Research Trends in Marketing Science Before COVID-19 Outbreak: A Literature Review

Noveri Maulana
{"title":"Research Trends in Marketing Science Before COVID-19 Outbreak: A Literature Review","authors":"Noveri Maulana","doi":"10.2478/mmcks-2020-0030","DOIUrl":null,"url":null,"abstract":"Abstract The research trends after COVID-19 pandemic will be changing and more challenging. This study is aimed to review the trends of marketing research in the first semester of 2020. There are three parts of this analysis. First, review was made to summarize the trend of research domain and model. Second, the trend of data collection method is also synthesized. Third, trends of data analysis method are being categorized. Result shows that before COVID-19 outbreak, research model in marketing studies was dominated by Literature Review articles (systematic, integrative, and meta-analysis), and also Experimental Studies on various consumer behaviour topics. In term of data collection methods, Purposive Sampling and Amazon Mechanical Turk (MTurk) are two approaches that popularly used by the researchers. On the trend of data analysis method, ANOVA, Regression, and Qualitative Analysis are three popular methods which used among the studies. Future research agendas after the pandemic are also discussed in this study.","PeriodicalId":44909,"journal":{"name":"Management & Marketing-Challenges for the Knowledge Society","volume":null,"pages":null},"PeriodicalIF":1.9000,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Management & Marketing-Challenges for the Knowledge Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/mmcks-2020-0030","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 18

Abstract

Abstract The research trends after COVID-19 pandemic will be changing and more challenging. This study is aimed to review the trends of marketing research in the first semester of 2020. There are three parts of this analysis. First, review was made to summarize the trend of research domain and model. Second, the trend of data collection method is also synthesized. Third, trends of data analysis method are being categorized. Result shows that before COVID-19 outbreak, research model in marketing studies was dominated by Literature Review articles (systematic, integrative, and meta-analysis), and also Experimental Studies on various consumer behaviour topics. In term of data collection methods, Purposive Sampling and Amazon Mechanical Turk (MTurk) are two approaches that popularly used by the researchers. On the trend of data analysis method, ANOVA, Regression, and Qualitative Analysis are three popular methods which used among the studies. Future research agendas after the pandemic are also discussed in this study.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
COVID-19爆发前市场营销科学研究趋势:文献综述
COVID-19大流行后的研究趋势将发生变化,更具挑战性。本研究旨在回顾2020年第一学期市场研究的趋势。这个分析分为三个部分。首先,对研究领域和模型的发展趋势进行了综述。其次,综合了数据采集方法的发展趋势。第三,对数据分析方法的发展趋势进行了分类。结果显示,在疫情暴发前,市场营销研究的研究模式以文献综述(Literature Review)文章(系统分析、整合分析和荟萃分析)为主,同时也以各种消费者行为主题的实验研究为主。在数据收集方法方面,研究人员常用的两种方法是purpose Sampling和Amazon Mechanical Turk (MTurk)。在数据分析方法的趋势上,方差分析、回归分析和定性分析是研究中常用的三种方法。本研究还讨论了大流行后的未来研究议程。
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 去求助
来源期刊
CiteScore
6.20
自引率
2.70%
发文量
25
审稿时长
10 weeks
期刊最新文献
Managing energy performance through heat pumps. Success drivers and barriers in residential sector An innovative conceptual model for education and training on hybrid warfare Sales effect of a software product series’ length in Japan Determinants of digital wallet adoption and super app: A review and research model Capital Market Volatility During Crises: Oil Price Insights, VIX Index, and Gold Price Analysis
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1