Abstract

Big data and analytics have received a lot of attention in e-government research over the last decade and practitioners and researchers are looking into the transformative power of this technology to create for example competitive advantage, and increase transparency. Recent research points out that while parties are aware of the transformative power of this technology, understanding the value that this technology can bring for their specific organizations still remains a challenge. Data analytics is in particular interesting to support supervision tasks of governments. Here we take the customs supervision as a typical example where data analytics is used to support government in its supervision role. The main question addressed in this paper is: How to understand the value of big data analytics for government supervision? To address this question this research builds upon a case study where big data analytics solutions are developed and piloted as part of the PROFILE EU-funded research project. We adapt and utilize a recently published integrated model of big data value realization of Gunther et al. [5] as a conceptual lens to structure the case findings. As a result we develop a more detailed model for analyzing value of big data specifically in the context of customs as an example of a specific domain of government supervision. This research contributes to the eGovernment literature on articulating value from big data analytics, particularly focusing on the role of government supervision.

Highlights

  • Big data and data analytics have received a lot of attention over the last decade and practitioners and researchers are looking into the transformative power of this technology to create for example competitive advantage or increase transparency

  • Building on Günther et al [5] and on a case study of using data analytics in the customs domain we developed a model for analyzing value of big data analytics in the customs supervision process and demonstrate how it can be applied

  • As our analysis demonstrates there is no simple answer on what is the value that data analytics can bring in a specific customs supervision process and benefits at one level have effects on other levels

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Summary

Introduction

Big data and data analytics have received a lot of attention over the last decade and practitioners and researchers are looking into the transformative power of this technology to create for example competitive advantage or increase transparency. A growing body of eGovernment research on big data focuses on Big Open and Linked Government Data [1, 6, 7, 9] Often in these studies the focus is on government providing public access to their data to allow for applying further analytics; for example to increase transparency, or to extract further value from government data. In this context the government is more in a role of a data provider, opening up their data for wider use. In this study we focus on examining the use of big data and analytics by government in its supervision role where government is a user of big data to improve the supervision process

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