Title: AI-enabled systemic learning: a conceptual framework for employee skill development and organisational performance

Authors: A. Devikomathy; S.K. Manivannan

Addresses: Faculty of Management, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India ' Faculty of Management, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India

Abstract: The systemic learning framework (SLF) as the conceptual paper presents deals with accommodating learning mechanisms in the organisation in the fourth industrial revolution. It combines AI-based learning interventions, social learning climates, and supportive organisational systems to improve performance by developing skills of employees. With a holistic approach, the SLF suggests the use of intelligent learning systems and group-oriented environments in developing employee abilities. The framework highlights that employee skill development mediates between AI-enhanced learning and organisational performance and organisational support moderate technology adoption. The model aims to offer a way to practitioners to use AI and social learning to create competitive advantages, as well as to make contributions to the organisational learning theory, which presents quantifiable paths to the enhanced performance in an ever-digitising environment.

Keywords: AI-enabled learning; artificial intelligence in training; social learning climate; employee skill development; organisational performance; digital learning ecosystems.

DOI: 10.1504/IJLC.2025.152774

International Journal of Learning and Change, 2025 Vol.17 No.5, pp.449 - 465

Received: 06 Sep 2025
Accepted: 31 Dec 2025
Published online: 10 Apr 2026 *

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