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 哲学 认识论 机器学习
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:5149
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
刚刚
m78发布了新的文献求助10
刚刚
Cristianozy发布了新的文献求助10
1秒前
天天快乐应助郝煜祺采纳,获得10
1秒前
1秒前
犯醉闲鱼人完成签到,获得积分10
2秒前
Owen应助whq531608采纳,获得10
2秒前
2秒前
橙子快跑发布了新的文献求助10
2秒前
3秒前
华仔应助发SCI采纳,获得10
3秒前
3秒前
稀饭发布了新的文献求助10
3秒前
4秒前
kt发布了新的文献求助10
4秒前
科研小白完成签到 ,获得积分10
4秒前
无极微光应助浮星凡羽采纳,获得50
5秒前
元谷雪发布了新的文献求助10
5秒前
森sen完成签到 ,获得积分10
6秒前
JC325T完成签到,获得积分10
6秒前
6秒前
秃头emo兔完成签到 ,获得积分10
6秒前
error发布了新的文献求助10
7秒前
8秒前
科研通AI6.2应助叫滚滚采纳,获得10
8秒前
经常查查完成签到,获得积分10
8秒前
科研冲发布了新的文献求助10
9秒前
9秒前
科研通AI6.1应助鱼鱼鱼采纳,获得10
10秒前
10秒前
10秒前
Carrie发布了新的文献求助10
10秒前
liuyue发布了新的文献求助10
10秒前
arizaki7发布了新的文献求助10
10秒前
芳草春云完成签到,获得积分20
11秒前
11秒前
鸠摩智发布了新的文献求助10
11秒前
11秒前
yuan完成签到,获得积分10
11秒前
经常查查发布了新的文献求助20
12秒前
高分求助中
Adhesion Science: Principles & Practice 1234
Signals, Systems, and Signal Processing 610
Introduction to Cosmetic Formulation and Technology, 2nd Edition 400
Petrology and Plate Tectonics,2025 400
Burger's Medicinal Chemistry and Drug Discovery 400
Programming for Chemical Engineers Using C, C++, and MATLAB 320
Birth of Twins After Genome Editing for HIV Resistance 300
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 6691782
求助须知:如何正确求助?哪些是违规求助? 8434902
关于积分的说明 18021948
捐赠科研通 5919632
什么是DOI,文献DOI怎么找? 2985273
邀请新用户注册赠送积分活动 1961215
关于科研通互助平台的介绍 1900422