scholarly journals A Meta-model based Automatic Conceptual Model-to-Model Transformation Methodology

2018 ◽  
Author(s):  
Tiexin Wang ◽  
Sebastien Truptil ◽  
Frédérick Benaben ◽  
Chuanqi Tao
Keyword(s):  
Conceptual Model ◽  
Model Transformation ◽  
Meta Model ◽  
Model Based

A Meta-Model-Based Approach to the Definition of the Analysis Results of Petri-Net Models

2013 ◽  
pp. 104-116
Author(s):  
Simona Bernardi ◽  
José Merseguer
Keyword(s):  
Petri Net ◽  
Model Transformation ◽  
Common Method ◽  
System Behavior ◽  
Modeling And Analysis ◽  
Meta Model ◽  
Transformation Rules ◽  
Model Based ◽  
Modeling Techniques ◽  
Definition Of

Multi-formalism modeling techniques enable the modeling and analysis of different aspects of a system. One of the main issues in the integration of multiple tools to support multi-formalisms is how to provide a common method to report the results of the analysis and how to interchange them between models, based on different formalisms, that often represent the system behavior at different granularity levels. In this chapter, the authors focus on the Petri Net formalism, and they present a preliminary work toward the definition of a common XML-based language for the specification of the results obtained from the analysis of Petri net models. The authors use a meta-model based approach, where first a structured set of meta-models representing the Petri net result concepts and their relationships are defined. Then, model transformation rules enable the mapping of meta-models to XML constructs.

The La laja spring system in the Argentine Precordillera: A conceptual model based on geochemical and isotopic data

2021 ◽  
pp. 103241
Author(s):  
Paola Orozco ◽  
Ricardo Astini ◽  
Jimena Presa ◽  
Patricia Alvarado ◽  
Agostina Venerdini ◽  
...  
Keyword(s):  
Conceptual Model ◽  
Isotopic Data ◽  
Model Based ◽  
Spring System ◽  
Argentine Precordillera

A model of mobile technologies acceptance for knowledge transfer by employees

2017 ◽  
Vol 21 (5) ◽  
pp. 1053-1076 ◽  
Author(s):  
Michal Kuciapski
Keyword(s):  
Knowledge Management ◽  
Knowledge Transfer ◽  
Conceptual Model ◽  
Mobile Devices ◽  
Mobile Technologies ◽  
Intention To Use ◽  
Content Type ◽  
Model Based ◽  
New Variables ◽  
Practical Implications

Purpose Although mobile devices are ubiquitous among employees, their awareness and readiness to use mobile technologies for competence development is still not widespread and therefore requires further exploration. The purpose of this study is to propose a conceptual model based on the unified theory of acceptance and use of technology (UTAUT) to explain the determinants that affect employees’ intention to use mobile devices and software for knowledge transfer during the process of knowledge management. Design/methodology/approach A conceptual model based on the UTAUT with new variables concerning relative usability (RU) and user autonomy (UA) and new connections between the determinants was developed as a result of a subject matter literature review. A structural equation modelling approach was used to validate the model on the basis of data collected via a survey collected from 371 employees from 21 sectors, both public and private. Findings The UTAUT model extended by new variables like RU and UA explains employee acceptance of mobile technologies for knowledge transfer reasonably well. New proposed variables highlighted that the usability of technology compared to other solutions and user autonomy in the selection and the use of applications have the strongest impact on the employees’ intention to use mobile devices and software for knowledge transfer. Research limitations/implications This model explains the 55 per cent behavioral intention of employees to use mobile technologies for knowledge transfer. Even though it is quite high in terms of acceptance theories, some new variables should be explored. Furthermore, study does not verify whether m-learning acceptance for knowledge transfer is sector-specific. Practical implications Mobile technologies used for knowledge transfer by employees should allow for high UA through their ability to select solutions that they find convenient, use of preferred platforms, personalize applications and utilize devices and software in various environments. They should not be simplified and should have the same functionality and efficiency of use as alternative solutions like web and desktop applications, even if additional effort to learn them would be required. Mobile technologies that take into account UA and RU support the process of employees capturing, distributing and effectively using knowledge. Originality/value The elaborated model provides a valuable solution with practical implications for increasing mobile technologies acceptance for knowledge transfer. The study results contribute both to knowledge management and technology acceptance research fields by introducing two new determinants for the acceptance of technologies in knowledge transfer, such as UA and RU with several additional connections between existing UTAUT variables.

Conceptual-model-based data extraction from multiple-record Web pages

1999 ◽  
Vol 31 (3) ◽  
pp. 227-251 ◽  
Author(s):  
D.W. Embley ◽  
D.M. Campbell ◽  
Y.S. Jiang ◽  
S.W. Liddle ◽  
D.W. Lonsdale ◽  
...  
Keyword(s):  
Conceptual Model ◽  
Data Extraction ◽  
Web Pages ◽  
Model Based

scholarly journals Architecture at the edge of chaos: a model for uncertainty in architecture

2021 ◽  
Author(s):  
Calvin Fung
Keyword(s):  
Complex Systems ◽  
Conceptual Model ◽  
Granular Matter ◽  
Human Agency ◽  
Dynamic Feedback ◽  
Edge Of Chaos ◽  
Model Based ◽  
Ecological Changes ◽  
Unique Approach

The changing needs of society informed by rapid technological, social and ecological changes have disturbed the foundation of permanence on which much of architecture was built. Traditional Western architecture is too solid, hard, and slow—presenting difficulties for it to adequately adapt to change and uncertainty. A reconceptualization of architecture is necessary, one not focused on the certainty of solutions or forms, but one patterned by the dynamic feedback of human agency and environmental forces. For architecture to adapt, and to adapt to unpredictable circumstances, requires that architecture accept uncertainty in its formulation and materialization. Embracing systems-based thinking, a conceptual model based on the complex systems of granular matter provides a unique approach to architecture’s material and immaterial structures. Architecture will then be critically poised at the edge of chaos, ready to reorganize and evolve towards a new fluid paradigm.

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