The Stories You Tell: Crafting Managerially Relevant Articles Based on Qualitative Research

IF 2.1 4区 管理学 Q3 BUSINESS Journal of Advertising Research Pub Date : 2023-05-05 DOI:10.2501/jar-2023-007
M. Akaka, H. Schau
{"title":"The Stories You Tell: Crafting Managerially Relevant Articles Based on Qualitative Research","authors":"M. Akaka, H. Schau","doi":"10.2501/jar-2023-007","DOIUrl":null,"url":null,"abstract":"Advertisers and marketers leverage big data to track and influence consumer behaviors, (re)evaluate messages, and enhance customer engagement through digital platforms. But these data do not capture the complexity of market contexts or address questions about how or why specific behaviors occur. The authors provide a pathway for unearthing insights from deep data to inform marketing strategy. They call for the use of qualitative research to organize chaos, capture lived experiences, and investigate diffusion of social practices. This paper offers a primer for crafting managerially relevant articles. The authors demonstrate how to use qualitative methods through a practitioner-oriented, systematic sensemaking process.","PeriodicalId":51400,"journal":{"name":"Journal of Advertising Research","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Advertising Research","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.2501/jar-2023-007","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0

Abstract

Advertisers and marketers leverage big data to track and influence consumer behaviors, (re)evaluate messages, and enhance customer engagement through digital platforms. But these data do not capture the complexity of market contexts or address questions about how or why specific behaviors occur. The authors provide a pathway for unearthing insights from deep data to inform marketing strategy. They call for the use of qualitative research to organize chaos, capture lived experiences, and investigate diffusion of social practices. This paper offers a primer for crafting managerially relevant articles. The authors demonstrate how to use qualitative methods through a practitioner-oriented, systematic sensemaking process.
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
你讲述的故事:基于定性研究的管理相关文章
广告商和营销人员利用大数据来跟踪和影响消费者行为,(重新)评估信息,并通过数字平台提高客户参与度。但这些数据并没有反映市场环境的复杂性,也没有解决特定行为如何或为何发生的问题。作者提供了一条从深度数据中挖掘洞察力的途径,从而为营销策略提供信息。他们呼吁使用定性研究来组织混乱,捕捉生活经验,并调查社会实践的传播。本文为撰写管理相关文章提供了基础。作者演示了如何通过一个面向从业者的、系统的意义构建过程来使用定性方法。
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
4.20
自引率
12.00%
发文量
25
期刊介绍: The ARF is the preeminent professional organization in the field of advertising, market and media research. Its combined membership represents more than 325 advertisers, advertising agencies, research firms, media companies, educational institutions and international organizations. Founded in 1936 by the Association of National Advertisers and the American Association of Advertising Agencies, the ARF leads key industry learning initiatives that increase the contribution of research to better marketing, more effective advertising and profitable organic growth. The principal mission of The ARF is to improve the practice of advertising, marketing and media research in pursuit of more effective marketing and advertising communications.
期刊最新文献
Why Shorter Advertisement Breaks Reduce Radio Advertisement Avoidance Tips for Advertising Professionals Submitting to JAR TheJAR2024 List of Research Priorities The Impact of Fusion Metaphors in Health Appeals on Consumer Attitudes Pride Appeals and Temporal Framing Compatibility Effects in Green Advertising
×
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