Realizing Augmenting Technology–Human Symbiosis: A Qualitative Examination from the Organizational Learning Perspective

Abstract

Integrating intelligent machines into human work represents a critical challenge that requires effective cooperation between humans and technology. This article explores the concept of augmenting technology-human symbiosis and investigates the role of organizational learning in facilitating this cooperation. The aim of this qualitative study is to examine the intentions, dimensions, and manifestations of augmenting technology-human symbiosis in work processes and identify pathways to its realization. Data was collected through interviews with 21 senior managers in technical service organizations in China. The study reveals four key aspects of effective symbiosis: coexistence, evolution, asymmetry, and reciprocity. Additionally, it delves into five principles of organizational learning that facilitate optimal symbiosis: team learning, shared vision, personal mastery, mental models, and systems thinking. These findings provide valuable insights for promoting integration and cooperation between augmenting technologies and humans, contributing to the fields of human-computer cooperation and organizational learning. By adopting an organizational learning perspective, this research enhances our understanding of augmenting technology-human symbiosis and paves the way for further research and practical implementation of intelligent machines.