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!

Customer online shopping experience data analytics

采购 竞争对手分析 市场细分 业务 顾客终身价值 营销 客户情报 消费者行为 客户保留 计算机科学 服务(商务) 服务质量
作者
Eugene Y. Wong,Wei Yan
出处
期刊:International Journal of Retail & Distribution Management [Emerald (MCB UP)]
卷期号:46 (4): 406-420 被引量:44
标识
DOI:10.1108/ijrdm-06-2017-0130
摘要

Purpose The purpose of this paper is to develop a customer online behaviour analysis tool, segment high-value customers, analyse their online purchasing behaviour and predict their next purchases from an online air travel corporation. Design/methodology/approach An operations review of the customer online shopping process of an online travel agency (OTA) is conducted. A customer online shopping behaviour analysis tool is developed. The tool integrates competitors’ pricing data mining, customer segmentation and predictive analysis. The impacts of competitors’ price changes on customer purchasing decisions regarding the OTA’s products are evaluated. The integrated model for mining pricing data, identifying potential customers and predicting their next purchases helps the OTA recommend tailored product packages to its individual customers with reference to their travel patterns. Findings In the customer segmentation analysis, 110,840 customers are identified and segmented based on their purchasing behaviour. The relationship between the purchasing behaviour in an OTA and the price changes of different OTAs are analysed. There is a significant relationship between the flight duration time and the purchase lead time. The next travel destinations of segmented high-value customers are predicted with reference to their travel patterns and the significance of the relationships between destination pairs. Practical implications The developed model contributes to pricing evaluation, customer segmentation and package customization for online customers. Originality/value This study provides novel method and insights into customer behaviour towards OTAs through an integrated model of customer segmentation, customer behaviour and prediction analysis.
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
大幅提高文件上传限制,最高150M (2024-4-1)

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
zxx5313491完成签到,获得积分10
8秒前
jacs111完成签到,获得积分10
12秒前
QQWRV完成签到,获得积分10
1分钟前
1分钟前
醉熏的灵完成签到 ,获得积分10
2分钟前
Sunny-simit完成签到,获得积分20
3分钟前
华仔应助科研通管家采纳,获得30
3分钟前
星辰大海应助科研通管家采纳,获得10
3分钟前
科研通AI2S应助呆呆兽采纳,获得10
4分钟前
大个应助落后从阳采纳,获得10
4分钟前
4分钟前
落后从阳发布了新的文献求助10
4分钟前
5分钟前
orixero应助帅气的熊猫采纳,获得10
5分钟前
呆呆兽发布了新的文献求助10
5分钟前
李健应助科研通管家采纳,获得10
5分钟前
6分钟前
ai zs发布了新的文献求助10
6分钟前
朱朱子完成签到 ,获得积分10
7分钟前
情怀应助呆呆兽采纳,获得10
7分钟前
trojan621发布了新的文献求助10
7分钟前
trojan621完成签到,获得积分10
8分钟前
一剑白发布了新的文献求助10
8分钟前
呆呆兽发布了新的文献求助10
8分钟前
8分钟前
林狗完成签到 ,获得积分10
8分钟前
一剑白完成签到 ,获得积分10
9分钟前
gszy1975完成签到,获得积分10
9分钟前
汉堡包应助gszy1975采纳,获得10
9分钟前
一丢丢完成签到,获得积分10
9分钟前
脑洞疼应助科研通管家采纳,获得10
9分钟前
kokoko应助科研通管家采纳,获得10
9分钟前
优秀的你发布了新的文献求助10
10分钟前
呆呆兽完成签到,获得积分10
10分钟前
呆呆兽发布了新的文献求助30
10分钟前
科研通AI2S应助呆呆兽采纳,获得30
11分钟前
ce关注了科研通微信公众号
11分钟前
11分钟前
MRJJJJ完成签到,获得积分10
11分钟前
ce发布了新的文献求助10
11分钟前
高分求助中
Spray / Wall-interaction Modelling by Dimensionless Data Analysis 2000
Mathematics and Finite Element Discretizations of Incompressible Navier—Stokes Flows 500
A new species of Coccus (Homoptera: Coccoidea) from Malawi 500
2-Acetyl-1-pyrroline: an important aroma component of cooked rice 500
A real-time energy management strategy based on fuzzy control and ECMS for PHEVs 400
Handbook on People's China (1957) 400
2024 Medicinal Chemistry Reviews 400
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3190002
求助须知:如何正确求助?哪些是违规求助? 2839275
关于积分的说明 8023343
捐赠科研通 2502162
什么是DOI,文献DOI怎么找? 1336368
科研通“疑难数据库(出版商)”最低求助积分说明 637818
邀请新用户注册赠送积分活动 605932