Edward Osiemo Kirochi

STRATEGIES FOR SUSTAINABLE SUPPLY CHAINS: A QUANTITATIVE ANALYSIS Presented By Edward Osiemo Kirochi, MBA (University of Nairobi) Abstract This analysis identifies and quantifies the key strategic drivers—including eprocurement, cost minimization, and supplier engagement—that directly enhance sustainability within modern retail supply chains. Utilizing a cross-sectional research design, the study surveyed 52 supermarket operations in Nairobi. Data was analyzed using SPSS, applying frequency distribution and multiple linear regression to model the measurable impact of specific strategies on overall supply chain sustainability. The findings provide a data-driven framework for businesses to prioritize investments that strengthen both operational resilience and sustainable performance. Methodology The research analyzed supply chain strategies within the Nairobi retail market using a cross-sectional descriptive design. The study engaged a representative sample of 52 supermarket chains, utilizing standardized statistical sampling to ensure validity. Primary quantitative data was collected via structured questionnaires administered to supply chain officers. All analysis was performed in SPSS. Descriptive statistics quantified adoption rates, while Multiple Linear Regression modeled the relationship between five key strategic variables to produce a validated predictive model. 1 Data Analysis & Results A multiple linear regression was performed to model the impact of key strategic drivers. Table 4.15: Strategic Impact Matrix Relative Impact (Beta) Significance Business Result 1. Supplier Engagement 0.384 ** High Impact: Primary driver of sustainability performance. 2. E-Procurement 0.279 * Moderate Impact: Key digital accelerator. 3. Supplier Collaboration 0.172 - Low Influence: support factor. 4. Risk Management 0.169 - Low Influence: predictive power. 5. Cost Minimization -0.222 * Negative Pressure: Aggressive cost cutting hurts sustainability. Strategy Priority Secondary Minimal Significance levels: ** p < 0.01; * p < 0.05 As demonstrated in Table 4.15, the standardized coefficients (Beta) quantify each driver's relative strength: Supplier Engagement (β = .384) is the most powerful, followed by EProcurement (β = .279). While Supply Chain Collaboration (β = .172) and Risk Management (β = .169) contribute to the model, they did not reach statistical significance at the 95% confidence interval, indicating they are secondary to digital and engagement strategies. The predictive model To calculate the forecasted impact on sustainability, the following validated regression equation is applied: 𝒀 = 𝟎. 𝟖𝟒𝟎 + 𝟎. 𝟏𝟔𝟎𝒙𝟏 + 𝟎. 𝟏𝟓𝟗𝒙𝟐 − 𝟎. 𝟐𝟓𝟐𝒙𝟑 + 𝟎. 𝟑𝟎𝟓𝒙𝟒 + 𝟎. 𝟏𝟒𝟏𝒙𝟓 (Where: Y=Supply Chain Sustainability (Dependent Variable), x1=Supplier Collaboration, x2=E-Procurement, x3=Cost Minimization, x4=Supplier Engagement, x5=Risk Management) 2