1,842
Views
16
CrossRef citations to date
0
Altmetric
Research Article

When positive reviews on social networking sites backfire: The role of social comparison and malicious envy

ORCID Icon, , &
Pages 120-138 | Published online: 07 Jun 2020
 

ABSTRACT

Many studies highlight the merits of positive reviews on social networking sites (SNSs), suggesting that consumers tend to consider these to be trustworthy recommendations. This study draws attention to the potential negative effects of luxury hotels’ positive reviews on SNSs. We propose that positive reviews may encourage social comparison and trigger feelings of malicious envy, thereby negatively influencing purchase intentions. Results from two experiments show that high similarity between the review writer and readers increases readers’ social comparison tendency, which induces malicious envy when the writer is considered undeserving of luxury hotel consumption. This leads to decreased purchase intentions toward the hotel brand mentioned in the review and increased purchase intentions toward competing hotel brands. The findings have implications for buzz marketing strategies seeking to mitigate the risk of eliciting malicious envy on SNSs.

Additional information

Funding

This work was supported by National Natural Science Foundation of China [71902120]; Research Initiation Foundation of Hainan University [kyqd(sk)1931]; Faculty Development Scheme of the Research Grants Council of Hong Kong [UGC/FDS14/B12/19].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 242.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.