亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Trust in Procurement Interactions

反向拍卖 采购 eAAction公司 业务 共同价值拍卖 质量(理念) 微观经济学 远期拍卖 产量(工程) 产业组织 营销 拍卖理论 经济 冶金 材料科学 哲学 认识论
作者
Nicolas Fugger,Elena Katok,Achim Wambach
出处
期刊:Management Science [Institute for Operations Research and the Management Sciences]
卷期号:65 (11): 5110-5127 被引量:22
标识
DOI:10.1287/mnsc.2018.3196
摘要

When complex procurement projects are conducted, it is often not possible to write complete contracts. As a consequence, the relationship between buyer and supplier is important for the success of the project. In this paper we investigate the claim that auctions in procurement can be detrimental for the buyer–supplier relationship, which is in line with the observation that reverse auctions are less frequently conducted if projects are complex. A poor relationship can result in a decrease in trust on the part of the buyer during the sourcing process and an increase in the supplier’s opportunistic behavior following sourcing. We consider a setting in which the winning supplier decides on the level of quality to provide to the buyer, and we compare a standard reverse auction and a buyer-determined reverse auction, both analytically and in the laboratory. We find that the buyer-determined reverse auction can perform better than the standard reverse auction from both the buyer’s and the suppliers’ perspective. In a buyer-determined reverse auction, it may be optimal for the buyer to select the supplier who submitted a higher bid, which may in turn induce this supplier to deliver higher quality. Standard auctions, however, yield lower prices but reduce cooperation. The degree of trust, as reflected by a larger number of transactions and a higher average efficiency of trade, is significantly higher in buyer-determined reverse auctions. Theoretical reasoning based on other-regarding preferences organizes our data well. This paper was accepted by Serguei Netessine, operations management.
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
23秒前
RED发布了新的文献求助10
28秒前
31秒前
Wri发布了新的文献求助10
37秒前
嗨Honey完成签到 ,获得积分10
43秒前
跳跃卿完成签到 ,获得积分10
46秒前
1分钟前
tlx发布了新的文献求助10
1分钟前
科研兵完成签到 ,获得积分10
1分钟前
我是站长才怪应助兰贵人采纳,获得10
1分钟前
tlx完成签到,获得积分10
1分钟前
打打应助文文采纳,获得10
1分钟前
科研通AI5应助科研通管家采纳,获得10
1分钟前
科研通AI2S应助科研通管家采纳,获得10
1分钟前
科研通AI5应助科研通管家采纳,获得10
1分钟前
1分钟前
1分钟前
1分钟前
1分钟前
拼搏的秋玲完成签到,获得积分10
1分钟前
1分钟前
文文发布了新的文献求助10
1分钟前
乐乐应助Nature采纳,获得20
2分钟前
文文完成签到,获得积分20
2分钟前
2分钟前
科研通AI5应助殷勤的汝燕采纳,获得10
2分钟前
3分钟前
科研通AI2S应助科研通管家采纳,获得10
3分钟前
科研通AI5应助科研通管家采纳,获得10
3分钟前
丘比特应助科研通管家采纳,获得30
3分钟前
科研通AI2S应助科研通管家采纳,获得10
3分钟前
不萌不zs发布了新的文献求助10
3分钟前
4分钟前
姜浩嘉发布了新的文献求助10
4分钟前
4分钟前
ldysaber完成签到,获得积分0
4分钟前
4分钟前
lk发布了新的文献求助10
4分钟前
欢喜沛蓝发布了新的文献求助10
4分钟前
4分钟前
高分求助中
Continuum thermodynamics and material modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Healthcare Finance: Modern Financial Analysis for Accelerating Biomedical Innovation 2000
Applications of Emerging Nanomaterials and Nanotechnology 1111
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Les Mantodea de Guyane Insecta, Polyneoptera 1000
工业结晶技术 880
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 纳米技术 内科学 物理 化学工程 计算机科学 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 电极
热门帖子
关注 科研通微信公众号,转发送积分 3491339
求助须知:如何正确求助?哪些是违规求助? 3077921
关于积分的说明 9151234
捐赠科研通 2770492
什么是DOI,文献DOI怎么找? 1520508
邀请新用户注册赠送积分活动 704589
科研通“疑难数据库(出版商)”最低求助积分说明 702298