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Title: Risking it all in the metaverse ecosystem: forecasting resistance towards the enterprise metaverse

Journal: Information Technology and People

This study investigates organizations’ non-adoption intention towards the enterprise metaverse. The innovation
resistance theory (IRT) is used as an underpinning theory to examine the impact of various risks on non-adoption
intention towards the enterprise metaverse. Design/methodology/approach: A total of 294 responses were collected to

examine the proposed hypotheses. A structural equation modelling technique was used to investigate the hypotheses

using SPSS AMOS and PROCESS MACRO. Findings: The results of this study reveal that performance, security and
psychological risks are significantly associated with non-adoption intention towards enterprise metaverse. Further,
distrust significantly meditates the association between performance risk, social risk, technological dependence

risk, security risk and psychological risk and non-adoption intention towards enterprise metaverse. Moreover, the

results of moderated-mediation hypotheses indicate that the mediating effect of distrust on the association among
performance risk, social risk, psychological risk and non-adoption intention towards enterprise metaverse is higher for
individuals having high technostress compared to individuals having low technostress. Originality/value: The study’s

findings will enrich the metaverse literature. Further, it provides a deeper understanding of enterprise metaverse

adoption from a B2B perspective using the underpinnings of IRT. The study helps organizations understand the risks
associated with the adoption of the enterprise metaverse.

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