measures for quantifying their topological and spatial organization. It builds intuition for key concepts and methods by illustrating how they can be practically applied in diverse areas of neuroscience, ranging from the analysis of synaptic networks in the nematode worm to the characterization of large-scale human brain networks constructed with magnetic resonance imaging. This text is ideally suited to neuroscientists wanting to develop expertise in the rapidly developing field of neural connectomics, and to physical and computational scientists wanting to understand how these quantitative methods can be used to understand brain organization. - Winner of the 2017 PROSE Award in Biomedicine & Neuroscience and the 2017 British Medical Association (BMA) Award in Neurology - Extensively illustrated throughout by graphical representations of key mathematical concepts and their practical applications to analyses of nervous systems - Comprehensively covers graph theoretical analyses of structural and functional brain networks, from microscopic to macroscopic scales, using examples based on a wide variety of experimental methods in neuroscience - Designed to inform and empower scientists at all levels of experience, and from any specialist background, wanting to use modern methods of network science to understand the organization of the brain
Connecting Networks Companion Guide
Author: Cisco Networking Academy
Publisher: Pearson Education
ISBN: 1587133326
Category : Computers
Languages : en
Pages : 569
Book Description
"This course discusses the WAN technologies and network services required by converged applications in a complex network. The course allows you to understand the selection criteria of network devices and WAN technologies to meet network requirements. You will learn how to configure and troubleshoot network devices and resolve common issues with data link protocols. You will also develop the knowledge and skills needed to implement IPSec and virtual private network (VPN) operations in a complex network."--Back cover.
Publisher: Pearson Education
ISBN: 1587133326
Category : Computers
Languages : en
Pages : 569
Book Description
"This course discusses the WAN technologies and network services required by converged applications in a complex network. The course allows you to understand the selection criteria of network devices and WAN technologies to meet network requirements. You will learn how to configure and troubleshoot network devices and resolve common issues with data link protocols. You will also develop the knowledge and skills needed to implement IPSec and virtual private network (VPN) operations in a complex network."--Back cover.
Network-Oriented Modeling
Author: Jan Treur
Publisher: Springer
ISBN: 3319452134
Category : Science
Languages : en
Pages : 501
Book Description
This book presents a new approach that can be applied to complex, integrated individual and social human processes. It provides an alternative means of addressing complexity, better suited for its purpose than and effectively complementing traditional strategies involving isolation and separation assumptions. Network-oriented modeling allows high-level cognitive, affective and social models in the form of (cyclic) graphs to be constructed, which can be automatically transformed into executable simulation models. The modeling format used makes it easy to take into account theories and findings about complex cognitive and social processes, which often involve dynamics based on interrelating cycles. Accordingly, it makes it possible to address complex phenomena such as the integration of emotions within cognitive processes of all kinds, of internal simulations of the mental processes of others, and of social phenomena such as shared understandings and collective actions. A variety of sample models – including those for ownership of actions, fear and dreaming, the integration of emotions in joint decision-making based on empathic understanding, and evolving social networks – illustrate the potential of the approach. Dedicated software is available to support building models in a conceptual or graphical manner, transforming them into an executable format and performing simulation experiments. The majority of the material presented has been used and positively evaluated by undergraduate and graduate students and researchers in the cognitive, social and AI domains. Given its detailed coverage, the book is ideally suited as an introduction for graduate and undergraduate students in many different multidisciplinary fields involving cognitive, affective, social, biological, and neuroscience domains.
Publisher: Springer
ISBN: 3319452134
Category : Science
Languages : en
Pages : 501
Book Description
This book presents a new approach that can be applied to complex, integrated individual and social human processes. It provides an alternative means of addressing complexity, better suited for its purpose than and effectively complementing traditional strategies involving isolation and separation assumptions. Network-oriented modeling allows high-level cognitive, affective and social models in the form of (cyclic) graphs to be constructed, which can be automatically transformed into executable simulation models. The modeling format used makes it easy to take into account theories and findings about complex cognitive and social processes, which often involve dynamics based on interrelating cycles. Accordingly, it makes it possible to address complex phenomena such as the integration of emotions within cognitive processes of all kinds, of internal simulations of the mental processes of others, and of social phenomena such as shared understandings and collective actions. A variety of sample models – including those for ownership of actions, fear and dreaming, the integration of emotions in joint decision-making based on empathic understanding, and evolving social networks – illustrate the potential of the approach. Dedicated software is available to support building models in a conceptual or graphical manner, transforming them into an executable format and performing simulation experiments. The majority of the material presented has been used and positively evaluated by undergraduate and graduate students and researchers in the cognitive, social and AI domains. Given its detailed coverage, the book is ideally suited as an introduction for graduate and undergraduate students in many different multidisciplinary fields involving cognitive, affective, social, biological, and neuroscience domains.
Theories of Communication Networks
Author: Peter R. Monge
Publisher: Oxford University Press
ISBN: 019803637X
Category : Business & Economics
Languages : en
Pages : 431
Book Description
To date, most network research contains one or more of five major problems. First, it tends to be atheoretical, ignoring the various social theories that contain network implications. Second, it explores single levels of analysis rather than the multiple levels out of which most networks are comprised. Third, network analysis has employed very little the insights from contemporary complex systems analysis and computer simulations. Foruth, it typically uses descriptive rather than inferential statistics, thus robbing it of the ability to make claims about the larger universe of networks. Finally, almost all the research is static and cross-sectional rather than dynamic. Theories of Communication Networks presents solutions to all five problems. The authors develop a multitheoretical model that relates different social science theories with different network properties. This model is multilevel, providing a network decomposition that applies the various social theories to all network levels: individuals, dyads, triples, groups, and the entire network. The book then establishes a model from the perspective of complex adaptive systems and demonstrates how to use Blanche, an agent-based network computer simulation environment, to generate and test network theories and hypotheses. It presents recent developments in network statistical analysis, the p* family, which provides a basis for valid multilevel statistical inferences regarding networks. Finally, it shows how to relate communication networks to other networks, thus providing the basis in conjunction with computer simulations to study the emergence of dynamic organizational networks.
Publisher: Oxford University Press
ISBN: 019803637X
Category : Business & Economics
Languages : en
Pages : 431
Book Description
To date, most network research contains one or more of five major problems. First, it tends to be atheoretical, ignoring the various social theories that contain network implications. Second, it explores single levels of analysis rather than the multiple levels out of which most networks are comprised. Third, network analysis has employed very little the insights from contemporary complex systems analysis and computer simulations. Foruth, it typically uses descriptive rather than inferential statistics, thus robbing it of the ability to make claims about the larger universe of networks. Finally, almost all the research is static and cross-sectional rather than dynamic. Theories of Communication Networks presents solutions to all five problems. The authors develop a multitheoretical model that relates different social science theories with different network properties. This model is multilevel, providing a network decomposition that applies the various social theories to all network levels: individuals, dyads, triples, groups, and the entire network. The book then establishes a model from the perspective of complex adaptive systems and demonstrates how to use Blanche, an agent-based network computer simulation environment, to generate and test network theories and hypotheses. It presents recent developments in network statistical analysis, the p* family, which provides a basis for valid multilevel statistical inferences regarding networks. Finally, it shows how to relate communication networks to other networks, thus providing the basis in conjunction with computer simulations to study the emergence of dynamic organizational networks.
New Directions for Organization Theory
Author: Jeffrey Pfeffer
Publisher: Oxford University Press, USA
ISBN: 0195114345
Category : Non-governmental organizations
Languages : en
Pages : 273
Book Description
Pfeffer argues that the world of organizations has changed in several important ways, including the increasing externalization of employment and the growing use of contingent workers; the changing size distribution of organizations, with a larger proportion of smaller organizations; the increasing influence of external capital markets on organizational decision-making and a concomitant decrease in managerial autonomy; and increasing salary inequality within organizations in the US compared both to the past and to other industrialized nations. These changes and their public policy implications make it especially important to understand organizations as social entities. But Pfeffer questions whether the research literature of organization studies has either addressed these changes and their causes or made much of a contribution to the discussion of public policy.
Publisher: Oxford University Press, USA
ISBN: 0195114345
Category : Non-governmental organizations
Languages : en
Pages : 273
Book Description
Pfeffer argues that the world of organizations has changed in several important ways, including the increasing externalization of employment and the growing use of contingent workers; the changing size distribution of organizations, with a larger proportion of smaller organizations; the increasing influence of external capital markets on organizational decision-making and a concomitant decrease in managerial autonomy; and increasing salary inequality within organizations in the US compared both to the past and to other industrialized nations. These changes and their public policy implications make it especially important to understand organizations as social entities. But Pfeffer questions whether the research literature of organization studies has either addressed these changes and their causes or made much of a contribution to the discussion of public policy.