Assessing Supplier Collaboration and Performance in Grocery Chains: An Empirical Study

Thesis Abstract

This study investigates how supplier collaboration influences performance outcomes in grocery chains within a dynamic retail environment characterized by intense competition, rapidly changing consumer preferences, and heightened supply chain volatility. The problem addressed is the inconsistent translation of collaborative relationships into measurable supply chain and store-level performance gains, particularly in perishable grocery categories where lead times, stockouts, and waste significantly impact profitability. The aim is to empirically assess the extent to which supplier collaboration practices—joint planning, information sharing, joint product development, and collaborative risk management—affect supplier and retailer performance metrics, including on-shelf availability, order lead time, fill rate, cost reduction, and overall supply chain resilience. The study also explores moderating effects of supplier relationship maturity, information technology integration, and category strategic importance on these linkages. Specific objectives are (1) to quantify the relationship between supplier collaboration dimensions and supplier and retailer performance indicators; (2) to examine how information sharing and joint planning reduce forecast error and stockouts in Fresh and Aisle-st^1 categories; (3) to evaluate the mediating role of supply chain visibility and operational flexibility in the collaboration-performance link; (4) to identify barriers to effective collaboration and how they vary by retailer size and supplier type; and (5) to develop a validated framework for improving collaboration-driven performance in grocery chains. The theoretical lens integrates the Relational View of competitive advantage and Resource-Based View to explain how relational resources and capabilities yield performance benefits, complemented by Transaction Cost Economics to assess governance implications of collaboration arrangements. Institutional theory provides context for cross-organizational alignment within retailer ecosystems. Methodologically, the study adopts a cross-sectional, mixed-methods design conducted in five large metropolitan grocery chains in the United States during 2024. The population comprises supplier firms and category managers within these chains, with a target sample of 240 supplier respondents and 120 retailer respondents. A stratified random sampling approach ensures representation across perishable and non-perishable categories, as well as varying supplier sizes ( SMEs and large multinational suppliers). Data collection employs a structured survey instrument for quantitative analysis and semi-structured interviews for qualitative insights; supplier questionnaires (n=240) measure collaboration dimensions (joint planning, information sharing, co-innovation, and risk-sharing) and performance outcomes (fill rate, on-shelf availability, lead time, cost reductions, waste). Retailer questionnaires (n=120) capture internal performance metrics (stockouts, gross margin return on investment, inventory turnover) and perceived collaboration effectiveness. Validity and reliability are ensured through pilot testing, confirmatory factor analysis, and Cronbach’s alpha (? > 0.70 for all constructs). Secondary data from company ERP and point-of-sale systems complement primary data where permissible, providing objective performance indicators. Analytical techniques include multivariate regression to test direct effects of collaboration dimensions on performance metrics, structural equation modeling (SEM) to assess the proposed mediated pathways via supply chain visibility and flexibility, and PROCESS-based mediation analysis to quantify indirect effects. ANOVA and chi-square tests examine differences across category types and retailer sizes. Thematic analysis of interview transcripts identifies recurrent barriers, enabling factors, and contextual nuances shaping collaboration outcomes. Robustness checks incorporate propensity score matching to address potential selection bias and sensitivity analyses around model specification. Expected findings indicate that higher levels of supplier collaboration positively affect on-shelf availability, reduce lead times, and lower costs, with information sharing and joint planning exerting the strongest direct effects. Mediation analyses are expected to reveal that enhanced supply chain visibility and operational flexibility partially explain how collaboration improves performance, while governance mechanisms influence the strength of these relationships. The study anticipates variation by category, with perishable goods exhibiting more pronounced benefits due to heightened information exchange and synchronized replenishment. This research contributes to knowledge by integrating relational theory with operational metrics in grocery supply chains, providing a validated framework for assessing and enhancing collaboration-driven performance. It informs managers about practical levers—especially information systems integration and joint planning practices—that yield tangible improvements in service levels and efficiency. Recommendations include implementing cross-functional supplier councils, investing in shared data platforms, and establishing standardized joint-planning cadences aligned with promotional calendars, while also addressing barriers related to data confidentiality, trust, and governance. The study closes with implications for policy formation, supplier development programs, and future research directions exploring dynamic capabilities in retailer–supplier ecosystems.