Adoption of Bionic Soft Robots in Organizations: The Role of Information Disclosure and Government Support

Abstract

Bionic soft robots (BSRs) present notable benefits in their versatility, adaptability, and seamless integration across various sectors and societal contexts. However, the widespread adoption of these robots is impeded by regulatory obstacles, sustainability concerns, a shortage of exhaustive research, and inadequate support systems. To address this gap, in this article, an extended unified theory of acceptance and use of technology framework is applied to analyze quantitative data from 320 organizational users applying the partial least square structural equation modeling (PLS-SEM) approach. The research discovers that government support (GS), effort expectancy, facilitating conditions (FCs), and information discourse (ID) have a substantial impact on BSR adoption. These outcomes also reveal that GS favorably regulated the FC and behavior relationships, while ID negatively correlated with social influence and intention relationships. These findings provide researchers and policymakers with theoretical and practical insights for establishing methods to optimize, integrate, and assess the merging of technology and organizational policies.