Naslov
Open innovation in the manufacturing industry: A review and research agenda

Autori
Obradović, Tena ; Vlačić, Božidar ; Dabić Marina

Izvornik
Technovation (0166-4972) 102 (2021); 102221, 16

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
open innovation ; manufacturing industry ; multiple correspondence analysis ; HOMALS ; systematic literature review

Sažetak
In today’s competitive world, globalization touches all industries. The open innovation (OI) paradigm has garnered increasing importance in academic research and industrial applications. Considering this interest, this paper aims to synthetize up-to-date findings, outline the intellectual structure of OI within the manufacturing research domain, and suggest a future research agenda. Building upon the content analysis of 239 articles indexed in Web of Science and Scopus databases, using homogeneity analysis by means of alternating least squares (HOMALS), this study reveals the theoretical underpinnings, research trends, and methodologies of this research field. Our analysis revealed that the study of sustainability, commitment-based human resource practices, and Industry 4.0 (I40) represent important future research streams for OI in the manufacturing industry. In collaborating throughout the supply chain, manufacturing firms could minimize production waste, ensure better working conditions, and adapt business models. In the “new normal” posed by the COVID-19 pandemic, it is more important than ever to study the effects of managerial competencies, employee training and development, and reward systems on open cultures in manufacturing firms. This study goes on to outline research opportunities in I40, particularly regarding knowledge exchange and technology transfer among partners and OI’s influence on the adoption of I40 technologies

Izvorni jezik
Engleski

Znanstvena područja
Strojarstvo, Temeljne tehničke znanosti, Interdisciplinarne tehničke znanosti, Ekonomija

Napomena
This research has received funding from the
Horizon 2020 Programme of the European Union
within the OpenInnoTrain project under
grant agreement no. 823971. The content of this
publication does not reflect the official
opinion of the European Union. Responsibility
for the information and views expressed in the
publication lies entirely with the author(s).

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