Visual Management (VM) supporting collaborative practices in infrastructure engineering design

Abstract

Managing the design of complex engineering systems requires an organisational structure and an information system to support collaboration among all stakeholders. Technological developments in information management have the potential to facilitate interactions across physical boundaries, even more during the Covid-19 pandemic. Visual Management (VM) is an information management strategy, as well as a means for communication between individuals, supporting collaborative work. However, there is a lack of effective understanding of how digital VM can support infrastructure engineering design. The adoption of digital collaborative VM in the context addressed is new, under rapid evolution, and there is limited understanding of how the users embrace VM while interacting with it. The aim of the paper is to explore the adoption of VM, focusing on digital whiteboards, to support collaborative practices in design processes. The ongoing investigation is carried out in collaboration with an infrastructure design and consultancy company, and follows the action research approach. The VM effectiveness was investigated by analysing the whiteboards applicability to diverse functions and comparing digital and manual implementations. Initial findings include understanding digital whiteboards as a means for collaboration among individuals with different perceptions to establish a common point of view, as it allows the information to be transferred across time and space, identifies abnormalities, and supports problem-solving. By creating a common ground, it has the potential to support complex and emergent interactions in the collaborative space.

Publication DOI: https://doi.org/10.1088/1755-1315/1101/5/052012
Divisions: College of Engineering & Physical Sciences > School of Infrastructure and Sustainable Engineering > Civil Engineering
Additional Information: Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Published under licence by IOP Publishing Ltd. Funding Information: The authors would like to thank the Innovate UK and the company for the support in this investigation, as well as acknowledge the support received from UKRI through Innovate UK and Knowledge Transfer Partnership programme.
Publication ISSN: 1755-1315
Last Modified: 16 Dec 2024 08:45
Date Deposited: 16 Dec 2022 11:13
Full Text Link:
Related URLs: https://iopscie ... 5/1101/5/052012 (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Conference article
Published Date: 2022-11-01
Accepted Date: 2022-11-01
Authors: Pedó, B
Koskela, L
Tzortzopoulos, P
Tezel, A (ORCID Profile 0000-0003-3903-6126)
Robinson, S

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