Stakeholders, issues and the shaping of large engineering projects
Name
cameron18a.pdf
Description
Accepted version
Size
234.45 KB
Format
Unknown
Checksum (MD5)
1c57a24745c694da26d13182342a265c
Author(s)
Feng, Wen
Lessard, Donald R.
Cameron, Bruce Gregory
Crawley, Edward F
Date Issued
2019
Journal
Public–Private Partnerships for Infrastructure Development
Publisher
Edward Elgar Publishing
Citation
Feng, Wen. 2019. "Stakeholders, issues and the shaping of large engineering projects."
Version
Author's final manuscript
Abstract
© Raymond E. Levitt, W. Richard Scott and Michael J. Garvin 2019. All rights reserved. Social network analysis (SNA), supported by multiple software tools, has become an accepted methodology to document, visualize and interpret relationships among participants in an organization, community or other social network. Participants are represented as nodes in the network, with various kinds of social interactions _ for example, advice seeking or knowledge sharing _ represented by unidirectional or bidirectional arcs or “edges” connecting the nodes. The stakeholders in a large infrastructure project are drawn from public, private and civic sectors, and the stakeholders in PPP projects become more or less salient at different times during the life cycle of a decades-long public_private partnership (PPP) concession. This chapter extends social network analysis for large projects such as PPPs to consider both direct and indirect, open or closed social and economic value-flows and combines their effects in terms of the utility of each exchange relationship to the focal stakeholder. This allows a given stakeholder _ for example, a public agency, concessionaire or civic organization _ to assess its power relative to other project stakeholders, and to identify possible value exchanges with other participants to align their goals.
MIT Department
Sloan School of Management
System Design and Management Program.
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.4337/9781788973182.00011
