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.

The book gathers a collection of high-quality peer-reviewed research papers presented at the International Conference on Information System Design and Intelligent Applications (INDIA 2018), which was held at the Universite des Mascareignes, Mauritius from July 19 to 21, 2018. It covers a wide range of topics in computer science and information technology, from image processing, database applications and data mining, to grid and cloud computing, bioinformatics and many more. The intelligent tools discussed, e.g. swarm intelligence, artificial intelligence, evolutionary algorithms, and bio-inspired algorithms, are currently being applied to solve challenging problems in various domains.

"This research book is a repository for academicians, researchers, and industry practitioners to share and exchange their research ideas, theories, and practical experiences, discuss challenges and opportunities, and present tools and techniques in all aspects of e-business development and management in the digital economy"--Provided by publisher.

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.

The modern business landscape demands that organizations maintain an online presence to network with their customers and investors. Therefore, understanding the link between social media and e-business is an important first step in cultivating these internet-based relationships. Organizations and Social Networking: Utilizing Social Media to Engage Consumers provides a broad investigation into the use of social technologies in business practices through theoretical research and practical applications. This book explores the opportunities and challenges brought about by the advent of various 21st century online business web tools and platforms, presenting professionals and researchers in e-business, social marketing, online collaborative communities, and social analytics with cutting-edge information and technological developments to implement in their own enterprises. This book is part of the Advances in Marketing, Customer Relationship Management, and E-Services series collection.

Road accidents caused by impaired and distracted driving as well as traffic congestion are on the rise, with the numbers increasing dramatically every day. Intelligent transportation systems (ITS) aim to improve the efficiency and safety of traveling by consolidating vehicle operations, managing vehicle traffic, and notifying drivers with alerts and safety messages in real time. Vehicular Cloud Computing for Traffic Management and Systems provides innovative research on the rapidly advancing applications of vehicle-to-vehicle and vehicle-to-infrastructure communication. It also covers the need to fully utilize vehicular ad-hoc network (VANET) resources to provide updated and dynamic information about the conditions of road traffic so that the number of road accidents can be minimized. Featuring research on topics such as identity management, computational architecture, and resource management, this book is ideally designed for urban planners, researchers, policy makers, graduate-level students, transportation engineers, and technology developers seeking current research on vehicle computational design, architecture, security, and privacy.

Scientific investigation in the service industry has produced a major effect on productivity and quality in order to lead to new services. With ever-evolving internet technologies and information environments, system science and knowledge science seem to be an effective tool for service innovation in the 21st century. Progressive Trends in Knowledge and System-Based Science for Service Innovation illustrates new approaches to service innovation and new methodologies from the knowledge science and system science perspectives. Practitioners and researchers interested in knowing more about practical theories and successful examples in service science will find this book to be a vital asset to their studies.