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ID 69553
JaLCDOI
Sort Key
5
フルテキストURL
著者
夏扎提古丽 沙吾提 Faculty of Humanities and Social Sciences, Okayama University
抄録
 This study, based on a theoretical review, aims to elucidate elucidate the structural impact of changes in industrial and social systems, as well as advances in AI technologies, on consumer decision-making and purchasing behavior. It seeks to critically examine the limitations of traditional consumer behavior models that no longer adequately capture contemporary consumption patterns.
 Representative models such as AIDMA, AISAS, and SIPS demonstrated explanatory power within the technological and media contexts of their respective eras. However, in the current environment, where AI and algorithms not only deliver information but also shape the structure of choice, these models—built on the assumptions of linearity and rationality, are becoming increasingly insufficient.
 This paper provides a comprehensive overview of the theoretical evolution of consumer behavior models from the Mass Media Era to the Age of AI Coexistence. It highlights key limitations, including the neglect of nonlinearity; underestimation of emotional dimensions, such as empathy and resonance; and lack of theoretical responsiveness to the structural constraints imposed by algorithmic environments. Ultimately, this study serves as a theoretical starting point for a paradigm shift in consumer understanding, laying the groundwork for the future reconstruction of theory and he development of innovative marketing strategies in the age of intelligent systems.
キーワード
Artificial Intelligence (AI)
Consumer Behavior
Algorithm
Decision-making
Digital Marketing
Social Media
備考
論説 (Articles)
出版物タイトル
岡山大学経済学会雑誌
発行日
2025-11-25
57巻
2号
出版者
岡山大学経済学会
出版者(別表記)
The Economic Association of Okayama University
開始ページ
49
終了ページ
80
ISSN
2433-4146
NCID
AN00032897
資料タイプ
学術雑誌論文
OAI-PMH Set
岡山大学
言語
英語
著作権者
Copyright © 2025 岡山大学経済学会
論文のバージョン
publisher
Eprints Journal Name
oer
助成情報
20K02069: 外国人労働者の実態と新しい共生社会の創造に関する調査研究 ( 独立行政法人日本学術振興会 / Japan Society for the Promotion of Science )