Abstract
The Pakistan Government has directed its’ software industry, and its over 3000 registered software and AI (SAI) houses, to expand global, and to maintain the industry’s competitiveness both domestically and internationally. This research delineates pathways that can raise the net sustainable performance of Pakistan SAI houses whilst driving this industry’s ongoing dynamically advancing digital global intelligences. Literature supported constructs, and a theoretically developed relational framework model are used to CB-SEM model and interpret how Pakistan’s software houses as an industry may consider optimizations across their network of rapid-action SAI capabilities approaches. Model robustness is confirmed against composite, hybrid, and full parameter complex CB-SEM modelling approaches. Key deliverance pathway solutions are highlighted as possible best deliverance options towards advancing existing sustainable performance outcomes.
Recommended Citation
Ali, Syeda Arfa and Hamilton, John R., "Delivering Software and AI Sustainable Performance: A Stagewise CB-SEM Pathways Approach" (2025). ICEB 2025 Proceedings (Hanoi, Vietnam). 6.
https://aisel.aisnet.org/iceb2025/6