A Framework for Optimizing Procurement Processes through Integrated Risk and Value Chain Analysis

• Author(s): Adaobu Amini-Philips ; Ayomide Kashim Ibrahim ; Wasiu Eyinade
• Paper ID: 1710758
• Page: 103-126
• Published Date: 31-07-2018
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 2 Issue 1 July-2018

Abstract

Contemporary procurement processes face unprecedented challenges in an increasingly complex global business environment, necessitating sophisticated frameworks that integrate risk management with comprehensive value chain analysis. This research presents a novel framework for optimizing procurement processes through the systematic integration of risk assessment methodologies and value chain analysis techniques. The framework addresses critical gaps in traditional procurement approaches by establishing dynamic linkages between risk identification, value creation opportunities, and supply chain optimization strategies. The study employs a comprehensive mixed-methods approach, incorporating quantitative analysis of procurement performance metrics across diverse industry sectors and qualitative assessment of risk management practices through extensive case study analysis. Primary data collection involved structured interviews with senior procurement professionals from 127 organizations across manufacturing, services, and public sectors, complemented by secondary analysis of procurement performance data spanning a five-year period from 2013 to 2017. The research methodology integrates established risk management frameworks with value chain analysis models to develop a holistic optimization approach. Key findings reveal that organizations implementing integrated risk and value chain analysis demonstrate superior procurement performance, with average cost reductions of 18.3% and risk mitigation improvements of 24.7% compared to traditional procurement approaches. The framework identifies five critical optimization dimensions including supplier relationship management, cost optimization strategies, quality assurance mechanisms, delivery performance enhancement, and strategic risk mitigation. Statistical analysis confirms significant correlations between integrated risk management practices and enhanced value chain performance across all measured dimensions. The proposed framework establishes systematic methodologies for identifying and quantifying procurement risks while simultaneously optimizing value creation opportunities throughout the supply chain. Implementation guidelines provide practical approaches for risk assessment, value chain mapping, stakeholder engagement, and performance monitoring. The framework's applicability spans diverse organizational contexts, with particular relevance for organizations operating in volatile market environments or complex supply chain configurations. Research contributions include theoretical advancement of procurement optimization models, practical implementation frameworks for industry practitioners, and empirical evidence supporting integrated risk and value chain approaches. The study addresses critical knowledge gaps in procurement literature by demonstrating measurable benefits of holistic optimization strategies. Recommendations for future research include longitudinal studies of framework implementation outcomes and cross-cultural validation of optimization methodologies.

Keywords

Procurement Optimization, Risk Management, Value Chain Analysis, Supply Chain Management, Procurement Frameworks, Risk Assessment, Organizational Performance, Strategic Sourcing

Citations

IRE Journals:
Adaobu Amini-Philips , Ayomide Kashim Ibrahim , Wasiu Eyinade "A Framework for Optimizing Procurement Processes through Integrated Risk and Value Chain Analysis" Iconic Research And Engineering Journals Volume 2 Issue 1 2018 Page 103-126

IEEE:
Adaobu Amini-Philips , Ayomide Kashim Ibrahim , Wasiu Eyinade "A Framework for Optimizing Procurement Processes through Integrated Risk and Value Chain Analysis" Iconic Research And Engineering Journals, 2(1)