Artificial intelligence and adaptive response to market changes: A strategy to enhance firm performance and innovation

Yulia Sullivan and Samuel Fosso Wamba

Journal of Business Research, 2024, vol. 174, issue C

Abstract: This research examines how AI-powered capabilities can bring value to organizations by enhancing their Adaptive Response to Market Changes (ARMC). Utilizing insights from organizational agility and the dynamic capability framework, we define ARMC as an organization’s ability to promptly identify and adjust to market changes, with customer responsiveness and operational adjustment as foundational competencies. We outline three AI-powered capabilities (AI-enabled automation, AI-enabled analytics, and AI-enabled relational capabilities) as ARMC’s predictors. We posit that the strengths of these relationships depend on environmental hostility and dynamism. Additionally, we propose positive associations between ARMC and three organizational outcomes: firm performance, process innovation, and product innovation. Our research employs a two-stage design, surveying IT and business executives from firms that have adopted AI. The results demonstrate significant interaction effects of environmental hostility and dynamism on the relationships between AI-powered capabilities and ARMC. Furthermore, we find that ARMC positively influences firm performance and innovation.

Keywords: Artificial intelligence; Adaptive response to market changes; Innovation; Firm performance; AI-powered capabilities (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0148296324000043
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:jbrese:v:174:y:2024:i:c:s0148296324000043

DOI: 10.1016/j.jbusres.2024.114500

Access Statistics for this article

Journal of Business Research is currently edited by A. G. Woodside

More articles in Journal of Business Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().