Hasan, Rajibul and Abdunurova, Assem (2020) A Picture Can Tell a Thousand Words: Understanding Visual Digital Contents of Chinese Restaurants. In: AIRSI2020, 3-4 September 2020, Zaragoza University Spain.

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Abstract

This empirical study has theoretical and practical implications for restaurant image and marketing management in social media. First, the study shows which specific aspects of restaurant services, reflected in the visual content provided by users and managers of restaurants, actually led to a positive assessment of the reviews. Secondly, this paper provides a text analysis of consumer’s behavior before going to a restaurant and motives to share information after purchasing. Further research should study the behavior of tourists with the addition of variables such as the publication of posts on the first visit and repeated visits to restaurants, time of visit, level of tourist satisfaction.

Item Type:	Conference or Workshop Item (Paper)
Keywords:	Image analysis; Text mining; Deep Learning; Restaurants; Digital consumer behavior;
Academic Unit:	Faculty of Social Sciences > School of Business
Item ID:	15961
Depositing User:	Rajibul Hasan
Date Deposited:	16 May 2022 11:19
Refereed:	Yes
URI:
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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