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Cited by 768

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

When and How Artificial Intelligence Augments Employee Creativity

Open access
Jia, Nan, Luo, Xueming, Fang, Zheng, Liao, Chengcheng·2024·Academy of Management Journal
DOI 10.5465/amj.2022.0426
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Abstract

Can artificial intelligence (AI) assist human employees in increasing employee creativity? Drawing on research on AI-human collaboration, job design, and employee creativity, we examine AI assistance in the form of a sequential division of labor within organizations: in a task, AI handles the initial portion which is well-codified and repetitive, and employees focus on the subsequent portion involving higher-level problem-solving. First, we provide causal evidence from a field experiment conducted at a telemarketing company. We find that AI assistance in generating sales leads, on average, increases employees’ creativity in answering customers’ questions during subsequent sales persuasion. Enhanced creativity leads to increased sales. However, this effect is much more pronounced for higher-skilled employees. Next, we conducted a qualitative study using semi-structured interviews with the employees. We found that AI assistance changes job design by intensifying employees’ interactions with more serious customers. This change enables higher-skilled employees to generate innovative scripts and develop positive emotions at work, which are conducive to creativity. By contrast, with AI assistance, lower-skilled employees make limited improvements to scripts and experience negative emotions at work. We conclude that employees can achieve AI-augmented creativity, but this desirable outcome is skill-biased by favoring experts with greater job skills.

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Metadata

Authors
Jia, N., Luo, X., Fang, Z., & Liao, C.
Venue
Academy of Management Journal
Publisher
Academy of Management
Published
2024-02
Volume
67
Issue
1
Pages
5-32
ISSN
  • 0001-4273 (ISSN-L)
  • 1948-0989
DOI
10.5465/amj.2022.0426
OpenAlex
W4361019934
Cited by
768
References
13
FWCI
222.89
Type
journal article
Language
en
Open access
green

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