系统回顾
奖学金
工程伦理学
斯科普斯
钥匙(锁)
公共关系
社会学
知识管理
心理学
管理科学
计算机科学
科学网
立场文件
互联网隐私
信息隐私
数据科学
政治学
作者
Le Zhang,Hafizah Omar Zaki,Wei Ran
摘要
ABSTRACT Voice assistant represents one of the most prevalent AI applications and has transformed various aspects of consumers' daily lives. Nevertheless, privacy remains a major barrier to their sustained success, underscoring the importance of synthesizing existing scholarship to develop a comprehensive understanding on this topic. This study conducts a systematic literature review on consumers' privacy in VA by integrating the Theory‐Context‐Methodology and Antecedent‐Decision‐Outcome frameworks, based on 52 articles retrieved from the Web of Science and Scopus databases. The review synthesizes the theories, contexts and methodologies adopted across prior studies, while also examining the antecedents, decisions and outcomes discussed in the literature to clarify the key constructs and their interrelationships. Buildin g on this foundation, it identifies critical gaps in current research and outlines concrete directions for further investigation. The findings generate meaningful insights for scholars and deliver practical implications for practitioners in the voice assistant industry.
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