Candidate SCOR-Linked Financial Proxies: Exploratory Evidence from a 12-Firm Panel Using SCOR_E Ratio Analysis of Supply Chain Efficiency

Juan Roman

doi:10.3390/logistics10040070

journal article Open Access Mar 25, 2026

Candidate SCOR-Linked Financial Proxies: Exploratory Evidence from a 12-Firm Panel Using SCOR_E Ratio Analysis of Supply Chain Efficiency

Juan Roman

Logistics Vol. 10 No. 4 pp. 70 · MDPI AG

View at Publisher Save 10.3390/logistics10040070

Abstract

Background: Many SCOR performance measures rely on internal operational data, which limits empirical work using public information. Methods: This study evaluates a small set of publicly auditable, SCOR-linked ratios (SCOR_E) in a panel of 12 publicly traded firms across four sectors from 2000 to 2022. Using firm- and year-fixed-effects panel models, the paper examines whether these candidate proxies show pre-specified directional associations within firms and whether the same ratios are associated with operating margin in parallel models. Instrumental-variable (IV) specifications are reported only as sensitivity analyses, and nearly all are weak by the paper’s reported first-stage diagnostics. Results: Accordingly, most findings are interpreted as associative rather than causal. After false-discovery-rate adjustment and weak-instrument-robust inference, only four firm–proxy pairs meet the paper’s detection criterion; all remaining estimates are treated as non-robust. Conclusions: The contribution is therefore narrow: this is a constrained exploratory screening exercise showing which candidate mappings survive the paper’s inferential filters in this sample and which do not. The results do not establish a validated cross-industry scorecard, a scalable benchmarking framework, or a basis for policy claims.

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References

80

[1]

Sellitto "A SCOR-based model for supply chain performance measurement: Application in the footwear industry" Int. J. Prod. Res. (2015) 10.1080/00207543.2015.1005251

[2]

Lockamy "Linking SCOR planning practices to supply chain performance: An exploratory study" Int. J. Oper. Prod. Manag. (2004) 10.1108/01443570410569010

[3]

Douglas "Evaluating resilience in commercial airlines through supply chain flexibility" Int. J. Bus. Mark. Manag. (2023)

[4]

Forehand "Supply chain responsiveness in the internet retailing industry: Applying the supply chain responsiveness ratio" Int. Res. J. Econ. Manag. Stud. (2023)

[5]

Earnhardt "Supply chain reliability in the integrated oil & gas industry post COVID-19: Applying the supply chain reliability ratio" Int. Res. J. Econ. Manag. Stud. (2023)

[6]

Roman "Supply chain costs in the entertainment industry post COVID-19: Developing the supply chain cost ratio" Res. J. Financ. Acc. (2024)

[7]

Moreno "Financial components operations reference model: A SCOR-based financial model" Int. J. Comb. Optim. Probl. Inform. (2016)

[8]

Rashid "The efficiency of financial ratios analysis to evaluate company’s profitability" J. Glob. Econ. Bus. (2021)

[9]

Farrell "The measurement of productive efficiency" J. R. Stat. Soc. Ser. A Stat. Soc. (1957)

[10]

Ketokivi "Transaction cost economics as a theory of supply chain efficiency" Prod. Oper. Manag. (2020) 10.1111/poms.13148

[11]

Does Working Capital Management Affect Profitability of Belgian Firms?

Marc Deloof

Journal of Business Finance & Accounting 2003 10.1111/1468-5957.00008

[12]

Anderson "Are selling, general, and administrative costs “sticky”?" J. Account. Res. (2003) 10.1111/1475-679x.00095

[13]

"Working capital management, corporate performance, and financial constraints" J. Bus. Res. (2014) 10.1016/j.jbusres.2013.01.016

[14]

Wuttke "Focusing the financial flow of supply chains: An empirical investigation of financial supply chain management" Int. J. Prod. Econ. (2013) 10.1016/j.ijpe.2013.05.031

[15]

Gaur "The effects of firm size and sales growth rate on inventory turnover performance in the U.S. retail sector" Manuf. Serv. Oper. Manag. (2015)

[16]

Ayyildiz "Interval-valued Pythagorean fuzzy AHP method-based supply chain performance evaluation by a new extension of SCOR model: SCOR 4.0" Complex. Intell. Syst. (2021) 10.1007/s40747-020-00221-9

[17]

Jain "Sustainability performance evaluation of the e-waste closed-loop supply chain with the SCOR model" Waste Manag. (2022) 10.1016/j.wasman.2022.05.010

[18]

Khan "Resilient and sustainable supplier selection: An integration of SCOR 4.0 and machine learning approach" Sustain. Resil. Infrastruct. (2023) 10.1080/23789689.2023.2165782

[19]

Becker "Improving the SCOR model: Is the new SCOR Digital Standard a better process reference model?" J. Supply Chain. Manag. Logist. Procure. (2023) 10.69554/jfsp8752

[20]

Guillot "B2B supply chain risk measurement systems: A SCOR perspective" J. Bus. Ind. Mark. (2024) 10.1108/jbim-06-2023-0361

[21]

Rotaru "Analysis of SCOR’s approach to supply chain risk management" Int. J. Oper. Prod. Manag. (2014) 10.1108/ijopm-09-2012-0385

[22]

Afriani "The measurement of supply chain management performance at PT. Sinergi Gula Nusantara Sei Semayang Sugar Factory Unit in 2020–2023 using the supply chain operation reference—Fuzzy analytical hierarchy process (SCOR FAHP) method" Dinasti Int. J. Educ. Manag. Soc. Sci. (2024)

[23]

Arjuna "Green supply chain performance measurement using Green SCOR model in agriculture industry: A case study" J. Tek. Ind. J. Keilmuan Dan Apl. Tek. Ind. (2022) 10.9744/jti.24.1.53-60

[24]

Lu "A SCOR framework to measure logistics performance of humanitarian organizations" J. Hum. Logist. Supply Chain. Manag. (2016) 10.1108/jhlscm-09-2015-0038

[25]

Li "Ensuring supply chain quality performance through applying the SCOR model" Int. J. Prod. Res. (2011) 10.1080/00207543.2010.508934

[26]

"Adapting the SCOR model for supply chain network assessment and improvement in oil industry" Int. J. Data Netw. Sci. (2019)

[27]

Chen, X., Jing, P., and Xi, Z. (2016). A General Framework for Evaluating Supply Chain Resilience. ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, The American Society of Mechanical Engineers (ASME). ASME conference proceedings. 10.1115/detc2016-59304

[28]

Nathany "Digital twins for resilient and sustainable supply chains" Int. J. Multidiscip. Res. (2025) 10.36948/ijfmr.2025.v07i01.40768

[29]

Zhou, Q., and Wang, S. (2021). Study on the relations of supply chain digitization, flexibility and sustainable development—A moderated multiple mediation model. Sustainability, 13. 10.3390/su131810043

[30]

Kazancoglu "A proposed circular-SCOR model for supply chain performance measurement in manufacturing industry during COVID-19" Int. J. Qual. Reliab. Manag. (2023) 10.1108/ijqrm-03-2022-0101

[31]

Wulandari "Improving service supply chain performance with the Supply Chain Operations Reference (SCOR) approach; Case study: Indonesia government testing laboratory" World J. Adv. Res. Rev. (2024) 10.30574/wjarr.2024.22.3.1678

[32]

Modelo "SCOR y el balanced scorecard: Una poderosa combinación intangible para la gestión empresarial" Vis. Futuro (2014)

[33]

Diabat "A perishable product supply chain network design problem with reliability and disruption considerations" Int. J. Prod. Econ. (2019) 10.1016/j.ijpe.2018.09.018

[34]

Ketokivi "Addressing the endogeneity dilemma in operations management research: Theoretical, empirical, and pragmatic considerations" J. Oper. Manag. (2017) 10.1016/j.jom.2017.05.001

[35]

Ha "A mathematical definition and basic structures for supply chain reliability: A procurement capability perspective" Comput. Ind. Eng. (2018) 10.1016/j.cie.2018.04.036

[36]

Lukinskiy "Problems of the supply chain reliability evaluation" Transp. Telecommun. J. (2014)

[37]

Vandaele "The impact of delivery lot splitting on delivery reliability in a two-stage supply chain" Int. J. Prod. Econ. (2006) 10.1016/j.ijpe.2005.05.023

[38]

Zaitsev "Supply chain reliability modelling" LogForum (2012)

[39]

Zhang "Reliability evaluation of processed oil supply chain under emergency" Appl. Mech. Mater. (2013) 10.4028/www.scientific.net/amm.339.793

[40]

Sawyerr "Developing resilient supply chains: Lessons from high-reliability organisations" Supply Chain. Manag. (2019) 10.1108/scm-09-2018-0329

[41]

Tucker "Pharmaceutical supply chain reliability and effects on drug shortages" Comput. Ind. Eng. (2022) 10.1016/j.cie.2022.108258

[42]

Charlebois "Supply chain responsiveness to a (post)-pandemic grocery and food service e-commerce economy: An exploratory Canadian case study" Businesses (2021) 10.3390/businesses1020006

[43]

Handfield "The role of trust and relationship structure in improving supply chain responsiveness" Ind. Mark. Manag. (2002) 10.1016/s0019-8501(01)00169-9

[44]

"Improving supply chain responsiveness through advanced manufacturing technology: The mediating role of internal and external integration" Prod. Plan. Control (2016) 10.1080/09537287.2016.1166277

[45]

Williams "Leveraging supply chain visibility for responsiveness: The moderating role of internal integration" J. Oper. Manag. (2013) 10.1016/j.jom.2013.09.003

[46]

Giannakis "A cloud-based supply chain management system: Effects on supply chain responsiveness" J. Enterp. Inf. Manag. (2019) 10.1108/jeim-05-2018-0106

[47]

Nabila "The impact analysis of information technology alignment for information sharing and supply chain integration on customer responsiveness" Procedia Comput. Sci. (2022) 10.1016/j.procs.2021.12.193

[48]

Kazancoglu "Role of flexibility, agility and responsiveness for sustainable supply chain resilience during COVID-19" J. Clean. Prod. (2022) 10.1016/j.jclepro.2022.132431

[49]

Munir "Capabilities for enhancing supply chain resilience and responsiveness in the COVID-19 pandemic: Exploring the role of improvisation, anticipation, and data analytics capabilities" Int. J. Oper. Prod. Manag. (2022) 10.1108/ijopm-11-2021-0677

[50]

Gilal "Supply chain management practices and product development: A moderated mediation model of supply chain responsiveness, organization structure, and research and development" J. Adv. Manuf. Syst. (2017) 10.1142/s0219686717500032

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Published: Mar 25, 2026
Vol/Issue: 10(4)
Pages: 70
License: View

Authors

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Juan Roman

Dixon School of Accounting, University of Central Florida, Orlando, FL 32816, USA

Cite This Article

Juan Roman (2026). Candidate SCOR-Linked Financial Proxies: Exploratory Evidence from a 12-Firm Panel Using SCOR_E Ratio Analysis of Supply Chain Efficiency. Logistics, 10(4), 70. https://doi.org/10.3390/logistics10040070

Candidate SCOR-Linked Financial Proxies: Exploratory Evidence from a 12-Firm Panel Using SCOR_E Ratio Analysis of Supply Chain Efficiency

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