The aim of this work package is to conceptualize and develop a methodology for Blended Network Action Learning (Blended NAL) in the context of Smart Lean Operations. The methodology will be used to solve actual and relevant challenges in the field of Smart Lean Operations through the development and operation of networks (consisting of enterprise and HEI staff). The Blended NAL approach combines concepts from Network Action Learning and Blended Learning, and will be the basis for performing the pilot projects in WP6.
The main goal is to realize an effective approach for addressing complex problems in practice by (i) understanding and framing specific problems, ii) drawing on existing theories to plan action, (iii) taking action that generates inter- and intra-organizational insight to solve the problem, and (iv) reflecting on the results of the action to generate new knowledge in both the practical and academic communities. As such, we define 4 phases of action learning that are fundamental for the development of the Blended NAL methodology: Constructing, planning action, taking action and reflection.
Figure VII.3.1 Blended Network Action Learning Methodology
Based on inputs from WP1 and WP2, the Blended NAL methodology seeks to address and solve contemporary complex problems in European industry by engaging enterprise – and HEI staff across multiple networks that draw on key and emerging themes in the field of Smart Lean Operations.
dr. Daryl Powell
Status and results