Objectives and expected results

The proposed research project will primarily try to overcome the current diversity of approaches, models and indicators and to develop consistent models for application within each country, on the key decision-making levels. The results of the proposed research are important for several reasons. The development of integrated indicator models and corresponding tools represent important progress in the field of e-government metrics research and may be used as an applicable foundation when designing and evaluating national e-government policies, primarily in Slovenia, while the models will be applicable in other environments as well, because it is a problem most countries are facing with.

Methodologically, the developed models will be adaptable to other fields of public policies evaluation, as well. In addition, a strong point of the designed integral hierarchical decision model is the fact that it enables simultaneous evaluation of policy impacts at several levels; that includes their qualitative evaluation, ranking and also graphical presentation of results, using suitable information tools. In the current fierce financial circumstances which will define the further development of public sector, the development of suitable conceptual solutions, supported by information tools, seem to be a key instrument for evaluation and optimization of public policies. We believe that expected results fully correspond to European directive on reducing administrative burdens and costs for 25 % till 2012 as well as with priorities in this call in which first priority is development of ICT solutions in the field of public sector and evaluation of public policies.

The proposed research consists of three phases:

1. State of the art. At this stage, we will conduct a thorough study of literature and analysis of the situation and the approaches that have been developed in individual countries and at international level in recent years. The project group is relatively well familiar with this field; hence this phase will be focused on a synthesis of prior theoretical research and existing models and approaches. The latter will be classified according to our initial five-level model (Figure 1) and subsequently a set of possible indicators will be identified.

2. Development of the models. This stage consists of: refinement of indicators, removal of overlaps/duplicates and their classification, integration of approaches and indicators into consistent integrated model, selection of key indicators for all five hierarchical levels, determining the attributes of indicators, definition of measurement units, set of values and data sources. Definition of the indicators database design.

3. Development of the information solution prototype on the basis of the developed decision models and testing. Selection of suitable software tools for model testing and development of indicators database. Testing the model on the basis of selected data, evaluation and optimization.