Unstructured data in marketing

被引:0
作者
Bitty Balducci
Detelina Marinova
机构
[1] University of Missouri,Robert J. Trulaske College of Business
来源
Journal of the Academy of Marketing Science | 2018年 / 46卷
关键词
Unstructured data; Machine learning; Deep learning; Artificial intelligence; Nonverbal; Image; Video; Voice; Text; Linguistics; Acoustic; Big data; Text mining;
D O I
暂无
中图分类号
学科分类号
摘要
The rise of unstructured data (UD), propelled by novel technologies, is reshaping markets and the management of marketing activities. Yet these increased data remain mostly untapped by many firms, suggesting the potential for further research developments. The integrative framework proposed in this study addresses the nature of UD and pursues theoretical richness and computational advancements by integrating insights from other disciplines. This article makes three main contributions to the literature by (1) offering a unifying definition and conceptualization of UD in marketing; (2) bridging disjoint literature with an organizing framework that synthesizes various subsets of UD relevant for marketing management through an integrative review; and (3) identifying substantive, computational, and theoretical gaps in extant literature and ways to leverage interdisciplinary knowledge to advance marketing research by applying UD analyses to underdeveloped areas.
引用
收藏
页码:557 / 590
页数:33
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