期刊
JOURNAL OF BUSINESS RESEARCH
卷 69, 期 2, 页码 897-904出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.jbusres.2015.07.001
关键词
Big Data; Consumer analytics; Consumer insights; Resource-based theory; Induction; Ignorance
类别
Consumer analytics is at the epicenter of a Big Data revolution. Technology helps capture rich and plentiful data on consumer phenomena in real time. Thus, unprecedented volume, velocity, and variety of primary data, Big Data, are available from individual consumers. To better understand the impact of Big Data on various marketing activities, enabling firms to better exploit its benefits, a conceptual framework that builds on resource-based theory is proposed. Three resources-physical, human, and organizational capital-moderate the following: (1) the process of collecting and storing evidence of consumer activity as Big Data, (2) the process of extracting consumer insight from Big Data, and (3) the process of utilizing consumer insight to enhance dynamic/adaptive capabilities. Furthermore, unique resource requirements for firms to benefit from Big Data are discussed. (C) 2015 Elsevier Inc. All rights reserved.
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