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Metaverse mingle: Discovering dating intentions in metaverse

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  • Chakraborty, Debarun
  • Patre, Smruti
  • Tiwari, Devisha

Abstract

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.

Suggested Citation

  • Chakraborty, Debarun & Patre, Smruti & Tiwari, Devisha, 2023. "Metaverse mingle: Discovering dating intentions in metaverse," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    • Handle: RePEc:eee:joreco:v:75:y:2023:i:c:s0969698923002564
    DOI: 10.1016/j.jretconser.2023.103509
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    1. Chakraborty, Debarun & Polisetty, Aruna & Rana, Nripendra P., 2024. "Consumers' continuance intention towards metaverse-based virtual stores: A multi-study perspective," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    2. G, Sowmya & Chakraborty, Debarun & Polisetty, Aruna & Jain, Ravi Kumar, 2024. "Exploring the adoption patterns of matrimonial apps: An analysis of user gratifications," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).
    3. Chakraborty, Debarun & Kumar Kar, Arpan & Patre, Smruti & Gupta, Shivam, 2024. "Enhancing trust in online grocery shopping through generative AI chatbots," Journal of Business Research, Elsevier, vol. 180(C).
    4. Kumar, Aman & Shankar, Amit & Nayal, Preeti, 2024. "Metaverse is not my cup of tea! An investigation into how personality traits shape metaverse usage intentions," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
    5. Chakraborty, Debarun & Polisetty, Aruna & G, Sowmya & Rana, Nripendra P. & Khorana, Sangeeta, 2024. "Unlocking the potential of AI: Enhancing consumer engagement in the beauty and cosmetic product purchases," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    6. Ghali, Zohra & Rather, Raouf Ahmad & Khan, Imran, 2024. "Investigating metaverse marketing-enabled consumers’ social presence, attachment, engagement and (re)visit intentions," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
    7. Kumar, Aman & Shankar, Amit & Agarwal, Reeti & Agarwal, Vaishali & Alzeiby, Ebtesam Abdullah, 2024. "With enterprise metaverse comes great possibilities! Understanding metaverse usage intention from an employee perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).
    8. Wang, Linqiang & Feng, Xiuhuan & Zang, Luning, 2024. "Does risk perception influence individual investors' crowdfunding investment decision-making behavior in the metaverse tourism?," Finance Research Letters, Elsevier, vol. 62(PA).

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