Aerospace Software and AI Sustainability: A Software Developer Capabilities Approach

Abstract

Artificial intelligence (AI) mediated approaches towards generating or refining digital software are influencing the aerospace industry and its emerging, developing, and innovative operational systems. Such firm and/or industry inclusions can enhance entrepreneurial effectiveness and ongoing sustainability. A nationwide Qualtrics survey delivers semi-structured interview summations of registered software-house developers (‘experts) showing nodal thematic data can NVivo project map that stagewise models towards a suite of sustainability outcomes. Respondent software developers consider software house digital and AI new capacities, plus their knowledge creation frame across two capabilities areas that relationally link into an entrepreneurial capabilities suite and a strategic AI product trending capabilities suite. This system likely coalesces, as a digital AI-supported collective, towards enhancements into digital and AI globally sustainable outcomes. The aerospace industry. and their engaged software houses can use this operational approach when strategically planning future ongoing software and AI development inclusions across their globally located corporate aerospace entities, by considering how best to adjust ongoing digital and AI competencies and entrepreneurial capabilities towards delivering enhanced sustainable outcomes. This study suggests a stagewise and measurement model approach can likely be derived to introduce chosen software and AI levers, but these should focus on delivering ongoing digital and sustainable aerospace industry outcomes.