PurposeThis paper sets out to discuss the results of a specific part of a Europe‐wide Delphi study that considers issues of absorptive capacity in European manufacturing. Owing to the importance to competitiveness of increasing innovative capabilities in manufacturing it is highly relevant to explore how a wide community of manufacturing experts experience the phenomenon of absorptive capacity and sense future developments.Design/methodology/approachA two round Delphi method was designed in which more than 3,000 experts from 22 European countries assessed 101 statements. This paper discusses eight statements focused on the issue of absorptive capacity.FindingsThe results show a general consensus about the influence of different inter‐firm relationships in acquiring external knowledge and a diversified knowledge structure for assimilating the acquired knowledge. The study also indicates some potential challenges and contradictions in managing inter‐firm relationships and knowledge diversity as well as perceived barriers for future developments of absorptive capacity.Research limitations/implicationsDelphi survey is an empirical method subject to the limitation of testing or inductively building theoretical concepts.Practical implicationsThe results of the Delphi study are predominantly centred on policy implication and on informing strategic decision‐making at manufacturing firms.Originality/valueThis paper discusses one of the biggest Delphi surveys ever conducted in Europe. Its comprehensiveness increases the value of the results.

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We assess knowledge development and knowledge diffusion for orthopaedic device innovation in South Africa over the period 2000-2015. A structural network analysis is performed on bibliometric data using co-authorship on scientific publications as an indicator of collaboration between different organisations. We apply a Technological Innovation System (TIS) framework, quantitatively assessing the TIS functions 'knowledge creation' and 'knowledge diffusion' in their spatial and sectoral contexts. Network metrics (degree and betweenness centralities), and empirical TIS analyses are used to describe the knowledge functions of the TIS. Our results show that scientific knowledge development has increased as time has progressed, and that university