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This study aims to investigate how firms can prepare for artificial intelligence (AI) adoption and how AI creates business values for adopting firms. We propose that, first, leveraging AI for value creation depends on the presence of an enabling resource foundation, consisting of a stack of technological and managerial resources. According to the real options theory, the stronger such a resource foundation is, the more valuable the option it creates for a firm to adopt AI, and consequently the firm is more likely to exercise the option to adopt. Second, we propose that, after adoption, the depth of AI use can have negative impacts on employee productivity, while the breadth of AI use can have positive impacts. We empirically validate these hypotheses based on a sample of 6,854 manufacturing firms in a coastal province in China.

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1571

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Aug 10th, 12:00 AM

Unravelling the Business Value of Artificial Intelligence

This study aims to investigate how firms can prepare for artificial intelligence (AI) adoption and how AI creates business values for adopting firms. We propose that, first, leveraging AI for value creation depends on the presence of an enabling resource foundation, consisting of a stack of technological and managerial resources. According to the real options theory, the stronger such a resource foundation is, the more valuable the option it creates for a firm to adopt AI, and consequently the firm is more likely to exercise the option to adopt. Second, we propose that, after adoption, the depth of AI use can have negative impacts on employee productivity, while the breadth of AI use can have positive impacts. We empirically validate these hypotheses based on a sample of 6,854 manufacturing firms in a coastal province in China.

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