Описание: Global economic scenarios are increasing in complexity due to the recent global financial crisis, globalization, the evolution of ICT, and the changing behaviors of consumers. This has made it difficult to predict trends and build strategies within the retail industry. As a result, long-term forecasts and schedules are not possible, and more research is needed to explore today’s consumer profile and set the frameworks for future recovery strategies. Predicting Trends and Building Strategies for Consumer Engagement in Retail Environments is a pivotal reference source that provides practical insights into improving the understanding of complex retail environments and consumer shopping behaviors in order to predict trends and develop strategies for retailers in times of economic crisis. While highlighting topics such as consumer engagement, industry models, and market globalization, this publication explores qualitative and quantitative methods of interest and the multidisciplinary approaches revolving around the industry. This book is ideally designed for marketers, managers, practitioners, retail professionals, academicians, researchers, and students seeking current research on relationship marketing, digital marketing, service management, and complexity theories.
Описание: Provides insights into improving the understanding of complex retail environments and consumer shopping behaviours in order to predict trends and develop strategies for retailers in times of economic crisis. The book explores qualitative and quantitative methods of interest and the multidisciplinary approaches revolving around the industry.
Автор: David G McMillan Название: Predicting Stock Returns ISBN: 3319690078 ISBN-13(EAN): 9783319690070 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a comprehensive analysis of asset price movement. It examines different aspects of stock return predictability, the interaction between stock return and dividend growth predictability, the relationship between stocks and bonds, and the resulting implications for asset price movement.
Описание: Current book compares the techniques and models used to estimate the RUL of different assets including review of the relevant literature on prognostic techniques and their use in the industrial field. It describes different approaches and prognosis methods for different assets backed up by appropriate case studies.
Автор: David Beirau Название: Which Customers Pay? ISBN: 3658281367 ISBN-13(EAN): 9783658281366 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The main goal of this book is explaining which customers create value for suppliers and thereby realizes a better understanding of how suppliers can improve their revenue for value proposition and value creation in industrial markets.
Автор: Peter Hingley; Marc Nicolas Название: Forecasting Innovations ISBN: 3642071538 ISBN-13(EAN): 9783642071539 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is a practical guide to solutions for forecasting demand for services and products in international markets - and much more than just a listing of dry theoretical methods. Leading experts present studies on improving methods for forecasting numbers of incoming patent filings at the European Patent Office.
Описание: This book enables readers to understand, model, and predict complex dynamical systems using new methods with stochastic tools. The author presents a unique combination of qualitative and quantitative modeling skills, novel efficient computational methods, rigorous mathematical theory, as well as physical intuitions and thinking. An emphasis is placed on the balance between computational efficiency and modeling accuracy, providing readers with ideas to build useful models in practice. Successful modeling of complex systems requires a comprehensive use of qualitative and quantitative modeling approaches, novel efficient computational methods, physical intuitions and thinking, as well as rigorous mathematical theories. As such, mathematical tools for understanding, modeling, and predicting complex dynamical systems using various suitable stochastic tools are presented. Both theoretical and numerical approaches are included, allowing readers to choose suitable methods in different practical situations. The author provides practical examples and motivations when introducing various mathematical and stochastic tools and merges mathematics, statistics, information theory, computational science, and data science. In addition, the author discusses how to choose and apply suitable mathematical tools to several disciplines including pure and applied mathematics, physics, engineering, neural science, material science, climate and atmosphere, ocean science, and many others. Readers will not only learn detailed techniques for stochastic modeling and prediction, but will develop their intuition as well. Important topics in modeling and prediction including extreme events, high-dimensional systems, and multiscale features are discussed.
Описание: Make the right hires every time, with an analytical approach to talent Predicting Success is a practical guide to finding the perfect member for your team.
Автор: Atin Basuchoudhary; James T. Bang; Tinni Sen Название: Machine-learning Techniques in Economics ISBN: 3319690132 ISBN-13(EAN): 9783319690131 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book develops a machine-learning framework for predicting economic growth. While machine learning itself is not a new idea, advances in computing technology combined with a dawning realization of its applicability to economic questions makes it a new tool for economists.
Автор: Hiroyasu Inoue Название: Predicting the Impact of Patents ISBN: 4431548068 ISBN-13(EAN): 9784431548065 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is the first book that comprehensively analyses co-patenting in Japan and the U.S., which directly signifies collaborations between firms and inventors, using the methodology of network science.
Описание: Marketing Analytics provides guidelines in the application of statistics using SPSS for students and professionals using quantitative methods in Marketing and Consumer Behaviour.
Описание: Examines the issues involved in the field of neuromarketing, including models, technologies, and methodology. Highlighting the intricacies of neuroscience, biometrics, multimedia technology, marketing strategy, and big data management, this book is an ideal resource for researchers, neuroscientists, marketers, suppliers, customers, and investors.
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