Quantifying Effective Store Management Systems through a Supply Chain Management Lens: A Comparative Secondary Analysis
DOI:
https://doi.org/10.47604/ijscm.3829Keywords:
Supply Chain Management, Store Management Systems, Performance Measurement, SCOR Model, Inventory Management, SMEI, CIPM, Quantitative Metrics, Retail OperationsAbstract
Purpose: Effective stores management is a foundational pillar of supply chain performance, yet scholarly discourse on how to quantify its effectiveness within broader supply chain management (SCM) frameworks remains fragmented and inconclusive. This paper undertakes a systematic secondary analysis to examine, contrast, and synthesise key quantitative and qualitative dimensions through which store management systems can be evaluated within the SCM context.
Methodology: Drawing on peer-reviewed literature published between 2018 and 2025 and sourced from Scopus-indexed and DOAJ-indexed journals, the study maps the principal performance measurement frameworks, including the Supply Chain Operations Reference (SCOR) model, the Balanced Scorecard adapted for SCM, and emergent digitally-enabled metrics, against store-level operational variables such as inventory accuracy, order fulfilment rates, shrinkage control, and demand forecast alignment.
Findings: The analysis reveals significant convergence around five quantifiable dimensions of store management effectiveness: inventory turnover efficiency, service level attainment, stockout frequency, lead time variability, and cost-to-serve ratios. The paper further introduces the Contextual Innovation Performance Model (CIPM) as an integrative analytical lens, arguing that contextual organisational variables mediate the relationship between measurement system design and actual performance outcomes.
Unique Contribution to Theory, Practice and Policy: The study contributes to theory by resolving definitional ambiguity around store effectiveness and proposes a multi-dimensional Store Management Effectiveness Index (SMEI) as a practical benchmarking instrument for researchers and practitioners.
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Copyright (c) 2026 Benjamin Bensam Sambiri, Alina Baskakova, Ahmed Ashraf, Munawwar Khalil, Moustafa Gaballa, James Agbor Okpokiri
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution (CC-BY) 4.0 License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
