|
|
Books > Business & Economics > Business & management > Management & management techniques
Many fundamental technological and managerial issues surrounding
the development and implementation of intelligent analytics within
multi-industry applications remain unsolved. There are still
questions surrounding the foundation of intelligent analytics, the
elements, the big characteristics, and the effects on business,
management, technology, and society. Research is devoted to
answering these questions and understanding how intelligent
analytics can improve healthcare, mobile commerce, web services,
cloud services, blockchain, 5G development, digital transformation,
and more. Intelligent Analytics With Advanced Multi-Industry
Applications is a critical reference source that explores
cutting-edge theories, technologies, and methodologies of
intelligent analytics with multi-industry applications and
emphasizes the integration of artificial intelligence, business
intelligence, big data, and analytics from a perspective of
computing, service, and management. This book also provides
real-world applications of the proposed concept of intelligent
analytics to e-SMACS (electronic, social, mobile, analytics, cloud,
and service) commerce and services, healthcare, the internet of
things, the sharing economy, cloud computing, blockchain, and
Industry 4.0. This book is ideal for scientists, engineers,
educators, university students, service and management
professionals, policymakers, decision makers, practitioners,
stakeholders, researchers, and others who have an interest in how
intelligent analytics are being implemented and utilized in diverse
industries.
This book analyses the effect of biological risk on business
and management by considering case studies from Malaysia, Lebanon,
and G20 countries during the COVID-19 pandemic. Covering a wide
range of topics, such as effects of virus risk on corporate
sustainability, COVID-19 and CSR activities, governance
practices and regulations for derivative products in emerging
markets, risk management during a pandemic, and AI applications in
the health sector, this book assists top management in
redesigning business models and organisational management in a
post-pandemic world and in becoming better equipped to tackle
future biological risks or pandemic events.
This book presents the state-of-the-art, current challenges, and
future perspectives for the field of many-criteria optimization and
decision analysis. The field recognizes that real-life problems
often involve trying to balance a multiplicity of considerations
simultaneously – such as performance, cost, risk, sustainability,
and quality. The field develops theory, methods and tools that can
support decision makers in finding appropriate solutions when faced
with many (typically more than three) such criteria at the same
time. The book consists of two parts: key research topics,
and emerging topics. Part I begins with a general introduction to
many-criteria optimization, perspectives from research leaders in
real-world problems, and a contemporary survey of the attributes of
problems of this kind. This part continues with chapters on
fundamental aspects of many-criteria optimization, namely on order
relations, quality measures, benchmarking, visualization, and
theoretical considerations. Part II offers more specialized
chapters on correlated objectives, heterogeneous objectives,
Bayesian optimization, and game theory. Written by leading experts
across the field of many-criteria optimization, this book will be
an essential resource for researchers in the fields of evolutionary
computing, operations research, multiobjective optimization, and
decision science.
This book is an excellent resource for academics and students
interested in ethics and accountability in the public sector, as
well as for practitioners, NGO workers and policymakers. Over the
last decades, issues in ethical leadership have become central to
the global call for higher moral standards on the part of corporate
organisations and their leaders and managers. The book's chapters
investigate these concerns in Africa, where governance gaps often
reflect poor leadership. Parenthetically, in 2001, a UNDP report
found difficulties in applying anti-corruption laws and managing
public institutions in the continent. Twenty years on, significant
efforts have been made to improve the situation, yet extensive
challenges still subsist. In this first volume, contributors
discuss the practice of ethics, anti-corruption, and performance
management, and propose solutions, some general to the continent
and others country-specific.
Corporations need great leaders - particularly during times of
distress and crisis. Shareholders, employees, and longtime
customers all experience firsthand the disastrous effects poor
leadership can have on the human side of the business equation.
Leadership in the Eye of the Storm is a practical and inspirational
guide that helps professionals create opportunity out of chaos. The
book's insights are gleaned from the real life experiences of four
North American profiled leaders who successfully navigated through
the epicenter of their own storms by focusing first on the needs of
their employees and families, and then the needs of their
organizations. Events discussed include the 9/11 attacks, Hurricane
Katrina, and the SARS outbreak. Tibbo offers a framework emerging
from these narratives that enable future leaders to identify and
cultivate the skills and behaviours required to not only meet the
challenges but seize the opportunities that arise in times of
chaos.
|
You may like...
Business Cases
Sharon Rudansky-Kloppers
Paperback
(2)
R487
Discovery Miles 4 870
|