McErlane, A; Haran, M; McClements, S and McCord, J (2018) Modelling the drivers for public-private partnerships (PPP) provision of United Kingdom (UK) social infrastructure. In: Gorse, C and Neilson, C J (eds.) Proceedings of 34th Annual ARCOM Conference, 3-5 September 2018, Queen’s University, Belfast, UK.
Abstract
As the devolved governments of the United Kingdom (UK) continue to develop innovations of Public-Private Partnerships (PPP) for social infrastructure provision, through the application of Principal Components Analysis (PCA), this research develops as PPP drivers model for partnership based procurement in the UK. Despite being lambasted for delivering poor Vale for Money (VfM), the regional UK governments have committed to cross-sectoral partnering and subsequently the previous Private Finance Initiative (PFI) has been reformed and replaced with several nuances designed to function across these jurisdictional markets. Thus, the purpose of this enquiry is to investigate the drivers of PPP which validate these frameworks as a credible mechanism for future social infrastructure provision. From an extensive interrogation of literature, this research identified 19 drivers for empirical investigation. With this list, the research invited key PPP stakeholder organisations as per McErlane et al. (2016) to evaluate these drivers by means of quantitative Survey Questionnaires to ascertain salience as well as to derive the inputs to develop the conceptual PPP drivers model. A sample of 220 organisations was invited to participate. The research received 73 responses equating to a response rate of 33%. Using SPSS, data was analysed according to a Relative Importance Index to establish ranking salience as well as Kendall’s Coefficient of Concordance to test for statistical significance. The three foremost ranking drivers respectively were 'improved maintainability', 'improved service quality' and 'incentivised private-sector performance'. In addition to this, through the application of PCA, the research developed a PPP drivers model comprising two key components, namely; 'financial benefits' and 'service efficiencies'. Considered a forefather of PPP, the findings of this research make a valuable contribution internationally and domestically. Moreover, as private-sector participation in infrastructure provision continues to gather momentum, this research offers clarity around strategic project commonalities for improved stakeholder collaboration.
| Item Type: | Conference Paper (Paper) |
|---|---|
| Uncontrolled Keywords: | public-private partnership; social infrastructure provision; confirmatory factor analysis |
| Index terms: | maintainability, partnering, efficiency, survey, confirmatory factor analysis, United Kingdom, relative importance index, partnership, investigation, questionnaire, service quality, private finance initiative, collaboration, modelling, markets |
| Subjects: | risk assessment, data collection methods, economic analysis, analytical methods, contractual arrangements, performance management, maintenance engineering, performance measurement, management, Geography, partnership management, statistical analysis |
| Topics: | Procurement, Risk Management, Stakeholder Management, Engineering Principles, Research Practice, Geographical Context, Business Strategy, Organizational Design, Quality Management |
| Descriptive scope: | 4 PCEA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here