Analysis of Factors Influencing the Acceptance Level of ChatGPT of Developer in Software Development in Indonesia

Abstract

The urgency of IT Professionals to solve their tasks becomes more prominent in this digital era. Business competitiveness keeps on increasing, leaving less determined companies to get left behind. As stated by technology leaders, 58% of them believe that developer roles are crucial to determining a company’s success. With the advent of Generative AI Assistance, namely ChatGPT, and its ability to perform programming-related tasks such as software creation, debugging, refactoring, and more, made ChatGPT’s acceptance by the developers essential to increase their productivity. To understand how developer behavior intention to use, this study will employ UTAUT methodology as a technology acceptance model with PLS-SEM, added with constructs such as personal innovativeness and attitude towards AI. It was found that the default constructs in UTAUT framework such as performance expectancy, effort expectancy, social influence, facilitating conditions, and also the propopsed constuct, attitude towards AI, were found to be significant to the behavioral intention. From this research, stakeholders hopefully could have a broader comprehension of acceptance factors and possibly implement targeted strategies to increase competitive advantage from the IT employee side.