摘要
数智时代,个性化算法推荐服务迅速发展。关于个性化算法推荐服务用户采纳意愿影响因素的实证研究结论存在不一致的现象,为明确关键影响因素,对该主题实证研究成果进行梳理与再分析,为后续相关研究提供借鉴。本文运用元分析方法,从国内外聚焦个性化算法推荐服务用户采纳意愿的51篇实证研究成果中识别出14个关键影响因素,其中信任、态度、感知愉悦性、交互质量、推荐信息质量等因素对用户采纳意愿作用程度较强。研究时间、社会环境和应用平台类型会对相关变量与个性化算法推荐服务用户采纳意愿之间的关系产生调节作用。
In the era of digital intelligence,personalized algorithm recommendation services are developing rapidly.There are inconsistencies in the findings of empirical studies on the factors influencing the adoption intention of users of personalized algorithmic recommendation services.In order to clarify the key influencing factors,the empirical research results on this topic were sorted out and re-analyzed to provide reference for subsequent research.This paper used the meta-analysis method to identify 14 key factors from 51 domestic and foreign empirical studies focusing on the adoption intention of users of personalized algorithm recommendation services.Among these factors,trust,attitude,perceived pleasure,interaction quality,recommendation information quality and other factors played a strong role in user's adoption intention.Research time,social environment and application platform type moderated the relationship between the relevant variables and the adoption intention of users of personalized algorithm recommendation services.
作者
施雨
茆意宏
张贵香
Shi Yu;Mao Yihong;Zhang Guixiang(College of Information Management,Nanjing Agricultural University;School of Information Resource Management,Renmin University of China)
出处
《图书馆杂志》
CSSCI
北大核心
2024年第2期96-108,共13页
Library Journal
基金
国家社会科学基金重点项目“数智时代阅读服务转型研究”(项目编号:21ATQ003)的研究成果之一。
关键词
个性化算法推荐服务
采纳意愿
影响因素
元分析
Personalized algorithm recommendation service
Willingness to adopt
Influencing factors
Meta-analysis
