Open Access
Open access
Big Data and Cognitive Computing, volume 7, issue 1, pages 17

The Extended Digital Maturity Model

Tining Haryanti 1, 2
Nur Aini Rakhmawati 1
Apol Pribadi Subriadi 1
Publication typeJournal Article
Publication date2023-01-17
scimago Q2
SJR0.820
CiteScore7.1
Impact factor3.7
ISSN25042289
Computer Science Applications
Information Systems
Artificial Intelligence
Management Information Systems
Abstract

The Digital Transformation (DX) potentially affects productivity and efficiency while offering high risks to organizations. Necessary frameworks and tools to help organizations navigate such radical changes are needed. An extended framework of DMM is presented through a comparative analysis of various digital maturity models and qualitative approaches through expert feedback. The maturity level determination uses the Emprise test of the international standard ISO/IEC Assessment known as SPICE. This research reveals seven interrelated dimensions for supporting the success of DX as a form of development of an existing Maturity Model. The DX–Self Assessment Maturity Model (DX-SAMM) is built to guide organizations by providing a broad roadmap for improving digital maturity. This article presents a digital maturity model from a holistic point of view and meets the criteria for assessment maturity. The case study results show that DX-SAMM can identify DX maturity levels while providing roadmap recommendations for increasing maturity levels in every aspect of its dimensions. It offers practical implications for improving maturity levels and the ease of real-time monitoring and evaluating digital maturity. With the development of maturity measurement, DX-SAMM contributes to the sustainability of the organization by proposing DX strategies in the future based on the current maturity achievements.

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