Purpose: This study explores the effect of the adoption of AI tools and frameworks on the productivity of Agile software development teams with high attrition rates. Design/methodology/approach: For this study, uses a combined theory approach to build and test a model for the effects of productivity factors along with the impact of AI technology on to the Agile software development team's productivity having a high attrition rate. A web-based survey is used to collect the sample data, which was eventually tested with the help of SmartPLS using partial least square methods and Bootstrapping. Findings: This study shows that the adoption of AI technology has a partial mediation effect on the Agile software development teams having a high attrition rate but could help sustain it by automating mundane tasks for predictable outputs. Research limitations/implications: Limited availability of data regarding factors of productivity, inadvertent sampling bias, and selecting the appropriate size of a data sample. Originality: The study findings shows that the AI technologies and tools, will help teams to sustain their productivity even though there are constraints like high attrition.
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Sathe et al. (2023) studied this question.
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