Open Access Article SciPap-765
Evaluating the Impact of Open Data Using Partial Least Squares Structural Equation Modeling
by Renáta Bílková 1,* and Martin Lněnička 2

1 Faculty of Economics and Administration, Institute of System Engineering and Informatics, University of Pardubice, Studenská 84, Pardubice 53210, Czechia

2 Faculty of Economics and Administration, Institute of System Engineering and Informatics, University of Pardubice, Studenská 84, Pardubice 53210, Czechia

* Authors to whom correspondence should be addressed.

Abstract: Governments around the world are opening up their data to the public. This paper develops the issue of open data and their impact. More precisely, it evaluates how can be open data as a resource transformed to generate the impact and added value for the public sector. The main aim is to propose a new model, which uses attributes of open data in the context of the e-government development. The model consists of five enabling factors and five generating mechanisms (collaboration, efficiency, participation, transparency and innovation). To show the causal relationships between these constructs, the method of partial least squares structural equation modeling was chosen. By understanding the relationships, governments can improve their actions and investments in the context of e-government and related open data initiatives. The results suggest that the focus should be on the support of collaboration, participation and innovation processes in the public sector.

Keywords: Public Sector, E-Government, Open Data, Initiatives, Partial Least Squares, Structural Equation Modeling

JEL classification:   C39 - Other,   C52 - Model Evaluation, Validation, and Selection,   H83 - Public Administration • Public Sector Accounting and Audits,   L86 - Information and Internet Services • Computer Software,   O38 - Government Policy

SciPap 2015, 23(2), 765

Received: 6 February 2015 / Accepted: 2 September 2015 / Published: 16 September 2015