Language : English
Published : 2018-06-30
Pages : 450
Inclusive Fintech: Blockchain, Cryptocurrency and ICO
Cryptocurrency market has been growing fast since its emergence in recent years. Moreover, digital finance has forged the convergence of profit motives with social objectives creating a class of large FinTech companies. In addition, the underlying technology innovation may be applied to a wide range of industries, not limited to financial sector. Yet, few researches have been done to study these phenomena. Hence, it is the task of this book to shed light on the introduction and trends in FinTech, blockchain and token sales.
Inclusive FinTech: Blockchain, Cryptocurrency and ICO hopes to dispel the many misconceptions about blockchain and cryptocurrencies (especially bitcoin, Initial Crypto-Token Offering or ICO), as well as the idea that businesses can be sustainable without a social dimension going forward. It is written for those who are looking for a switch from their career to something more meaningful and sustainable, as well as those who want a deeper understanding of where to search for business opportunities. Most important of all, this book seeks to change the mindset of a whole new generation that is familiar with digital economy and yearns for a more just and equitable world.
Contents: Overview of FinTech; Digital Currency, Bitcoin and Cryptocurrency; Introduction to Initial
Crypto-Token Offering (ICO); The Characteristics of Token Investors; Blockchain: An Introduction;
Blockchain: A Technical Introduction; Inclusive FinTech; FinTech in Singapore; FinTech in ASEAN;
Regional Trends and FinTech Future;
Readership:Upper-division undergraduates, graduate students, and professionals working in
financial institutions and on financial technology worldwide.
Systematic introduction and analysis of token sales, the investors and blockchain
Illustration on Financial Inclusion and Impact Investment that would be the sought-after
asset classes of the future
Insightful analysis on FinTech in ASEAN
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The new edition of Essentials of Business Statistics delivers clear and understandable explanations of core business statistics concepts, making it ideal for a one-term course in business statistics. The author team emphasize the importance of interpreting statistical results to make effective decisions to improve business processes. The text offers real applications of statistics that are relevant to today’s business students which can be seen in the continuing case studies throughout the book. Continuing cases span throughout a chapter or even groups of chapters, easing students into new topic areas.
About the Author
Bruce L. Bowerman is a professor of decision sciences at Miami University in Oxford, Ohio. He received his Ph.D. degree in statistics from Iowa State University in 1974, and he has over 37 years of experience teaching basic statistics, regression analysis, time series forecasting, survey sampling, and design of experiments to both undergraduate and graduate students. In 1987 Professor Bowerman received an Outstanding Teaching award from the Miami University senior class, and in 1992 he received and Effective Educator award from the Richard T. Farmer School of Business Administration. Together with Richard T. O’Connell, Professor Bowerman has written 11 textbooks. These include Forecasting and Time Series: An Applied Approach and Forecasting, Time Series, and Regression: An Applied Approach (also coauthored with Anne B. Koehler); The first edition of Forecasting and Time Series earned an Outstanding Academic Book award from Choice magazine.
Richard T. O’Connell is an associate professor of decision sciences at Miami University in Oxford, Ohio. He has more than 32 years of experience teaching basic statistics, statistical quality control and process improvement, regression analysis, time series forecasting, and design of experiments to both undergraduate and graduate business students. In 2000 Professor O’Connell received an Effective Educator award from the Richard T. Farmer School of Business Administration. Together with Bruce L. Bowerman, he has written seven textbooks. These include Forecasting and Time Series: An Applied Approach and Linear Statistical Models: An Applied Approach. He is one of the first college instructors in the United States to integrate statistical process control and process improvement methodology into his basic business statistics course. He (with Professor Bowerman) has written several articles advocating this approach.
James Burdeane “Deane” Orris J.B. Orris is a professor of management science at Butler University in Indianapolis, Indiana. He received his Ph.D. from the University of Illinois in 1971, and in the late 1970s with the advent of personal computers, he combined his interest in statistics and computers to write one of the first personal computer statistics packages—MICROSTAT. Over the past 20 years, MICROSTAT has evolved into MegaStat, which is an Excel add-in statistics program. In 1999 he wrote an Excel book (Essentials: Excel 2000 Advanced) and has done work in neural networks, spreadsheet simulation, and statistical analysis for many research projects. He has taught statistics and computer courses in the College of Business Administration of Butler University since 1971. He is a member of the American Statistical Association and is past president of the Central Indiana Chapter. In his spare time, Professor Orris enjoys reading, working out, and working in his woodworking shop.
Quantitative Methods for Business Research: Using Microsoft® Excel® with CourseMate and eBook Access Card)1st Edition
About the Author
Gerard Duignan (BBc, DipTchg) has a background in radio programming and management. He combines his role as lecturer in radio at the New Zealand Broadcasting School with his research interest in documenting the history of New Zealand radio broadcasters.
This established and popular text is regarded as one of the clearest and most comprehensive in its field. David Eadson has joined Jon Curwin and Roger Slater in the author team, and together they have sought to offer a more compact book with all the qualities of the previous six editions, whilst strengthening the links to online support materials. The new edition has been enhanced to reflect the latest learning plans and techniques, providing students with all the tools they need to pass the typical Quantitative Methods course. Each chapter focuses on a selection of statistical techniques, illustrated with examples from across business, marketing, economics, finance, and public administration, to appeal to students across the business spectrum. Whilst all core material is covered in the book itself, the online offering has been bolstered to include Parts 6-8 covering ‘Modelling’, ‘Mathematical Topics’ and ‘Student Guides’ respectively, in addition to a wide range of other resources including datasets and extra learning tools. Visual signposts throughout the text guide the student to the online platform to provide a seamless interaction between the two thus providing a multi-faceted learning experience. The wide-ranging coverage provided makes this the ideal text for the teaching of quantitative methods across all business disciplines at undergraduate, MBA, and post-experience levels. This textbook is autopackaged with CourseMate. CourseMate brings course concepts to life with interactive learning, study, and exam preparation tools that support the printed textbook and the textbook-specific website. CourseMate includes an integrated eBook and interactive teaching and learning tools including quizzes, flashcards, videos, and more and an EngagementTracker, a first-of-its-kind tool that monitors student engagement in the course.
About the Author
Jon Curwin is Principal Lecturer in Business Analysis and Senior Learning and Teaching Fellow, Birmingham City Business School Roger Slater is Head of the Faculty Resources Centre for the Faculty of Law, Humanities and Social Sciences at the University of Central England, UK, and has been involved in teaching and examining quatitative topics for over 30 years. David Eadson is a Higher Education Consultant, formerly a Principal Lecturer in Statistics in the Teesside University Business School