scholarly journals Dynamic model-based recommendations increase the precision and sustainability of N fertilization in midwestern US maize production

2018 ◽  
Vol 153 ◽  
pp. 256-265 ◽  
Author(s):  
S. Sela ◽  
H.M. van Es ◽  
B.N. Moebius-Clune ◽  
R. Marjerison ◽  
G. Kneubuhler
Keyword(s):  
Dynamic Model ◽  
N Fertilization ◽  
Maize Production ◽  
Model Based

A fuzzy dynamic model based state estimator

2001 ◽  
Vol 122 (1) ◽  
pp. 45-72 ◽  
Author(s):  
Jeffery R. Layne ◽  
Kevin M. Passino
Keyword(s):  
Dynamic Model ◽  
State Estimator ◽  
Model Based

scholarly journals A dynamic model-based approach to motion and deformation tracking of prosthetic valves from biplane x-ray images

2018 ◽  
Vol 45 (6) ◽  
pp. 2583-2594
Author(s):  
Martin G. Wagner ◽  
Charles R. Hatt ◽  
David A. P. Dunkerley ◽  
Lindsay E. Bodart ◽  
Amish N. Raval ◽  
...  
Keyword(s):  
Dynamic Model ◽  
X Ray ◽  
Model Based ◽  
Prosthetic Valves

A dynamic model of effective factors on Agile business–IT alignment

Kybernetes ◽  
2019 ◽  
Vol 49 (10) ◽  
pp. 2521-2546
Author(s):  
Elaheh Bigdeli ◽  
Mohammadreza Motadel ◽  
Abbas Toloie Eshlaghy ◽  
Reza Radfar
Keyword(s):  
Dynamic Model ◽  
Dynamic Capabilities ◽  
Dynamics Modeling ◽  
Fuzzy Dematel ◽  
Content Type ◽  
Effective Factors ◽  
It Alignment ◽  
Model Based ◽  
It Capabilities ◽  
Business It Alignment

Purpose This paper aims to present a dynamic model based on casual relationships among the most important effective factors on business–IT alignment in Agile businesses by using system dynamics modeling approach. Design/methodology/approach To study the most important factors on agility and alignment, the data were collected by questionnaires filled by 201 experts and were analyzed by SPSS and PLS. Casual relationships among studied factors and efficiency coefficients of each factor were identified by fuzzy DEMATEL technique and analyzed by MATLAB and EXCELL. Finally, the dynamic model was plotted by VENSIM. Findings According to the results, only “learning IT capabilities” are the most important casual factor that has the highest influence on the other factors. “Business responding capabilities” take the highest effect from the system, and “business sensing capabilities” are in the next rank. Practical implications This study underpins effective IT deployment toward developing efficient IT capabilities to gain greater agility. Originality/value The dynamic capabilities view (DCV) has emerged as an influential theoretical and management framework in modern IS and agility researches. In this regard, we propose a conceptualization of dynamic capabilities in the form of an alignment model. Based on the dynamic capabilities, and on the alignment perspectives found in Henderson and Venkatraman’s seminal model, IT alignment is modeled as a process of reconfiguration of the firm’s IT and organizational resources, competencies and capabilities.

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