Green consumption by design: interaction experiences and customization intentions

• Published in: Management decision Vol. 62; no. 4; pp. 1375 - 1394
• Main Authors: Wang, Chen, Zhang, Yan, Zhang, Ran
• Format: Journal Article
• Language: English
• Published: London Emerald Publishing Limited 10.05.2024; Emerald Group Publishing Limited
• Subjects: Artificial intelligence; Big Data; Biodegradable materials; Consumer behavior; Consumers; Customization; Electronic commerce; Hypotheses; Information processing; Marketing; Shopping; Sustainable consumption; Self-construal; Processing fluency; Interaction experiential customization; Green customization intention
• ISSN: 0025-1747; 1758-6070
• DOI: 10.1108/MD-06-2023-0958

PurposeThis study investigated the impacts of the interaction experiential customization (IEC) mode on consumers' information processing fluency and green customization intention (GCI) as well as the moderating effect of consumers' self-construal.Design/methodology/approachThis study conducted an online field experiment, questionnaire study and between-subjects laboratory experiment to test the hypotheses.FindingsIt was found that IEC had a significant positive effect on consumers' GCI. Moreover, consumer retrieval processing fluency played a partial mediating role in the relationship between IEC and GCI. In addition, consumers' self-construal moderated the “IEC? Three dimensions of processing fluency” relationships.Practical implicationsThe results emphasized the importance of IEC in influencing consumers' consumption intention in a green customization setting and have some practical implications, that is, companies have the opportunity to use appropriate digital choice architecture designs, which can enhance consumer processing fluency when promoting eco-friendly products in the customized consumption process, especially for independent consumers.Originality/valueThis study focused on the customization design on consumers' GCI and explained the mechanism of impact of IEC on improving consumers' processing fluency and GCI in a product customization setting based on the fluency theory. In addition, this study investigated the moderating effect of consumers' self-construal (independent vs interdependent) on their significant different information processing modes for low-carbon choices.