Evaluating the Impact of Open Data Using Partial Least Squares Structural Equation Modeling

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F15%3A39899493" target="_blank" >RIV/00216275:25410/15:39899493 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Evaluating the Impact of Open Data Using Partial Least Squares Structural Equation Modeling

Popis výsledku v původním jazyce

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 thepublic 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.

Název v anglickém jazyce

Evaluating the Impact of Open Data Using Partial Least Squares Structural Equation Modeling

Popis výsledku anglicky

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 thepublic 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.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

AE - Řízení, správa a administrativa

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Scientific Papers of the University of Pardubice - Series D, Faculty of Economics and Administration

ISSN

1211-555X

e-ISSN

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Svazek periodika

22

Číslo periodika v rámci svazku

34

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

13

Strana od-do

29-41

Kód UT WoS článku

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EID výsledku v databázi Scopus

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