Access the full text.
Sign up today, get DeepDyve free for 14 days.
References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.
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.
International Journal of Services Operations and Informatics – Inderscience Publishers
Published: Jan 1, 2020
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.