Artificial Intelligence Adoption and Organizational Resilience in SMEs: The Roles of Ambidextrous Innovation and Environmental Unpredictability

Organizational resilience is a crucial skill for businesses to withstand environmental instability and pursue sustainable growth. In the volatile, uncertain, complex, and ambiguous (VUCA) era, effectively utilizing artificial intelligence (AI) to enhance organizational resilience has become a key challenge for small and medium-sized enterprises (SMEs). This paper examines how AI adoption affects organizational resilience and the factors that influence this relationship, drawing on the resource-based view and dynamic capabilities theory. Based on survey data from 275 Chinese SMEs, the findings show that AI adoption significantly boosts organizational resilience. Moreover, ambidextrous innovation acts as a mediator, with exploitative innovation serving as the primary pathway. Further analysis indicates that environmental unpredictability strengthens the connection between AI adoption and resilience. These insights deepen the understanding of AI-driven resilience and offer practical guidance for SMEs seeking to build resilience in the face of uncertainty.

Authors

Institutions

Publication Details

Journal
Humanities and Social Sciences Communications
Published
2026-07-01
DOI
https://doi.org/10.1057/s41599-026-08062-6
Primary Topic
Supply Chain Resilience and Risk Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Artificial Intelligence Adoption and Organizational Resilience in SMEs: The Roles of Ambidextrous Innovation and Environmental Unpredictability

Xintian Li, Peng Peng, Huanhuan Hu
Humanities and Social Sciences Communications
Supply Chain Resilience and Risk Management
article

Artificial Intelligence Adoption and Organizational Resilience in SMEs: The Roles of Ambidextrous Innovation and Environmental Unpredictability

Xintian Li, Peng Peng, Huanhuan Hu
article en

Abstract

Organizational resilience is a crucial skill for businesses to withstand environmental instability and pursue sustainable growth. In the volatile, uncertain, complex, and ambiguous (VUCA) era, effectively utilizing artificial intelligence (AI) to enhance organizational resilience has become a key challenge for small and medium-sized enterprises (SMEs). This paper examines how AI adoption affects organizational resilience and the factors that influence this relationship, drawing on the resource-based view and dynamic capabilities theory. Based on survey data from 275 Chinese SMEs, the findings show that AI adoption significantly boosts organizational resilience. Moreover, ambidextrous innovation acts as a mediator, with exploitative innovation serving as the primary pathway. Further analysis indicates that environmental unpredictability strengthens the connection between AI adoption and resilience. These insights deepen the understanding of AI-driven resilience and offer practical guidance for SMEs seeking to build resilience in the face of uncertainty.

Humanities and Social Sciences Communications
Shandong Jianzhu University (CN), Qingdao University of Technology (CN)
Openalex Percentile: Top 6%
Supply Chain Resilience and Risk Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.