TY - GEN
T1 - Green Threads and Digital Dreams: Exploring the Influence of AI-Mediated Experiences on Purchase Intentions in Sustainable Apparel Markets
AU - Lo, Ying Tuan
AU - Jing, Huang
AU - Thoo, Ai Chin
AU - Lau, Teck Chai
AU - Gan, Hong Seng
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - In an era marked by increasing environmental concerns and shifting consumer preferences, the fashion industry faces growing pressure to adopt sustainable practices. This paper explores the intersection of artificial intelligence (AI), perceived value dimensions, and sustainable purchase intentions in the context of the fashion industry. Drawing on a comprehensive review of existing literature, a conceptual framework is proposed to explain the interplay between AI-mediated experiences, perceived value dimensions (functional, emotional, social, conditional, and green values), and sustainable purchase intentions. The framework posits that AI-mediated experiences, characterized by personalized interactions facilitated by advanced technologies, influence consumers’ perceptions of value across various dimensions, ultimately shaping their intentions to engage in sustainable consumption behaviors. The proposed framework underscores the significance of AI-driven personalization in fostering consumer engagement and satisfaction, while also highlighting the role of perceived value in mediating the relationship between AI-mediated experiences and sustainable purchase intentions. The paper also discusses avenues for future research, emphasizing the need for empirical validation of the conceptual framework and the investigation of additional variables that may influence sustainable purchase intentions. By shedding light on these dynamics, it aims to provide evidence-based strategies for promoting sustainable consumption practices in the fashion industry, thereby contributing to the broader discourse on environmental sustainability and consumer behavior.
AB - In an era marked by increasing environmental concerns and shifting consumer preferences, the fashion industry faces growing pressure to adopt sustainable practices. This paper explores the intersection of artificial intelligence (AI), perceived value dimensions, and sustainable purchase intentions in the context of the fashion industry. Drawing on a comprehensive review of existing literature, a conceptual framework is proposed to explain the interplay between AI-mediated experiences, perceived value dimensions (functional, emotional, social, conditional, and green values), and sustainable purchase intentions. The framework posits that AI-mediated experiences, characterized by personalized interactions facilitated by advanced technologies, influence consumers’ perceptions of value across various dimensions, ultimately shaping their intentions to engage in sustainable consumption behaviors. The proposed framework underscores the significance of AI-driven personalization in fostering consumer engagement and satisfaction, while also highlighting the role of perceived value in mediating the relationship between AI-mediated experiences and sustainable purchase intentions. The paper also discusses avenues for future research, emphasizing the need for empirical validation of the conceptual framework and the investigation of additional variables that may influence sustainable purchase intentions. By shedding light on these dynamics, it aims to provide evidence-based strategies for promoting sustainable consumption practices in the fashion industry, thereby contributing to the broader discourse on environmental sustainability and consumer behavior.
KW - AI-mediated Experiences
KW - Customer Perceived Value
KW - Green Apparel
KW - Purchase Intention
UR - http://www.scopus.com/inward/record.url?scp=105002706945&partnerID=8YFLogxK
U2 - 10.1007/978-981-96-3949-6_10
DO - 10.1007/978-981-96-3949-6_10
M3 - Conference Proceeding
AN - SCOPUS:105002706945
SN - 9789819639489
T3 - Lecture Notes in Networks and Systems
SP - 139
EP - 152
BT - Advances in Intelligent Manufacturing and Robotics - Selected Articles from ICIMR 2024
A2 - Chen, Wei
A2 - Ping Tan, Andrew Huey
A2 - Luo, Yang
A2 - Huang, Long
A2 - Zhu, Yuyi
A2 - PP Abdul Majeed, Anwar
A2 - Zhang, Fan
A2 - Yan, Yuyao
A2 - Liu, Chenguang
PB - Springer Science and Business Media Deutschland GmbH
T2 - 2nd International Conference on Intelligent Manufacturing and Robotics, ICIMR 2024
Y2 - 22 August 2024 through 23 August 2024
ER -