{"title":"COVID-19爆发前市场营销科学研究趋势:文献综述","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":"{\"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}","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
摘要
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。
Research Trends in Marketing Science Before COVID-19 Outbreak: A Literature Review
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.