株式会社極東書店トップ商品一覧Complex Modeling of Consumer Behavior : Agent-Based Marketing Science.

商品詳細

Complex Modeling of Consumer Behavior

Complex Modeling of Consumer Behavior : Agent-Based Marketing Science. 水野誠著 消費者行動の複雑系モデリング -エージェント・ベースのマーケティング科学-

・ISBN 978-4-431-54873-7 hard EUR 129.99

¥34,745.- (税込) (※)価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
版元の原価改定、外国為替の変動等により異なる場合がございますので、予めご了承下さい。

お気に入り
著者・編者Mizuno, Makoto,
シリーズEvolutionary Economics and Social Complexity Science
出版社(Springer, JA)
出版年月2025
ページ数vi, 294 pp.
言語ENG
ニュース番号<1 620-321>

解説

This book reports what progress is being and should be made in marketing science by social complexity science through such means as agent-based modeling and complex networks, which is seldom addressed by books reviewing the state of the art of marketing research or marketing science. Recently, as the penetration of brand-new communication technologies such as social media or mobile phones is connecting consumers more tightly than ever, marketers should understand and harness complex social interactions between consumers as well as between consumers and firms. Traditional marketing science does not sufficiently capture such phenomena; hence, the emerging alternative approaches are reflecting advances in social complexity science. The aim of this book is to give an overview of these newly emerging research trends, focusing mainly on the following three topics: diffusion of new products, choice and relationship with existing brands and marketing communication including consumers' word-of-mouth. These topics have attracted a lot of attention among marketers in particular in rapidly growing markets such as hi-tech or services, where consumers' mutual interaction and their bounded-rational behavior play critical roles. The prospective readers of this book include researchers, graduate students and practitioners with high expertise (e.g. data scientists) in both marketing/consumer research areas and complexity science areas such as computer science, physics and mathematical social science. The book serves as a bridge by providing the evolving knowledge on social complexity modeling for marketing researchers and the accumulated knowledge on marketing/consumer research for complexity researchers. In addition to reviewing previous and ongoing studies, this book offers the agenda for future researchers to discuss what problems have not been solved yet and need social complexity science approaches.