Refine Results
Sort By
From
To
Page 22
Page 22
Business statistics : Communicating with numbers
Takes a comprehensive and contemporary approach that aims to bridge the gap between how statistics is taught and applied in the business world. this title not only prepares students in basic statistics but also gets them excited about further exploration of data analytics. the authors emphasize communicating with numbers rather than number crunching, through relatable case studies with relevant statistical methods and takeaways. this title incorporates timely examples from various fields, reinforces core features from previous editions, uses Excel and R to analyze data and solve problems, and includes new improvements, such as a revised chapter on data visualization, an exclusive chapter on logistic regression, and digital enhancements such as a big data capstone project with algorithmic exercises that span across multiple chapt.
Business Education and Emerging Market Economies : Perspectives and Best Practices
Business Education in Emerging Market Economies discusses the impact of business education on emerging markets and explores curricular innovation, pedagogical approaches, and strategic alliances in the context of industrializing economies. Emerging markets consist of eighty percent of the world's population and some 75% of its trade growth in the foreseeable future according to the U.S. Department of Commerce. The potential economic growth of emerging markets has prompted a need to understand the dynamics of these markets, their business institutions, and their educational systems. The pressures of globalization and the recent economic reforms that swept across emerging, developing, and transitioning, economies have had a positive impact on the demand for business education and business knowledge from the developed and industrialized countries. As a result, many methods were developed to transfer know-how from the developed markets including learning through imitation, using western style pedagogical approaches, attending universities in industrialized countries, learning through experience and practice, and using information technology. The conclusion we reach is that business and management education in emerging markets is fast changing the way in which these markets operate and are perceived – business educators are catalysts for greater economic integration.
Building a Cashless Society : The Swedish Route to the Future of Cash Payments
This book tells the story of how Sweden is becoming a virtually cashless society. Its goal is to improve readers’ understanding of what is driving this transition, and of the factors that are fostering and hampering it. In doing so, the book covers the role of central banks, political factors, needs for innovation, and the stakeholders involved in developing a cashless ecosystem. Adopting a historical standpoint, and drawing on a unique dataset, it presents an academic perspective on Sweden’s leading role in this global trend. The global interest in the future of cash payments makes the Swedish case particularly interesting. As a country that is close to becoming a cashless economy, it offers a role model for many other countries to learn from - whether they want to stimulate or reduce the use of cash. This highly topical book will be of interest to politicians, researchers, businesses, financial service providers and payment service providers, as well as fintech start-ups, regulators and other authorities.
Bright modernity : Color, commerce, and consumer culture
Color is a visible technology that invisibly connects so many puzzling aspects of modern Western consumer societies research and development, making and selling, predicting fashion trends, and more. Building on Regina Lee Blaszczyk’s go-to history of the “color revolution” in the United States, This book explores further transatlantic and multidisciplinary dimensions of the topic. Covering history from the mid nineteenth century into the immediate past, it examines the relationship between color, commerce, and consumer societies in unfamiliar settings and in the company of new kinds of experts. Readers will learn about the early dye industry, the dynamic nomenclature for color, and efforts to standardize, understand, and educate the public about color.
Brand hate : Navigating consumer negativity in the digital world, 2nd
Focuses on the concept of “brand hate” and consumer negativity in today’s digital markets. It explores the emotional detachment consumers generate against valued brands and how negative experiences affect their and other consumers' loyalty. The book defines consumer brand hate and discusses its dimensions, antecedents, and consequences as well as the semiotics and legality of such brand hate activities based on current brand dilution arguments. It describes the situations which lead to anti-branding and how consumers choose to express their dissatisfaction with a company on individual and social levels. This newly updated edition discusses recent research findings from brand hate literature with new cases and extended managerial analysis.
Boss It : Control Your Time, Your Income and Your Life
In this invigorating and highly practical book, serial entrepreneur Carl Reader provides exactly the fire and guidance you need to get started. Designed to cut through the business jargon, this handy guide will take you through everything you need to establish and run your own business - from the mindset it takes to turn a dream into a plan, to the need-to-know practical stuff for running and growing a business.
Big Data Science in Finance
Explains the mathematics, theory, and methods of Big Data as applied to finance and investing Examines the mathematics, theory, and practical use of the revolutionary techniques that are transforming the industry. Designed for mathematically-advanced students and discerning financial practitioners alike, this energizing book presents new, cutting-edge content based on world-class research taught in the leading Financial Mathematics and Engineering programs in the world. Marco Avellaneda, a leader in quantitative finance, and quantitative methodology author Irene Aldridge help readers harness the power of Big Data. Provides a complete account of Big Data that includes proofs, step-by-step applications, and code samples Explains the difference between Principal Component Analysis (PCA) and Singular Value Decomposition (SVD) Covers vital topics in the field in a clear, straightforward manner Compares, contrasts, and discusses Big Data and Small Data Includes Cornell University-tested educational materials such as lesson plans, end-of-chapter questions, and downloadable lecture slides
Beyond Safety Training : Embedding Safety in Professional Skills
Investigates why, despite more and more resources devoted to safety training, expectations are not entirely met, particularly in the industrial sectors that have already achieved a high safety level. It not only reflects the most precious viewpoints of experts from different disciplines, different countries, with experiences in various industrial fields at the cutting edge of theories and practices in terms of safety, professionalization and their relationships. It also consolidates the positioning of the Foundation for an Industrial Safety Culture, highlighting what is currently considered at stake in terms of safety training, taking into account the system of constraints the different stakeholders are submitted to. It reports some success stories as well as elements which could explain the observed plateau in terms of outcome. It identifies some levers for evolution for at-risk industry and outlines a possible research agenda to go further with experimental solutions.
Behavioral competencies of digital professionals : Understanding the role of emotional intelligence
Shedding new light on the human side of big data through the lenses of emotional and social intelligence competencies, this book advances the understanding of the requirements of the different professions that deal with big data. It also illustrates the empirical evidence collected through the application of the competency-based methodology to a sample of data scientists and data analysts, the two most in-demand big data jobs in the labor market.
Asian economy and finance : A post-crisis perspective
Topicality of Asian economy has refused to fade for almost four decades; if anything it has been levitating. The Asian economy has changed markedly since the economic and financial crisis of 1997-1998 and is continuing to evolve. As a scholarly subject matter, Asian economy has not stopped attracting academicians, policy mandarins, decision makers in the arena of business and students of Asian economy. The Asian crisis was a cataclysmic event for the region and brought to the surface several systemic limitations, like those in the financial sector, corporate governance, regulatory oversight, legal framework, and exchange rate management. Managers of Asian economy need to get to the bottom of these acutely problematical systemic issues. Additionally, Asian economies need to change with the demands of time and devise their post-crisis development strategy. Asia’s growth model, that served it so well for four decades, is overdue for renewal so that it can re-strengthen its bonds with the ever-evolving regional and global economic reality. The old growth model is likely to be less relevant and effective in the post-crisis future of the Asian economies. It is sure to run into the wall of diminishing returns.
Artificial markets modeling : Methods and applications
Agent-based computational modeling with its intrinsic multidisciplinary approach is gaining increasing recognition in the social sciences, particularly in economics, business and finance. This volume is devoted to recent contributions to the field from both the social sciences and computer sciences.
Artificial Intelligence and COVID Effect on Accounting
This book considers the effects of COVID-19 on accounting, particularly with regard to the role of artificial intelligence in accounting in the post-pandemic business environment. The contributions in the book consider a variety of sectors that have been affected by the pandemic, such as the stock market, forensic accounting, Bitcoin, as well as the economic and educational responses to the pandemic and the aftermath felt by both developing and developed countries.
Applied Research in Uncertainty Modeling and Analysis
For a long time uncertainty has been considered synonymous with random, stochastic, statistic, or probabilistic. Since the early sixties views on uncertainty have become more heterogeneous. In the past forty years numerous tools that model uncertainty, above and beyond statistics, have been proposed by several engineers and scientists. The tool/method to model uncertainty in a specific context should really be chosen by considering the features of the phenomenon under consideration, not independent of what is known about the system and what causes uncertainty. In this fascinating overview of the field, the authors provide broad coverage of uncertainty analysis/modeling and its application. Applied Research in Uncertainty Modeling and Analysis presents the perspectives of various researchers and practitioners on uncertainty analysis and modeling outside their own fields and domain expertise. Rather than focusing explicitly on theory, the authors use real-world examples to demonstrate the strength of the chosen methodology. Applied Research in Uncertainty Modeling and Analysis concentrates on general aspects of uncertainty, modeling, and methods, and focuses on various applications, included Biomedical Engineering, Chemical Engineering, Structural Engineering, and Transportation Engineering.
Applications of simulation methods in environmental and resource economics
Simulation methods are revolutionizing the practice of applied economic analysis. This volume collects eighteen chapters written by leading researchers from prestigious research institutions the world over. The common denominator of the papers is their relevance for applied research in environmental and resource economics. The topics range from discrete choice modeling with heterogeneity of preferences, to Bayesian estimation, to Monte Carlo experiments, to structural estimation of Kuhn-Tucker demand systems, to evaluation of simulation noise in maximum simulated likelihood estimates, to dynamic natural resource modeling. Empirical cases are used to show the practical use and the results brought forth by the different methods.
Antecedents of venture firms' internationalization : A conjoint analysis of international entrepreneurship in the net economy
With the continuing dispersion of the global digital network and performance improvements of information and communication technologies, resource-poor start-ups with online business models have emerged in large numbers. These firms are able to deploy their competitive advantages across their country borders early in their life-cycle and engage in international commerce at a fast pace. An increased immediacy between the firms and the globally accessible customer is observed. Julia Christofor’s study aims to analyze the conditions of the initial internationalization decision in the Net Economy. Based on Information Systems, International Entrepreneurship, and Entrepreneurship literature, factors, which constitute the internationalization propensity, are derived. The results of this study suggest that a holistic perspective including the founder, business model and the firm level should be considered when explaining the internationalization propensity of entrepreneurs.
Analysis, Control and Optimization of Complex Dynamic Systems
Analysis, Control and Optimization of Complex Dynamic Systems gathers in a single volume a spectrum of complex dynamic systems related papers written by experts in their fields, and strongly representative of current research trends. Complex systems present important challenges, in great part due to their sheer size which makes it difficult to grasp their dynamic behavior, optimize their operations, or study their reliability. Yet, we live in a world where, due to increasing inter-dependencies and networking of systems, complexity has become the norm. With this in mind, the volume comprises two parts. The first part is dedicated to a spectrum of complex problems of decision and control encountered in the area of production and inventory systems. The second part is dedicated to large scale or multi-agent system problems occurring in other areas of engineering such as telecommunication and electric power networks, as well as more generic context.
Analysis and Algorithms for Service Parts Supply Chains
Services requiring parts has become a $1.5 trillion business annually worldwide, creating a tremendous incentive to manage the logistics of these parts efficiently by making planning and operational decisions in a rational and rigorous manner. This book provides a broad overview of modeling approaches and solution methodologies for addressing service parts inventory problems found in high-powered technology and aerospace applications. The focus in this work is on the management of high cost, low demand rate service parts found in multi-echelon settings. This unique book, with its breadth of topics and mathematical treatment, begins by first demonstrating the optimality of an order-up-to policy [or (s-1,s)] in certain environments. This policy is used in the real world and studied throughout the text. The fundamental mathematical building blocks for modeling and solving applications of stochastic process and optimization techniques to service parts management problems are summarized extensively. A wide range of exact and approximate mathematical models of multi-echelon systems is developed and used in practice to estimate future inventory investment and part repair requirements.
An Introduction to Efficiency and Productivity Analysis
It is designed to be a "first port of call" for people wishing to study efficiency and productivity analysis. The book provides an accessible introduction to the four principal methods involved: econometric estimation of average response models; index numbers; data envelopment analysis (DEA); and stochastic firontier analysis (SFA). For each method, we provide a detailed introduction to the basic concepts, give some simple numerical examples, discuss some of the more important extensions to the basic methods, and provide references for further reading. In addition, we provide a number of detailed empirical applications using real-world data.
An annotated timeline of operations research: An informal history
An Annotated Timeline of Operations Research: An Informal History recounts the evolution of Operations Research (OR) as a new science - the science of decision making. Arising from the urgent operational issues of World War II, the philosophy and methodology of OR has permeated the resolution of decision problems in business, industry, and government. The Timeline chronicles the history of OR in the form of self-contained, expository entries. Each entry presents a concise explanation of the events and people under discussion, and provides key sources where further relevant information can be obtained. In addition, books and papers that have influenced the development of OR or helped to educate the first generations of OR academics and practitioners are cited throughout the book.
Amartya Sens Capability Approach: Theoretical Insights and Empirical Applications
Kuklys examines how Nobel Prize-winning economist Amartya Sen’s approach to welfare measurement can be put in practice for poverty and inequality measurement in affluent societies such as the UK. Sen argues that an individual’s welfare should not be measured in terms of her income, but in terms what she can actually do or be, her capabilities. In Chapters 1 and 2, Kuklys describes the capability approach from a standard welfare economic point of view and provides a comprehensive literature review of the empirical applications in this area of research. In the remaining chapters, novel econometric techniques are employed to operationalise the concepts of functionings and capability to investigate inequality and poverty in terms of capability in the UK. Kuklys finds that capability measurement is always a useful complement to traditional monetary analysis, and particularly so in the case of capability-deprived disabled individuals.
