How to improve elderly users' intention to use public digital cultural services: from the perspective of trust

结构方程建模 声誉 透视图(图形) 质量(理念) 数字素养 服务(商务) 价值(数学) 桥(图论) 社会交换理论 技术接受模型 独创性 概念模型 读写能力 知识管理 服务质量 心理学 业务 计算机科学 营销 可用性 万维网 社会心理学 社会学 医学 创造力 人工智能 哲学 内科学 机器学习 认识论 人机交互 数据库 教育学 社会科学
作者
Yuwen Hua,Honglei Lia Sun,Chen Ya
出处
期刊:Library Hi Tech [Emerald Publishing Limited]
卷期号:43 (1): 114-131 被引量:2
标识
DOI:10.1108/lht-09-2022-0436
摘要

Purpose This study aims to explore the relationship between elderly users' trust in public digital cultural services (PDCS) and their intention to use PDCS, and reveal the factors affecting their intentions from the perspective of trust to make recommendations that will increase their intention to use PDCS. Design/methodology/approach Combined with the trust building model and social exchange theory, this study constructed a conceptual model of elderly users' intention to use PDCS. Data collected from Chinese elderly users who have reached the age of 60 through questionnaire surveys were tested using the structural equation model with partial least squares. Finally, the authors proposed a model of elderly users' intention to use PDCS. Findings This study finds that elderly users' trust positively affects their intention to use PDCS from two aspects: service features and user features of PDCS. Concerning the service features, system quality directly affects elderly users' trust in PDCS most significantly, followed by information quality and service reputation. Concerning the user features, perceived value has a higher impact on elderly users' trust than that of service features, and information literacy and information quality directly affect perceived value. Originality/value This study adds new knowledge to the users' behavior of PDCS and enriches the prior description of PDCS. The recommendations made in this study provide a series of strategies for practitioners and researchers to improve the elderly users' intention to use PDCS and bridge the silver digital divide, which offers new ideas for improving the efficiency of PDCS.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
Lucas应助美满的鸣凤采纳,获得30
1秒前
AEGUO完成签到,获得积分10
2秒前
2秒前
zhouyan发布了新的文献求助10
3秒前
鳗鱼发布了新的文献求助10
3秒前
4秒前
5秒前
CipherSage应助huahua采纳,获得10
5秒前
6秒前
123发布了新的文献求助10
7秒前
sanqiuguizi完成签到 ,获得积分10
7秒前
7秒前
8秒前
8秒前
8秒前
9秒前
9秒前
田様应助哈哈怪采纳,获得10
10秒前
wenllian发布了新的文献求助10
11秒前
CodeCraft应助enen采纳,获得10
11秒前
甜甜的不二完成签到,获得积分10
12秒前
无极微光应助w。采纳,获得20
13秒前
脑洞疼应助烟柏采纳,获得10
13秒前
DannyPergola发布了新的文献求助10
14秒前
14秒前
悦耳青梦发布了新的文献求助10
14秒前
冷傲的冰岚完成签到 ,获得积分10
16秒前
清爽的夜山关注了科研通微信公众号
16秒前
闷闷发布了新的文献求助30
16秒前
cfplrbs完成签到,获得积分10
17秒前
上官若男应助Sichen孟采纳,获得30
17秒前
星辰大海应助obsession采纳,获得10
22秒前
22秒前
端庄乐珍应助Victor_Ryan采纳,获得10
23秒前
犹豫怡完成签到,获得积分10
24秒前
25秒前
wenllian完成签到,获得积分10
26秒前
今后应助炸鸡采纳,获得10
27秒前
共享精神应助自信的昊强采纳,获得10
28秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Salmon nasal cartilage-derived proteoglycan complexes influence the gut microbiota and bacterial metabolites in mice 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Cowries - A Guide to the Gastropod Family Cypraeidae 1200
Hemispherical Resonator Gyro: Status Report and Test Results 800
ON THE THEORY OF BIRATIONAL BLOWING-UP 666
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6383095
求助须知:如何正确求助?哪些是违规求助? 8195309
关于积分的说明 17327058
捐赠科研通 5436738
什么是DOI,文献DOI怎么找? 2875318
邀请新用户注册赠送积分活动 1852109
关于科研通互助平台的介绍 1696482