Evaluation and Simulation Methods for Ambidexterity Engineering of Digital Supply Chain Systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F25%3A43927255" target="_blank" >RIV/62156489:43110/25:43927255 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.11118/ejobsat.2025.003" target="_blank" >https://doi.org/10.11118/ejobsat.2025.003</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.11118/ejobsat.2025.003" target="_blank" >10.11118/ejobsat.2025.003</a>
Alternative languages
Result language
angličtina
Original language name
Evaluation and Simulation Methods for Ambidexterity Engineering of Digital Supply Chain Systems
Original language description
Global mergers and faster business cycles create weakly harmonized supply chain (SC) systems. Industry 4.0's smart digitalization opportunities significantly alter business model innovation rates. Consequently, the complexity of aligning value exploration and exploitation has increased, often missing the needed integration level. A holistic systems engineering (SE)-driven methodology for innovation, transformation, and optimizing smart SC systems is not available so far. Case studies at SAP SE's development organization for Industry 4.0 SCM solutions and three automotive companies explored objectives, obstacles, and methods for digital transformation. The results were synthesized into a holistic SC business model transformation and optimization methodology. Complementary to traditional SCM, the study proposes SE-driven meta-modelling to improve the performance, resilience, and synchronization of end-to-end supply chains. Moreover, holistic simulations and evaluation methods for the ambidexterity of SC business models have been developed, enhancing the effectiveness of value exploration and exploitation, and innovation productivity by holistically viewing emergence and convergence throughout SC capabilities' life cycles. Ambidexterity management and dynamic capabilities are addressed by SE methods like capability engineering and complex dynamic systems theory, integrated into a concise SE model.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
European Journal of Business Science and Technology
ISSN
2336-6494
e-ISSN
2694-7161
Volume of the periodical
11
Issue of the periodical within the volume
1
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
30
Pages from-to
99-128
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-105010884749