Developing and Validating Trust Measures for e-Commerce: An Integrative Typology

规则网络 小贩 电子商务 质量(理念) 业务 心理学 知识管理 营销 计算机科学 结构方程建模 万维网 认识论 机器学习 哲学
作者
D. Harrison McKnight,Vivek Choudhury,Charles J. Kacmar
出处
期刊:Information Systems Research [Institute for Operations Research and the Management Sciences]
卷期号:13 (3): 334-359 被引量:4775
标识
DOI:10.1287/isre.13.3.334.81
摘要

Evidence suggests that consumers often hesitate to transact with Web-based vendors because of uncertainty about vendor behavior or the perceived risk of having personal information stolen by hackers. Trust plays a central role in helping consumers overcome perceptions of risk and insecurity. Trust makes consumers comfortable sharing personal information, making purchases, and acting on Web vendor advice—behaviors essential to widespread adoption of e-commerce. Therefore, trust is critical to both researchers and practitioners. Prior research on e-commerce trust has used diverse, incomplete, and inconsistent definitions of trust, making it difficult to compare results across studies. This paper contributes by proposing and validating measures for a multidisciplinary, multidimensional model of trust in e-commerce. The model includes four high-level constructs—disposition to trust, institution-based trust, trusting beliefs, and trusting intentions—which are further delineated into 16 measurable, literature-grounded subconstructs. The psychometric properties of the measures are demonstrated through use of a hypothetical, legal advice Web site. The results show that trust is indeed a multidimensional concept. Proposed relationships among the trust constructs are tested (for internal nomological validity), as are relationships between the trust constructs and three other e-commerce constructs (for external nomological validity), as Web experience, personal innovativeness, and Web site quality. Suggestions for future research as well as implications for practice are discussed.
最长约 10秒,即可获得该文献文件

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
Leo完成签到,获得积分10
1秒前
cooyuan发布了新的文献求助10
3秒前
aaadddhhh发布了新的文献求助10
5秒前
纯真的怜蕾完成签到,获得积分10
5秒前
念念妈咪完成签到 ,获得积分10
6秒前
隐形曼青应助扒开皮皮采纳,获得10
6秒前
墨墨完成签到,获得积分10
8秒前
安详的琳完成签到,获得积分10
12秒前
genesquared完成签到,获得积分10
12秒前
迷了路的猫完成签到,获得积分10
12秒前
13秒前
ding应助cooyuan采纳,获得10
15秒前
15秒前
16秒前
16秒前
李冰浩发布了新的文献求助10
17秒前
君君发布了新的文献求助30
18秒前
Jenny发布了新的文献求助10
20秒前
21秒前
陌语完成签到,获得积分10
22秒前
22秒前
22秒前
23秒前
淡定傲儿发布了新的文献求助10
24秒前
24秒前
24秒前
26秒前
26秒前
27秒前
科研通AI2S应助朱由校采纳,获得10
28秒前
hfdfffcc发布了新的文献求助10
29秒前
zouzou完成签到,获得积分10
29秒前
12发布了新的文献求助10
30秒前
31秒前
扒开皮皮发布了新的文献求助10
33秒前
shuzi发布了新的文献求助10
34秒前
领导范儿应助满意悒采纳,获得10
36秒前
36秒前
烦恼都走开完成签到,获得积分10
38秒前
毛123完成签到,获得积分10
40秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Animal Physiology 2000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Am Rande der Geschichte : mein Leben in China / Ruth Weiss 1500
CENTRAL BOOKS: A BRIEF HISTORY 1939 TO 1999 by Dave Cope 1000
Machine Learning Methods in Geoscience 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3741468
求助须知:如何正确求助?哪些是违规求助? 3284100
关于积分的说明 10038512
捐赠科研通 3000962
什么是DOI,文献DOI怎么找? 1646907
邀请新用户注册赠送积分活动 783919
科研通“疑难数据库(出版商)”最低求助积分说明 750478