Government data analytics, innovative, absorptive and citizens-demand sensing capability: a fuzzy set analysis Online publication date: Wed, 18-Nov-2020
by Yousef Riyad Al-Saraireh; Murat Akkaya; Arif Sari
International Journal of Services Operations and Informatics (IJSOI), Vol. 10, No. 4, 2020
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.
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