Harnessing generative AI for self-directed learning: Perspectives from top management

Abstract

Purpose The purpose of this paper is to explore the potential of generative AI-driven self-directed learning from the perspective of top management in the Sri Lankan software industry. By applying open innovation theory, the study aims to understand how business leaders perceive the integration of generative AI tools in organizational learning processes. The insights gained are intended to inform and encourage top management to promote generative AI-driven self-directed learning within their organizations. Design/methodology/approach The research utilized a qualitative approach, conducting semi-structured interviews with eight senior managers from IT companies in Colombo, Sri Lanka. Data was synthesized and analyzed thematically to identify patterns and insights regarding generative AI-driven self-directed learning and its organizational impact. Findings The study reveals that top management in Sri Lanka's software industry perceives generative AI-driven self-directed learning positively. This perception is rooted in the alignment of such learning with open innovation principles, emphasizing knowledge sharing, collaboration and the integration of external expertise to drive innovation. Generative AI tools empower employees to access diverse knowledge sources, fostering continuous learning and adaptability. Leaders recognize these tools' potential to enhance organizational innovation ecosystems and competitive advantage. The findings suggest that active support from top management, customized training programs and a culture that embraces continuous learning and innovation are crucial for successful implementation. Originality/value This paper uniquely explores generative AI-driven self-directed learning through the lens of top management in Sri Lanka's software industry, integrating open innovation theory to highlight its potential in enhancing organizational knowledge, collaboration and competitive advantage.