Negative factors in implementing public–private partnership in Indian road projects

Malek, MohammedShakil S.; Gundaliya, P J

doi:10.1080/15623599.2020.1857672

Cited by 14 publications

(10 citation statements)

References 26 publications

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“…This test at a time compares two means sets, to identify specifically, where the significant dissimilarity exists. Factor analysis (FA) is utilized for recognizing a comparatively less integer merging for factors that are then utilized to indicate interrelation between a set of numerous interrelated variables (Malek & Gundaliya, 2020a). It is a method pertinent when there is a methodical relationship between a set of identified variables.…”

Section: Discussionmentioning

confidence: 99%

“…The value of p for present data (p = 0.000) is less than 0.05, of the significance level, demonstrating that factor analysis can be used with the data (Coakes 2005). The principal component analysis was embraced with the help of the Scree diagram and Kaiser's principles of eigenvalue more than 1 for the extraction of the factors (Malek & Gundaliya, 2020a). The Scree diagram for attractive factors is mentioned in Fig.…”

Section: Discussionmentioning

confidence: 99%

“…Various researchers adopted this approach in the field of construction management (Cheung et al 2010;Dolla & Laishram 2019;Hwang et al 2013). Wider geographic coverage, reduction in bias, greater anonymity, and low cost are some of the advantages of the questionnaire approach (Malek & Gundaliya 2020, 2020a.…”

Section: Methodsmentioning

confidence: 99%

“…Factor loading differs from 0 to 1. Upper values signify a better involvement of a factor to the component is an extent of the grade of involvement (Malek & Gundaliya, 2020a). Also, a positive factor loading signifies a positive association between distinct factors and vice versa.…”

Section: Fig 1 Scree Plot For Attractive Factorsmentioning

confidence: 99%

“…The results are presented in Table II. The labeling of factors is idiosyncratic and theoretic to replicate the conceptual intent (Malek & Gundaliya, 2020a).…”

Section: Fig 1 Scree Plot For Attractive Factorsmentioning

confidence: 99%

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The attractiveness of public-private partnership for road projects in India

Malek¹,

Zala²

2022

10.5267/j.jpm

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The objective of this paper was to have a study on the perceptions of stakeholders of Public-Private Partnership (PPP) projects for factors affecting the attractiveness of road projects in India. A questionnaire survey was conducted among major PPP project participants of Indian PPP road projects. Fifteen attractive factors were shortlisted through a literature survey for designing the questionnaire. Collected data was analyzed with factor analysis and descriptive statistical analysis. The findings resulted in three components: effectiveness of the private sector, effective time and cost management, and the public sector’s economic benefit. Eight factors were identified as highly affecting the attractiveness of PPP in Indian road projects. PPP provides ample diversity of net benefits to both the public and private sectors. During the project development stage, both sectors have to formulate decisions based on appropriate assessment criteria. Therefore, the reflection of attractive factors will assist the public-sector to select PPP in the road sector. It also helps to establish the strategy for road projects using PPP.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Fig 1 Scree Plot For Attractive Factorsmentioning

confidence: 99%

“…The results are presented in Table II. The labeling of factors is idiosyncratic and theoretic to replicate the conceptual intent (Malek & Gundaliya, 2020a).…”

Section: Fig 1 Scree Plot For Attractive Factorsmentioning

confidence: 99%

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