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Integrating social knowledge and collaboration tools into dispersed product development

Integrating social knowledge and collaboration tools into dispersed product development

Evans, Richard, Gao, Xiaoyu ORCID: 0000-0001-5625-3654, Martin, Nick and Simmonds, Clive (2015) Integrating social knowledge and collaboration tools into dispersed product development. International Journal of Advanced Corporate Learning, 8 (2). pp. 20-27. ISSN 1867-5565 (Online) (doi:

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Employee collaboration and knowledge sharing is vital for manufacturing organisations wishing to be successful in an ever-changing global market place; Product Development (PD) teams, in particular, rely heavily on these activities to generate innovative designs and enhancements to existing product ranges. To this end, the purpose of this paper is to present the results of a validation study carried out during an Engineering Education Scheme project to confirm the benefits of using bespoke Web 2.0-based groupware to improve collaboration and knowledge sharing between dispersed PD teams. The results of a cross-sectional survey concluded that employees would welcome greater usage of social computing technologies. The study confirmed that groupware offers the potential to deliver a more effective collaborative and knowledge sharing environment with additional communication channels on offer. Furthermore, a series of recommended guidelines are presented to show how PD teams, operating in globally-dispersed organisations, may use Web 2.0 tools to improve employee collaboration and knowledge sharing.

Item Type: Article
Uncontrolled Keywords: Aerospace and Defence Manufacturing, Employee Collaboration, Engineering Education, Product Development, Web 2.0
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Engineering Design in Practice
Faculty of Engineering & Science > School of Engineering (ENN)
Last Modified: 18 Sep 2020 23:36
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None

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