Building Effective Online Marketplaces with Institution-Based Trust

托管 机构 数据库事务 背景(考古学) 业务 空格(标点符号) 交易成本 互联网隐私 计算机科学 营销 社会学 古生物学 社会科学 财务 生物 程序设计语言 操作系统
作者
Paul A. Pavlou,David Gefen
出处
期刊:Information Systems Research [Institute for Operations Research and the Management Sciences]
卷期号:15 (1): 37-59 被引量:2679
标识
DOI:10.1287/isre.1040.0015
摘要

Institution-based trust is a buyer’s perception that effective third-party institutional mechanisms are in place to facilitate transaction success. This paper integrates sociological and economic theories about institution-based trust to propose that the perceived effectiveness of three IT-enabled institutional mechanisms–specifically feedback mechanisms, third-party escrow services, and credit card guarantees–engender buyer trust in the community of online auction sellers. Trust in the marketplace intermediary that provides the overarching institutional context also builds buyer’s trust in the community of sellers. In addition, buyers’ trust in the community of sellers (as a group) facilitates online transactions by reducing perceived risk. Data collected from 274 buyers in Amazon’s online auction marketplace provide support for the proposed structural model. Longitudinal data collected a year later show that transaction intentions are correlated with actual and self-reported buyer behavior. The study shows that the perceived effectiveness of institutional mechanisms encompasses both “weak” (market-driven) and “strong” (legally binding) mechanisms. These mechanisms engender trust, not only in a few reputable sellers, but also in the entire community of sellers, which contributes to an effective online marketplace. The results thus help explain why, despite the inherent uncertainty that arises when buyers and sellers are separated in time and in space, online marketplaces are proliferating. Implications for theory are discussed, and suggestions for future research on improving IT-enabled trust-building mechanisms are suggested.
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
4秒前
10秒前
乔翼娇完成签到 ,获得积分10
13秒前
limengyao完成签到,获得积分10
14秒前
Huihui完成签到 ,获得积分10
16秒前
烦烦发布了新的文献求助10
16秒前
19秒前
炒面完成签到 ,获得积分10
22秒前
又又完成签到,获得积分0
26秒前
28秒前
nini完成签到,获得积分10
31秒前
笨笨忘幽完成签到,获得积分0
32秒前
null的应助被吕培森采纳,获得10
32秒前
任伟超完成签到,获得积分10
33秒前
37秒前
凌泉完成签到 ,获得积分10
38秒前
夕阳下仰望完成签到 ,获得积分10
38秒前
属实有点拉胯完成签到 ,获得积分10
39秒前
CLTTT完成签到,获得积分0
40秒前
失眠紫完成签到,获得积分10
42秒前
manman完成签到 ,获得积分10
45秒前
袁不评发布了新的文献求助10
45秒前
慧慧34完成签到 ,获得积分10
46秒前
49秒前
55秒前
58秒前
烈酒一醉方休完成签到 ,获得积分10
1分钟前
Zzy完成签到 ,获得积分10
1分钟前
boboo发布了新的文献求助10
1分钟前
加倍努力完成签到 ,获得积分10
1分钟前
樂楽完成签到,获得积分10
1分钟前
小研家完成签到,获得积分10
1分钟前
幸福海之完成签到,获得积分10
1分钟前
牛马完成签到,获得积分10
1分钟前
孔德颍完成签到,获得积分10
1分钟前
搜集达人的应助被sidneyyang采纳,获得10
1分钟前
孑然完成签到 ,获得积分10
1分钟前
dang完成签到 ,获得积分10
1分钟前
1分钟前
percy完成签到 ,获得积分10
1分钟前
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
IRTSD: Open-Source Data and Toolset for Electromagnetic Transient Analysis of Disturbances and IBR Control Malfunctions in Transmission Systems 1000
Spec 401: Standards for Jet Fuel Facility and Equipment Commissioning and Flushing at Airports, 2026.1 (Original Issue) 1000
Spec 103: Standard for Jet Fuel Quality Control at Airports, Revision 2026.1 1000
Les Mots du discours 600
A Consideration on Use of Material Grades for Hull Structural Members Based on Fracture Toughness(Second Report) 500
AI Disclosure in Annual Reports: Evolution, Determinants, and Capital Market Participants’ Perceptions 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8108810
求助须知:如何正确求助?哪些是违规求助? 9516594
关于积分的说明 21503520
捐赠科研通 7685459
什么是DOI,文献DOI怎么找? 3411013
关于科研通互助平台的介绍 2538302
邀请新用户注册赠送积分活动 2450932