Towards a Digital Transformation Hyper-Framework: The Essential Design Principles and Components of the Initial Prototype
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Abstract
To cope with the complexity, the digital transformation of cyber-physical and socio-technology systems demands the utilization of heterogeneous tailorable development environments with dynamic configuring ability and transparent integration of independently developed dedicated frameworks. The essential design principles and component-based architecting of the initial prototype of the digital transformation hyper-framework represent this research target. These principles are derived from the broad scope analysis of digital transformation projects, methods, and tools and are glued to the proposed virtual twin hyper-document. The critical analysis of the digital transformation domain influenced the formulation of five research hypotheses that frame digital transformation of digital transformation, as the second goal of this research article. Armed with a meta-modeling layer, the incremental development of hybrid architecture instances focuses on meta-models and their transformations into functional, interpretable environments. The applicability aspects of the formulated hypothesis are verified throughout the architecture, meta-configuration, and handling of information resources as the essential segments of the initial version of the proposed evolution prototype. The detailed illustration of the horizontal and vertical interoperability of the proposed framework is illustrated by the Life Cycle Modeling component framework that creatively integrates the System, Software, and Operation Engineering aspects of the proposed hyper-framework. The proposed prototype capabilities are discussed in the context of the contemporary digital transformation ecosystem. Specification and development of the additional component frameworks, in compliance with specified generative mechanisms, directing further refinements of the proposed hyper-framework.
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In petabyte-scale deployments with heavily integrated query workloads, inadequately designed hybrid structures may result in up to 25% slower query performance due to improperly integrated joins between relational and NoSQL systems.
“in petabyte-scale deployments with heavily integrated query workloads, inadequately designed hybrid structures may result in up to 25% of slower query performance since the improperly integrated joins occur between the relational and NoSQL systems (Perisic & Perisic, 2025;Perisic & Perisic, 2024).”
From A REVIEW ON OBJECT-ORIENTED, OBJECT-RELATIONAL, RELATIONAL, AND NOSQL DATABASES: EVOLUTION, INTEGRATION, AND PERFORMANCE TRADE-OFFS (2025) · cites this paper as Perisic & Perisic, 2025
Section 3.2.3 discusses heterogeneous repositories and query optimization, but does not address slower queries caused by joins between relational and NoSQL systems. Searches for the 25% figure and petabyte-scale workloads found no supporting passage in our copy. (LLM, conf=0.76)
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Digital human resource management: A conceptual clarification
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Cited by
Sorted by citations
Okoronkwo, M. C., Mustapha, M., Markus, C., Adaji, M. A., & Chibunze, N. E. (2025) · Open Journal of Physical Science (ISSN: 2734-2123) · doi:10.52417/ojps.v6i2.1039
- Authors
- Perisic, A., & Perisic, B.
- Affiliations
- Faculty of Technical Sciences, University of Novi Sad, 21000 Novi Sad, Serbia
- Independent Researcher, 21000 Novi Sad, Serbia
- Venue
- Applied Sciences
- Publisher
- MDPI AG
- Published
- 2025-01-10
- Volume
- 15
- Issue
- 2
- Pages
- 611
- ISSN
- 2076-3417 (ISSN-L)
- OpenAlex
- W4406243661
- Cited by
- 6
- References
- 1
- Citations by year
- 2026: 1 · 2025: 5
- FWCI
- 2.95
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Applied Sciences (publishedVersion, cc-by)
- Preprints.org (acceptedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Physical Sciences › Computer Science › Software › Model-Driven Software Engineering Techniques
- Physical Sciences › Engineering › Control and Systems Engineering › Systems Engineering Methodologies and Applications
- Keywords
- digital transformation, virtual twin, metamodeling, component-based architecture, interoperability, life cycle modeling, cyber-physical systems, socio-technical systems
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