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Smart Systems and Collaborative Innovation Networks for Productivity Improvement in SMEs

Andrew Thomas Orcid Logo, Wyn Morris Orcid Logo, Claire Haven-Tang Orcid Logo, Mark Francis Orcid Logo, Paul Byard

Journal of Open Innovation: Technology, Market, and Complexity, Volume: 7, Issue: 1, Start page: 3

Swansea University Author: Andrew Thomas Orcid Logo

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DOI (Published version): 10.3390/joitmc7010003

Abstract

The adoption of Smart Manufacturing Systems in manufacturing companies is often seen as a strategy towards achieving improvements in productivity. However, there is little evidence to indicate that UK manufacturing SMEs are prepared for the implementation of such systems. Through the employment of a...

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Published in: Journal of Open Innovation: Technology, Market, and Complexity
ISSN: 2199-8531
Published: Elsevier BV 2021
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URI: https://cronfa.swan.ac.uk/Record/cronfa66949
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first_indexed 2024-07-04T23:38:05Z
last_indexed 2024-07-04T23:38:05Z
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spelling v2 66949 2024-07-04 Smart Systems and Collaborative Innovation Networks for Productivity Improvement in SMEs 13d5ed33bce79c052f678401128e4ca1 0000-0002-1942-7050 Andrew Thomas Andrew Thomas true false 2024-07-04 CBAE The adoption of Smart Manufacturing Systems in manufacturing companies is often seen as a strategy towards achieving improvements in productivity. However, there is little evidence to indicate that UK manufacturing SMEs are prepared for the implementation of such systems. Through the employment of a triangulation research approach involving the detailed examination of 36 UK manufacturing SMEs from three manufacturing sectors, this study investigates the level of awareness and understanding within SMEs of Smart Manufacturing Systems. The development of a profiling tool is shown and is subsequently used to audit company awareness and understanding of the key technologies, collaborative networks and systems of SMS. Further information obtained from semi-structured interviews and observations of manufacturing operations provide further contextual information. The findings indicate that whilst the priority technologies and systems differ between manufacturing sectors, the key issues around the need for developing appropriate collaborative networks and knowledge management systems are common to all sectors. Journal Article Journal of Open Innovation: Technology, Market, and Complexity 7 1 3 Elsevier BV 2199-8531 manufacturing; productivity profile; Smart Manufacturing Systems; survey 1 3 2021 2021-03-01 10.3390/joitmc7010003 COLLEGE NANME Management School COLLEGE CODE CBAE Swansea University This research received no external funding. 2024-09-13T12:21:20.6817790 2024-07-04T14:42:02.9732704 Faculty of Humanities and Social Sciences School of Management - Business Management Andrew Thomas 0000-0002-1942-7050 1 Wyn Morris 0000-0003-4355-2211 2 Claire Haven-Tang 0000-0001-8197-9959 3 Mark Francis 0000-0003-1029-3831 4 Paul Byard 5 66949__31316__ad4a13ce8cd64a00a1e2a74d6c840bec.pdf 66949.VoR.pdf 2024-09-13T12:17:45.8204064 Output 1956182 application/pdf Version of Record true © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license true eng http://creativecommons.org/licenses/by/4.0/).
title Smart Systems and Collaborative Innovation Networks for Productivity Improvement in SMEs
spellingShingle Smart Systems and Collaborative Innovation Networks for Productivity Improvement in SMEs
Andrew Thomas
title_short Smart Systems and Collaborative Innovation Networks for Productivity Improvement in SMEs
title_full Smart Systems and Collaborative Innovation Networks for Productivity Improvement in SMEs
title_fullStr Smart Systems and Collaborative Innovation Networks for Productivity Improvement in SMEs
title_full_unstemmed Smart Systems and Collaborative Innovation Networks for Productivity Improvement in SMEs
title_sort Smart Systems and Collaborative Innovation Networks for Productivity Improvement in SMEs
author_id_str_mv 13d5ed33bce79c052f678401128e4ca1
author_id_fullname_str_mv 13d5ed33bce79c052f678401128e4ca1_***_Andrew Thomas
author Andrew Thomas
author2 Andrew Thomas
Wyn Morris
Claire Haven-Tang
Mark Francis
Paul Byard
format Journal article
container_title Journal of Open Innovation: Technology, Market, and Complexity
container_volume 7
container_issue 1
container_start_page 3
publishDate 2021
institution Swansea University
issn 2199-8531
doi_str_mv 10.3390/joitmc7010003
publisher Elsevier BV
college_str Faculty of Humanities and Social Sciences
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hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Management - Business Management{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Business Management
document_store_str 1
active_str 0
description The adoption of Smart Manufacturing Systems in manufacturing companies is often seen as a strategy towards achieving improvements in productivity. However, there is little evidence to indicate that UK manufacturing SMEs are prepared for the implementation of such systems. Through the employment of a triangulation research approach involving the detailed examination of 36 UK manufacturing SMEs from three manufacturing sectors, this study investigates the level of awareness and understanding within SMEs of Smart Manufacturing Systems. The development of a profiling tool is shown and is subsequently used to audit company awareness and understanding of the key technologies, collaborative networks and systems of SMS. Further information obtained from semi-structured interviews and observations of manufacturing operations provide further contextual information. The findings indicate that whilst the priority technologies and systems differ between manufacturing sectors, the key issues around the need for developing appropriate collaborative networks and knowledge management systems are common to all sectors.
published_date 2021-03-01T12:21:19Z
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