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A Value-Based and Multi-Level Model of Macro Economies  [PDF]
Marcel van Marrewijk
Technology and Investment (TI) , 2010, DOI: 10.4236/ti.2010.11005
Abstract: There is sufficient evidence that performance levels of various economic systems differ. All systems seem to have particular benefits, but all of them are adequately aligned with the dynamics and complexity of con-temporary societies. In this paper, the author introduces a sequence of ideal type economic systems, based on Spiral Dynamics, a theory explaining levels of existence within people, groups of people, organizations and societies. Per type the author elaborates on the underlying value systems and relating institutional structures, such as leadership style, governance and measurement format.
A Typology of Institutional Frameworks for Organizations  [PDF]
Marcel Van Marrewijk
Technology and Investment (TI) , 2010, DOI: 10.4236/ti.2010.12012
Abstract: Inspired by Dr. Clare Graves’ research on evolutionary developments in value systems and levels of existence, this paper introduces an integral business framework—a sequence of ideal type organizations—each characterized by specific institutional arrangements. A table—the transition matrix—summarizes the specific features of each type. It is an update of former version based upon an international EU-financed ECSF research project [1].
Strategic Orientations: Multiple Ways for Implementing Sustainable Performance  [PDF]
Marcel Van Marrewijk
Technology and Investment (TI) , 2010, DOI: 10.4236/ti.2010.12010
Abstract: The Four Phase Model®, created by prof. dr. Teun W. Hardjono [1] in 1995, distinguishes four ideal type strategic orientations and shows that these strategies brighten and dim in a specific sequence, adding the most required competences to the organization, and creating a natural rhythm to corporate dynamics. By applying this theory one can understand the nature and whereabouts of the organization’s systemic constraints, revealing the basic features for creating a roadmap towards sustainable performance improvement and competence development. The model generates the top priorities, selects the most adequate (ideal type) interventions and key performance indicators. Combining strategic “situations” as indicated by the Four Phase Model and phase-wise “contexts” as introduced by Spiral Dynamics [2], provides a conceptual synergy with four innovative outcomes: Firstly, aligned with specific contexts, the strategic interventions and KPI’s can be made more specific and practical, thus creating a roadmap for performance improvement and organizational development. Secondly, it structures change management into four distinctive hierarchical complexity levels: 1) enhancing fundamental skills, structures and procedures (vitalizing); 2) improving contemporary levels, aligned with the dominant value system (optimizing); 3) new re-orientations while continuing within current systems (shifting) and 4) a transformation to a more complex context or emerging value system (transforming). Thirdly, powered with the combined understanding of above concepts, one can deduct the specific context and situation for each intervention, instrument or approach to be applied effectively. Fourthly, the combination provided the bases for the so-called Strategy Scan and Strategic Sustainability Scan.
The Cubrix, an Integral Framework for Managing Performance Improvement and Organisational Development  [PDF]
Marcel van Marrewijk
Technology and Investment (TI) , 2010, DOI: 10.4236/ti.2010.11001
Abstract: Marcel van Marrewijk, academic director of Research to Improve, has developed an integral, multi-level, multi-disciplinary and multi-stakeholder management framework, based on a phase-wise development ap-proach as described by Clare Graves’ Levels of Existence Theory, Ken Wilber’s Four Quadrant Theory and the author’s Global Excellence Model. This conceptual framework is coined, the Cubrix. This paper shortly introduces the three original concepts and shows how these models have been merged into the Cubrix. In part two the author demonstrates how Research to Improve designed various surveys, scans, monitors and assessments, all based on this framework. Furthermore, the Cubrix has also been supportive in designing the Performance Improvement Cycle and offer input for developing roadmaps for transitions in organization development.
Teaching PCA through Letter Recognition  [PDF]
Tanja Van Hecke
Creative Education (CE) , 2011, DOI: 10.4236/ce.2011.23040
Abstract: This article presents the use of a real life problem to reach a deeper understanding among students of the benefits of principal components analysis. Pattern recognition applied on the 26 letters of the alphabet is a recognizable topic for the students. Moreover it is still verifiable with computer algebra software. By means of well defined exercises the student can be guided in an active way through the learning process.
Spin Polarization of the Uniform Three-Dimensional Electron Gas  [PDF]
H. Van Cong
Journal of Modern Physics (JMP) , 2011, DOI: 10.4236/jmp.2011.29122
Abstract: A simple-and-analytic form for total energy (or ground-state energy) in the uniform three-dimensional electron gas, expressed as a function of any Wigner-Seitz radius rs and relative spin polarization ζ is obtained with a very good accuracy of 0.036% from the Stoner model and our interpolation between high-and-low density limits with use of a two-point approach for the correlation energy and spin stiffness at rs = 1 and 70. This suggests a satisfactory desciption of some physical properties such as: paramagnetic-ferromagnetic phase transition and thermodynamic-and-optical phenomena.
Mood States are Not Associated with BMI in Mentally Healthy Adults  [PDF]
Charles Halloran van Wijk
Psychology (PSYCH) , 2011, DOI: 10.4236/psych.2011.25076
Abstract: The relationship between Body Mass Index (BMI) and mental health has been widely investigated, and recent evidence has shown that overweight and obese individuals may be more vulnerable to the development of anxiety and mood disorders than individuals of a normal weight. This article examines the association between BMI and mood states of mentally healthy adults. BMI and Brunel Mood Scale (BRUMS) scores, and other demographic information, was collected from healthy adults over a six month period (N = 1621). When age was controlled, only a small but significant negative correlation between BMI and Depression in men was found, which stands in contrasts to previous studies. This may be due to the sample of mentally healthy adults with less incidence of severe obesity due to their military background. Further, African samples may have different expressions for non-clinical distress than industrialised countries which may lead to skewed results. The findings suggests that measures of transient mood states, like the BRUMS, may not be particularly useful in investigating relationships between mental health constructs and anthropometric measures, like BMI.
A Different Development Model in China’s Western and Eastern Provinces?  [PDF]
Meine Pieter van Dijk
Modern Economy (ME) , 2011, DOI: 10.4236/me.2011.25084
Abstract: Economic growth in China has declined between 2008 and 2009. The global financial crisis of 2008/9 has shown a number of structural weaknesses in the Chinese economy, such as the functioning of its capital and labor markets and the substantial income differences between the developed eastern and less developed western provinces. Migration is the linchpin of China’s development model; workers move from the western to the eastern provinces and back, in particular because of the crisis. How has China reacted to the financial crisis of 2008? After assessing the Chinese stimulus program and its negative effects on liquidity in general and the financial sector in particular some of the resulting issues, such as a dual development model for the eastern and western part of China and the development of the internal market at the expense of more export will be reviewed, before assessing which factors can still constrain China’s ascent.
Influence of the Neutron Flux Characteristic Parameters in the Irradiation Channels of Reactor on NAA Results Using k0-Standardization Method  [PDF]
Tran Van Hung
American Journal of Analytical Chemistry (AJAC) , 2012, DOI: 10.4236/ajac.2012.33033
Abstract: An approximation method using to estimate the influence of the uncertainties of the neutron flux characteristic parameters in the irradiation positions on the NAA results using k0-standardization technique was presented. Those are the epithermal reactor neutron spectrum shape-factor α, the effective resonace energy Ε for a given nuclide and the thermal to epithermal neutron flux ratio f. The method is applied to estimate the effect of the uncertainties in the determination of α Ε, and f on final NAA results for some irradiation channels of the Dalat reactor. It also shows that presented method is suitable in practical use for the estimation of the errors due to the uncertainty of the neutron flux characteristic parameters at the irradiation position.
Comparisons of VAR Model and Models Created by Genetic Programming in Consumer Price Index Prediction in Vietnam  [PDF]
Pham Van Khanh
Open Journal of Statistics (OJS) , 2012, DOI: 10.4236/ojs.2012.23029
Abstract: In this paper, we present an application of Genetic Programming (GP) to Vietnamese CPI in?ation one-step prediction problem. This is a new approach in building a good forecasting model, and then applying inflation forecasts in Vietnam in current stage. The study introduces the within-sample and the out-of-samples one-step-ahead forecast errors which have positive correlation and approximate to a linear function with positive slope in prediction models by GP. We also build Vector Autoregression (VAR) model to forecast CPI in quaterly data and compare with the models created by GP. The experimental results show that the Genetic Programming can produce the prediction models having better accuracy than Vector Autoregression models. We have no relavant variables (m2, ex) of monthly data in the VAR model, so no prediction results exist to compare with models created by GP and we just forecast CPI basing on models of GP with previous data of CPI.
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