Survey processing mechanism to identify digitalization targets in SMEs.

Authors

  • Bianca Arteta Facultad Regional Rafaela, Universidad Tecnológica Nacional - Argentina
  • Leandro Riva Facultad Regional Rafaela, Universidad Tecnológica Nacional - Argentina

Keywords:

Digital Transformation, PYMES, Industry 4.0, RAMI 4.0

Abstract

This study investigates digital transformation in SMEs within the context of Industry 4.0. An innovative mechanism based on the Reference Architecture Model Industrie 4.0 (RAMI 4.0) is introduced to identify areas with high digitalization potential. The mechanism relies on two key parameters: subjective accounting weighting and digitalization level. Subjective accounting weighting assesses the importance and cost impact of each business area. The digitalization level is measured through a specific questionnaire.Through a case study in operations, this mechanism demonstrates how it can pinpoint areas with significant digitalization potential in SMEs. This approach provides an effective tool for SMEs to make informed strategic decisions on their path to digital transformation. Future validation across various sectors and types of SMEs promises a substantial enhancement of the proposal.

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Published

2024-10-18

How to Cite

Arteta, B., & Riva, L. (2024). Survey processing mechanism to identify digitalization targets in SMEs. AJEA (Proceedings of UTN Academic Conferences and Events), (AJEA 38). Retrieved from https://rtyc.utn.edu.ar/index.php/ajea/article/view/1642

Conference Proceedings Volume

Section

Proceedings - Organizations Technologies