TY - JOUR
T1 - Determinants and performance outcomes of artificial intelligence adoption
T2 - Evidence from U.S. Hospitals
AU - Pham, Phuoc
AU - Zhang, Huilan
AU - Gao, Wenlian
AU - Zhu, Xiaowei
N1 - Publisher Copyright:
© 2023 Elsevier Inc.
PY - 2024/2
Y1 - 2024/2
N2 - Integrating Artificial Intelligence (AI) technology in hospitals offers a unique opportunity to improve hospitals’ operating and financial performance. This study is among the first to investigate the determinants and subsequent performance outcomes associated with AI adoption. Using an extensive dataset encompassing 941 AI hospital-year observations and 941 non-AI hospital-year observations, we find that hospitals with a larger market share are great candidates to adopt AI. Furthermore, these hospitals can leverage AI technology to enhance various aspects of performance, including total outpatient revenue, total inpatient revenue, productivity, and occupancy. Importantly, we demonstrate that controlling for endogeneity is essential in assessing the performance outcomes of AI adoption. Our findings shed light on the determinants of AI adoption decisions in healthcare and underscore the manifold benefits AI technology brings to hospital operations and financial outcomes.
AB - Integrating Artificial Intelligence (AI) technology in hospitals offers a unique opportunity to improve hospitals’ operating and financial performance. This study is among the first to investigate the determinants and subsequent performance outcomes associated with AI adoption. Using an extensive dataset encompassing 941 AI hospital-year observations and 941 non-AI hospital-year observations, we find that hospitals with a larger market share are great candidates to adopt AI. Furthermore, these hospitals can leverage AI technology to enhance various aspects of performance, including total outpatient revenue, total inpatient revenue, productivity, and occupancy. Importantly, we demonstrate that controlling for endogeneity is essential in assessing the performance outcomes of AI adoption. Our findings shed light on the determinants of AI adoption decisions in healthcare and underscore the manifold benefits AI technology brings to hospital operations and financial outcomes.
UR - http://www.scopus.com/inward/record.url?scp=85179066944&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85179066944&partnerID=8YFLogxK
U2 - 10.1016/j.jbusres.2023.114402
DO - 10.1016/j.jbusres.2023.114402
M3 - Article
AN - SCOPUS:85179066944
SN - 0148-2963
VL - 172
JO - Journal of Business Research
JF - Journal of Business Research
M1 - 114402
ER -