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Paper Type
ERF
Abstract
Artificial intelligence (AI) continues to garner increasing interest from businesses seeking to exploit its potential to improve their competitive position in the market. It is clear, however, that simply investing in AI is insufficient to guarantee such outcomes. In this research-in-progress, we describe a multi-year investigation of AI investments, integration with other organizational assets, and resultant outcomes. We formulate a research model in which AI investments are driven by market turbulence and influence organizational performance through organizational agility. We further posit that resource reconfiguration moderates the relationship between AI investment and agility. Data for the investigation is sourced from an annual survey of senior IT executives. We expect our findings to add clarity to the mechanisms through which AI investments benefit firms and to provide normative guidance to practitioners about the optimal ways to invest and integrate AI capabilities into organizational practices.
Paper Number
1654
Recommended Citation
Sun, Adriana and Torres, Russell, "Organizational Interest in Artificial Intelligence: Investments, Integration, and Outcomes" (2024). AMCIS 2024 Proceedings. 11.
https://aisel.aisnet.org/amcis2024/stratcompis/stratcompis/11
Organizational Interest in Artificial Intelligence: Investments, Integration, and Outcomes
Artificial intelligence (AI) continues to garner increasing interest from businesses seeking to exploit its potential to improve their competitive position in the market. It is clear, however, that simply investing in AI is insufficient to guarantee such outcomes. In this research-in-progress, we describe a multi-year investigation of AI investments, integration with other organizational assets, and resultant outcomes. We formulate a research model in which AI investments are driven by market turbulence and influence organizational performance through organizational agility. We further posit that resource reconfiguration moderates the relationship between AI investment and agility. Data for the investigation is sourced from an annual survey of senior IT executives. We expect our findings to add clarity to the mechanisms through which AI investments benefit firms and to provide normative guidance to practitioners about the optimal ways to invest and integrate AI capabilities into organizational practices.
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