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Developing Analytical Capabilities in Marketing: Challenges Associated with Usage of Unstructured Data

机译:开发营销中的分析能力:与非结构化数据的使用相关的挑战

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This study generates deeper insights into the practice of using unstructured data in marketing decision making by analyzing key challenges associated with usage of such data.More specifically,this study addresses the following research questions: What challenges do marketing managers face when using(or attempting to use)unstructured data to support their decision making? What are the main stumbling blocks related to unstructured data that prevent development of analytical capabilities in marketing? The study relies on eleven in-depth qualitative interviews with marketing professionals representing international consumer goods companies in Northern Europe,selected through purposeful sampling.All interviews were recorded,transcribed and complemented with field notes.The interview transcriptions and field notes were managed electronically with a help of QSR International's NVivo software.The interview transcripts were reviewed,summary notes made,and thematic analysis performed in accordance with guidelines introduced by Miles and Huberman(1994).First,data was organized into first-order categories(codes)and comparted between sources;and then,significant categories were developed into second-order themes.As a result,the study develops a taxonomy of three categories of challenges,also pointing to potential approaches for overcoming them.
机译:该研究通过分析与使用此类数据的使用相关的关键挑战,在营销决策中使用非结构化数据的实践来实现更深入的见解。此研究涉及以下研究问题:营销经理使用(或试图使用)非结构化数据支持他们的决策?与非结构化数据有关的主要绊脚石是什么,防止在营销中开发分析能力?本研究依赖于代表北欧国际消费品公司的11个深入定性访谈,通过有目的的采样选择。录制了采访,转录和补充了现场票据。面试转录和现场笔记用一个电子方式管理QSR International的NVivo软件的帮助。接受审查成绩单,摘要所取证,并按照Miles和Huberman(1994)所介绍的指导方针进行的主题分析.First,数据被组织成一流类别(代码)并在消息来源;然后,大大类别被发展为二阶主题。结果,该研究发展了三类挑战的分类,也指出潜在的克服方法。

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