Conferences related to ICT

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2014 IEEE Frontiers in Education Conference (FIE)

The Frontiers in Education (FIE)Conference is the major international conference about educational innovations and research in engineering and computing. FIE 2014 continues a long tradition of disseminating results in these areas. It is an ideal forum for sharing ideas; learning about developments in computer science, engineering, and technology education; and interacting with colleagues in these fields.

  • 2013 IEEE Frontiers in Education Conference (FIE)

    The Frontiers in Education (FIE)Conference is the major international conference about educational innovations and research in engineering and computing. FIE 2013 continues a long tradition of disseminating results in these areas. It is an ideal forum for sharing ideas; learning about developments in computer science, engineering, and technology education; and interacting with colleagues in these fields.

  • 2012 IEEE Frontiers in Education Conference (FIE)

    The Frontiers in Education (FIE)Conference is the major international conference about educational innovations and research in engineering and computing. FIE 2012 continues a long tradition of disseminating results in these areas. It is an ideal forum for sharing ideas; learning about developments in computer science, engineering, and technology education; and interacting with colleagues in these fields.

  • 2011 Frontiers in Education Conference (FIE)

    The Frontiers in Education (FIE) Conference is the major international conference about educational innovations and research in engineering and computing. FIE 2011 continues a long tradition of disseminating results in these areas. It is an ideal forum for sharing ideas; learning about developments in computer science, engineering, and technology education; and interacting with colleagues in these fields.

  • 2010 IEEE Frontiers in Education Conference (FIE)

    (FIE) Conference is a major international conference devoted to improvements in computer science, engineering, and technology (CSET) education. FIE 2008 continues a long tradition of disseminating educational research results and innovative practices in CSET education. It is an ideal forum for sharing ideas, learning about developments in CSET education, and interacting with colleagues.


2013 7th IEEE International Conference on Digital Ecosystems and Technologies (DEST) - Complex Environment Engineering

The essence of digital ecosystems is the adoption of ecological system concepts, and creating value by making connections through collective intelligence and promoting collaboration instead of unbridled competition and ICT-based catalyst effects in a number of domains, to produce networked enriched communities and solutions. IEEE DEST 2013 with its special theme of - Complex Environment Engineering recognizes the key role of business process data modeling, representation and privacy-aware analysis for Digital Ecosystems, and vice versa. Further, the Innovation Adoption Forum underpins the importance of public-private partnership as the key for delivering sustainable solutions for our Complex Living and Business Environment – and thus our Digital Ecosystem Habitat. Our Keynotes, Panels and Sessions will tackle the multifaceted challenges and solutions from various stakeholders’ perspectives.

  • 2012 6th IEEE International Conference on Digital Ecosystems and Technologies (DEST) - Complex Environment Engineering

    Traditional ICT-support has often increased complexity, thus making the challenges even more severe. The Digital Ecosystem perspective aims to address the twofold challenge of Complex Environment Engineering and Digital Ecosystem Technology mapping. The complexity of both the challenges and the technological solutions has to be acknowledged.

  • 2011 5th IEEE International Conference on Digital Ecosystems and Technologies (DEST)

    The digital ecosystem is defined as an open, loosely coupled, demand-driven, domain clustered, agent-based self organized collaborative environment where species/agents form a temporary coalition (or longer term) for a specific purpose or goals, and everyone is proactive and responsive for its own benefit or profit. The essence of digital ecosystems is creating value by making connections through collective intelligence. Digital Ecosystems promote collaboration instead of unbridled competition and ICT based

  • 2010 4th IEEE International Conference on Digital Ecosystems and Technologies (DEST)

    The digital ecosystem is defined as an open, loosely coupled, demand driven, domain clustered, agent based self organized collaborative environment where species/agents form a temporary coalition (or longer term) for a specific purpose or goals, and everyone is proactive and responsive for its own benefit or profit. The essence of digital ecosystems is creating value by making connections through collective intelligence. Digital Ecosystems promote collaboration instead of unbridled competition and ICT based

  • 2009 3rd IEEE International Conference on Digital Ecosystems and Technologies (DEST)

    The digital ecosystem is defined as an open, loosely coupled, domain clustered, demand-driven, self-organising agents environment, where each species is proactive and responsive for its own benefit or profit. The underlying technology for digital ecosystems is composed of extended web services architecture, self-organising intelligent agents, ontology-based knowledge sharing and a swarm intelligence-based recommendation system.

  • 2008 2nd IEEE International Conference on Digital Ecosystems and Technologies (DEST)

    The 2nd IEEE DEST conference will become the main international forum for researchers and practitioners to exchange information regarding advancements in the practice of advanced models for designing and deploying inter-organisational digital business processes involving networks of small and medium enterprise.


2013 9th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM)

All areas related to wireless communications, network technologies, and mobile computing systems.


2012 IEEE International Symposium on Sustainable Systems and Technology (ISSST)

The symposium is a forum for exchange of knowledge related to systems approaches to sustainability in the context of technological change.

  • 2011 IEEE International Symposium on Sustainable Systems and Technology (ISSST)

    This conference was known between 1993 and 2008 as the IEEE International Symposium on Electronics and the Environment. The program includes sessions covering the spectrum of issues for assessing and managing products and services across their life cycle, and the design, management, and policy implications of sustainable engineered systems and technologies, including design for environment, design for sustainability, materials selection, energy management, end-of-life policy and reuse/recycling.

  • 2010 IEEE International Symposium on Sustainable Systems and Technology (ISSST)

    The program includes sessions covering the spectrum of issues for assessing and managing products and services across their life cycle, and the design, management, and policy implications of sustainable engineered systems and technologies, including design for environment, design for sustainability, materials selection, energy management, end-of-life policy and reuse/recycling, process integration, and institutional and policy implications of services and technology systems.

  • 2009 IEEE International Symposium on Sustainable Systems and Technology (ISSST) (Formerly known as ISEE)

    Conference will cover environmental and social implications of ICT technologies, including services. Areas of focus will include industrial ecology, design for environment, design for sustainability, emerging technologies, and sustainable ICT services

  • 2008 IEEE International Symposium on Electronics and the Environment (ISEE)

    Issues associated with sustainable environmental and health of engineered systems, with a focus on information and communication technology systems.

  • 2007 IEEE International Symposium on Electronics and the Environment (ISEE)

  • 2006 IEEE International Symposium on Electronics and the Environment (ISEE) in conjunction with Electronics Recycling Summit


2012 International Conference on Management and Service Science (MASS 2012)

Enterprise Management, Engineering Management, Service Science, Financial Management, Knowledge Management


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Periodicals related to ICT

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Engineering Management, IEEE Transactions on

Management of technical functions such as research, development, and engineering in industry, government, university, and other settings. Emphasis is on studies carried on within an organization to help in decision making or policy formation for RD&E.


Internet Computing, IEEE

IEEE Internet Computing provides journal-quality evaluation and review of emerging and maturing Internet technologies and applications. The magazine targets the technical and scientific Internet user communities as well as designers and developers of Internet-based applications and enabling technologies. IC publishes refereed articles on the latest developments and key trends in Internet technologies and applications. A crossroads between academic researchers and ...


Power Delivery, IEEE Transactions on

Research, development, design, application, construction, the installation and operation of apparatus, equipment, structures, materials, and systems for the safe, reliable, and economic delivery and control of electric energy for general industrial, commercial, public, and domestic consumption.


Professional Communication, IEEE Transactions on

The study, development, improvement, and promotion of techniques for preparing, organizing for use, processing, editing, collecting, conserving, and disseminating any form of information in the electrical and electronics fields.




Xplore Articles related to ICT

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ZigBee based network architecture for animal health monitoring

Ankit Bhavsar; Harshal Arolkar 2015 1st International Conference on Next Generation Computing Technologies (NGCT), 2015

Wireless Sensor Network is collection of sensor nodes which consist of sensing device, storage device, processing unit and antenna. These nodes may be placed in difficult physical environment for sensing an event, collecting data, processing data and forwarding it using wireless network to the sink, where data can be stored, processed and analyzed. Animal monitoring, Building monitoring and other are ...


Relative QoS provisioning over next-generation networks

Gianmarco Panza; Sara Grilli; Esa Piri; Janne Vehkaperä 2013 IEEE 9th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), 2013

Next-Generation Networks (NGNs), comprising for example, 4G and B4G mobile systems, will support Quality of Service (QoS) over a heterogeneous wired and wireless IP-based infrastructure. A relative model of service differentiation in Differentiated Services architecture is a scalable solution for delivering multimedia traffic. However, the dynamic nature of radio channels makes it difficult to achieve the target quality provisioning working ...


Performance evaluation of local features in human classification and detection

S. Paisitkriangkrai; C. Shen; J. Zhang IET Computer Vision, 2008

Detecting pedestrians accurately is the first fundamental step for many computer vision applications such as video surveillance, smart vehicles, intersection traffic analysis and so on. The authors present an experimental study on pedestrian detection using state-of-the-art local feature extraction and support vector machine (SVM) classifiers. The performance of pedestrian detection using region covariance, histogram of oriented gradients (HOG) and local ...


Independent Operator of Measurements as a virtual enterprise on the energy market

Bożena Matusiak Proceedings of the International Multiconference on Computer Science and Information Technology, 2010

The independent Operator of Measurements (IOM) is a new energy market actor that will implement a remote access to the metering data and stores, as well as aggregating and delivering them in real time to all market participants as an independent service-placed "above the market" enterprise. In that sense IOM, with an adequate infrastructure of ICT has become a virtual ...


GVScan: Scanning Networks for Global Vulnerabilities

Fabrizio Baiardi; Fabio Corò; Federico Tonelli; Luca Guidi 2013 International Conference on Availability, Reliability and Security, 2013

A global vulnerability is a set of vulnerabilities in one or several nodes of an ICT infrastructure. These vulnerabilities enable some attacks that may be sequentialized so that the privileges that each attack requires are acquired through the previous ones. Current vulnerability scanners cannot discover global vulnerabilities because they analyze each node in isolation, without correlating the vulnerabilities in the ...


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Educational Resources on ICT

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eLearning

ZigBee based network architecture for animal health monitoring

Ankit Bhavsar; Harshal Arolkar 2015 1st International Conference on Next Generation Computing Technologies (NGCT), 2015

Wireless Sensor Network is collection of sensor nodes which consist of sensing device, storage device, processing unit and antenna. These nodes may be placed in difficult physical environment for sensing an event, collecting data, processing data and forwarding it using wireless network to the sink, where data can be stored, processed and analyzed. Animal monitoring, Building monitoring and other are ...


Relative QoS provisioning over next-generation networks

Gianmarco Panza; Sara Grilli; Esa Piri; Janne Vehkaperä 2013 IEEE 9th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), 2013

Next-Generation Networks (NGNs), comprising for example, 4G and B4G mobile systems, will support Quality of Service (QoS) over a heterogeneous wired and wireless IP-based infrastructure. A relative model of service differentiation in Differentiated Services architecture is a scalable solution for delivering multimedia traffic. However, the dynamic nature of radio channels makes it difficult to achieve the target quality provisioning working ...


Performance evaluation of local features in human classification and detection

S. Paisitkriangkrai; C. Shen; J. Zhang IET Computer Vision, 2008

Detecting pedestrians accurately is the first fundamental step for many computer vision applications such as video surveillance, smart vehicles, intersection traffic analysis and so on. The authors present an experimental study on pedestrian detection using state-of-the-art local feature extraction and support vector machine (SVM) classifiers. The performance of pedestrian detection using region covariance, histogram of oriented gradients (HOG) and local ...


Independent Operator of Measurements as a virtual enterprise on the energy market

Bożena Matusiak Proceedings of the International Multiconference on Computer Science and Information Technology, 2010

The independent Operator of Measurements (IOM) is a new energy market actor that will implement a remote access to the metering data and stores, as well as aggregating and delivering them in real time to all market participants as an independent service-placed "above the market" enterprise. In that sense IOM, with an adequate infrastructure of ICT has become a virtual ...


GVScan: Scanning Networks for Global Vulnerabilities

Fabrizio Baiardi; Fabio Corò; Federico Tonelli; Luca Guidi 2013 International Conference on Availability, Reliability and Security, 2013

A global vulnerability is a set of vulnerabilities in one or several nodes of an ICT infrastructure. These vulnerabilities enable some attacks that may be sequentialized so that the privileges that each attack requires are acquired through the previous ones. Current vulnerability scanners cannot discover global vulnerabilities because they analyze each node in isolation, without correlating the vulnerabilities in the ...


More eLearning Resources

IEEE.tv Videos

No IEEE.tv Videos are currently tagged "ICT"

IEEE-USA E-Books

  • Structured Prediction Based on Discriminative Models

    Machine learning develops intelligent computer systems that are able to generalize from previously seen examples. A new domain of machine learning, in which the prediction must satisfy the additional constraints found in structured data, poses one of machine learning's greatest challenges: learning functional dependencies between arbitrary input and output domains. This volume presents and analyzes the state of the art in machine learning algorithms and theory in this novel field. The contributors discuss applications as diverse as machine translation, document markup, computational biology, and information extraction, among others, providing a timely overview of an exciting field. Contributors Yasemin Altun, Gï¿¿ï¿¿khan Bakir [no dot over i], Olivier Bousquet, Sumit Chopra, Corinna Cortes, Hal Daumï¿¿ï¿¿ III, Ofer Dekel, Zoubin Ghahramani, Raia Hadsell, Thomas Hofmann, Fu Jie Huang, Yann LeCun, Tobias Mann, Daniel Marcu, David McAllester, Mehryar Mohri, William Stafford Noble, Fernando Pï¿¿ï¿¿rez-Cruz, Massimiliano Pontil, Marc'Aurelio Ranzato, Juho Rousu, Craig Saunders, Bernhard Schï¿¿ï¿¿lkopf, Matthias W. Seeger, Shai Shalev-Shwartz, John Shawe-Taylor, Yoram Singer, Alexander J. Smola, Sandor Szedmak, Ben Taskar, Ioannis Tsochantaridis, S.V.N Vishwanathan, Jason Weston Gï¿¿ï¿¿khan Bakir [no dot over i] is Research Scientist at the Max Planck Institute for Biological Cybernetics in Tï¿¿ï¿¿bingen, Germany. Thomas Hofmann is a Director of Engineering at Google's Engineering Center in Zurich and Adjunct Associate Professor of Computer Science at Brown University. Bernhard Schï¿¿ï¿¿lkopf is Director of the Max Planck Institute for Biological Cybernetics and Professor at the Technical University Berlin. Alexander J. Smola is Senior Principal Researcher and Mac hine Learning Program Leader at National ICT Australia/Australian National University, Canberra. Ben Taskar is Assistant Professor in the Computer and Information Science Department at the University of Pennsylvania. S. V. N. Vishwanathan is Senior Researcher in the Statistical Machine Learning Program, National ICT Australia with an adjunct appointment at the Research School for Information Sciences and Engineering, Australian National University.

  • Index

    Machine learning develops intelligent computer systems that are able to generalize from previously seen examples. A new domain of machine learning, in which the prediction must satisfy the additional constraints found in structured data, poses one of machine learning's greatest challenges: learning functional dependencies between arbitrary input and output domains. This volume presents and analyzes the state of the art in machine learning algorithms and theory in this novel field. The contributors discuss applications as diverse as machine translation, document markup, computational biology, and information extraction, among others, providing a timely overview of an exciting field. Contributors Yasemin Altun, Gï¿¿ï¿¿khan Bakir [no dot over i], Olivier Bousquet, Sumit Chopra, Corinna Cortes, Hal Daumï¿¿ï¿¿ III, Ofer Dekel, Zoubin Ghahramani, Raia Hadsell, Thomas Hofmann, Fu Jie Huang, Yann LeCun, Tobias Mann, Daniel Marcu, David McAllester, Mehryar Mohri, William Stafford Noble, Fernando Pï¿¿ï¿¿rez-Cruz, Massimiliano Pontil, Marc'Aurelio Ranzato, Juho Rousu, Craig Saunders, Bernhard Schï¿¿ï¿¿lkopf, Matthias W. Seeger, Shai Shalev-Shwartz, John Shawe-Taylor, Yoram Singer, Alexander J. Smola, Sandor Szedmak, Ben Taskar, Ioannis Tsochantaridis, S.V.N Vishwanathan, Jason Weston Gï¿¿ï¿¿khan Bakir [no dot over i] is Research Scientist at the Max Planck Institute for Biological Cybernetics in Tï¿¿ï¿¿bingen, Germany. Thomas Hofmann is a Director of Engineering at Google's Engineering Center in Zurich and Adjunct Associate Professor of Computer Science at Brown University. Bernhard Schï¿¿ï¿¿lkopf is Director of the Max Planck Institute for Biological Cybernetics and Professor at the Technical University Berlin. Alexander J. Smola is Senior Principal Researcher and Mac hine Learning Program Leader at National ICT Australia/Australian National University, Canberra. Ben Taskar is Assistant Professor in the Computer and Information Science Department at the University of Pennsylvania. S. V. N. Vishwanathan is Senior Researcher in the Statistical Machine Learning Program, National ICT Australia with an adjunct appointment at the Research School for Information Sciences and Engineering, Australian National University.

  • The Inflection Point

    Innovation in information and communication technology (ICT) fuels the growth of the global economy. How ICT markets evolve depends on politics and policy, and since the 1950s periodic overhauls of ICT policy have transformed competition and innovation. For example, in the 1980s and the 1990s a revolution in communication policy (the introduction of sweeping competition) also transformed the information market. Today, the diffusion of Internet, wireless, and broadband technology, growing modularity in the design of technologies, distributed computing infrastructures, and rapidly changing business models signal another shift. This pathbreaking examination of ICT from a political economy perspective argues that continued rapid innovation and economic growth require new approaches in global governance that will reconcile diverse interests and enable competition to flourish. The authors (two of whom were architects of international ICT policy reforms in the 1990s) discuss this crucial turning point in both theoretical and practical terms.

  • Introduction

    Machine learning develops intelligent computer systems that are able to generalize from previously seen examples. A new domain of machine learning, in which the prediction must satisfy the additional constraints found in structured data, poses one of machine learning's greatest challenges: learning functional dependencies between arbitrary input and output domains. This volume presents and analyzes the state of the art in machine learning algorithms and theory in this novel field. The contributors discuss applications as diverse as machine translation, document markup, computational biology, and information extraction, among others, providing a timely overview of an exciting field. Contributors Yasemin Altun, Gï¿¿ï¿¿khan Bakir [no dot over i], Olivier Bousquet, Sumit Chopra, Corinna Cortes, Hal Daumï¿¿ï¿¿ III, Ofer Dekel, Zoubin Ghahramani, Raia Hadsell, Thomas Hofmann, Fu Jie Huang, Yann LeCun, Tobias Mann, Daniel Marcu, David McAllester, Mehryar Mohri, William Stafford Noble, Fernando Pï¿¿ï¿¿rez-Cruz, Massimiliano Pontil, Marc'Aurelio Ranzato, Juho Rousu, Craig Saunders, Bernhard Schï¿¿ï¿¿lkopf, Matthias W. Seeger, Shai Shalev-Shwartz, John Shawe-Taylor, Yoram Singer, Alexander J. Smola, Sandor Szedmak, Ben Taskar, Ioannis Tsochantaridis, S.V.N Vishwanathan, Jason Weston Gï¿¿ï¿¿khan Bakir [no dot over i] is Research Scientist at the Max Planck Institute for Biological Cybernetics in Tï¿¿ï¿¿bingen, Germany. Thomas Hofmann is a Director of Engineering at Google's Engineering Center in Zurich and Adjunct Associate Professor of Computer Science at Brown University. Bernhard Schï¿¿ï¿¿lkopf is Director of the Max Planck Institute for Biological Cybernetics and Professor at the Technical University Berlin. Alexander J. Smola is Senior Principal Researcher and Mac hine Learning Program Leader at National ICT Australia/Australian National University, Canberra. Ben Taskar is Assistant Professor in the Computer and Information Science Department at the University of Pennsylvania. S. V. N. Vishwanathan is Senior Researcher in the Statistical Machine Learning Program, National ICT Australia with an adjunct appointment at the Research School for Information Sciences and Engineering, Australian National University.

  • No title

    Research on multiculturalism and information and communication technology (ICT) has been important to understanding recent history, planning for future large-scale initiatives, and understanding unrealized expectations for social and technological change. This interdisciplinary area of research has examined interactions between ICT and culture at the group and society levels. However, there is debate within the literature as to the nature of the relationship between culture and technology. In this synthesis, we suggest that the tensions result from the competing ideologies that drive researchers, allowing us to conceptualize the relationship between culture and ICT under three primary models, each with its own assumptions: 1) Social informatics, 2) Social determinism, and 3) Technological determinism. Social informatics views the relationship to be one of sociotechnical interaction, in which culture and ICTs affect each other mutually and iteratively, rather than linearly; the vast ma ority of the literature approach the relationships between ICT and culture under the assumptions of social informatics. From a socially deterministic perspective, ICTs are viewed as the dependent variable in the equation, whereas, from a technologically deterministic perspective, ICTs are an independent variable. The issues of multiculturalism and ICTs attracted much scholarly attention and have been explored under a myriad of contexts, with substantial literature on global development, social and political issues, business and public administration as well as education and scholarly collaboration. We synthesize here research in the areas of global development, social and political issues, and business collaboration. Finally we conclude by proposing under-explored areas for future research directions.

  • IT-Enabled Growth Nodes in Europe: Concepts, Issues, and Research Agenda

    This chapter contains sections titled: From Clusters to Growth Nodes, Do Growth Nodes Exist?, Growth Nodes and Regional Development, The Social Factor, Learning Systems, Business Networks, Concerns About Equity, Conditions to Sustain and Develop Growth Nodes, The I-Space: A Conceptual Framework to Assess Knowledge Management in Growth Nodes, Network Institutional Orders, The I-Space and the Effects of ICT, Identifying and Measuring Growth Nodes, Enabling ICT Infrastructure for Growth Node Development and Interaction, Knowledge Sharing, Proximity, and ICT, "Presence" and ICT-Mediated Environments, Shared ICT Infrastructure, The Policy Perspective, Toward Growth Node Policies, Conclusion, Appendix: Research Agenda for ICT-Enabled Growth Nodes in Europe, Notes, References

  • A Nondiscriminatory Information Society

    This chapter contains sections titled: The Principle of Nondiscrimination, Nondiscrimination and ICT, Conclusion, Notes

  • Louder Voices and the International Debate on Developing Country Participation in ICT Decision Making

    This chapter contains sections titled: Mapping the International ICT Decision- Making Universe, Assessing the Impact of Developing Countries in International Decision Making, Obstacles to Developing Country Participation, The Louder Voices Program of Action, The Louder Voices Recommendations, Conclusions and Recommendations, Notes, References

  • Structured Prediction Using Probabilistic Models

    Machine learning develops intelligent computer systems that are able to generalize from previously seen examples. A new domain of machine learning, in which the prediction must satisfy the additional constraints found in structured data, poses one of machine learning's greatest challenges: learning functional dependencies between arbitrary input and output domains. This volume presents and analyzes the state of the art in machine learning algorithms and theory in this novel field. The contributors discuss applications as diverse as machine translation, document markup, computational biology, and information extraction, among others, providing a timely overview of an exciting field. Contributors Yasemin Altun, Gï¿¿ï¿¿khan Bakir [no dot over i], Olivier Bousquet, Sumit Chopra, Corinna Cortes, Hal Daumï¿¿ï¿¿ III, Ofer Dekel, Zoubin Ghahramani, Raia Hadsell, Thomas Hofmann, Fu Jie Huang, Yann LeCun, Tobias Mann, Daniel Marcu, David McAllester, Mehryar Mohri, William Stafford Noble, Fernando Pï¿¿ï¿¿rez-Cruz, Massimiliano Pontil, Marc'Aurelio Ranzato, Juho Rousu, Craig Saunders, Bernhard Schï¿¿ï¿¿lkopf, Matthias W. Seeger, Shai Shalev-Shwartz, John Shawe-Taylor, Yoram Singer, Alexander J. Smola, Sandor Szedmak, Ben Taskar, Ioannis Tsochantaridis, S.V.N Vishwanathan, Jason Weston Gï¿¿ï¿¿khan Bakir [no dot over i] is Research Scientist at the Max Planck Institute for Biological Cybernetics in Tï¿¿ï¿¿bingen, Germany. Thomas Hofmann is a Director of Engineering at Google's Engineering Center in Zurich and Adjunct Associate Professor of Computer Science at Brown University. Bernhard Schï¿¿ï¿¿lkopf is Director of the Max Planck Institute for Biological Cybernetics and Professor at the Technical University Berlin. Alexander J. Smola is Senior Principal Researcher and Mac hine Learning Program Leader at National ICT Australia/Australian National University, Canberra. Ben Taskar is Assistant Professor in the Computer and Information Science Department at the University of Pennsylvania. S. V. N. Vishwanathan is Senior Researcher in the Statistical Machine Learning Program, National ICT Australia with an adjunct appointment at the Research School for Information Sciences and Engineering, Australian National University.

  • Technological Innovation in Organizations and Their Ecosystems

    This chapter contains sections titled: Adoption of ICT Innovations and Organizational Change, From Organizational Change to Business Performance: Productivity Paradox or Management Paradox?, Value Creation and It Governance, Transcending Organizational Boundaries, Toward Customer-Centric Ecosystems, The Enabling Ict Infrastructure, The Death of Distance?, Conclusions and Research Directions, References



Standards related to ICT

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Jobs related to ICT

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