A Suggested Model for Customer Relationship Management with Customer Experience-Oriented Data Optimization in the Mobile Phone Industry

IF 0.1 Q4 SOCIAL SCIENCES, INTERDISCIPLINARY
Kazım Karaboga
{"title":"A Suggested Model for Customer Relationship Management with Customer Experience-Oriented Data Optimization in the Mobile Phone Industry","authors":"Kazım Karaboga","doi":"10.12982/cmujasr.2023.001","DOIUrl":null,"url":null,"abstract":"This study develops a marketing information system algorithm for determining whether and to what degree customers of mobile phone businesses prefer their own brands after experiencing problems with their current product, or in customer service or repair services during or at the end of an average use period for their product. With a process map and system algorithm, a data analytics model required for creating a satisfied and loyal customer group is described based on analysis results obtained by tracking/analyzing customer experiences in different processes. The article‘s findings can help to optimize product, sales, and service development activities focused on business profitability by highlighting data-driven customer experience tracking systems for business. Keywords Customer experience, CRM, Current customer, System algorithm, Conceptual modeling.","PeriodicalId":40330,"journal":{"name":"ASR Chiang Mai University Journal of Social Sciences and Humanities","volume":" ","pages":""},"PeriodicalIF":0.1000,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ASR Chiang Mai University Journal of Social Sciences and Humanities","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12982/cmujasr.2023.001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"SOCIAL SCIENCES, INTERDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

This study develops a marketing information system algorithm for determining whether and to what degree customers of mobile phone businesses prefer their own brands after experiencing problems with their current product, or in customer service or repair services during or at the end of an average use period for their product. With a process map and system algorithm, a data analytics model required for creating a satisfied and loyal customer group is described based on analysis results obtained by tracking/analyzing customer experiences in different processes. The article‘s findings can help to optimize product, sales, and service development activities focused on business profitability by highlighting data-driven customer experience tracking systems for business. Keywords Customer experience, CRM, Current customer, System algorithm, Conceptual modeling.
基于客户体验的手机行业数据优化客户关系管理建议模型
本研究开发了一种营销信息系统算法,用于确定手机企业的客户在当前产品出现问题后,或在产品平均使用期内或结束时的客户服务或维修服务中,是否以及在多大程度上更喜欢自己的品牌。通过流程图和系统算法,基于通过跟踪/分析不同流程中的客户体验获得的分析结果,描述了创建满意和忠诚的客户群所需的数据分析模型。这篇文章的发现可以通过强调数据驱动的企业客户体验跟踪系统,帮助优化专注于企业盈利能力的产品、销售和服务开发活动。关键词客户体验,客户关系管理,当前客户,系统算法,概念建模。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
25
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信