Abstract
A considerable number of firms are investing in AI technologies as a growing field in industry and research, expecting them to boost revenues, lower costs, and improve business efficiency. However, recent research shows mixed results for AI project adoption. Besides, recent studies highlight the importance of using objective performance indicators to minimise self-reporting bias, but few studies show how to measure AI capability's impact using objective metrics. This research will bridge gaps in previous studies by objectively quantifying AI capability's impact on company performance. This study will explore how to acquire objective data in China, which has distinct open data potential yet differs from Western countries in data accessibility. The resource-based view (RBV) and recent literature are used to conceptualise AI capabilities and company performance in a proposed model. This study expects to contribute to AI capability research by investigating how AI capabilities influence firm performance by combining self-report and objective measures.
Recommended Citation
Liu, Claude CH and Song, Dan Ni, "The Impact of Artificial Intelligence Capabilities on Objective Firm Performance" (2024). CACAIS 2024 Proceedings. 6.
https://aisel.aisnet.org/cacais2024/6