IPD-inspired framework for measuring stakeholder integration in public-private partnerships

Abstract

Purpose In a public-private partnership (PPP), the private sector is represented by a company termed the special purpose vehicle (SPV), which combines different stakeholders including designers, contractors and service providers under one umbrella. Correct SPV team selection is critical to ensure PPP success as the SPV must act as an integrated entity. In fact, unless the SPV takes an active role in developing trust and promoting integration principles, segmentation of interests, highly adversarial atmospheres, loss of value and economic inefficiency will prevail. Absence of awareness of such principles among stakeholders and the scarcity of literature investigating SPV stakeholder integration create great risks that jeopardize project success. Accordingly, to mitigate the aforementioned risks and provide stakeholders with both the knowledge and the tools to instigate and maintain integration, this paper aims to develop and test a framework to measure SPV stakeholder integration, inspired by the correlation between integrated project delivery (IPD) and SPV operations. Design/methodology/approach Following a design science research approach, a structured review is conducted to develop the SPV integration metrics and framework. The framework is then validated through face validation by a panel of industry and academic experts to assess its applicability in measuring SPV integration. Finally, the framework is tested on a well-recognized international PPP project to measure the SPV integration level, and the outcomes are discussed and analyzed. Findings The framework was able to assess the integration level of the studied SPV highlighting several areas of low-integration settings and providing guidance for achieving better integration. Originality/value This research is the first that develops a model to investigate the SPV’s integration level, from a holistic IPD perspective, to enable successful relationship management and enhance collaboration success. This study inspires practical recommendations for PPP practitioners to reduce the risks of segregated SPVs and their contribution to PPP failure.

Evaluating and optimizing performance of public–private partnership projects using copula Bayesian network

“…, 2009; Liu et al. , 2015c; Malaeb and Hamzeh, 2022). Moreover, defects in PPPs’ performance have raised many debates around their nature and brought many financial and management risks to these projects (Hughes et al.…”

“…However, the concentration on PPPs' performance management is scarce in this region. Although many authorities have been looking to develop more sustainable performance models for PPPs (Cheng et al, 2021;Villalba-Romero et al, 2015), the stakeholders' complex relationships and the long-term concessions make PPPs' performance management a more complicated mission (Kwak et al, 2009;Liu et al, 2015c;Malaeb and Hamzeh, 2022). Moreover, defects in PPPs' performance have raised many debates around their nature and brought many financial and management risks to these projects (Hughes et al, 2015).…”

“…This research uses KPIs as one of the most accurate assessments for analyzing the PPPs' performance (Hashim et al, 2017;Yuan et al, 2008) to get to optimum performance conditions as the target and help PPPs' performance management. Regarding the fact that the PPPs are considered complex systems (Liu et al, 2015c;Malaeb and Hamzeh, 2022), utilizing causation methods is one of the most suitable analyzing methods for these types of systems (Ding et al, 2021;Kheirinejad et al, 2022;Yan et al, 2021). Therefore, the Copula theory combined with Bayesian statistics, as a robust causational method suggested for complex multivariable issues (Pan et al, 2019;Wang et al, 2021b), is used to fulfill the research objective and obtain more accurate results.…”

“…Regarding the fact that the PPPs are considered complex systems (Liu et al. , 2015c; Malaeb and Hamzeh, 2022), utilizing causation methods is one of the most suitable analyzing methods for these types of systems (Ding et al. , 2021; Kheirinejad et al.…”

Stakeholders’ Engagement in the Company’s Management as a Driver of Green Competitiveness within Sustainable Development

“…Despite the powerful background in the analysis of the theoretical framework of green competitiveness and stakeholders' roles [13,14,[23][24][25], their results are fragmental and do not consider the impact of stakeholders' engagement in the company's management. As mentioned above, the paper fills the scientific gaps in promoting companies' green competitiveness by developing approaches for the assessment of stakeholders' engagement in the company's management impact on companies' green competitiveness based on partial least squares structural equation modeling (PLS-SEM).…”