Skip navigation

Capturing and sharing product development knowledge using storytelling and video sharing

Capturing and sharing product development knowledge using storytelling and video sharing

Zammit, Joseph Paul, Gao, James and Evans, Richard (2016) Capturing and sharing product development knowledge using storytelling and video sharing. Procedia CIRP, 56. pp. 440-445. ISSN 2212-8271 (doi:10.1016/j.procir.2016.10.081)

[img]
Preview
PDF (Publisher's PDF - Open Access)
16634 GAO_Product_Development_Knowledge_(OA)_2016.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (480kB) | Preview

Abstract

In today’s global marketplace employee knowledge is seen as a crucial asset for organisations, which enables them to gain a sustainable competitive edge over competitors. Much of the knowledge generated during New Product Development (NPD) and NPD testing can be categorised as tacit knowledge, developed from employees’ personal experiences and perceptions during Product Development (PD) projects; this makes it more difficult to capture and document for future sharing. This research explores whether storytelling and video sharing tools are capable of facilitating the capture and sharing of employee knowledge during the PD cycle. It also considers the creation of a knowledge framework that is directly driven by the knowledge user, providing both knowledge direction and content.

Item Type: Article
Additional Information: © 2016 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Uncontrolled Keywords: Collaboration; Knowledge management; Product validation and testing; Social media; Video sharing
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Department of Applied Engineering & Management
Faculty of Engineering & Science > Engineering Design in Practice
Last Modified: 23 Nov 2017 10:18
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/16634

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics