The Open innovation (OI) paradigm represents an organizational innovation that can enable manufacturing firms (including those operating in mature industries) and the industry itself to structure their innovation processes more effectively and efficiently, significantly reducing the cost, time, and thus the risk of innovation. Based on these considerations, this paper discusses the topic of OI in manufacturing. Through a systematic and bibliometric literature review, we retrieved from the Scopus database 331 articles published in the major academic journals referenced in the database. The article outlines the evolution of the topic based on publications by year, type of document, country, subject area, source, author, and through a keyword analysis. The results provide a clear picture of the existing literature to identify gaps in current scientific research and propose a future research agenda.
The adoption of Open Innovation in Manufacturing: a review / Bigliardi, B., Dolci, V., Filippelli, S., Petroni, A., Pini, B., Tagliente, L.. - In: PROCEDIA COMPUTER SCIENCE. - ISSN 1877-0509. - 217:(2022), pp. 1765-1774. (4th International Conference on Industry 4.0 and Smart Manufacturing, ISM 2022 Linz 2 November 2022 - 4 November 2022) [10.1016/j.procs.2022.12.376].
The adoption of Open Innovation in Manufacturing: a review
Bigliardi, Barbara
;Filippelli, Serena;Petroni, Alberto;Pini, Benedetta;Tagliente, Leonardo
2022-01-01
Abstract
The Open innovation (OI) paradigm represents an organizational innovation that can enable manufacturing firms (including those operating in mature industries) and the industry itself to structure their innovation processes more effectively and efficiently, significantly reducing the cost, time, and thus the risk of innovation. Based on these considerations, this paper discusses the topic of OI in manufacturing. Through a systematic and bibliometric literature review, we retrieved from the Scopus database 331 articles published in the major academic journals referenced in the database. The article outlines the evolution of the topic based on publications by year, type of document, country, subject area, source, author, and through a keyword analysis. The results provide a clear picture of the existing literature to identify gaps in current scientific research and propose a future research agenda.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
