review · Acta Logistica
A structured review of seventy academic studies published between 2000 and 2021 assesses the state of supply chain performance evaluation models. The analysis classifies these models according to their primary focus areas as well as financial and non-financial perspectives, evaluating their practical applicability in modern business contexts. Existing models exhibit notable shortcomings, particularly in their alignment with emerging disruptive technologies and their ability to capture overall network performance. Many frameworks also fail to pinpoint specific underperforming decision criteria across the wider supply chain. To address these deficiencies, future evaluation frameworks need to incorporate key operational characteristics including visibility, leagility, collaboration, digitalisation, sustainability, and integration.
Modern supply chains face rapid technological changes and complex operational demands. Conventional performance measurement systems frequently overlook network-wide vulnerabilities and neglect critical non-financial factors. Understanding these gaps helps industrial leaders recognise the limitations of legacy assessment tools and highlights the operational dimensions needed to evaluate resilience, technology adoption, and sustainability across modern supply networks.
This work represents early-stage conceptual research providing design criteria rather than a field-tested tool. The findings could inform software developers and supply chain analysts working to build next-generation monitoring platforms, but commercial application requires developers to construct and validate new models that integrate the proposed criteria into enterprise software.
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Our structured literature review reveals the current state-of-the-art supply chain performance evaluation models (SCPEMs) from the last 21 years of research. Seventy related papers from the 2000 to 2021 time period were found to contribute by using ISI and SCOPUS databases. This paper has classified SCPEMs in terms of focus area and the perspective considered (financial and non-financial). With the analysis, these models’ applicability in today’s business environment pinpointed the most usable models and their current shortcomings. Findings disclose current SCPEMs limitations and misalignments with the emerging disruptive technologies observed in today’s supply chains. Given the findings, this study has highlighted the lack of overall supply chain performance evaluation and the failure to underline the underperforming decision criteria in the SC network. Therefore, to tackle these gaps, the authors have suggested visibility, leagility, collaboration, digitalization, sustainability, and integration as SCM characteristics to be considered in the future when developing a novel SCPEM. Finally, this study can be used as guidance for future studies.
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DOI: 10.22306/al.v9i2.298
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