The Government Metaverse: Charting the Coordinates of Citizen Acceptance

Abstract

The primary aim of this study is to examine citizens' intentions to adopt meta-government (or metaverse government) by investigating the influence of various enablers and barriers on adoption intentions. Drawing upon the Technology Acceptance Model, this research utilizes a dual factor approach to examine how herd behavior, perceived ease of use, perceived usefulness, perceived cyber risks, and resistance to change impact intentions to adopt meta-government. A total of 371 responses were collected and analyzed using Structural Equation Modeling. The results highlight the significance of herd behavior, perceived ease of use, and perceived usefulness in facilitating adoption intentions, while perceived cyber risks negatively affect both adoption intentions and perceived usefulness. This study contributes original insights into the key facilitators and obstacles citizens encounter when considering meta-government adoption, addressing a gap in the literature.