الصفحة 9
الصفحة 9
Content Infrastructure management : Results of an empirical study in the print industry
Alexander Benlian explores the question of whether to centralize or to decentralize media content. The findings basically emphasize the need to design publishing organizations that follow certain patterns of congruency and consistency in order to realize greater effectiveness. These observed patterns or invariabilities may provide infrastructure managers with a benchmark against which to reassess the design of their own content allocation configuration. Aligned content infrastructures can be considered to dramatically increase the smoothness of content flows and to enhance production and bundling capabilities.
Contemporary issues in sustainable finance : Exploring performance, impact measurement and financial inclusion
This book sheds light on contemporary challenges in sustainable finance, addressing two key perspectives: measurement and performance, and products and business models. In particular, the volume examines theoretically and empirically the relations between business models and non-financial impact, both environmental and social.
Contemporary Empirical Methods in Software Engineering
This book presents contemporary empirical methods in software engineering related to the plurality of research methodologies, human factors, data collection and processing, aggregation and synthesis of evidence, and impact of software engineering research. The individual chapters discuss methods that impact the current evolution of empirical software engineering and form the backbone of future research.
Contemporary Developments in Entrepreneurial Finance : An Academic and Policy Lens on the Status-Quo, Challenges and Trends
Provides a contemporary research-based overview of the latest trends in entrepreneurial finance and outlines expected future developments. Starting with the status quo in market regulations and the financing structure of SMEs, it addresses a broad range of new financing alternatives for innovative startups (e.g. business angel financing, venture capital and corporate venture capital), as well as recent social phenomena (e.g. crowdfunding and initial coin offerings (ICOs)). Incorporating qualitative, quantitative and mixed analytical methods, the book contributes to a better understanding of the financing world by reflecting both the researcher’s and the practitioner’s perspective.
Consumption structure and macroeconomics : Structural change and the relationship between inequality and growth
This book offers a novel perspective that allows to incorporate changing consumption and production structure into models of economic growth. Starting from the empirical observation that income and consumption structure are closely related, it develops a tractable theoretical framework which enables to analyze macroeconomic models consistent with these empirical facts. As a result, central macroeconomic phenomena are better understood: the reasons behind long-run growth, structural change, and the influence of inequality on innovations and growth.
Consumer perception of food attributes
Objectives of this book is to summarize recent empirical findings from scholarly works on how consumers value food credence attributes. Such knowledge would benefit producers, processors, retailers, and policy makers. Another objective of this book is to discuss the effectiveness of the programs that have been introduced to strengthen the relationship between producers and consumers. Many programs have been developed to more effectively inform consumers regarding food production processes.
Consumer behavior, organizational strategy and financial economics ; Proceedings of the 21st eurasia business and economics society conference
Shows selected articles from the 21st Eurasia business and economics society (EBES) conference, Which was held in Budapest (Hungary) in 2017. The theoretical and empirical papers in this volume cover various areas of business, economics, and finance from a diverse range of regions. In particular, this volume focuses on the latest trends in consumer behavior, New questions in the development of organizational strategy, And the interaction of financial economics with industrial economics and policy.
Conceptual density functional theory : Towards a new chemical reactivity theory
This two-volume reference book shows how conceptual density functional theory can reconcile empirical observations within silico calculations using density functional theory, molecular orbital theory, and valence bond theory. The ability to predict properties like electronegativity, acidity/basicity, strong covalent and weak intermolecular interactions as well as chemical reactivity makes DFT directly applicable to almost all problems in applied chemistry, from synthetic chemistry to catalyst design and materials characterization.
Concepts, Frames and Cascades in Semantics, Cognition and Ontology
This book presents novel theoretical, empirical and experimental work exploring the nature of mental representations that support natural language production and understanding, and other manifestations of cognition. One fundamental question raised in the text is whether requisite knowledge structures can be adequately modeled by means of a uniform representational format, and if so, what exactly is its nature. Frames are a key topic covered which have had a strong impact on the exploration of knowledge representations in artificial intelligence, psychology and linguistics; cascades are a novel development in frame theory. Other key subject areas explored are: concepts and categorization, the experimental investigation of mental representation, as well as cognitive analysis in semantics. This book is of interest to students, researchers, and professionals working on cognition in the fields of linguistics, philosophy, and psychology.
Concentration inequalities and model selection ; Ecole d'Eté de Probabilités de Saint-Flour XXXIII - 2003
An overview of a non-asymptotic theory for model selection is given here and some selected applications to variable selection, change points detection and statistical learning are discussed. This volume reflects the content of the course given by P. Massart in St. Flour in 2003.
Computational intelligence in economics and finance ; Vol. II
Computational intelligence (CI), as an alternative to statistical and econometric approaches, has been applied to a wide range of economics and finance problems in recent years, for example to price forecasting and market efficiency. This book contains research ranging from applications in financial markets and business administration to various economics problems. Not only are empirical studies utilizing various CI algorithms presented, but so also are theoretical models based on computational methods. In addition to direct applications of computational intelligence, readers can also observe how these methods are combined with conventional analytical methods such as statistical and econometric models to yield preferred results.
Code-switching in Bilingual Children
The goal of this volume is to prove that mixed utterances in young bilinguals can be analyzed in the same way as adult code-switching. Analyzing a rich corpus of spontaneous child data, the author provides detailed empirical evidence for latest minimalist assumptions on the architecture of mind and confirms that code-switching is only constrained by the two grammars of the languages involved. The data show that the quantity of mixing in children depends on an individual choice rather than on language development, language dominance, or other factors. Besides critically reviewing the literature on language mixing in children and adults, this work offers a thorough grammatical analysis of the code-switching data of five Italian/German children. The book provides new insights not only in the field of code-switching and of language mixing in young bilinguals, but also in issues concerning general questions on linguistic theory which are difficult to be answered with monolingual data.
Marketing communications in emerging economies ; Vol. II : Conceptual issues and empirical evidence
Aims to share fascinating perspectives on marketing communications by discussing the shift in the power of public relations, and highlighting how the small and local use communication effectively to improve performance and shares useful lessons on how to communicate hope by responding to customer emotions during uncertainties. The book contains valuable lessons and insights on communicating corporate social responsibility, effective social media communication, enacting brand purpose through communication, and using aesthetics in point-of-purchase advertising to drive purchase intention.
Market Entry Strategies in Eastern Europe in the Context of the European Union : An Empirical Research into German Firms Entering the Polish Market
The preparations for market entry in a foreign country include various aspects and are influenced by factors inside and outside the firm. Based on face to face interviews with decision makers of 16 German firms Michael Klug analyses the applied strategy and the motivation for market entry and investigates different strategy theories like Porter's market based view for their suitability to explain the firms' strategy abroad. The author discusses the operational design including forms of market presence and marketing mix to realise a chosen strategy and shows the influence of the European Union as an institutional arrangement for firms preparing a venture abroad.
Managing product life cycle in a supply Chain Context : A prescription based on empirical research
The aim of this book is to provide a better understanding with as to how to coordinate and improve decisions about product life cycle, process and supply chain design to improve new product development.
Management accounting & control scales handbook
This manual is a comprehensive compilation of multi-item measures used in empirical research in the field of management accounting and control. Utz Schäffer describes all scales, including the psychometric qualities as well as samples which have been used, in great detail. Thus, the reader of this book can avoid reinventing the wheel as it will in many cases reduce the need to conceptualize, test, and validate a measure from scratch.
Making European Merger Policy More Predictable
Making European Merger Policy More Predictable analyses European Merger Control with regard to its capacity to generate predictability among the concerned parties. Starting from the premise that predictability is of overwhelming importance for the functioning of market economies, Voigt and Schmidt ask to what degree European Merger Control has been predictable over the last couple of years. The authors show both theoretically and empirically that there have been serious shortcomings with regard to the predictability of competition policy. They identify the insufficient recognition of the consequences of globalization on the competitive processes as well as an often inconsistent application of economic theory as the root causes for the lack of predictability. The inconsistent application of economic theory is particularly relevant with regard to potential competition and the evaluation of collective dominance. The authors generate a substantial number of proposals that could help to improve predictability. On this basis, Voigt and Schmidt critically assess the recent reforms of European Merger Control.
Macrosocial Determinants of Population Health
Macrosocial Determinants of Population Health explores social factors such as culture, mass media, political systems, and migration that influence population health while systematically considering how we may best study these factors and use our knowledge from this study to guide public health interventions.Each section ends with Galea’s integrative chapters, bringing the observations and conclusions from the chapters into clear, usable focus. Macrosocial Determinants of Population Health is a work of major theoretical, empirical, and practical interest for disciplines as varied as public health, epidemiology, health promotion, sociology, and health policy. Its systematic field-building approach makes it as valuable to the public health provider as to the scholars and students studying the health of populations.
Machine learning and big data : Concepts, algorithms, tools and applications
Showcase novel use-cases and applications, present empirical research results from user-centered qualitative and quantitative experiments of these new applications, and facilitate a discussion forum to explore the latest trends in big data and machine learning by providing algorithms which can be trained to perform interdisciplinary techniques such as statistics, linear algebra, and optimization and also create automated systems that can sift through large volumes of data at high speed to make predictions or decisions without human intervention
Long-Run Growth Forecasting
Explores how to set up an empirical model that helps with forecasting long-term economic growth in a large number of countries. It offers a systematic approach to models of potential GDP that can also be used for forecasts of more than a decade. It is an attempt to fill the wide gap between the high demand for such models by commercial banks, international organizations, central banks and governments on the one hand and the limited supply on the other hand. Frequent forecast failures in the past (e.g. Japan 1990, Asia 1997) and the heavy economic losses they produced motivated the work. The book assesses the large number of different theories of economic growth, the drivers of economic growth, the available datasets and the empirical methods on offer. A preference is shown for evolutionary models and an augmented Kaldor model. The book uses non-stationary panel techniques to find pair-wise cointegration among GDP per capita and its main correlates such as physical capital, human capital and openness.
