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Approaching consumer culture : Global flows and local contexts
This collection analyzes the impact of Western consumer culture on local cultures and consumption in Southeast Europe and East Asia. Cultural, historical, economic and sociopolitical contexts are examined regarding buying behaviors, usage and customization practices and consumer activism, specifically in Bulgaria, Serbia, and Romania as cultures continue to evolve in the post-socialist era, and in China and Japan as a continuation of movements toward modernity and progress. Surprising and thought-provoking contrasts stand out as consumers balance the global with the local in terms of clothing, technology, luxury items, and food.
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.
Applied Research in Environmental Economics
Sustainable development, climate policy, and biodiversity conservation are examples of issues on the current political agenda in many countries. These themes are also subject to economic research, and economic insights are increasingly finding their way into the design of environmental policy. Still, the reception of academic findings by policy makers as well as the timely identification of policy-relevant questions by economic researchers often seem to be problematic. This volume attempts to vitalise the exchange between policy makers and academics. It offers a snapshot of environmental economic research on a range of policy-relevant problems.
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.
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 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.
Americanization of the European Economy : A compact survey of American economic influence in Europe since the 1800s
Provides a comprehensive yet compact survey of the growth of American economic influence in Europe since the 1880s. Three distinct but cumulative waves of Americanization are identified. Americanization was (and still is) a complex process of technological, political, and cultural transfer, and this overview explains why and how the USA and the American model of industrial capitalism came to be accepted as the dominant paradigm of political economy in today's Europe. Americanization of the European Economy summarizes the ongoing discussion by business historians, sociologists, and political scientists and makes it accessible to all types of readers who are interested in political and economic development.
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.
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.
AI Strategy for sales and marketing : Connecting marketing, sales and customer experience
AI Strategy for Sales and Marketing presents a framework for understanding how AI can boost customer-centricity and sales by creating a connected strategy that delivers value today and into the future. Supported by practical tips and advice throughout, it covers topics including personalization, upskilling, customer experience for both on and offline shopping channels and the importance of using AI responsibly to create consumer trust.
AI in marketing, sales and service : How marketers without a data science degree can use AI, big data and bots
Shows you: how customer and market potential can be automatically identified and profiled; how media planning can be intelligently automated and optimized with AI and Big Data; how (chat)bots and digital assistants can make communication between companies and consumers more efficient and smarter; how you can optimize Customer Journeys based on Algorithmics and AI; and how to conduct market research in more efficient and smarter way.
AI in marketing : Applications, insights, and analysis
AI in marketing equips students with the knowledge to understand the impact of artificial intelligence (AI) on marketing strategies, processes, and activities, empowering them to navigate the AI-driven marketing landscape confidently. divided into four parts, it provides a comprehensive exploration of AI's transformative role in marketing. the first part lays the groundwork, offering foundational insights into the intersection of AI and marketing. Part II explores the various applications of AI in marketing, and the tools marketers use to optimize their processes and deliver enhanced customer experiences. the third part focuses on leveraging AI for consumer insights, enabling marketers to craft data-driven strategies. the final part examines ethical considerations and the pedagogical integration of AI into marketing education.
Agriculture for Economic Development in Africa : Evidence from Ethiopia
This book explores the role of agriculture in long-term economic growth. With a particular focus on Ethiopia, the role of the state in igniting agricultural growth and in sustaining economic growth is highlighted as essential for low-income countries. Taking ideas from both economic history and development economics, the ability of Ethiopia and the rest of Africa to sustain recent rapid growth into something that can tackle the development agenda is discussed, alongside policy suggestions.
Agricultural value chains in India : Ensuring competitiveness, inclusiveness, sustainability, scalability, and improved finance
This book provides a clear holistic conceptual framework of CISS-F (competitiveness, inclusiveness, sustainability, scalability and access to finance) to analyse the efficiency of value chains of high value agricultural commodities in India. It is based on the understanding that agriculture is an integrated system that connects farming with logistics, processing and marketing. Farmer’s welfare being central to any agricultural policy makes it very pertinent to study how a value chain works and can be strengthened further to realize this policy goal.
Agricultural biodiversity and biotechnology in economic development
The topics addressed in this book are of vital importance to the survival of humankind. Agricultural biodiversity, encompassing genetic diversity as well as human knowledge, is the base upon which agricultural production has been built, and protecting this resource is critical to ensuring the capacity of current and future generations to adapt to unforeseen challenges. Agricultural biodiversity underpins the productivity of all agricultural systems and is particularly important for poor and food-insecure farmers, who maintain highly diverse production systems in response to the marginal and risky production conditions they operate under. Understanding the importance of agricultural biodiversity in the livelihoods of the food insecure and enhancing its performance through the use of a variety of tools, including biotechnology, is a critically important issue in the world today
Agile Marketing Performance Management : 10 Success Factors for Maximizing Marketing ROI Dynamically
Helps marketing decision makers in allocating their budget to diverse communication channels and different business units in an ROI-optimal way, and to adapt it in an agile manner.
