Li, Q, Wang, S, Shaw, N et al. (1 more author) (2019) Supply chain partner communication in a managed programme in the UK water industry: A case study with social network analysis. International Journal of Environmental Research and Public Health, 16 (21). ISSN 1661-7827
Abstract
The water industry in every country aims to effectively and efficiently provide water with satisfactory quality in a sustainable and environmentally friendly manner. To this end, it is critical to achieve effective communication among the partners in water supply chain networks. In this paper, we focus on one of the UK’s largest water utility companies and its eight main contractors and analyze the factors influencing partner and network communication in a managed programme of their asset supply chain. We employ social network analysis to conduct the cross-sectional and longitudinal analysis of partner communication. Factors found to influence the communication network are grouping of projects within the programme, individual’s organisational affiliation, status, tenure, elapsed time through the programme lifecycle, and co-location. Our contributions to practice include demonstrating water programme management factors that influence communication and trust and how social network analysis can better inform them about intra-and interorganisational relationships. Moreover, the methodology introduced in this study may be applied to water management in other parts of the world.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited |
Keywords: | programme management; water supply chain; social network analysis; water sustainability |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Business (Leeds) > Management Division (LUBS) (Leeds) > Logistics, Info, Ops and Networks (LION) (LUBS) |
Depositing User: | Symplectic Publications |
Date Deposited: | 19 Nov 2019 11:57 |
Last Modified: | 19 Nov 2019 11:57 |
Status: | Published |
Publisher: | MDPI |
Identification Number: | 10.3390/ijerph16214211 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:153619 |