Enterprise AI Analysis
Unveiling the Research Landscape of Public Procurement and Emerging Technologies: A Top Modeling Approach to Bibliometric Analysis and Co-occurrence Network Study
This study employs bibliometric analysis, co-occurrence network analysis, and topic modelling techniques to support policymakers, practitioners, and researchers in making informed decisions about resource allocation and research priorities in public procurement and emerging technologies. The goal is to understand the research landscape and emphasise the importance of various themes, thereby guiding efforts to enhance knowledge, foster innovation, and optimise the benefits of emerging technologies in public procurement.
Executive Impact at a Glance
Public procurement is how governments and public sector organisations acquire goods, services, and works necessary for operations and public service delivery. Legal and regulatory frameworks govern public procurement to ensure efficiency, transparency, and accountability. These frameworks foster competition, innovation, and economic development. Key emerging technologies relevant to this study include artificial intelligence (AI), blockchain, big data analytics, and the Internet of Things (IoT). These technologies are decisive because they can transform public procurement by improving efficiency, transparency, decision-making, and fraud detection.
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Documents Analyzed
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Annual Growth Rate %
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Avg. Citations per Doc
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Int. Co-authorships %
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
Initial findings and overall trends.
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Public Procurement Centrality Score
Public procurement emerges as the most central node in the co-occurrence network, highlighting its foundational role in the research landscape of emerging technologies.
Detailed analysis of keyword relationships and clusters.
Enterprise Process Flow
Define Objectives & Questions
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Choose Bibliometric Technique
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Collect Data from Scopus
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Run Analysis & Report Findings
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Discuss Findings (Sep. & Comb.)
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Identify Implications & Limitations
| Technology | Key Benefits | Research Focus |
|---|---|---|
| Artificial Intelligence |
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| Blockchain |
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Uncovering latent themes and their prevalence.
Blockchain & Smart Contracts in Public Procurement (Topic 9)
Topic Nine (coherence 0.147, prevalence 10.155) prominently features blockchain technology and its applications, particularly smart contracts. This indicates a strong research focus on leveraging blockchain for secure, transparent, and efficient procurement processes. Key terms like 'blockchain_technology', 'smart_contracts', and 'rights_reserved' underscore its importance in legal and transactional integrity.
Identified by Topic Modelling: High Impact
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Optimal Topics Identified
Through LDA, 10 major topics were identified as providing the most coherent and stable representation of themes within the dataset, focusing on specific emerging technologies.
Calculate Your Potential AI ROI
Estimate the potential savings and reclaimed hours by implementing AI in your public procurement processes.
Estimated Annual Savings
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Hours Reclaimed Annually
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Your AI Implementation Roadmap
A structured approach to integrating emerging technologies into public procurement for maximum impact and minimal disruption.
Phase 1: Needs Assessment
Identify current procurement challenges and opportunities for AI integration, assessing existing infrastructure and data readiness.
Phase 2: Pilot Program
Implement AI-driven solutions in a controlled environment to test efficacy, gather feedback, and demonstrate tangible benefits.
Phase 3: Scaled Deployment
Expand successful pilot programs across the organization, ensuring seamless integration with existing systems and comprehensive user training.
Phase 4: Continuous Optimization
Regularly update AI models and procurement processes based on performance data, emerging technological advancements, and evolving policy requirements.
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