The Mediating Roles of Satisfaction and Perceived Intelligence In Chatgpt Adoption Among Research and Development Employees: An Extended Technology Acceptance Model

Abstract

This study examines how employees in corporate research and development (R&D) units form the intention to use ChatGPT at work, a population that remains underexplored compared with the student samples dominating prior research. Building on an extended Technology Acceptance Model, the study tests whether perceived ease of use, perceived usefulness, and awareness shape behavioural intention to use, with satisfaction and perceived intelligence positioned as dual mediators. Data from 190 R&D employees in Tangerang Regency, Indonesia, obtained through purposive sampling, were analysed using partial least squares structural equation modelling (PLS-SEM). All eight hypothesised direct paths were supported: ease of use and usefulness strengthen satisfaction, awareness builds perceived intelligence, and all five predictors raise behavioural intention, with perceived usefulness as the dominant driver. Perceived intelligence and satisfaction partially transmit the effects of awareness and usefulness, respectively. The findings direct organisations to anchor workplace artificial intelligence adoption strategies in demonstrated usefulness and structured awareness-building.