Public-private partnerships as catalysts for digital transformation and circular economy: Insights from developing countries

Journal article


Tanveer, U., Hoang, T. G., Ishaq, S. and Khalid, R. U. 2025. Public-private partnerships as catalysts for digital transformation and circular economy: Insights from developing countries. Technological Forecasting and Social Change. 219, pp. 1-15. https://doi.org/10.1016/j.techfore.2025.124270
AuthorsTanveer, U., Hoang, T. G., Ishaq, S. and Khalid, R. U.
Abstract

This study investigates the dynamics of Public-Private Partnerships (PPPs) in promoting digital transformation and circular economy initiatives in the public sector of developing countries. Using Collaborative Advantage Theory (CAT) and a multiple-case study design, involving 10 public and 12 private organizations across five cases, the research explores how complementary resources, collaborative processes, trust and governance, and mutual benefits and value creation shape the success of these partnerships. Data were collected through 50 semi-structured interviews with key stakeholders and archival analysis of partnership agreements, project reports, and policy documents. The findings reveal that strategic alignment and collaborative leadership are key triggers for synergy creation and co-creation of value. Additionally, participatory governance models and transparent performance metrics enhance trust and sustainability within PPPs. These results offer important theoretical contributions by expanding Collaborative Advantage Theory in the context of PPPs, emphasizing how collaboration and resource integration lead to sustainable outcomes. Practically, the study provides recommendations for policymakers and private sector leaders to improve the governance, resilience, and scalability of PPPs, promoting long-term public service innovation and sustainability.

KeywordsPublic-private partnerships (PPPs); Digital transformation; Circular economy; Collaborative advantage theory (CAT); Interoperability
Year2025
JournalTechnological Forecasting and Social Change
Journal citation219, pp. 1-15
PublisherElsevier
ISSN1873-5509
Digital Object Identifier (DOI)https://doi.org/10.1016/j.techfore.2025.124270
Web address (URL)https://www.sciencedirect.com/science/article/pii/S0040162525003014
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Open
Output statusPublished
Publication datesOct 2025
Online10 Jul 2025
Publication process dates
Accepted27 Jun 2025
Deposited28 Jul 2025
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