Digital transformation capability maturity model enabling the assessment of industrial manufacturers

Date

2021-11-01

Author

Gökalp, Ebru

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

595
views

0
downloads

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.

Subject Keywords

Digital transformation, Maturity model, Digital transformation maturity, Process assessment, Smart manufacturing

URI

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85111135553&origin=inward
https://hdl.handle.net/11511/91538

Journal

Computers in Industry

DOI

https://doi.org/10.1016/j.compind.2021.103522

Collections

Graduate School of Informatics, Article

Suggestions

OpenMETU
Core

Development of an Assessment Model for Industry 4.0: Industry 4.0-MM Gökalp, Ebru; Şener, Umut; Eren, Pekin Erhan (2017-10-05) The application of new technologies in the manufacturing environment is ushering a new era referred to as the 4th industrial revolution, and this digital transformation appeals to companies due to various competitive advantages it provides. Accordingly, there is a fundamental need for assisting companies in the transition to Industry 4.0 technologies/practices, and guiding them for improving their capabilities in a standardized, objective, and repeatable way. Maturity Models (MMs) aim to assist organization...
Country of Origin Criteria for Digitalization with National IT Products Özdemir, Serkan; Kör, Burcu; Metin, Bilgin (2019-10-11) In today’s world, digital transformation enhancement in IT sector becomes crucial for efficient solutions in organizations. Institutions in public sector try to enrich its process solutions with additional products and services. On the other hand, especially in developing countries, there is a high tendency to obtain products with domestic resources in order to reduce financial expenses. Besides, it may be crucial for public and military institutions to develop IT products with domestic resources in order t...
DEVELOPING AN ARCHITECTURAL FRAMEWORK FOR FACILITATING TRANSFORMATION TOWARDS DATA-DRIVEN ORGANIZATIONS Kayabay, Kerem; Eren, Pekin Erhan; Gökalp, Ebru; Department of Information Systems (2022-2-11) Paradigm shifts such as digital transformation and Industry 4.0 produce complex data, also called big data. Businesses increasingly focus on exploiting big data for competitive advantage, leveraging data science. However, many industries cannot effectively leverage data science since no comprehensive approach allows strategic planning for organization-wide data science projects and data assets. After recognizing the industry`s need, this thesis explores the Data Science Roadmapping Framework`s (DSR) develop...
Technological transformations: the case of industry 4.0 in Turkish pharmaceutical industry İlhan, Öme; Erdil, Erkan; Department of Science and Technology Policy Studies (2019) The completion of the technological transformation of all sectors, especially the production sector, is one the most important factor for their survival in today's world where competition is rapidly increasing and new technologies are developing beyond traceability. In order to stay in the race, adapting and internalizing the new technologies that came into our lives with industry 4.0, which recently emerged and became a current issue in a short time, became a necessity. Given the importance of technologica...
BIM-CAREM: Assessing the BIM capabilities of design, construction and facilities management processes in the construction industry Yilmaz, Gokcen; Akçamete Güngör, Aslı; Demirors, Onur (2023-05-01) BIM adoption has accelerated worldwide since it is an important enabling technology for digitalisation in the construction industry. Adopting BIM requires transforming the traditional building life cycle stages (planning, design, construction and facilities management) into BIM-integrated project deliveries. Assessing the BIM capabilities of these stages helps organisations to identify gaps in their BIM uses and improve them. There is a lack of a comprehensive model in the literature for assessing the BIM c...

Citation Formats

E. Gökalp, “Digital transformation capability maturity model enabling the assessment of industrial manufacturers,” Computers in Industry, pp. 0–0, 2021, Accessed: 00, 2021. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85111135553&origin=inward.