Social Media Analytics in Predicting Consumer Behavior, Sumer, Selay Ilgaz

Автор: Stefanie Wei?
Название: Determinants of Private Label Attitude
ISBN: 3658086718 ISBN-13(EAN): 9783658086718
Издательство: Springer
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Цена: 52240.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Various psychographic traits that most directly influence consumers` private label attitudes are the focal point of Stefanie Weiss` investigation. The hypothesized relationships between consumers` private label attitude and various psychographic traits are tested on a sample of German and Austrian consumers using an online questionnaire.

Автор: Pantea Keikhosrokiani
Название: Consumer Behavior Change and Data Analytics in the Socio-Digital Era
ISBN: 1668441683 ISBN-13(EAN): 9781668441688
Издательство: Mare Nostrum (Eurospan)
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Цена: 257790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Focuses on the concepts, theories, and analytical techniques to track consumer behaviour change. The book presents multidisciplinary research and practice focusing on social and behavioral analytics to track consumer behaviour shifts and improve decision making among businesses.

Автор: Giuseppe Granata
Название: Predicting trends and building strategies for consumer engagement in retail environments /
ISBN: 1522578560 ISBN-13(EAN): 9781522578567
Издательство: Mare Nostrum (Eurospan)
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Цена: 239310.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.

Автор: Granata Giuseppe, Moretta Tartaglione Andrea, Tsiakis Theodosios
Название: Predicting Trends and Building Strategies for Consumer Engagement in Retail Environments
ISBN: 1522593438 ISBN-13(EAN): 9781522593430
Издательство: Mare Nostrum (Eurospan)
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Цена: 154660.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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
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Цена: 51230.00 T
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.

Автор: Galar Diego, Goebel Kai, Sandborn Peter
Название: Prognostics and Remaining Useful Life (Rul) Estimation: Predicting with Confidence
ISBN: 0367563061 ISBN-13(EAN): 9780367563066
Издательство: Taylor&Francis
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Цена: 188850.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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
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Цена: 46570.00 T
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
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Цена: 130430.00 T
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.

Автор: Chen
Название: Stochastic Methods for Modeling and Predicting Complex Dynamical Systems
ISBN: 3031222482 ISBN-13(EAN): 9783031222481
Издательство: Springer
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Цена: 37260.00 T
Наличие на складе: Поставка под заказ.
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.

Автор: Lahey David
Название: Predicting Success: Evidence-Based Strategies to Hire the Right People and Build the Best Team
ISBN: 1118985974 ISBN-13(EAN): 9781118985977
Издательство: Wiley
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Цена: 20050.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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
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Цена: 51230.00 T
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
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Цена: 93160.00 T
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.