Self-reliant shipping to mitigate disruption risk in the direct-delivery channel: will the e-tailer’s bonded-warehouse channel also benefit?

业务 频道(广播) 产业组织 计算机科学 利润(经济学) 帕累托原理 微观经济学 运营管理 电信 经济
作者
Baozhuang Niu,Yiyuan Ruan
出处
期刊:Maritime Policy & Management [Taylor & Francis]
卷期号:51 (8): 1669-1696 被引量:3
标识
DOI:10.1080/03088839.2023.2256728
摘要

Cross-border e-commerce, in particular direct-delivery trade, has been severely impacted by turbulent events like the COVID-19 epidemic. E-tailers operating both bonded-warehouse and direct-delivery channels could mitigate disruption risks by self-reliant shipping to maintain control over logistics processes. The question is whether the e-tailer's bonded-warehouse channel will also benefit from self-reliant shipping. We analyse a typical situation in which an e-tailer imports products from overseas suppliers and resells them through dual-sales channels. Our findings reveal that the demand potential difference between these two channels and the common carrier's pricing power are critical factors in the e-tailer's decision-making process. If the bonded-warehouse channel has moderate demand potential, the e-tailer is less likely to choose self-reliant shipping. Therefore, the imbalance in demand potentials between the two channels serves as a significant driver for the e-tailer to favor self-reliant shipping. Interestingly, we find the common carrier's pricing power can either motivate or deter the e-tailer from self-reliant shipping. If the direct-delivery channel/bonded-warehouse channel has a large demand potential, a higher service price for this channel will be charged by the carrier, thus incentivizing the e-tailer to prefer self-reliant shipping. Our study also demonstrates that both self-reliant shipping and common carrier strategies can achieve a Pareto improvement in the e-tailer profit and the social welfare.
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
1秒前
orixero应助明明采纳,获得10
2秒前
谜记发布了新的文献求助10
2秒前
finerain7完成签到,获得积分10
3秒前
3秒前
完美世界应助张可采纳,获得10
3秒前
cao发布了新的文献求助80
3秒前
唐飒发布了新的文献求助10
4秒前
ZY发布了新的文献求助10
4秒前
科研通AI5应助WFLLL采纳,获得10
5秒前
ff发布了新的文献求助10
6秒前
6秒前
6秒前
7秒前
陶渊明发布了新的文献求助10
7秒前
科研通AI5应助马倩茹采纳,获得10
8秒前
古月完成签到,获得积分10
10秒前
很多熏熏发布了新的文献求助10
12秒前
keroro发布了新的文献求助10
12秒前
小熵发布了新的文献求助10
12秒前
YilinHou完成签到,获得积分10
12秒前
科研通AI2S应助小雨采纳,获得10
13秒前
14秒前
xiajj发布了新的文献求助10
18秒前
CodeCraft应助廾匸采纳,获得10
19秒前
科研通AI5应助称心寒松采纳,获得10
19秒前
19秒前
keroro完成签到,获得积分10
19秒前
马倩茹发布了新的文献求助10
20秒前
20秒前
23秒前
WYF完成签到,获得积分20
24秒前
joruruo发布了新的文献求助30
24秒前
很多熏熏完成签到,获得积分10
25秒前
25秒前
李健应助难过以晴采纳,获得30
26秒前
加百莉发布了新的文献求助10
27秒前
WFLLL发布了新的文献求助10
27秒前
雪流星发布了新的文献求助10
28秒前
29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 3740956
求助须知:如何正确求助?哪些是违规求助? 3283797
关于积分的说明 10036810
捐赠科研通 3000526
什么是DOI,文献DOI怎么找? 1646584
邀请新用户注册赠送积分活动 783787
科研通“疑难数据库(出版商)”最低求助积分说明 750427