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Strategic disruptors in companies and economies, including
blockchain technology, big data, and artificial intelligence, can
contribute to the creation of new business opportunities, jobs, and
growth. Research is needed on the impacts of these disruptors in
Asia, as well as analyses on new business ecosystems and policy
implications. Global Challenges and Strategic Disruptors in Asian
Businesses and Economies presents a rich collection of chapters
that explore and discuss the state of the art, emerging topics,
challenges, and success factors in business, big data, innovation,
and technology in Asia. The book explores how the internet of
things, big data, and artificial intelligence can provide solutions
for global challenges and companies. Including topics on digital
economy, strategic management, and information technologies, this
book is ideal for managing directors, general managers, corporate
heads of firms, politicians, executives, entrepreneurs,
academicians, decision makers, policymakers, researchers, and
students looking to enhance their understanding and collaboration
in business, disruptive innovation, and technology in Asia.
Digital technologies are transforming economies and societies
around the world. As such, markets demand new types of skills and
competences that students must learn in order to be successful. IT
and emerging technologies can be integrated into educational
institutions to improve teaching methods and academic results as
well as digital literacy. IT and the Development of Digital Skills
and Competences in Education compiles critical research into one
comprehensive reference source that explores the new demands of
labor markets in the digital economy, how educational institutions
can respond to these new opportunities and threats, the development
of new teaching and learning methods, and the development of
digital skills and competences. Through new theories, research
findings, and case studies, the book seeks to incite new
perspectives to understandings of the challenges and opportunities
of the utilization of IT in the education sector around the world.
Due to innovative topics that include digital competence,
disruptive technologies, and digital transformation, this book is
an ideal reference for academicians, directors of schools,
vice-chancellors, education and IT experts, CEOs, policymakers in
the field of education and IT, researchers, and students.
Continual advancements in web technology have highlighted the need
for formatted systems that computers can utilize to easily read and
sift through the hundreds of thousands of data points across the
internet. Therefore, having the most relevant data in the least
amount of time to optimize the productivity of users becomes a
priority. Semantic Web Science and Real-World Applications provides
emerging research exploring the theoretical and practical aspects
of semantic web science and real-world applications within the area
of big data. Featuring coverage on a broad range of topics such as
artificial intelligence, social media monitoring, and microblogging
recommendation systems, this book is ideally designed for IT
consultants, academics, professionals, and researchers of web
science seeking the current developments, requirements and
standards, and technology spaces presented across academia and
industries.
With the dawn of electronic databases, information technologies,
and the Internet, organizations, now more than ever, have easy
access to all the knowledge they need to conduct their business.
However, utilizing and detecting the beneficial information can
pose as a challenge. Enhancing Knowledge Discovery and Innovation
in the Digital Era is a vibrant reference source on the latest
research on student education, open information, technology
enhanced learning (TEL), and student outcomes. Featuring widespread
coverage across a range of applicable perspectives and topics, such
as engineering education, data mining, and 3D printing, this book
is ideally designed for professionals, upper-level students, and
academics seeking current research on knowledge management and
innovation networks.
The evolution of information technologies, mobile devices, and
social media as well as the needs of students, workers, and
academics have experienced rapid changes in the past several years.
This complex and dynamic reality requires new forms of delivery of
learning content to students, the building of special learning
environments, and new teaching methodologies for academics. Opening
Up Education for Inclusivity Across Digital Economies and Societies
is an essential reference source that aims to foster the
international exchange of academic insights and approaches in order
to broaden visibility in the development of technology for
education, establish an international platform for interactions on
information technology and application in education, accelerate
innovation in education technology, and analyze the latest
achievements and progress in new and emerging information
technology for education with a special focus on higher education
institutions. The book addresses applications of technology use and
digital competence development in education systems around the
world including both specific uses in classrooms and broader uses
in national and regional policies. The book is ideally designed for
educators, administrators, policymakers, managers, politicians, and
academicians.
This book features research presented and discussed during the
Research & Innovation Forum (Rii Forum) 2020. As such, this
book offers a unique insight into emerging topics, issues and
developments pertinent to the fields of technology, innovation and
education and their social impact. Papers included in this book
apply inter- and multi-disciplinary approaches to query such issues
as technology-enhanced teaching and learning, smart cities,
information systems, cognitive computing and social networking.
What brings these threads of the discussion together is the
question of how advances in computer science - which are otherwise
largely incomprehensible to researchers from other fields - can be
effectively translated and capitalized on so as to make them
beneficial for society as a whole. In this context, Rii Forum and
Rii Forum proceedings offer an essential venue where diverse
stakeholders, including academics, the think tank sector and
decision-makers, can engage in a meaningful dialogue with a view to
improving the applicability of advances in computer science.
As the healthcare industry continues to expand, it must utilize
technology to ensure efficiencies are maintained. Healthcare needs
to move in a direction where computational methods and algorithms
can relieve the routine work of medical doctors, leaving them more
time to carry out more important and skilled tasks such as surgery.
Computational Methods and Algorithms for Medicine and Optimized
Clinical Practice discusses some of the most interesting aspects of
theoretical and applied research covering complementary facets of
computational methods and algorithms to achieve greater efficiency
and support medical personnel. Featuring research on topics such as
healthcare reform, artificial intelligence, and disease detection,
this book will particularly appeal to medical professionals and
practitioners, hospitals, administrators, students, researchers,
and academicians.
While cognitive informatics and natural intelligence are receiving
greater attention by researchers, multidisciplinary approaches
still struggle with fundamental problems involving psychology and
neurobiological processes of the brain. Examining the difficulties
of certain approaches using the tools already available is vital
for propelling knowledge forward and making further strides.
Innovations, Algorithms, and Applications in Cognitive Informatics
and Natural Intelligence is a collection of innovative research
that examines the enhancement of human cognitive performance using
emerging technologies. Featuring research on topics such as
parallel computing, neuroscience, and signal processing, this book
is ideally designed for engineers, computer scientists,
programmers, academicians, researchers, and students.
The importance of semantics has been recognized in different areas
of data and information management, including better access,
exchange, interoperability, integration, and analysis of data.
Semantics of data is about associating meaning to data,
understanding what data represents, and improving the value of
data. ""Ubiquitous and Pervasive Knowledge and Learning Management:
Semantics, Social Networking and New Media to Their Full
Potential"" presents an alternative view to ubiquitous and
pervasive knowledge, architectural frameworks, and methodological
issues, and introduces some of the major techniques and tools
developed in the domain of ontology building, analysis, and
semantic Web. ""Ubiquitous and Pervasive Knowledge and Learning
Management: Semantics, Social Networking and New Media to Their
Full Potential"" contributes to the revolutionary domain of
semantic Web and information systems in the following aspects:
vision, methodologies, tools, and applications.
"Social networks are collections of individuals linked together by
a set of relations. The linkage of social networks to people and
business contexts as well as to critical government domains is
important for the emerging information ecosystems of the knowledge
society. Knowledge Networks: The Social Software Perspective
concentrates on strategies that exploit emerging technologies for
the knowledge effectiveness in social networks. This comprehensive
book delivers an excellent mix of information for readers and is a
must for those thirsty for knowledge on social networks and
information systems."
In the last few years, there has been an increased advancement and
evolution in semantic web and information systems in a variety of
fields. The integration of these approaches to ontology
engineering, sophisticated methods and algorithms for open linked
data extraction, and advanced decision-making creates new
opportunities for a bright future. Innovations, Developments, and
Applications of Semantic Web and Information Systems is a critical
scholarly resource that discusses integrated methods of research
and analytics in information technology. Featuring coverage on a
broad range of topics, such as cognitive computing, artificial
intelligence, machine learning, data analysis, and algorithms, this
book is geared towards researchers, academicians, and professionals
seeking current information on semantic web and information
systems.
As semantic technologies prove their value with targeted
applications, there are increasing opportunities to consider their
usefulness in social contexts for knowledge, learning, and human
development. ""Social Web Evolution: Integrating Semantic
Applications and Web 2.0 Technologies"" explores the potential of
Web 2.0 and its synergies with the Semantic Web and provides
state-of-the-art theoretical foundations and technological
applications. A reference edition for academicians, practitioners,
policy makers, and government officers eager for knowledge on Web
2.0 and social Web, this book emphasizes practical aspects of the
integration of semantic applications into social Web technologies.
These days, companies require deep understanding of the key
elements of intellectual capital that drive value in order to
achieve a competitive advantage for the organization. ""Knowledge
Ecology in Global Business: Managing Intellectual Capital""
provides fresh ideas on how intellectual capital through emerging
technologies can support business performance. Through coverage of
essential topics such as competitive strategy, human resource
management, and organizational learning, this indispensable
collection demonstrates the capacity of information technology,
management, and sustainable development for the mutual
understanding, prosperity, and well-being of all citizens.
Various technologies and applications such as cognitive computing,
artificial intelligence, and learning analytics have received
increased attention in recent years. The growing demand behind
their adoption and exploitation in different application contexts
has captured the attention of learning technology specialists,
computer engineers, and business researchers who are attempting to
decipher the phenomenon of personalized e-learning, its relation to
already conducted research, and its implications for new research
opportunities that effect innovations in teaching. Cognitive
Computing in Technology-Enhanced Learning is a critical resource
publication that aims to demonstrate state-of-the-art approaches of
advanced data mining systems in e-learning, such as MOOCs and other
innovative technologies, to improve learning analytics, as well as
to show how new and advanced user interaction designs, educational
models, and adoptive strategies can expand sustainability in
applied learning technologies. Highlighting a range of topics such
as augmented reality, ethics, and online learning environments,
this book is ideal for educators, instructional designers, higher
education faculty, school administrators, academicians,
researchers, and students.
Knowledge Management is concerned with all aspects of eliciting,
acquiring, modelling, and managing knowledge. Application of
knowledge resources successfully helps the organization to deliver
creative products and services. Especially in service business,
service job experience and information about the customer, as well
as the installed site equipment, are key factors to deliver
services efficiently and with high quality. In many cases
supporting information is stored in different backend systems and
it needs to be retrieved, aggregated, and presented on demand.
Knowledge Management and Drivers of Innovation in Services
Industries provides a comprehensive collection of knowledge from
experts within the Information and Knowledge Management field.
Outlining areas on Knowledge Management, Innovation, Information
Technologies and Systems, and Services Industry, this book provides
insight for academic professors, policymakers, and students alike.
While the web itself is about twenty years old, businesses are
still impleme- ing the technology into the fabric of the business
model. The background section will focus on defining the building
blocks for the framework including defining the basic components of
Web 1. 0 which focused on the presence and business transaction.
The Web 2. 0 section will focus on defining the basic building
blocks of customer interactions, while the final section will focus
on a review the wine industry. 2. 1 Web 1. 0: Presence and
Electronic Commerce The term Web 1. 0 emerged from the research
around the development of Web 2. 0. Prior to this, researchers
commonly referred to Web 1. 0 as Electronic C- merce or E-Business.
Where as, web 1. 0 focused on a read only web interface, Web 2. 0
focuses on a read-write interface where value emerges from the
contri- tion of a large volume of users. The Internet initially
focused on the command and control of the information itself.
Information was controlled by a relative small number of resources
but distributed to a large number which spawned the massive growth
of the web itself. Like television before it, the web allowed for
the broadcasting of information to a large number of users. Initial
web sites were built simply to communicate presence or provide
information on the business - self. This component includes
information like marketing materials, investor re- tions,
employment opportunities, and product information.
With the purpose of building upon standard web technologies, open
linked data serves as a useful way to connect previously unrelated
data and to publish structured data on the web. The application of
these elements leads to the creation of data commons called
semantic web. Cases on Open-Linked Data and Semantic Web
Applications brings together new theories, research findings and
case studies which cover the recent developments and approaches
towards applied open linked data and semantic web in the context of
information systems. By enhancing the understanding of open linked
data in business, science and information technologies, this
reference source aims to be useful for academics, researchers, and
practitioners. With the purpose of building upon standard web
technologies, open linked data serves as a useful way to connect
previously unrelated data and to publish structured data on the
web. The application of these elements leads to the creation of
data commons called semantic web.
This is an edited volume based on the 2007 Conference on Metadata
and Semantics Research (MTSR), now in its second meeting. Metadata
research is a pluri-disciplinary field that encompasses all aspects
of the definition, creation, assessment, management and use of
metadata. The volume brings together world class leaders to
contribute their research and up-to-date information on metadata
and semantics applied to library management, e-commerce,
e-business, information science and librarianship, to name a few.
The book is designed for a professional audience composed of
researchers and practitioners in industry.
This handbook is a reference for those interested in information
technologies and emerging management practices in China. The
emphasis on information technologies and management provides a
unique proposition and gives characteristics of flexibility and
adoption to diverse audiences. The subject area is a combination of
global information technology and management along with strategic
management of IT. The handbook exploits state-of-the-art and
emerging trends in theory and technology. This handbook is
primarily designed for a professional and academic audience.
As a new generation of technologies, frameworks, concepts and
practices for information systems emerge, practitioners,
academicians, and researchers are in need of a source where they
can go to educate themselves on the latest innovations in this
area. ""Semantic Web Information Systems: State-of-the-Art
Applications"" establishes value-added knowledge transfer and
personal development channels in three distinctive areas: academia,
industry, and government. ""Semantic Web Information Systems:
State-of-the-Art Applications"" covers new semantic Web-enabled
tools for the citizen, learner, organization, and business.
Real-world applications toward the development of the knowledge
society and semantic Web issues, challenges and implications in
each of the IS research streams are included as viable sources for
this challenging subject.
Today, the information systems (IS) discipline faces new
challenges. Emerging technologies as well as matured approaches for
the social, technical, and developmental role of IS provide a new
context for the evolution of the discipline over the next few
years. ""Emerging Topics and Technologies in Information Systems""
communicates the challenges and opportunities that information
systems research is dealing with today while promoting cutting-edge
research on how current IS support is creating the critical
backbone for the knowledge society. This book is an essential
reference for policy makers, government officers, academicians, and
practitioners thirsty for knowledge on IS and IT beyond traditional
textbooks.
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