Consumer Information Systems And Relationship Management Design Implementation And Use

Consumer Information Systems and Relationship Management: Design, Implementation, and Use

Businesses continue to design and implement a variety of information systems that facilitate the creation, aggregation, and provision of product-related information in order to increase the role that quality information is playing in consumers’ decision-making processes. Consumer Information Systems and Relationship Management: Design, Implementation, and Use highlights empirical research, theoretical frameworks, and relevant models on the understanding and implementation of consumer information systems. By covering consumer perceptions of practicality and ease of use, this book is essential for practitioners in business environments and strategic management, meeting consumer needs through the use of digital and Web-based technologies as well as recent empirical research findings and design and implementation of innovative information systems. This book is part of the Advances in Marketing, Customer Relationship Management, and E-Services series collection.

Consumer Information Systems and Relationship Management

Advances in Time Series Analysis and Forecasting

This volume of selected and peer-reviewed contributions on the latest developments in time series analysis and forecasting updates the reader on topics such as analysis of irregularly sampled time series, multi-scale analysis of univariate and multivariate time series, linear and non-linear time series models, advanced time series forecasting methods, applications in time series analysis and forecasting, advanced methods and online learning in time series and high-dimensional and complex/big data time series. The contributions were originally presented at the International Work-Conference on Time Series, ITISE 2016, held in Granada, Spain, June 27-29, 2016. The series of ITISE conferences provides a forum for scientists, engineers, educators and students to discuss the latest ideas and implementations in the foundations, theory, models and applications in the field of time series analysis and forecasting. It focuses on interdisciplinary and multidisciplinary research encompassing the disciplines of computer science, mathematics, statistics and econometrics.