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A Proposal for a Standard With Innovation Management System

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5. Ontology-based asymmetry<br />

Jussi Kantola and Hannu Vanharanta<br />

The ontology-based collective perception of the domain shows the asymmetry of the knowledge of the<br />

domain. Different ontology-based viewpoints enable solid and valid communication regarding the<br />

knowledge domain. A well-constructed ontology enables innovation processes to be turned from<br />

productivity-centred processes into more per<strong>for</strong>mance-centred achievement-oriented processes. The<br />

starting point is always individuals who try to see the current real world from many windows and try to<br />

use their innovation competences to create a new future. By using collective knowledge asymmetry<br />

<strong>for</strong> innovation support, there are possibilities to find strong responsive environments with many<br />

innovation activities (Kantola et al., 2011).<br />

The collection of instances in the Evolute system reflects a specific management object (assets)<br />

portfolio under scrutiny. The collection of instances <strong>for</strong>ms the instance matrix (Kantola, 2009). The<br />

instance matrix, as a function of time, describes the <strong>Management</strong> Object development in the<br />

organization. In other words, it charts the organization’s assets over time. The instance matrix, as a<br />

function of time, can be stated as:<br />

ONTOLOGY identifier 1-m (individual 1 - n, instance 1 – k):<br />

The instance matrix is useful <strong>for</strong> managers and other stakeholders since it represents the collective<br />

mind of the target groups. It also saves the history of the organization’s assets. Figure 5 illustrates<br />

knowledge asymmetry based on the safety culture ontology.<br />

Figure 5: Knowledge asymmetry is the product of all instances, i.e. different viewpoints<br />

Figure 6 illustrates dynamic knowledge asymmetry based on the safety culture ontology over five time<br />

periods. In order to grasp our working reality, we should expand the instance matrix to cover all<br />

relevant assets (domain ontologies). There<strong>for</strong>e, in real life, the instance matrix will cover several<br />

domain ontologies that provide the base <strong>for</strong> a dynamic knowledge asymmetry over certain periods of<br />

time.<br />

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