Making sense of consumers' tweets: Sentiment outcomes for fast fashion retailers through big data analytics
Article
Pantano, E., Giglio, S. and Dennis, C. 2019. Making sense of consumers' tweets: Sentiment outcomes for fast fashion retailers through big data analytics. International Journal of Retail & Distribution Management. 47 (9), pp. 915-927. https://doi.org/10.1108/IJRDM-07-2018-0127
Type | Article |
---|---|
Title | Making sense of consumers' tweets: Sentiment outcomes for fast fashion retailers through big data analytics |
Authors | Pantano, E., Giglio, S. and Dennis, C. |
Abstract | Purpose- Consumers online interactions, posts, rating and ranking, reviews of products/attractions/restaurants and so on lead to a massive amount of data that marketers might access to improve the decision-making process, by impacting the competitive and marketing intelligence. The aim of this research is to help to develop understanding of consumers online generated contents in terms of positive or negative comments to increase marketing intelligence. |
Keywords | Online consumer behaviour; Fast fashion; Big Data analytics; Consumer-generated contents; E-word of mouth communication ; User-generated contents (UGC) |
Publisher | Emerald |
Journal | International Journal of Retail & Distribution Management |
ISSN | 0959-0552 |
Electronic | 1758-6690 |
Publication dates | |
Online | 07 Nov 2018 |
09 Sep 2019 | |
Publication process dates | |
Deposited | 12 Oct 2018 |
Accepted | 11 Oct 2018 |
Output status | Published |
Accepted author manuscript | |
Copyright Statement | This is the accepted version of the manuscript "Making sense of consumers’ tweets: sentiment outcomes for fast fashion retailers through big data analytics", published in the journal "International Journal of Retail & Distribution Management" available via the journal site at:https://doi.org/10.1108/IJRDM-07-2018-0127. This article is © 2018, Emerald Publishing Limited and permission has been granted for this version to appear here. Emerald does not grant permission for this article to be further copied/distributed or hosted elsewhere without the express permission from Emerald Group Publishing Limited. |
Digital Object Identifier (DOI) | https://doi.org/10.1108/IJRDM-07-2018-0127 |
Web of Science identifier | WOS:000481820100002 |
Language | English |
https://repository.mdx.ac.uk/item/87z63
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