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Sustainable Social Development Through Enhanced Public-Private Partnership Frameworks With Optimization Techniques
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Author(s): Usharani Bhimavarapu (Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, India,)
Copyright: 2025
Pages: 26
Source title:
Public Private Partnerships for Social Development and Impact
Source Author(s)/Editor(s): Neeta Baporikar (Independent Researcher and Consultant, SP Pune University, India)
DOI: 10.4018/979-8-3373-3471-4.ch003
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Abstract
Public-Private Partnership (PPP) management plays a pivotal role in fostering social development by facilitating the effective implementation of infrastructure projects in critical sectors such as power and transport. This study explores the insights of eight experts, drawn from both public and private sectors, with 5–15 years of experience handling PPP projects. Semi-structured interviews were conducted to gather qualitative data on the challenges, strategies, and outcomes of managing PPP infrastructure projects. To enhance the analysis, feature extraction using Artificial Bee Optimization (ABO) was employed to identify the most impactful attributes in the dataset, while Mean Score Ranking was used to prioritize critical factors. Additionally, techniques such as agreement analysis and factor analysis were optimized using Ant Colony Optimization (ACO) to uncover patterns and ensure robust reliability and validity.
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