Digital Transformation Readiness In Indonesian Institutions Of Higher Education With Digital Enabler

Authors

  • Firdaus R Akbar
  • Sasmoko
  • Engkos Achmad Kuncoro
  • Viany Utami Tjhin

Abstract

Research has produced models and instruments for measuring Industry 4.0 readiness. This model was [1]developed using several approaches including systematic literature studies, conceptual models and qualitative and quantitative methods for empirical model validation. The developed industrial readiness measurement model consists of 2 aspects, namely knowledge and resource capabilities, 5 dimensions, namely understanding, leadership and strategy, workers and culture, technology and operational dimensions with 20 variables that are spread unevenly in each dimension. From the results of this readiness measurement, the readiness level of companies related to Industry 4.0 is obtained in 4 levels, namely "Not Ready", "Conditionally Ready", "Basic Readiness" and "Fully Ready". The target of the Industry 4.0 readiness measurement model is aimed at manufacturing companies in Indonesia that produce finished goods with their own production facilities for certain customers, both B2B and end customers. One of the important feedbacks obtained from interviews with practitioners during model testing is that each dimension measured has a different importance or weight to one another. For example, the understanding dimension and the technology dimension have different contributions to Industry 4.0 readiness. The Industry 4.0 readiness measurement model assigns weight to each dimension according to its contribution to Industry 4.0 readiness. Future studies will identify the weights for each dimension and also for each variable in each dimension to obtain more accurate measurement results. As a final note, this Industry 4.0 readiness measurement model is not intended to make the Industry 4.0 transformation process easy and automatic. However, this Industry 4.0 readiness measurement model serves as a tool to assess company readiness that reflects the knowledge and capabilities possessed regarding Industry 4.0 and as a decision-making tool in strategies, work plans and targets in the 4.0 transformation process.

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Published

2024-01-19

How to Cite

Akbar, F. R. ., Sasmoko, Kuncoro, E. A. ., & Tjhin, V. U. . (2024). Digital Transformation Readiness In Indonesian Institutions Of Higher Education With Digital Enabler. Migration Letters, 21(S3), 297–306. Retrieved from https://migrationletters.com/index.php/ml/article/view/6749

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