Blueprint for a Priming Study to Identify Customer Needs in Social Media Reviews
Blueprint for a Priming Study to Identify Customer Needs in Social Media Reviews
复制标题
确定社交媒体评论中客户需求的启动研究蓝图
DOI：
10.1007/978-3-030-27928-8_13
复制
发表时间：
--
期刊：
影响因子：
--
通讯作者：
R. Schmitt
中科院分区：
文献类型：
--
作者：
K. Briele;A. Krause;M. Ellerich;R. Schmitt
在饱和的消费品市场，社交网络中不偏不倚的顾客评论可能是创新的关键。客户评论不仅直接提供有关产品的信息，还提供对用户环境、客户习惯和使用行为的洞察。这些潜在的需求在评论中被客观地描述出来。这项研究旨在克服最先进的机器学习算法只能提取明确声明的需求的弱点。这项研究的关键部分是开发的方法来记录和评估测试对象的反应时间，以分析潜在需求类别和相关单词之间的关联。结果，我们获得了表达与潜在需求关联的词簇，并为即将到来的专注于提取和利用这些需求的研究提供了蓝图。这些知识可用于在自动化需求识别过程和客户驱动的生产中进行进一步研究。
Unbiased customer reviews in social networks may hold the key for innovations in the saturated market of consumer goods. Customer reviews do not only offer information directly about the product, they also provide insights into the user’s environment, customer habits and usage behaviour. These latent needs are stated objectively in reviews. This study aims to overcome the weakness of state-of-the-art machine-learning algorithms that can only extract explicitly stated needs. Key part of the study is the developed method to record and evaluate the reaction time of test subjects to analyse the association between a latent need category and a related word. As a result, we obtain word clusters that express an association with a latent need and a blueprint for upcoming studies that focus on the extraction and utilizing these needs. This knowledge can be used for further research in an automated need identification process and customer driven production.
顺序启动和相关任务的实用指南
DOI：
--
发表时间：
2010
期刊：
影响因子：
--
作者：
D. Wentura;Juliane Degner
通讯作者：
Juliane Degner
影响因子：
8.5
作者：
Bulatov, Konstantin B.;Ingacheva, Anastasia S.;Gilmanov, Marat I.;Chukalina, Marina V.;Nikolaev, Dmitry P.;Arlazarov, Vladimir V.
通讯作者：
Arlazarov, Vladimir V.
新产品开发中的客户整合——关于不同客户整合方法获取客户知识的适当性的文献综述
影响因子：
10.5
作者：
Shkodran Zogaj;U. Bretschneider
通讯作者：
U. Bretschneider