Metaverse mingle: Discovering dating intentions in metaverse

The present work represents a mixed-method investigation to redefine Elaboration Likelihood Model (ELM) using some innovative variables to investigate dating-partner behaviour in the metaverse. In addition, it seeks proof that realistic threat and perceived trust have a moderating role in this proposed model. The research is split into two parts: in the first stage, dating app users' responses have been collected from online reviews posted on social media sites. Python have been used to find out the constructs from the content analysis. Then using the constructs second phase have been started where the model has been validated by confirmatory analysis. Perceived trust moderates the association between perceived attitude and dating intention in Metaverse whereas realistic threat don't have. Our research showed that apart from perceived accuracy of information all the other factors are having significant association towards perceived attitude. Our findings highlight the importance of both channels in persuading consumers to try out metaverse dating. In order to earn the users' trust, they must resolve their concerns over privacy and security in the online world. To achieve this, strict user verification and security procedures should be implemented.

Automated summary

The present study redefines the Elaboration Likelihood Model (ELM) through a mixed-method investigation to examine dating-partner behavior in the metaverse using innovative variables. It also investigates the moderating role of realistic threat and perceived trust in the proposed model. The research consists of two parts: the first collects dating app users' responses from online reviews on social media sites, while the second validates the model through confirmatory analysis using identified constructs. Perceived trust moderates the association between perceived attitude and dating intention in the metaverse, whereas realistic threat does not. The study highlights the importance of various factors in shaping perceived attitude, except for perceived accuracy of information, and emphasizes the need to address privacy and security concerns to gain users' trust.