Abstract
This pilot study investigates the changing business environment by capturing perspectives of a coding team at a $100M valued advanced software development firm in Australia. This mixed-methods approach captures quantitative and qualitative data from 13 firm advanced coding developers. The small quantitative data set suited multiple regression analyses of quantitative data under Amos 28.0 and inquisitively assesses qualitative data using NVivo 12.0. The study captures three inbound competencies that support the deployment and actioning of three capabilities. This system of drivers coalesces and delivers a net sustainable business operations outcome. Issues are raised with the use of AI in terms of reliability, over-reliance, assumed learning, and security. Findings show AI is still not fully integrated into the business operations, and so generates opportunities identified by respondent coders for increased automation and efficiency of help desk and other routine operations, improving competitiveness. The gender bias towards males in software development is confirmed by this study. The multiple regression model illustrates AI has a role in improving the firm’s ongoing sustainable business operations and efficiency over time. However, many programmers (or coders) are wary of this AI issue, citing security, privacy, and a lack of trust in algorithms used to train advanced digital systems.
Recommended Citation
Maxwell, Stephen J. and Hamilton, John R., "Skilled Software Coder Assessment of the Impact of AI on Coding and Its Implications for Business Development and Sustainability" (2025). ICEB 2025 Proceedings (Hanoi, Vietnam). 25.
https://aisel.aisnet.org/iceb2025/25