Open AccessValue generation from open government data in the public sector: Development and validation of a multidimensional scale
Author(s) -
Vanessa Hernandes Oliveira de Oliveira,
Paulo Pinheiro,
Nelson Guilherme Machado Pinto
Publication year - 2021
Publication title -
ejournal of edemocracy and open government
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.135
H-Index - 1
ISSN - 2075-9517
DOI - 10.29379/jedem.v13i2.667
Subject(s) - open data , public sector , open government , government (linguistics) , scale (ratio) , construct (python library) , measure (data warehouse) , process (computing) , business , value (mathematics) , public value , knowledge management , data science , computer science , process management , public relations , political science , data mining , world wide web , geography , linguistics , philosophy , cartography , machine learning , law , programming language , operating system
The use of open government data by governments can create opportunities and drive the digital transformation of the public sector. However, there is no integrative measure that assesses the factors that enable public organizations to effectively utilize open government data. The objective of this research was to develop and validate an instrument to assess the factors related to value generation from the use of open government data in the public sector. The construction of the scale was a three-step process. First, the items were structured. Next, a pilot study was performed. Lastly, the instrument was validated. The results indicate that the measure of value generation from the use of open government data is a multidimensional construct, which presents promising implications for future research. This study contributes by developing an instrument that can serve as an analysis tool that will aid public managers who are interested in utilizing open government data.