Yes / Purpose – Drawing on signalling theory and focusing on independent restaurants, this research investigates how business signals (transparency information and exposure) affect business transparency, food authenticity, and ultimately purchase intentions.
Design/methodology/approach – Using a 2x2 between-subject experimental design, Study 1 examines the recipe and an internet-famous restaurant, and Study 2 assesses the food supply chain and a celebrity-owned restaurant. Analysis of covariance and PROCESS is used to analyse the data.
Findings – The results suggest that while revealing information on recipes and food supply chains positively affects business transparency, exposure has no significant impact. Additionally, secret recipes and revealed food supply chains contribute to higher food authenticity whilst being a celebrity owner or internet-famous restaurant negatively affects food authenticity.
Research implications – Restaurant managers must be strategic and selective about the kinds of business signals they wish to reveal to customers. Secret recipes lead to higher food authenticity; whereas the revealed recipes and revealed food supply chains elicit higher business transparency. Independent restaurants should not rely on celebrity owners or seek internet fame, as neither type of exposure contributes to transparency or authenticity.
Originality – This study advances the theoretical understanding of signalling theory relating to the determinants of transparency and food authenticity in a hospitality context. Contrary to previous studies, it reveals that exposure, as a transparency signal, has no impact on either business transparency or food authenticity. It extends knowledge and understanding of different types of independent restaurants, especially internet-famous restaurants.
Identifer | oai:union.ndltd.org:BRADFORD/oai:bradscholars.brad.ac.uk:10454/18987 |
Date | 17 May 2022 |
Creators | Yang, H., Song, Hanqun, Ding, Q.S., Wang, H. |
Publisher | Emerald Publishing |
Source Sets | Bradford Scholars |
Language | English |
Detected Language | English |
Type | Article, Accepted manuscript |
Rights | © 2022 Emerald. This accepted manuscript is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. (http://creativecommons.org/licenses/by-nc-nd/4.0/)., CC-BY-NC-ND |
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