Digital transformation capability maturity model enabling the assessment of industrial manufacturers

Gökalp E., Martinez V.

Computers in Industry, cilt.132, 2021 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 132
  • Basım Tarihi: 2021
  • Doi Numarası: 10.1016/j.compind.2021.103522
  • Dergi Adı: Computers in Industry
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, PASCAL, ABI/INFORM, Aerospace Database, Applied Science & Technology Source, Business Source Elite, Business Source Premier, Communication Abstracts, Computer & Applied Sciences, INSPEC, Metadex, Civil Engineering Abstracts
  • Anahtar Kelimeler: Digital transformation, Maturity model, Digital transformation maturity, Process assessment, Smart manufacturing, TECHNOLOGICAL-CHANGE, INNOVATION, SERVICE, READINESS, TWIN, SMES
  • Orta Doğu Teknik Üniversitesi Adresli: Hayır

Özet

© 2021 Elsevier B.V.The utilization of on-premise technologies in the business environment is ushering in a new era known as digital transformation (DX). Although organizations are aware of the potential advantages of DX, they have faced problems creating a clear path to reshape their existing processes in line with on-premise technologies. Therefore, they need guidance from a holistic viewpoint. Maturity models (MMs) are developed to guide organizations by providing an extensive roadmap for improvement. The digital transformation capability maturity model (DX-CMM) is developed to assist organizations by providing current DX capability/maturity determination, derivation of a gap analysis, and the creation of a comprehensive roadmap for improvement in a comprehensive, structured, objective, complete, and standardized way. The aim of this study is to check the usability and applicability of the DX-CMM by performing a multiple case study, including assessments of the DX maturity level and derivation of a roadmap for DX maturity improvement to move one level further in two organizations in the chemical and machine manufacturing domains. The case study results show that the DX-CMM is applicable for identifying the DX maturity level, and it is capable of providing a roadmap for DX maturity improvement for moving one DX maturity level further, as well as benchmarking organizations evaluated using the same approach.