Optimal pricing strategy: rural delivery and service sharing

业务 服务交付框架 服务(商务) 定价策略 营销 过程管理
作者
Lu Liu,Qi Lin,Xiaoxi Zhang,Donghai Wang,Mark Goh
出处
期刊:Management Decision [Emerald Publishing Limited]
标识
DOI:10.1108/md-10-2024-2338
摘要

Purpose While eCommerce logistics has boomed, the urban-rural gap in the last mile logistics infrastructure remains, with the structural imbalance in logistics resources becoming increasingly stark. Rural areas are vast and sparsely populated, and the demand for eCommerce logistics service is less and scattered. This leads to poor last mile logistics in rural areas and low service efficiency. This paper promotes the sharing of logistics resources to improve service efficiency by optimizing the logistics resource service sharing pricing strategy. Our results provide reference for the decision-making of the delivery service sharing mode and pricing of eCommerce logistics in rural areas. Design/methodology/approach This paper applies a game theoretic model the sharing of the rural last mile delivery service, specifically in the distribution service of two competing players operating in one region. The logistics service pricing decision-making model of eCommerce players under the non-sharing/sharing service mode is built, and the optimal pricing strategies obtained. Findings The optimal distribution service sharing willingness decision is given based on cost, consumer price-sensitivity and market potential. We find that logistics resource service sharing should prevail, albeit within an operating range. Our results provide reference for the decision-making of delivery service sharing mode and pricing of eCommerce logistics in rural areas and help to improve the quality of service for eCommerce delivery. Originality/value This work provide decision-making references for eCommerce delivery firms to know when switch from one delivery mechanism to another by choosing the right delivery sharing strategy and logistics service pricing, and thus enhance the quality of last mile delivery service in rural areas.
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
无花果应助啊v的故事采纳,获得10
刚刚
zz发布了新的文献求助20
刚刚
1秒前
张欢馨应助科研小白采纳,获得10
1秒前
打打应助刘泽丰采纳,获得10
1秒前
打打应助卫绯采纳,获得10
1秒前
王多肉发布了新的文献求助10
2秒前
研友_VZG7GZ应助leo_twli采纳,获得10
2秒前
ccc完成签到,获得积分10
2秒前
TT完成签到,获得积分10
2秒前
3秒前
WangShuo完成签到,获得积分10
3秒前
webweb发布了新的文献求助10
3秒前
11发布了新的文献求助10
4秒前
叶子完成签到 ,获得积分10
5秒前
yik完成签到,获得积分10
6秒前
6秒前
斯文败类应助LLC采纳,获得10
6秒前
7秒前
研友_8QQ9y8完成签到,获得积分10
7秒前
8秒前
希望天下0贩的0应助yuanvv采纳,获得10
9秒前
Enigma_GEB应助简单刺猬采纳,获得10
9秒前
浮生寄旧梦完成签到,获得积分10
10秒前
我是老大应助犹豫的铸海采纳,获得30
10秒前
苗条子轩完成签到,获得积分20
11秒前
腾空星完成签到 ,获得积分10
11秒前
11秒前
多情天奇完成签到,获得积分10
12秒前
12秒前
善良的冰海完成签到,获得积分10
13秒前
球球完成签到,获得积分10
13秒前
一只耳完成签到,获得积分10
13秒前
专注的大山完成签到,获得积分10
14秒前
LLC完成签到,获得积分20
14秒前
酷炫曼彤发布了新的文献求助10
14秒前
茗茗发布了新的文献求助20
14秒前
14秒前
开放映冬完成签到,获得积分10
15秒前
15秒前
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
Römisch-Germanische Forschungen 1000
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 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 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7607060
求助须知:如何正确求助?哪些是违规求助? 9182944
关于积分的说明 19668747
捐赠科研通 7181323
什么是DOI,文献DOI怎么找? 3269729
关于科研通互助平台的介绍 2433583
邀请新用户注册赠送积分活动 2264042