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Evaluating the efficiency of the technologies used in SCM applying MLOps model

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  • Puica Elena

    (Economic Informatics Doctoral School, The Bucharest University of Economic Studies, Bucharest, Romania)

Abstract

One of the complex challenges is to justify the efficiency of information technology (IT) in Supply Chain Management (SCM). This manuscript presents an approach to investigating the effects of IT on technical efficiency in SCM through an analytical study. In the first stage, the measurements that in-fluence the efficiency of technology are presented that quantity the level of technical efficacy in SCM. In the second stage, those measurements are analyzed by applying a Machine Learning model to generate the efficiency level upon the corresponding IT Solutions in SCM. Statistical solid evidence is presented to confirm that technology exerts a significant favorable impact on technical efficiency in SCM and, in turn, gives rise to the productivity growth claimed by recent studies.

Suggested Citation

  • Puica Elena, 2022. "Evaluating the efficiency of the technologies used in SCM applying MLOps model," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 16(1), pages 188-202, August.
    • Handle: RePEc:vrs:poicbe:v:16:y:2022:i:1:p:188-202:n:32
    DOI: 10.2478/picbe-2022-0019
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    References listed on IDEAS

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    1. Colombo, Massimo G. & Delmastro, Marco, 2002. "How effective are technology incubators?: Evidence from Italy," Research Policy, Elsevier, vol. 31(7), pages 1103-1122, September.
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