Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Government data analytics, innovative, absorptive and citizens-demand sensing capability: a fuzzy set analysis

Government data analytics, innovative, absorptive and citizens-demand sensing capability: a fuzzy... Big data has been widely associated with business enterprises. Recent theoretical and practical evidence denote that the use of Big data by government can boost service quality, accountability and decision-making. This paper draws on knowledge-based theory (KBT) to demonstrate how government data analytics (GDA) practices fosters innovation, absorptive and citizens-demand sensing capability in the public sector. Survey data were obtained randomly from employees working in the Jordanian Interior ministry and a fuzzy sets (fsQCA) technique was used to analyse the data. According to the findings from fsQCA: GDA practices and organisational tenure are the necessary recipes for innovative capability, citizens-demand sensing capability and absorptive capability. However, employees age, income and education were not important recipes. Implications for theory and practices are discussed alongside the limitations and future research direction. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Services Operations and Informatics Inderscience Publishers

Government data analytics, innovative, absorptive and citizens-demand sensing capability: a fuzzy set analysis

Loading next page...
 
/lp/inderscience-publishers/government-data-analytics-innovative-absorptive-and-citizens-demand-M8gPSAHtYq

References

References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.

Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
1741-539X
eISSN
1741-5403
DOI
10.1504/IJSOI.2020.111295
Publisher site
See Article on Publisher Site

Abstract

Big data has been widely associated with business enterprises. Recent theoretical and practical evidence denote that the use of Big data by government can boost service quality, accountability and decision-making. This paper draws on knowledge-based theory (KBT) to demonstrate how government data analytics (GDA) practices fosters innovation, absorptive and citizens-demand sensing capability in the public sector. Survey data were obtained randomly from employees working in the Jordanian Interior ministry and a fuzzy sets (fsQCA) technique was used to analyse the data. According to the findings from fsQCA: GDA practices and organisational tenure are the necessary recipes for innovative capability, citizens-demand sensing capability and absorptive capability. However, employees age, income and education were not important recipes. Implications for theory and practices are discussed alongside the limitations and future research direction.

Journal

International Journal of Services Operations and InformaticsInderscience Publishers

Published: Jan 1, 2020

There are no references for this article.