Innovative System for the Knowledge Economy

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Pillar 2: Capitalize

Pillar 2 of the Innovative System is a three-phased stratagem for transitioning Human-Capital resilience and Open-data initiatives into the creation of Knowledge Societies.
The realized potential of Human-Capital is validated through the institutional deployment of Axiological Psychology. The validation is ascertained by Axiological assessment. While the Axiological assessment validates a country's socio-economic competitiveness, the mathematical result leads the way to Model the Investment Absorptive Capacity for the reclamation of unrealized potential. The reclamation of unrealized potential improves upon a country's Human-Capital resilience and thus, increases potential for a positive return of investment. Becoming Human-Capital resilient is also conflated with strong leadership in the transparency of governance and through the Public Good of civic engagement. The absorption of an Axiological assessment driven Crowdsourcing program to answer the question "what is public good?" bolsters Human-Capital resilience of a country and strengthens the permanence for its governance. Axiological assessments to Crowdsourcing of "what is public good?" concretenizes transparency and further enables FDI potential.

Crowdsourcing civic engagement allows OGP planers to better reinforce the spillover mechanism in the creation of Knowledge Societies as part of the new ICT workforce. The Axiological assessment of Crowdsourcing is a viable resource for refining open-data policy while fostering transparency and fighting against corruption. The creation of a new ICT workforce is recognized among the next generation of Science, Technology, Engineering, and Mathematics (STEM) professionals. Resourcing STEM workers as part of the Knowledge Society harnesses Human Capital.

Phase 1: Model
The Human-Capital Model provides the framework for the creation of Knowledge Societies with incentives for investment of capital and innovation. The Model builds capacity from the Institutional spillover into Knowledge Societies as a asset-based workforce to mechanize the open-data initiative. The Absorptive Capacity of Knowledge Societies is reinforced through the Axiological Model for valuation of Crowdsourcing of "what is public good?".

Phase 2: Resource
ICT training for Web 3 progression provisions Knowledge Societies with the technological capability essential to Crowdsourcing Open-data initiatives into the Public Good. Crowdsourcing Public Good through Knowledge Societies provides governance with civic engagement readied for transparency and permanence.

Phase 3: Deploy
Rapid deployment of innovation and capital investment are catalysts to economic growth for the launching of the Knowledge Economy Trade. Knowledge Societies mechanize the Crowdsourcing of Public Good through the distribution of government data as information for Institutional and public use. Knowledge Societies support the Institutional driven Domain Repositories in the production and use of knowledge as a product and service of the Knowledge Economy Trade.

Copyright 2010-2012 by Robert Louis Short. All rights reserved.
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