As a research domain, the retail sector has always had many appealing features, such as its
size, its multi-faceted and dynamic nature, the possibility for researchers to exploit their own …

Many studies on big data analytics focused on specialized use cases in business
environments. Studies have been performed on the use of big data analytics in order to …

In this essay, we examine how retailers can use data to make better decisions and hence,
improve their performance. We have been studying retail operations for over two decades …

The paper examines the opportunities in and possibilities arising from big data in retailing,
particularly along five major data dimensions—data pertaining to customers, products …

In this paper, we review the 164 articles published in the Journal of Retailing over the 2002–
2007 time-span, the period reviewed by Grewal and Levy in their recent article entitled …

The pace of retail evolution has increased dramatically, with the spread of the Internet and
as consumers have become more empowered by mobile phones and smart devices. This …

The field of retailing has experienced significant changes in recent years. In this article, we
review articles published in Journal of Retailing over the 2002–2007 time span, classified …

This research presents the use of machine learning analytics and metrics in the retailing
context. We first discuss what is machine learning and explain the field's origins. We then …

In a previous review article [Brown, James R. and Dant, Rajiv P.(2008a),“Scientific Method
and Retailing Research: A Retrospective,” Journal of Retailing, 84 (April), 1–13], we had …

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 …