Comparing information completeness in brand-related user-generated content media

IF 12.9 1区 管理学 Q1 BUSINESS
Sanghyun Park, Sungjoo Lee
{"title":"Comparing information completeness in brand-related user-generated content media","authors":"Sanghyun Park,&nbsp;Sungjoo Lee","doi":"10.1016/j.techfore.2025.124048","DOIUrl":null,"url":null,"abstract":"<div><div>Due to the contemporary globalized environment, business demands have become more dynamic and complex. Companies need to capture such demands to sustain and grow further in the market, for which various sources of information have been exploited. One of these is brand-related media. UGC from the media platform includes rich information on customer opinions and feedback for products and services. Recognizing the value of UGC, previous studies have proposed an approach to extract customer needs from media platforms. However, most of these studies have focused only on a single UGC platform, whereas diverse brand-related media exist and provide heterogeneous information. To address this issue, we develop a framework to evaluate the characteristics of brand-related UGC information and compare four different UGC media, including Amazon, ProQuest, Reddit, and YouTube, in terms of how rich they are in providing semantic, sentimental, and trend information based on a quantitative approach. The research results indicate that brand-related UGC media can have their own distinguishing features in the information they provide and thus need to be carefully adopted for market research. These findings offer meaningful implications for the use of brand-related UGC to identify innovation opportunities based on market needs.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"214 ","pages":"Article 124048"},"PeriodicalIF":12.9000,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Technological Forecasting and Social Change","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0040162525000794","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0

Abstract

Due to the contemporary globalized environment, business demands have become more dynamic and complex. Companies need to capture such demands to sustain and grow further in the market, for which various sources of information have been exploited. One of these is brand-related media. UGC from the media platform includes rich information on customer opinions and feedback for products and services. Recognizing the value of UGC, previous studies have proposed an approach to extract customer needs from media platforms. However, most of these studies have focused only on a single UGC platform, whereas diverse brand-related media exist and provide heterogeneous information. To address this issue, we develop a framework to evaluate the characteristics of brand-related UGC information and compare four different UGC media, including Amazon, ProQuest, Reddit, and YouTube, in terms of how rich they are in providing semantic, sentimental, and trend information based on a quantitative approach. The research results indicate that brand-related UGC media can have their own distinguishing features in the information they provide and thus need to be carefully adopted for market research. These findings offer meaningful implications for the use of brand-related UGC to identify innovation opportunities based on market needs.
比较品牌相关用户生成内容媒体的信息完整性
由于当今全球化的环境,业务需求变得更加动态和复杂。公司需要抓住这些需求,以在市场上维持和进一步增长,为此,各种信息来源已经被利用。其中之一就是与品牌相关的媒体。来自媒体平台的UGC包含了丰富的客户对产品和服务的意见和反馈信息。认识到UGC的价值,之前的研究提出了一种从媒体平台中提取客户需求的方法。然而,这些研究大多集中在单一的UGC平台上,而与品牌相关的媒体种类繁多,提供的信息也不尽相同。为了解决这个问题,我们开发了一个框架来评估与品牌相关的UGC信息的特征,并比较了四种不同的UGC媒体,包括亚马逊、ProQuest、Reddit和YouTube,根据定量方法,他们在提供语义、情感和趋势信息方面的丰富程度。研究结果表明,与品牌相关的UGC媒体在提供的信息上可以有自己的特色,因此需要在市场研究中谨慎采用。这些发现为利用与品牌相关的UGC根据市场需求识别创新机会提供了有意义的启示。
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
CiteScore
21.30
自引率
10.80%
发文量
813
期刊介绍: Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.
×
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