Anglia Ruskin Research Online (ARRO)
Browse
Sherratt_et_al_2020.docx (72.56 kB)

Challenging complacency in construction management research: the case of PPPs

Download (72.56 kB)
journal contribution
posted on 2023-08-30, 17:04 authored by Fred Sherratt, Simon Sherratt, Chris Ivory
Public-Private Partnerships (PPPs) are joint ventures in which the private sector works in partnership with government bodies to deliver public sector projects with the intention to deliver them more quickly, efficiently and with better value for money. They are also one of the most contentious project delivery mechanisms to have been mobilised in recent decades. Research has demonstrated the lack of realised value within many such projects, yet construction management academics continue to examine ways of increasing, implementing and optimising this approach in practice, even encouraging its adoption worldwide despite growing social and political dissatisfaction. Here, we go beyond what we see as myopic construction management perspectives, placing our body of work firmly within wider economic, political and social contexts. We challenge uncritical academic compliance with a process that demonstrably contributes to economic inequalities, opportunism and exploitation. We confront the lack of criticality in construction management research of PPPs, and call for construction management academics to broaden their research focus and engage in more robust critique and analysis of construction systems, as they are realised in practice.

History

Refereed

  • Yes

Volume

38

Issue number

12

Page range

1086-1100

Publication title

Construction Management and Economics

ISSN

1466-433X

Publisher

Taylor & Francis

File version

  • Accepted version

Language

  • eng

Legacy posted date

2020-03-17

Legacy creation date

2020-03-17

Legacy Faculty/School/Department

Faculty of Business & Law

Usage metrics

    ARU Outputs

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC