Evaluation and Simulation Methods for Ambidexterity Engineering of Digital Supply Chain Systems
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Evaluation and Simulation Methods for Ambidexterity Engineering of Digital Supply Chain Systems
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Evaluation and Simulation Methods for Ambidexterity Engineering of Digital Supply Chain Systems
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>SC</sub> - Článek v periodiku v databázi SCOPUS
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2025
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
European Journal of Business Science and Technology
ISSN
2336-6494
e-ISSN
2694-7161
Svazek periodika
11
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
CZ - Česká republika
Počet stran výsledku
30
Strana od-do
99-128
Kód UT WoS článku
—
EID výsledku v databázi Scopus
2-s2.0-105010884749