重要提醒:2025.12.15 12:00-12:50期间发布的求助,下载出现了问题,现在已经修复完毕,请重新下载即可。如非文件错误,请不要进行驳回。

Optimal promotion strategies of online marketplaces

晋升(国际象棋) 业务 佣金 营销 计算机科学 政治学 财务 政治 法学
作者
Xianghui Cheng,Shiming Deng,Xuan Jiang,Yanhai Li
出处
期刊:European Journal of Operational Research [Elsevier]
卷期号:306 (3): 1264-1278 被引量:18
标识
DOI:10.1016/j.ejor.2022.08.020
摘要

This paper considers three promotion scenarios, namely seller-leading promotion, platform-leading promotion, and no-leader promotion, and reveals the optimal strategy and decision patterns for these three scenarios using a stylised model and lab experiments. We focus on three research questions for the seller and platform as follows: (1) Which is the optimal choice between unilateral and bilateral promotion under different promotion scenarios? (2) How will the promotion scenarios affect their joint promotion? (3) To a seller/platform, is it always better to proactively initiate promotion event? Result shows that the optimal promotion strategy varies from Seller Promotion Only to joint promotion and then to Platform Promotion Only, along with an increasing commission rate. Joint promotion is optimal only when the commission rate is moderate and when the product's list price is relatively high. The promotion scenario affects the scope and intensity of joint promotion and the profit of the entities. The joint promotion leader has the first-mover advantage, which helps him/her offer fewer coupons but obtain higher profits. To a platform or seller, launching promotion events proactively is not always the best choice. Experiments show that the subjects behaved as predicted. Moreover, the subjects demonstrate distinct decision patterns under different promotion scenarios. Ultimately, our conclusions can provide valuable decision-making guidance to marketing managers in the online marketplace. They can also choose appropriate scenarios on the basis of certain promotion objectives with knowing decision patterns under each scenario.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
无花果应助颖二二采纳,获得10
1秒前
Vicky完成签到,获得积分10
1秒前
1秒前
科研通AI6应助ti采纳,获得150
1秒前
wcc发布了新的文献求助10
2秒前
玺月洛离完成签到,获得积分10
2秒前
西风漂流应助Xilli采纳,获得10
2秒前
3秒前
jin完成签到,获得积分10
3秒前
xwj完成签到,获得积分10
3秒前
Toxic完成签到,获得积分10
3秒前
4秒前
4秒前
霜双双发布了新的文献求助10
4秒前
dd完成签到,获得积分10
4秒前
小棉背心完成签到 ,获得积分10
4秒前
4秒前
4秒前
5秒前
5秒前
6秒前
7秒前
7秒前
yjlzwl完成签到,获得积分10
7秒前
study发布了新的文献求助10
7秒前
卢西奥完成签到,获得积分10
7秒前
7秒前
量子星尘发布了新的文献求助10
8秒前
9秒前
9秒前
9秒前
无名发布了新的文献求助30
10秒前
安殿夏完成签到 ,获得积分10
10秒前
JamesPei应助爱搬玉米采纳,获得10
10秒前
andrew完成签到,获得积分10
10秒前
紫薰发布了新的文献求助10
11秒前
bkagyin应助你妹你妹你妹采纳,获得30
11秒前
思源应助碧蓝贞采纳,获得10
12秒前
tara发布了新的文献求助10
12秒前
引觞甫完成签到,获得积分10
12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
List of 1,091 Public Pension Profiles by Region 1001
Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences 500
On the application of advanced modeling tools to the SLB analysis in NuScale. Part I: TRACE/PARCS, TRACE/PANTHER and ATHLET/DYN3D 500
L-Arginine Encapsulated Mesoporous MCM-41 Nanoparticles: A Study on In Vitro Release as Well as Kinetics 500
Haematolymphoid Tumours (Part A and Part B, WHO Classification of Tumours, 5th Edition, Volume 11) 400
Virus-like particles empower RNAi for effective control of a Coleopteran pest 400
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 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5467656
求助须知:如何正确求助?哪些是违规求助? 4571307
关于积分的说明 14329661
捐赠科研通 4497890
什么是DOI,文献DOI怎么找? 2464141
邀请新用户注册赠送积分活动 1452961
关于科研通互助平台的介绍 1427673