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EMAC 2019 Annual Conference


Insights into brand authenticity and customer engagement in a restaurant setting: a text mining approach
(A2019-8573)

Published: May 28, 2019

AUTHORS

Filipa Pinto, Instituto Universitário de Lisboa (ISCTE-IUL) and Business Research Unit (UNIDE-IUL); Sandra Maria Correia Loureiro, Instituto Universitário de Lisboa (ISCTE-IUL), Business Research Unit (BRU-IUL); Lisbon, Portugal; Ricardo Godinho Bilro, Instituto Universitário de Lisboa (ISCTE-IUL), Business Research Unit (BRU-IUL);

KEYWORDS

brand authenticity; customer engagement; user-generated content

ABSTRACT

The aim of this study is to analyze the dimensions of customer engagement, brand authenticity and other related constructs (need for uniqueness and brand love) in customers’ online reviews through text-mining and sentiment analysis trends. This study focuses on Yelp.com comments and use a random sample of 3,877 reviews of restaurants, in ten cities in the USA. A customer engagement and authenticity dictionaries are created, based on previously validated scales and extended using WordNet 2.1. Findings reveal that cognitive processing is the strongest dimension of consumer engagement. Results further indicate that brand love presents lower polarity value compared to brand authenticity, which means that consumer tend to value more the perception of authenticity than the love relationship with the brand to become more engaged.