Paper Type
Short
Paper Number
PACIS2025-1171
Description
In recent years, big data analytics and artificial intelligence (BDA-AI) have gained significant attention from both academics and practitioners. While BDA-AI has been recognized for its role in capability development and value creation, only 10% of companies achieve substantial financial gains—often by integrating AI into organizational learning. However, the external forces, organizational learning, analytics talent capability to organization performance remain underexplored, particularly regarding external (industry competition and data-driven culture) influences. This study addresses this gap by investigating: (1) how competitive pressure and data-driven culture impact firm performance through BDA-AI organizational learning and; (2) whether analytics talent capability moderates this link. Using institutional theory, and knowledge-based view (KBV), this research contributes to understanding how BDA-AI adopting firms develop strong organizational learning capability for organizational performance.
Recommended Citation
Liu, Claude Chien-Hung and Chen, Chris Sheng-chi, "Big data analytics-AI Performance Through Organizational Learning" (2025). PACIS 2025 Proceedings. 14.
https://aisel.aisnet.org/pacis2025/aiandml/aiandml/14
Big data analytics-AI Performance Through Organizational Learning
In recent years, big data analytics and artificial intelligence (BDA-AI) have gained significant attention from both academics and practitioners. While BDA-AI has been recognized for its role in capability development and value creation, only 10% of companies achieve substantial financial gains—often by integrating AI into organizational learning. However, the external forces, organizational learning, analytics talent capability to organization performance remain underexplored, particularly regarding external (industry competition and data-driven culture) influences. This study addresses this gap by investigating: (1) how competitive pressure and data-driven culture impact firm performance through BDA-AI organizational learning and; (2) whether analytics talent capability moderates this link. Using institutional theory, and knowledge-based view (KBV), this research contributes to understanding how BDA-AI adopting firms develop strong organizational learning capability for organizational performance.
Comments
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