Policy Planning in Higher Technical Education

2021 ◽  
pp. 620-646
Author(s):  
Sanjay Soni ◽  
B.K. Chorasia
Keyword(s):  
Dynamic Model ◽  
Education System ◽  
Technical Education ◽  
Research Work ◽  
System Dynamic ◽  
System Dynamic Model ◽  
Policy Planning ◽  
Technical Institute ◽  
The Impact

In the present Research work an attempt has been made to compute quality of higher technical Institute by incorporating various important parameters such as faculty strength, Placement of students, faculty satisfaction, student's satisfaction etc. The impact of these factors on quality of higher technical education is studied by constructing a system dynamic model for policy planning for optimum quality in higher technical education system.

Policy Planning in Higher Technical Education

2017 ◽  
Vol 6 (3) ◽  
pp. 87-110 ◽  
Author(s):  
Sanjay Soni ◽  
B.K. Chorasia
Keyword(s):  
Dynamic Model ◽  
Education System ◽  
Technical Education ◽  
Research Work ◽  
Faculty Satisfaction ◽  
System Dynamic Model ◽  
Policy Planning ◽  
Technical Institute ◽  
The Impact

In the present Research work an attempt has been made to compute quality of higher technical Institute by incorporating various important parameters such as faculty strength, Placement of students, faculty satisfaction, student's satisfaction etc. The impact of these factors on quality of higher technical education is studied by constructing a system dynamic model for policy planning for optimum quality in higher technical education system.

ICT Powered Strategic Flexibility System Dynamic Model

2014 ◽  
Vol 3 (1) ◽  
pp. 90-110 ◽  
Author(s):  
Agnes Mindila ◽  
Anthony Rodrigues ◽  
Dorothy McCormick ◽  
Ronald Mwangi
Keyword(s):  
System Dynamics ◽  
Strategic Management ◽  
Dynamic Model ◽  
Dynamic Capabilities ◽  
System Dynamic ◽  
Strategic Flexibility ◽  
System Dynamic Model ◽  
Sustainable Competitive Advantage ◽  
Modeling Methodology ◽  
The Impact

Resource-Based View (RBV) of the firm in strategic management literature focuses on firm internal endowments in terms of resources, capabilities and dynamic capabilities for their development. By establishing a learning mechanism, where they are able to adapt and influence the environment, enterprises build a dynamic competence and sustainable competitive advantage. This paper posits that this dynamic competence or strategic flexibility as referred to by strategic management scholars is a phenomenon that needs to be understood by scholars and practitioners in MSEs so that effective intervention programs can be designed. The paper argues that by treating strategic flexibility as a CAS provides a methodology within which models based on known theories in strategic management are employed and tested using system dynamics. The paper also posits that System Dynamics (SD) modeling is a good modeling methodology that captures the dynamism in a CAS. The paper therefore presents a conceptual model for strategic flexibility and a system dynamic model that reveals the variables in play and their relationships. In so doing the paper exposes influence points in the CAS that act as intervention points by practitioners in strategic flexibility of firms. The paper presents ICTs as interventions at the influence points and presents a generic strategic flexibility system dynamic model that brings to play the impact of ICT.

ICT Powered Strategic Flexibility System Dynamic Model

2016 ◽  
pp. 967-987
Author(s):  
Agnes Mindila ◽  
Anthony Rodrigues ◽  
Dorothy McCormick ◽  
Ronald Mwangi
Keyword(s):  
System Dynamics ◽  
Strategic Management ◽  
Dynamic Model ◽  
Dynamic Capabilities ◽  
System Dynamic ◽  
Strategic Flexibility ◽  
System Dynamic Model ◽  
Sustainable Competitive Advantage ◽  
Modeling Methodology ◽  
The Impact

Resource-Based View (RBV) of the firm in strategic management literature focuses on firm internal endowments in terms of resources, capabilities and dynamic capabilities for their development. By establishing a learning mechanism, where they are able to adapt and influence the environment, enterprises build a dynamic competence and sustainable competitive advantage. This paper posits that this dynamic competence or strategic flexibility as referred to by strategic management scholars is a phenomenon that needs to be understood by scholars and practitioners in MSEs so that effective intervention programs can be designed. The paper argues that by treating strategic flexibility as a CAS provides a methodology within which models based on known theories in strategic management are employed and tested using system dynamics. The paper also posits that System Dynamics (SD) modeling is a good modeling methodology that captures the dynamism in a CAS. The paper therefore presents a conceptual model for strategic flexibility and a system dynamic model that reveals the variables in play and their relationships. In so doing the paper exposes influence points in the CAS that act as intervention points by practitioners in strategic flexibility of firms. The paper presents ICTs as interventions at the influence points and presents a generic strategic flexibility system dynamic model that brings to play the impact of ICT.

scholarly journals An Assessment of Factors Affecting Erp Implementation: A Systemic View

2019 ◽  
Vol 8 (3) ◽  
pp. 3801-3808
Keyword(s):  
Dynamic Model ◽  
Enterprise Resource Planning ◽  
Resource Planning ◽  
Economic Liberalization ◽  
Service Industries ◽  
System Dynamic ◽  
Equation Modeling ◽  
System Dynamic Model ◽  
Erp Implementation ◽  
The Impact

The emergence of globalization and economic liberalization has paved a new path to global industrial scenario. The impact of globalization and economic liberalization resulted in a paradigm shift in the way of carrying out business. Industries worldwide are coming up with modern tools and techniques to face the global competition and the pressure of gaining success is increasing as never before. Enterprise Resource Planning (ERP) was one such tool which emerged in the era of globalization, it plays a vital role in improving the performance of the firm at large and in yielding long term benefits which are essentials for any firm to sustain and prosper. ERP results in providing a central database wherein the data can be accessed, updated and automated. The data redundancy is eliminated which results in saving time and money. This paper focuses on building a System Dynamic model of ERP implementation management with special reference to manufacturing and service industries of North-Karnataka. This System Dynamic model is based on the results of Factor Analysis and causal loops obtained from Structural Equation Modeling. The contour plots obtained for different parameters assists managers of implementing firms in decision making which in turn lead to ERP implementation success. This system dynamic model so developed assists the managers in policy planning and in taking appropriate measures to overcome the hurdles and for hassle- free implementation of ERP at large.

scholarly journals A system dynamic model for measuring the construction quality of buildings' structures

2011 ◽  
Vol 1 (2) ◽  
pp. 127-138 ◽  
Author(s):  
Mehrdad Shokouh-Abdi ◽  
Morteza Zahedi ◽  
Ahmad Makui
Keyword(s):  
Dynamic Model ◽  
System Dynamic ◽  
System Dynamic Model ◽  
Construction Quality

Toward a circular economy: A system dynamic model of recycling framework for aseptic paper packaging waste in Indonesia

2021 ◽  
Vol 301 ◽  
pp. 126901
Author(s):  
Tsai-Chi Kuo ◽  
Ni-Ying Hsu ◽  
Reza Wattimena ◽  
I-Hsuan Hong ◽  
Chin-Jung Chao ◽  
...  
Keyword(s):  
Dynamic Model ◽  
Circular Economy ◽  
System Dynamic ◽  
System Dynamic Model ◽  
Packaging Waste

Aero-engine dynamic model based on an improved compact propulsion system dynamic model

2021 ◽  
pp. 095965182098408
Author(s):  
Qiangang Zheng ◽  
Yong Wang ◽  
Chongwen Jin ◽  
Haibo Zhang
Keyword(s):  
Dynamic Model ◽  
Propulsion System ◽  
System Dynamic ◽  
Inlet Temperature ◽  
System Dynamic Model ◽  
Component Level ◽  
Engine Model ◽  
Surge Margin ◽  
Aero Engine ◽  
Engine Dynamic

The modern advanced aero-engine control methods are onboard dynamic model–based algorithms. In this article, a novel aero-engine dynamic modeling method based on improved compact propulsion system dynamic model is proposed. The aero-engine model is divided into inlet, core engine, surge margin and nozzle models for establishing sub-model in the compact propulsion system dynamic model. The model of core engine is state variable model. The models of inlet, surge margin and nozzle are nonlinear models which are similar to the component level model. A new scheduling scheme for basepoint control vector, basepoint state vector and basepoint output vector which considers the change of engine total inlet temperature is proposed to improve engine model accuracy especially the steady. The online feedback correction of measurable parameters is adopted to improve the steady and dynamic accuracy of model. The modeling errors of improved compact propulsion system dynamic model remain unchanged when engine total inlet temperature of different conditions are the same or changes small. The model accuracy of compact propulsion system dynamic model, especially the measurable parameters, is improved by online feedback correction. Moreover, the real-time performance of compact propulsion system dynamic model and improved compact propulsion system dynamic model are much better than component level model.

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