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This book reports on the proceeding of the 5th International
Conference on Intelligent, Interactive Systems and Applications
(IISA 2020), held in Shanghai, China, on September 25-27, 2020. The
IISA proceedings, with the latest scientific findings, and methods
for solving intriguing problems, are a reference for
state-of-the-art works on intelligent and interactive systems. This
book covers nine interesting and current topics on different
systems' orientations, including Analytical Systems, Database
Management Systems, Electronics Systems, Energy Systems,
Intelligent Systems, Network Systems, Optimization Systems, and
Pattern Recognition Systems and Applications. The chapters included
in this book cover significant recent developments in the field,
both in terms of theoretical foundations and their practical
application. An important characteristic of the works included here
is the novelty of the solution approaches to the most interesting
applications of intelligent and interactive systems.
This book discusses an emerging field of decision science that
focuses on business processes and systems used to extract knowledge
from large volumes of data to provide significant insights for
crucial decisions in critical situations. It presents studies
employing computing techniques like machine learning, which explore
decision-making for cross-platforms that contain heterogeneous data
associated with complex assets, leadership, and team coordination.
It also reveals the advantages of using decision sciences with
management-oriented problems. The book includes a selection of the
best papers presented at the 2nd International Conference on
Decision Science and Management (ICDSM 2019), held at Hunan
International Economics University, China, on 20-21 September 2019.
This edited book is based on the research papers presented at the
4th International Conference on Intelligent, Interactive Systems
and Applications (IISA2019), held on June 28-30, 2019 in Bangkok,
Thailand. Interactive intelligent systems (IIS) are systems that
interact with human beings, media or virtual agents in intelligent
computing environments. This book explores how novel interactive
systems can intelligently address various challenges and also
limitations previously encountered by human beings using different
machine learning algorithms, and analyzes recent trends. The book
includes contributions from diverse areas of IIS, here categorized
into seven sections, namely i) Intelligent Systems; ii) Autonomous
Systems; iii) Pattern Recognition and Computer Vision; iv)
E-Enabled Systems; v) Internet & Cloud Computing; vi) Mobile
& Wireless Communication; and vii) Various Applications. It not
only presents theoretical knowledge on the intelligent and
interactive systems but also discusses various applications
pertaining to different domains.
This book discusses an emerging area in computer science, IT and
management, i.e., decision sciences and management. It includes
studies that employ various computing techniques like machine
learning to generate insights from huge amounts of available data;
and which explore decision-making for cross-platforms that contain
heterogeneous data associated with complex assets; leadership; and
team coordination. It also reveals the advantages of using decision
sciences with management-oriented problems. The book includes a
selection of the best papers presented at the International
Conference on Decision Science and Management 2018 (ICDSM 2018),
held at the Interscience Institute of Management and Technology
(IIMT), Bhubaneswar, India.
This edited volume is brought out from the contributions of the
research papers presented in the International Conference on Data
Science and Business Analytics (ICDSBA- 2017), which was held
during September 23-25 2017 in ChangSha, China. As we all know, the
field of data science and business analytics is emerging at the
intersection of the fields of mathematics, statistics, operations
research, information systems, computer science and engineering.
Data science and business analytics is an interdisciplinary field
about processes and systems to extract knowledge or insights from
data. Data science and business analytics employ techniques and
theories drawn from many fields including signal processing,
probability models, machine learning, statistical learning, data
mining, database, data engineering, pattern recognition,
visualization, descriptive analytics, predictive analytics,
prescriptive analytics, uncertainty modeling, big data, data
warehousing, data compression, computer programming, business
intelligence, computational intelligence, and high performance
computing among others. The volume contains 55 contributions from
diverse areas of Data Science and Business Analytics, which has
been categorized into five sections, namely: i) Marketing and
Supply Chain Analytics; ii) Logistics and Operations Analytics;
iii) Financial Analytics. iv) Predictive Modeling and Data
Analytics; v) Communications and Information Systems Analytics. The
readers shall not only receive the theoretical knowledge about this
upcoming area but also cutting edge applications of this domains.
This book presents the proceedings of the International Conference
on Intelligent, Interactive Systems and Applications (IISA2018),
held in Hong Kong, China on June 29-30, 2018. It consists of
contributions from diverse areas of intelligent interactive systems
(IIS), such as: autonomous systems; pattern recognition and vision
systems; e-enabled systems; mobile computing and intelligent
networking; Internet & cloud computing; intelligent systems and
applications. The book covers the latest ideas and innovations from
both the industrial and academic worlds, and shares the best
practices in the fields of computer science, communication
engineering and latest applications of IOT and its use in industry.
It also discusses key research outputs, providing readers with a
wealth of new ideas and food for thought.
This edited volume is brought out from the contributions of the
research papers presented in the International Conference on Data
Science and Business Analytics (ICDSBA- 2017), which was held
during September 23-25 2017 in ChangSha, China. As we all know, the
field of data science and business analytics is emerging at the
intersection of the fields of mathematics, statistics, operations
research, information systems, computer science and engineering.
Data science and business analytics is an interdisciplinary field
about processes and systems to extract knowledge or insights from
data. Data science and business analytics employ techniques and
theories drawn from many fields including signal processing,
probability models, machine learning, statistical learning, data
mining, database, data engineering, pattern recognition,
visualization, descriptive analytics, predictive analytics,
prescriptive analytics, uncertainty modeling, big data, data
warehousing, data compression, computer programming, business
intelligence, computational intelligence, and high performance
computing among others. The volume contains 55 contributions from
diverse areas of Data Science and Business Analytics, which has
been categorized into five sections, namely: i) Marketing and
Supply Chain Analytics; ii) Logistics and Operations Analytics;
iii) Financial Analytics. iv) Predictive Modeling and Data
Analytics; v) Communications and Information Systems Analytics. The
readers shall not only receive the theoretical knowledge about this
upcoming area but also cutting edge applications of this domains.
The intensity of global competition and ever-increasing economic
uncertainties has led organizations to search for more efficient
and effective ways to manage their business operations. Data
envelopment analysis (DEA) has been widely used as a conceptually
simple yet powerful tool for evaluating organizational productivity
and performance. Fuzzy DEA (FDEA) is a promising extension of the
conventional DEA proposed for dealing with imprecise and ambiguous
data in performance measurement problems. This book is the first
volume in the literature to present the state-of-the-art
developments and applications of FDEA. It is designed for students,
educators, researchers, consultants and practicing managers in
business, industry, and government with a basic understanding of
the DEA and fuzzy logic concepts.
The intensity of global competition and ever-increasing economic
uncertainties has led organizations to search for more efficient
and effective ways to manage their business operations. Data
envelopment analysis (DEA) has been widely used as a conceptually
simple yet powerful tool for evaluating organizational productivity
and performance. Fuzzy DEA (FDEA) is a promising extension of the
conventional DEA proposed for dealing with imprecise and ambiguous
data in performance measurement problems. This book is the first
volume in the literature to present the state-of-the-art
developments and applications of FDEA. It is designed for students,
educators, researchers, consultants and practicing managers in
business, industry, and government with a basic understanding of
the DEA and fuzzy logic concepts.
This book discusses an emerging area in computer science, IT, and
management, i.e., decision sciences and management. It includes
studies that employ various computing techniques like machine
learning to generate insights from huge amounts of available data;
and which explore decision making for cross-platforms that contain
heterogeneous data associated with complex assets; leadership; and
team coordination. It also reveals the advantages of using decision
sciences with management-oriented problems. The book includes a
selection of the best papers presented at the Third International
Conference on Decision Science and Management 2021 (ICDSM 2021),
held at Hang Seng University of Hong Kong in China.
This edited book presents contributions from three different areas:
cloud computing, digital mess and business algorithms on a single
platform, i.e. Digital Business. The book is divided into four
sections: (i) Digital Business Transformation, (ii) Cloud
Computing, (iii) IOT & Mobility, and (iv) Information
Management & Social Media, which are part of a holistic
approach to information management and connecting the value chains
of businesses to derive more throughput in the entire business
ecosystem. Digital business is a niche area of computer science and
business management, and its dimension is vast - it includes
technologies such as cloud computing, Internet of Things, mobile
platforms, big data applied in areas like ERP, data mining and
business intelligence. Digital technologies have also challenged
existing business models and will continue to do so. One of the key
driving forces is the capacity of innovation and the
commercialization of information and communication technologies.
Providing insights into the new paradigm of digital business, the
book is a valuable resource for research scholars, academics and
professionals.
Continuous improvements in digitized practices have created
opportunities for businesses to develop more streamlined processes.
This not only leads to higher success in day-to-day production, but
it increases the overall success of businesses. Enterprise
Information Systems and the Digitalization of Business Functions is
a key resource on the latest advances and research for a digital
agenda in the business world. Highlighting multidisciplinary
studies on data modeling, information systems, and customer
relationship management, this publication is an ideal reference
source for professionals, researchers, managers, consultants, and
university students interested in emerging developments for
business process management.
Businesses are collecting massive amounts of data every day as a
way to better understand their processes, competition, and the
markets they serve. This data can be used to increase
organizational productivity and performance; however, is essential
that organizations collecting large data sets have the tools
available to them to fully understand the data they are collecting.
Organizational Productivity and Performance Measurements Using
Predictive Modeling and Analytics takes a critical look at methods
for enhancing an organization's operations and day-to-day
activities through the effective use of data. Focusing on a variety
of applications of predictive analytics within organizations of all
types, this critical publication is an essential resource for
business managers, data scientists, graduate-level students, and
researchers.
Big data analytics utilizes a wide range of software and analytical
tools to provide immediate, relevant information for efficient
decision-making. Companies are recognizing the immense potential of
BDA, but ensuring the data is appropriate and error-free is the
largest hurdle in implementing BDA applications. The Handbook of
Research on Organizational Transformations through Big Data
Analytics not only catalogues the existing platforms and
technologies, it explores new trends within the field of big data
analytics (BDA). Containing new and existing research materials and
insights on the various approaches to BDA; this publication is
intended for researchers, IT professionals, and CIOs interested in
the best ways to implement BDA applications and technologies.
Healthcare practices have been enhanced through the use of
information technologies and analytical methods. A cross between
computer science, healthcare, and information science is needed for
the optimization of data resources and information systems within
the healthcare industry. Healthcare Informatics and Analytics:
Emerging Issues and Trends introduces the latest research
concerning the innovative implementation of information technology
and data analysis in the healthcare field. Highlighting current
concerns and recent advances in patient care and healthcare
delivery, this book is a comprehensive reference source for
academics, researchers, medical students, and healthcare
practitioners interested in the application of information science
within the health sector.
Using interdisciplinary approaches to strategic management can
strengthen the decision making process. Incorporating various
methods will also encourage productivity, expand knowledge of
participants, and increase technical proficiency. Analytical
Approaches to Strategic Decision-Making: Interdisciplinary
Considerations aims to integrate different techniques into the
world s fast-changing and dynamic society to better equip all
readers and practitioners with the most effective knowledge.
Managers, CEOs, researchers, and academics in the fields of
business and leadership will all benefit from this valuable
resource through an enhanced understanding of best practices in
decision-making and management."
As there is a vast amount of information to consider when offering
quality services, organisations have developed techniques for
identifying risk factors to be taken into consideration when
constructing effective business strategies. Developing Business
Strategies and Identifying Risk Factors in Modern Organizations
presents new methodologies currently being utilised to formulate
and solve strategic issues in order to escape the jeopardy of
possible business risks. By highlighting a multitude of sciences
and their influences on modern organisations; this book is an
essential reference for decision makers and researchers in
business, industry, government, and academia.
There is an immense amount of information to be considered when
attempting to solve complex strategic problems. To recognize the
complexity of this process, the creation of tools and techniques
are essential to aid decision makers in developing a rational model
for strategy evaluation. Management Theories and Strategic
Practices for Decision Making brings together a collection of
research aiming to provide communication for the management of new
methodologies to solve strategic problems and applying decision
making approaches. This reference is useful for government
agencies, practicing managers, academic and research institutions
interested in bringing together strategic decision-making and
decision sciences.
Global markets and competition have forced companies to operate in
a physically distributed environment to take the advantage of
benefits of strategic alliances between partnering firms. With
global operations in place, there is a need for suitable Enterprise
Information Systems (EIS) such as Enterprise Resource Planning
(ERP) and E-Commerce (EC) for the integration of extended
enterprises along the supply chain with the objective of achieving
flexibility and responsiveness. Enterprise Information Systems and
Advancing Business Solutions: Emerging Models is to provide
comprehensive coverage and understanding of various enterprise
information systems (EIS) such as enterprise resource planning
(ERP) and electronic commerce (EC) and their implications on supply
chain management and organizational competitiveness. Design,
development, and implementation issues of EIS including ERP and EC
will be discussed. These include organizational, people, and
technological issues of EIS. This title will also expand the
knowledge on ERP and EC and in turn help researchers and
practitioners to develop suitable strategies, tactics, and
operational policies for EIS and for improving communication in
organizations.
The vast amount of information that must be considered to solve
inherently ill-structured and complex strategic problems creates a
need for tools and techniques to help decision-makers recognize the
complexity of this process and develop a rational model for
strategy evaluation. Decision Making Theories and Practices from
Analysis to Strategy is a definitive focus on analytical strategic
decision-making. This work is comprised of sophisticated tools and
methodologies developed by researchers and vendors to improve
decision making for business strategy. Extracting from a wide range
of disciplines, including accounting, finance, information systems,
international management, marketing, organizational management,
operations research, production and operations management, and
strategic management, this volume provides a conceptual and a
utilitarian guide to decision making, perfect for both researchers
and practicing professionals alike.
Enterprise Information Systems (EIS), as business management
systems, seek to combine all aspects of an organization. EIS
facilitate enterprise-wide integrated information systems (IS)
covering all functional areas of the organization and performing
core business activities. In today s uncertain and complex business
environment, EIS are critical to organizations. Managing
Adaptability, Intervention, and People in Enterprise Information
Systems highlights ongoing issues in three areas having
implications for EIS: adaptability, intervention, and people. This
book discusses the role of change management, conversion
management, readiness management, knowledge management, e-business
management, people management, and stakeholder management for a
competitive advantage in EIS. Ongoing research on EIS is vital to
provide insights into the challenges, issues, and solutions related
to management of various aspects of EIS in our ever changing world.
Providing a central organisation for shared information, large
businesses continue to rely on enterprise information systems to
offer quality service when deadline with large volumes of data.
Competition, Strategy, and Modern Enterprise Information Systems
provides extensive coverage on the organisational, managerial and
technologies concerns of enterprise information systems and its
executive competitiveness. This collection of original research
aims to bring together a discussion for innovative ideas and
developments in the EIS field.
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