Scaling Human Capabilities: A Learning Architecture for Knowledge Management

Abstract

Artificial intelligence is fundamentally changing the nature of knowledge work by providing greater support for the generation, organisation and retrieval of knowledge. Consequently, organisational performance is becoming more dependent on human capabilities such as ownership, collaboration and responsible judgement. While existing learning approaches address individual aspects of this challenge, they rarely combine effectiveness, sustainability and scalability. This study therefore asks which learning architecture can systematically develop collaborative human capabilities while enabling organisation-wide implementation. The development methodology combines a literature review with an action research project and an exploratory pilot evaluation to develop and evaluate the proposed Learning Architecture. The literature review examined peer learning, learning psychology, neuroscience, organisational learning and adult education in order to identify design principles for the development of collaborative capabilities. These findings were then translated into an iterative action research process involving researchers, executives and trainers. The resulting learning approach was then evaluated in six pilot projects involving participants from different organisations. The study developed a Learning Architecture comprising four complementary design elements: Learning Circles as the collaborative learning format. A Learning Cycle as the didactic process. A shared but adaptable curriculum. The Learning Journey as the organisation-wide implementation framework. Together, these elements combine structured organisational orientation with decentralised self-organisation. Participants gave positive evaluations of the learning environment, particularly the self-organisation of the Learning Circles. Knowledge acquisition, reflection, practice and peer feedback were also evaluated positively, whereas workplace tasks were seen as the weakest. Participants further reported perceived improvements across all outcome dimensions, with the strongest effects observed for collaboration within work teams. The study contributes to contemporary knowledge management by proposing a Learning Architecture that systematically connects individual collaborative learning with organisation-wide capability development. It argues that, as explicit knowledge and increasing parts of professional tacit knowledge become more accessible through digital systems, competitive advantage increasingly depends on collaborative capabilities through which knowledge is interpreted, evaluated and responsibly applied in organisational practice. The study provides a structured and scalable mechanism that links knowledge management and organisational learning while preserving decentralised collaborative practice. Although the exploratory pilot does not permit conclusions about long-term behavioural or cultural change, it provides initial empirical support for the proposed conceptual framework and establishes a foundation for future longitudinal research.