Surviving generative AI: Temporal trajectory of resilience in stack overflow and Github

Scholtz, Dewan, Griva, Anastasia, & Conboy, Kieran. (2025). Surviving generative AI: Temporal trajectory of resilience in stack overflow and Github. Paper presented at the LMDE 2025 (Leading and Managing in the Digital Era): Shaping the Future with AI and Data Analytics, Athens, Greece, 13-17 June.

Abstract

Platforms such as Stack Overflow and GitHub serve as the lifeblood for global knowledge exchange for software development, yet they face profound challenges from emerging technologies like Generative AI (GAI) that accelerate knowledge creation (Chen et al., 2024) and effectively mimics humans – creating challenges ensuing human-governed, open-knowledge IS systems. These crowd-driven environments operate with a distinctive blend of openness and decentralised user governance, making them especially vulnerable when their established governance structures are disrupted. In open-knowledge platforms, the unpredictable nature of the crowd, and its importance in setting the trajectory as disruptions occur, complicates the organisation’s capacity to absorb shocks, adapt, and transform in response (Zamani et al., 2022). Understanding the temporal dynamics of these responses is crucial, as resilience is not a static state, but an evolving process shaped by how crowds engage with change over time (Hernes et al., 2025).

Publisher

LMDE Leading and Managing in the Digital Era

Rights

Attribution-NonCommercial-NoDerivatives 4.0 International

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