An enhanced framework for reliably managing private participation in infrastructure ICT projects in developing countries

Ayat, Muhammad; Qureshi, Sheheryar Mohsin; Kang, ChangWook

doi:10.1108/jedt-10-2021-0556

Cited by 2 publications

(1 citation statement)

References 61 publications

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“…Jiang et al (2015) concluded political risk as a critical success factor for success of PPI projects (Jiang et al , 2015). Ayat et al (2022) have found that a group of factors including income of the country, climate risk, religious diversity, political stability, regularity quality and control of corruption have a significant impact on the success of PPI projects in the context of developing countries. Further, regularity quality in host country was found another important factor for PPI project success, which can offset the effect of shocks in projects (Ruiz Díaz, 2020).…”

Section: Methodsmentioning

confidence: 99%

The unsolicited proposal and performance of private participation infrastructure projects in developing countries

Ayat

Ullah

Kang

2022

JEDT

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Purpose The primary purpose of this study is to explore the relationship between the unsolicited proposal (USP) and the performance of private participation infrastructure (PPI) projects in developing countries. Design/methodology/approach The main data set for this study was collected from the World Bank database consisting of 8,951 PPI projects that occurred in developing countries from 1996 to 2020. Hierarchical logistic regression was applied for investigating the effects of USPs on project success. Three moderators, namely, control of corruption, presence of local sponsor and project size were also included in the model to test the impact of their interactions with the USP on the performance of PPI projects. Further, to assess the impact of the effect of USPs, the average marginal effect was calculated. The framework used in this study consists of 18 control variables, three moderators and one noncontrolled independent variable (the USP). Findings The results of hierarchical logistic regression indicate that USPs have a significant and negative effect on the success of PPI projects occurring in developing countries. The negative effect of a USP weakens with the presence of local sponsors and stronger control of corruption in the host country. However, contrary to the authors’ expectations, the results show that project size does not significantly affect the association between USPs and the success of PPI projects. Moreover, the results of average marginal effects show that the negative impact of USP on the success of PPI projects ranges between 2.4% and 3.8%. Originality/value This study quantifies the negative impact of USP on the success of PPI projects in developing countries, which will be helpful for the practitioners to understand the associated risk with USP projects. Furthermore, it also identifies the moderating roles of control of corruption and the presence of local sponsors on the relationship between USP and the success of PPI projects.

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Section: Methodsmentioning

confidence: 99%

The unsolicited proposal and performance of private participation infrastructure projects in developing countries

Ayat

Ullah

Kang

2022

JEDT

Self Cite

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Analyzing the differential impact of variables on the success of solicited and unsolicited private participation in infrastructure projects using machine learning techniques

Ayat,

Ullah,

Pervez

et al. 2024

ECAM

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PurposeThe study aims to examine the impact of key variables on the success of solicited and unsolicited private participation in infrastructure (PPI) projects using machine learning techniques.Design/methodology/approachThe data has information on 8,674 PPI projects primarily derived from the World Bank database. In the study, a machine learning framework has been used to highlight the variables important for solicited and unsolicited projects. The framework addresses the data-related challenges using imputation, oversampling and standardization techniques. Further, it uses Random forest, Artificial neural network and Logistics regression for classification and a group of diverse metrics for assessing the performances of these classifiers.FindingsThe results show that around half of the variables similarly impact both solicited and unsolicited projects. However, some other important variables, particularly, institutional factors, have different levels of impact on both projects, which have been previously ignored. This may explain the reason for higher failure rates of unsolicited projects.Practical implicationsThis study provides specific inputs to investors, policymakers and practitioners related to the impacts of several variables on solicited and unsolicited projects separately, which will help them in project planning and implementation.Originality/valueThe study highlights the differential impact of variables for solicited and unsolicited projects, challenging the previously assumed uniformity of impact of the given set of variables including institutional factors.

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An enhanced framework for reliably managing private participation in infrastructure ICT projects in developing countries

Cited by 2 publications

References 61 publications

The unsolicited proposal and performance of private participation infrastructure projects in developing countries

The unsolicited proposal and performance of private participation infrastructure projects in developing countries

Analyzing the differential impact of variables on the success of solicited and unsolicited private participation in infrastructure projects using machine learning techniques

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