Shu-Chuan Chu – författare

Recent years have seen digital advertising grow to the point where it will soon overtake television as the no. 1 advertising medium. In the online environment, consumers interact and share their thoughts on brands and their experiences using them. These electronic word-of-mouth (eWOM) communications have become a very important to the success of products. In today’s cluttered environment, it is especially important to study how the practice of eWOM advertising operates, and how marketers can influence eWOM in social media and other online sites.

This volume starts with a chapter on the current state of knowledge on eWOM and then turns its attention to current research articles on a variety of eWOM formats. These include the posting of selfies on social media, the influence of review types on consumer perception and purchase intention, the effects of preannouncement messages, and how user-generated content can be used to induce effectiveness of eWOM on social media. The relationship of eWOM to brand building is emphasized in several of the chapters.

This book was originally published as a special issue of the International Journal of Advertising.

Recent years have seen digital advertising grow to the point where it will soon overtake television as the no. 1 advertising medium. In the online environment, consumers interact and share their thoughts on brands and their experiences using them. These electronic word-of-mouth (eWOM) communications have become a very important to the success of products. In today’s cluttered environment, it is especially important to study how the practice of eWOM advertising operates, and how marketers can influence eWOM in social media and other online sites.

This volume starts with a chapter on the current state of knowledge on eWOM and then turns its attention to current research articles on a variety of eWOM formats. These include the posting of selfies on social media, the influence of review types on consumer perception and purchase intention, the effects of preannouncement messages, and how user-generated content can be used to induce effectiveness of eWOM on social media. The relationship of eWOM to brand building is emphasized in several of the chapters.

This book was originally published as a special issue of the International Journal of Advertising.

This volume of Advances in Intelligent Systems and Computing highlights papers presented at the 11th International Conference on Genetic and Evolutionary Computing (ICGEC 2017). Held from 6 to 8 November 2017 in Kaohsiung, Taiwan, the conference was co-sponsored by Springer, Fujian University of Technology in China, National University of Kaohsiung, Harbin Institute of Technology, National Kaohsiung University of Applied Sciences, and VŠB -Technical University of Ostrava. The conference was intended as an international forum for researchers and professionals engaged in all areas of genetic computing, intelligent computing, evolutionary and grid computing.

This book gathers papers presented at the 13th International Conference on Genetic and Evolutionary Computing (ICGEC 2019), which was held in Qingdao, China, from 1st to 3rd, November 2019. Since it was established, in 2006, the ICGEC conference series has been devoted to new approaches with a focus on evolutionary computing. Today, it is a forum for the researchers and professionals in all areas of computational intelligence including evolutionary computing, machine learning, soft computing, data mining, multimedia and signal processing, swarm intelligence and security.

The book appeals to policymakers, academics, educators, researchers in pedagogy and learning theory, school teachers, and other professionals in the learning industry, and further and continuing education.  

This book contains selected papers presented at ICGEC 2021, the 14th International Conference on Genetic and Evolutionary Computing, held from October 21-23, 2021 in Jilin City, China. The conference was technically co-sponsored by Springer, Northeast Electric Power University Fujian University of Technology, Shandong University of Science and Technology, and Western Norway University of Applied Sciences. It is intended as an international forum for the researchers and professionals in all areas of genetic and evolutionary computing. And the readers may learn the up-to-date techniques of the mentioned topics, including swarm intelligence, artificial intelligence, information hiding and data mining techniques, which can help them to bring new ideas or apply the designed approaches from the collected papers to their professional jobs.