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Data analysis and machine learning are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as web and text mining, marketing, medical science, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning and applications presented during the 31st Annual Conference of the German Classification Society (Gesellschaft für Klassifikation - GfKl). The conference was held at the Albert-Ludwigs-University in Freiburg, Germany, in March 2007.
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Reputation has become an essential strategic asset for companies. Those businesses that enjoy a good reputation are able to differentiate themselves, thus attracting investments and retaining customers and employees, while at the same time, stakeholders of such companies demonstrate higher levels of satisfaction and loyalty towards the companies’ products and brands. Currently, corporate reputation is one of the most popular non-financial indicators used by organizations, both in the public and private sectors. This book is an in-depth investigation of the psychosocial nature of corporate reputation, and we invite the reader to join us on a journey of discovery. When reputation first appea...
This book focuses on exploratory data analysis, learning of latent structures in datasets, and unscrambling of knowledge. Coverage details a broad range of methods from multivariate statistics, clustering and classification, visualization and scaling as well as from data and time series analysis. It provides new approaches for information retrieval and data mining and reports a host of challenging applications in various fields.
Taking a data-driven approach, A Course on Statistics for Finance presents statistical methods for financial investment analysis. The author introduces regression analysis, time series analysis, and multivariate analysis step by step using models and methods from finance. The book begins with a review of basic statistics, including descriptive statistics, kinds of variables, and types of data sets. It then discusses regression analysis in general terms and in terms of financial investment models, such as the capital asset pricing model and the Fama/French model. It also describes mean-variance portfolio analysis and concludes with a focus on time series analysis. Providing the connection between elementary statistics courses and quantitative finance courses, this text helps both existing and future quants improve their data analysis skills and better understand the modeling process.
Edited in collaboration with the Academy of Marketing Science, this book contains the full proceedings of the 2014 Academy of Marketing Science World Marketing Congress held in Lima, Peru. The key challenge for marketers during the last two decades has been assuring high satisfaction and strong customer loyalty. Today, consumers’ ever-changing desires, instantaneous communication through social media and mobile technology and an unstable global economic climate all come together to stir up market turbulence. This volume explores how traditional and modern marketing practices facilitate development of new and innovative products, help create increased product/service differentiation, ensure...
Delivery speed is one of the most important factors influencing consumer decision-making in e-commerce. Retailers have responded by continuously decreasing their average delivery times. This trend towards faster delivery has led to the emergence of a new business model that is transforming online-to-offline markets by providing a new time-critical service: Quick commerce promises to deliver products to consumers within minutes, ensuring almost immediate gratification of instant consumer needs. The main objective of this cumulative dissertation is to provide a better understanding of delivery time in quick commerce and its impact on consumer behavior. To this end, the author presents three in...
In four empirical studies, this cumulative work provides valuable insights for marketing executives of statutory health insurance funds and social media responsible. Paper I and II provide evidence about the importance and interplay of price and corporate reputation on the market of statutory health insurance. The second part changes perspective to corporate communication issues in the social media environment. By introducing the “social media brand value chain” paper III conducts a literature review of state of the art social media research. By means of a field experiment on Facebook, paper IV shows that brands do not necessarily have to communicate via their brand fan pages in a highly interactive and vivid way to positively influence attitudinal measures among their fan base.
• ... release reputation bearers from the burden of being constantly mo- tored and reduce the likelihood of government or public supervision and control. • ... strengthen client trust, ease the recruitment and retention of capable employees and improve access to capital markets or attract investors. • ... legitimate positions of power and build up reserves of trust which - lowed companies and politicians – but also researchers and journalists – to put their issues on the public agenda, present them credibly and mould them in their own interests. But a fear of loss is not the only reason for the steadily increasing - portance of reputation in corporate management today (or more espe...
Sustainability advanced to an omnipresent topic among academics and business leaders, while at the same time, a growing share of a firm’s total expenditure accounts for purchased products and materials. Even though suppliers become increasingly important for their buyers with regards to sustainability, academic research still lacks a detailed understanding of how sustainability considerations affect the relationship between buyers and suppliers. Thomas Leppelt contributes to extant sustainability literature across the research disciplines of supply chain management, management and marketing by cross-functionally investigating the effects of sustainability on supplier-buyer relationships...