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

Authors: Yousef Riyad Al-Saraireh; Murat Akkaya; Arif Sari

Addresses: Department of Management Information Systems, Girne American University, University Drive, P.O. Box 5, Karmi Campus, Karaoglanoglu, Kyrenia, 99428, North Cyprus ' Department of Management Information Systems, Girne American University, University Drive, P.O. Box 5, Karmi Campus, Karaoglanoglu, Kyrenia, 99428, North Cyprus ' Department of Management Information Systems, Girne American University, University Drive, P.O. Box 5, Karmi Campus, Karaoglanoglu, Kyrenia, 99428, North Cyprus

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.

Keywords: big data; absorptive capability; innovation capability; citizens-demand sensing capability; government data analytics practices.

DOI: 10.1504/IJSOI.2020.111295

International Journal of Services Operations and Informatics, 2020 Vol.10 No.4, pp.288 - 304

Received: 18 Dec 2019
Accepted: 07 Jan 2020
Published online: 18 Nov 2020 *

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