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الصفحة 8
الصفحة 8
Business Models and Corporate Reporting : Defining the Platform to Illustrate Value Creation
This book discusses the role of business models in corporate reporting. It illustrates the evolution of non-financial reporting, the importance of business model reporting, and the main conceptualisations of business models. It also offers a methodological contribution to the assessment of business model reporting. Finally, it discusses the main implication of business model reporting for different categories of subjects and some challenges related to this kind of disclosure
Business cycle dynamics : Models and tools
Business cycle theory has been one of the fastest growing fields in modern nonlinear economic dynamics. The book is centered around models of multiplier-accelerator type, emerging from Samuelson's seminal work, later developed into nonlinear formats by Hicks and Goodwin. These models left open ends, as the tools then available did not permit more systematic analysis.
Building intuition : Insights from basic operations management models and principles
"‘This user-friendly book will help the reader to develop insights with respect to a number of models that are important in the study and practice of operations management’. … all the chapters are extremely well written and a pleasure to read. … This would be a good book to use as a text in any operations management course, and in particular for operations management courses which are part of a ‘liberal studies’ program. It would also be good book for managers … ." (R Bharath, Journal of the Operational Research society, Vol. 60 (7), 2009)
Bond Portfolio Optimization
1 The tools of modern portfolio theory are in general use in the equity markets, either in the form of portfolio optimization software or as an accepted frame- 2 work in which the asset managers think about stock selection. In the ?xed income market on the other hand, these tools seem irrelevant or inapplicable. Bond portfolios are nowadays mainly managed by a comparison of portfolio 3 4 risk measures vis ¶a vis a benchmark. The portfolio manager’s views about the future evolution of the term structure of interest rates translate th- selves directly into a positioning relative to his benchmark, taking the risks of these deviations from the benchmark into account only in a very crude 5 fashion, i.e. without really quantifying them probabilistically. This is quite surprising since sophisticated models for the evolution of interest rates are commonly used for interest rate derivatives pricing and the derivation of ?xed 6 income risk measures.
Bio-inspired credit risk analysis : Computational intelligence with support vector machines
Credit risk analysis is one of the most important topics in the field of financial risk management. Due to recent financial crises and regulatory concern of Basel II, credit risk analysis has been the major focus of financial and banking industry. Especially for some credit-granting institutions such as commercial banks and credit companies, the ability to discriminate good customers from bad ones is crucial. The need for reliable quantitative models that predict defaults accurately is imperative so that the interested parties can take either preventive or corrective action. Hence credit risk analysis becomes very important for sustainability and profit of enterprises. In such backgrounds, this book tries to integrate recent emerging support vector machines and other computational intelligence techniques that replicate the principles of bio-inspired information processing to create some innovative methodologies for credit risk analysis and to provide decision support information for interested parties.
B2B eCommerce : Basics, Business Models and Best Practices in Business-to-Business Online Trade
Covers the basics of business-to-business (B2B) eCommerce, where similar principles of customer targeting can be observed as in B2C eCommerce. Gerrit Heinemann highlights the specifics and business models of B2B eCommerce, analyzes the digital challenges and shows the consequences and opportunities for online sales in B2B. Recognised best-practice examples illustrate how successful B2B eCommerce can work and which risks have to be considered.
Asset prices, booms and recessions : Financial economics from a dynamic perspective
Studies the interaction of the financial market, economic activity and the macroeconomy from a dynamic perspective. The financial market to be studied here encompasses the money and bond market, credit market, stock market and foreign exchange market. Economic activity is described by the activity of firms, banks, households, governments and countries. The book shows how economic activity affects asset prices and the financial market and how asset prices and financial market volatility feed back to economic activity. The focus in this book is on theories, dynamic models and empirical evidence.
ARIS design platform : Getting started with BPM
Containing tips, techniques and short cuts gained from practical experience, this book show how to use ARIS in an easy way, supporting smart methods and smart models, and displays how ARIS can be used as a powerful tool for BPM.
Applied Econometrics with R
This is the first book on applied econometrics using the R system for statistical computing and graphics. It presents hands-on examples for a wide range of econometric models, from classical linear regression models for cross-section, time series or panel data and the common non-linear models of microeconometrics such as logit, probit and tobit models, to recent semiparametric extensions. In addition, it provides a chapter on programming, including simulations, optimization, and an introduction to R tools enabling reproducible econometric research.
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 of microdata
The availability of microdata has increased rapidly over the last decades, and standard statistical and econometric software packages for data analysis include ever more sophisticated modeling options. The goal of this book is to familiarize readers with a wide range of commonly used models, and thereby to enable them to become critical consumers of current empirical research, and to conduct their own empirical analyses.
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.
Ambiguities in Decision-oriented Life Cycle Inventories: The Role of Mental Models and Values
Shows for the first time how mental models and values influence this attribution in the life cycle inventory step of LCA. One of the key findings is that the different management rules for a sustainable use of materials must be taken into account for the attribution of material and energy flows to a product. Otherwise, improvement options recommended by an LCA might turn out to even worsen the environmental situation if reassessed from a meta-perspective. As a consequence of this book, the claim of unambiguitiy (‘objectivity’) of the life cycle inventory must be abandoned. A group-model building process for LCA is developed that allows one to grasp the decision makers' mental models and values in the inventory analysis on a case- and situation-specific basis. Only by this, LCA results will become relevant in a decision-making process. Two case studies on the modelling of recycling and other end-of-life options of aluminium windows and beech wood railway sleepers in LCA complement the methodological part.
Agent-Based Models of Energy Investment Decisions
This book demonstrates how bounded rational decision models can be standardized and parameterized by socio-economic data. Focusing on private energy technology investment decisions, the author shows how different representative agents can be constructed using search rules, analysis tools and decision strategies. Diffusion curves for energy technologies such as solar collectors, boilers and efficiency upgrades for buildings are calculated. Further, the model is extended to study the impact of firms’ competition on technology diffusion. The modeling approach presented in this book may serve as a template for applications in other domain.
Agent-based computational modelling : Applications in demography, social, economic and environmental sciences
The present book describes the methodology to set up agent-based models and to study emerging patterns in complex adaptive systems resulting from multi-agent interaction. It offers the application of agent-based models in demography, social and economic sciences and environmental sciences. It presents and combines different approaches how to implement agent-based computational models and tools in an integrative manner that can be extended to other cases.
Advertising management : Concepts, theories, research and trends
Explores the concept of advertising and the different ways advertising is understood and evaluated. It dives deep into planning, designing, and executing advertising campaigns on different mediums. It discusses the theoretical and research parts of advertising by critically examining how over the years various hierarchical models and theories are developed by advertising experts. It examines various models and theories that explain why and how advertising is successful in persuading customers target audiences to buy a product or accept an idea for behavioural change.
Advances in Crowdfunding : Research and Practice
This book presents a comprehensive and up-to-date collection of knowledge on the state of crowdfunding research and practice. It considers crowdfunding models and their different manifestations across a variety of geographies and sectors, and explores the perspectives of fundraisers, backers, platforms, and regulators.
Advanced REIT Portfolio Optimization : Innovative Tools for Risk Management
This book provides an investor-friendly presentation of the premises and applications of the quantitative finance models governing investment in one asset class of publicly traded stocks, specifically real estate investment trusts (REITs). The models provide highly advanced analytics for REIT investment, including: portfolio optimization using both historic and predictive return estimation; model backtesting; a complete spectrum of risk assessment and management tools with an emphasis on early warning systems, risk budgeting, estimating tail risk, and factor analysis; derivative valuation; and incorporating ESG ratings into REIT investment.
Adaptive Information Systems and Modelling in Economics and Management Science
Learning and adaption are key features of "real economies". Studying interesting real phenomena like innovation, industry evolution or the role of expectation formulation in financial markets thus necessitates novel methods of data analysis and modelling. This title covers statistical models of heterogeneity, artificial consumer markets, models of adaptive expectation formulation in financial markets and agent-based models of industry evolution, product diversification and energy markets. The joint findings are presented in a manner that is interesting both for readers with a background in economics/management and mathematics and statistics and also for non-expert readers because it allows them to grasp the ideas of modern management science. This book thus provides a unique integrated toolbox for building realistic agent-based models of learning and adaption in a variety of settings based on sound data analysis.
