Knowledge backgrounds and additive manufacturing: moderating effects on part identification approaches and supply chain outcomes
研究了设计导向与供应链导向的专业知识如何影响增材制造中的零件识别决策，发现多样化知识背景需要有效引导才能平衡冲突，并提出了一个结构化决策框架。
This study investigates how knowledge backgrounds influence part identification in additive manufacturing (AM) decision-making. We examine the interplay between design- and supply chain-oriented expertise in shaping whether firms pursue AM-based redesign or 1:1 substitution. Using a multiple-case study approach, we conducted workshops in two defence-related organisations and one workshop beyond the defence sector, analysing how diverse knowledge backgrounds impact decision outcomes. The findings suggest that while diverse expertise fosters creative potential, effective facilitation is necessary to manage conflicting priorities. We introduce a structured decision framework to support AM part identification by balancing design feasibility and supply chain constraints. This study contributes to knowledge management (KM) in AM by demonstrating how absorptive capacity influences decision-making in AM adoption, with implications for organisations integrating AM into their supply chains.