As an emerging technology, Generative Artificial Intelligence (GAI) is assumed to
be one of the most effective technologies across various levels of management. Yet,
current studies have yet to investigate the factors that affect the adoption of
generative AI tools among employees in the workplace and its impact on the
organization's economic sustainability. This study aims to contribute to our
understanding of GAI adoption and usage factors in organizations and their impact
on economic sustainability in the context of Non-Profit Organizations (NPOs). It
extends the UTAUT theory with AI attributes and privacy risk factors. A quantitative
methodology was followed, and the survey was used as an instrument. Random
Sampling technique was followed and data from 302 employees were collected from
NPO organizations and analyzed, leading to valuable insights and implications. The
results show that most of the factors significantly affect GAI adoption, such as
Facilitating Conditions, Performance Expectancy, Privacy risks, Social Influence,
Perceived Anthropomorphism, and Perceived Animacy. Surprisingly, two factors
were not significant: effort expectancy and perceived intelligence. Also, the effect of
using GAI on economic sustainability is significant. The model explained GAI
adoption with 62.7% predicting power. These results shed light on the importance of
encouraging employees to use GAI in the workplace while ensuring that robust data
protection measures are covered to waive employee concerns.