Συνέδριο

Συγγραφείς: Loukis E., Charalabidis Y., Alexopoulos C.
Τίτλος: A Methodology for Determining the Value Generation Mechanism and the Improvement Priorities of Open Government Data Systems
Συνέδριο: 2nd International Symposium and 24th National Conference on Operational Research
Editors:
Ed: Όχι
Eds: Όχι
Σελίδες:
Να εμφανιστεί: Όχι
Μήνας: Σεπτέμβριος
Έτος: 2013
Τόπος: National Technical University of Athens, Greece
Εκδότης:
Δεσμός:
Όνομα αρχείου: HELORS_2013_OGD_Paper.pdf##^^&&619720538.pdf
Περίληψη: Many government agencies worldwide have started making considerable investments for developing information systems that enable opening important data they possess to the society, in order to be used for scientific, commercial and political purposes. In order to rationalise and support future decisions concerning the development, upgrade, improvement and management of this new type of information systems it is important to understand better what value they create and how, and at the same time to identify the main improvements they require. This paper contributes in this direction presenting a methodology for determining the value generation mechanism of open government data (OGD) systems and also priorities for their improvement. It is based on the estimation of a ‘value model’ of the OGD system under evaluation from users’ ratings. It consists of several value dimensions and their corresponding value measures, organized in three ‘value layers’, and also the relations among them. These three value layers concern value related to the efficiency of the OGD (= quality of the various capabilities it provides to the users), its effectiveness (= degree of supporting users for achieving their objectives) and also users’ future behavior intentions respectively. The proposed methodology has been applied successfully to an advanced OGD system developed as part of the European project ENGAGE (‘An Infrastructure for Open, Linked Governmental Data Provision towards Research Communities and Citizens’), providing to interesting insights and improvement priorities. This first application provides evidence that our methodology can be a useful decision support tool for important ODG systems development, upgrade, improvement and management decisions.