价值(数学)
独创性
心理学
客户参与度
广告
社会化媒体
感知
共同创造
构造(python库)
调解
品牌参与度
营销
业务
社会心理学
计算机科学
社会学
万维网
社会科学
机器学习
神经科学
创造力
程序设计语言
作者
Diem-Trang Vo,Long Thang Van Nguyen,Duy Dang-Pham,Ai-Phuong Hoang
出处
期刊:Young Consumers: Insight and Ideas for Responsible Marketers
[Emerald Publishing Limited]
日期:2024-01-13
卷期号:25 (5): 557-578
被引量:10
标识
DOI:10.1108/yc-06-2023-1759
摘要
Purpose Artificial intelligence (AI) allows the brand to co-create value with young customers through mobile apps. However, as many brands claim that their mobile apps are using the most updated AI technology, young customers face app fatigue and start questioning the authenticity of this touchpoint. This paper aims to study the mediating effect of authenticity for the value co-creation of AI-powered branded applications. Design/methodology/approach Drawing from regulatory engagement theory, this study conceptualize authenticity as the key construct in customers’ value experience process, which triggers customer value co-creation. Two scenario-based online experiments are conducted to collect data from 444 young customers. Data analysis is performed using ANOVA and Process Hayes. Findings The results reveal that perceived authenticity is an important mediator between media richness (chatbot vs AI text vs augmented reality) and value co-creation. There is no interaction effect of co-brand fit (high vs low) and source endorsement (doctor vs government) on the relationship between media richness and perceived authenticity, whereas injunctive norms (high vs low) strengthen this relationship. Practical implications The finding provides insights for marketing managers on engaging young customers suffering from app fatigue. Authenticity holds the key to young customers’ technological perceptions. Originality/value This research highlights the importance of perceived authenticity in encouraging young customers to co-create value. Young customers consider authenticity as a motivational force experience that involves customers through the app’s attributes (e.g. media richness) and social standards (e.g. norms), rather than brand factors (e.g. co-brand fit, source endorsement).
科研通智能强力驱动
Strongly Powered by AbleSci AI