Big Data and Transformational Government

Joseph, Rhoda C.; Johnson, Norman

doi:10.1109/mitp.2013.61

Cited by 108 publications

(65 citation statements)

References 6 publications

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“…It allows organisations to consolidate information at a lower cost and power up public services that rely heavily on accurate data, such as tax processing. Joseph and Johnson (2013), in their research of the US Department of Veterans Affairs, suggest that the automation and redesign of services through Big Data applications can reduce offline and administrative processing, and optimise current functions.…”

Section: Policy Implementationmentioning

confidence: 99%

“…Another key topic in the PPA literature tackles the reasons for this mismatch between the simultaneous overproduction and underconsumption of data in government (Johnson and Joseph 2013). It recognises that realising the potential of Big Data is not problem-free and analyses the barriers to adoption in the public sector.…”

Section: Challenges For Adoptionmentioning

confidence: 99%

“…More generally, organisational culture and inertia in some public sector organisations are also seen as limiting the adoption of new strategies to derive value from data (Joseph and Johnson 2013). Simultaneously, election cycles and the resultant changes to the political authorising environment could also impact the momentum and pace of Big Data transformation.…”

Section: Organisational Levelmentioning

confidence: 99%

See 2 more Smart Citations

Big Data and AI – A transformational shift for government: So, what next for research?

Pencheva¹,

Estève

Mikhaylov

2018

Public Policy and Administration

151

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Big Data and Artificial Intelligence will have a profound transformational impact on governments around the world. Thus, it is important for scholars to provide a useful analysis on the topic to public managers and policymakers. This study offers an in-depth review of the Policy and Administration literature on the role of Big Data and advanced analytics in the public sector. It provides an overview of the key themes in the research field, namely the application and benefits of Big Data throughout the policy process, and challenges to its adoption and the resulting implications for the public sector. It is argued that research on the subject is still nascent and more should be done to ensure that the theory adds real value to practitioners. A critical assessment of the strengths and limitations of the existing literature is developed, and a future research agenda to address these gaps and enrich our understanding on the topic is proposed.2

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Section: Policy Implementationmentioning

confidence: 99%

Section: Challenges For Adoptionmentioning

confidence: 99%

Section: Organisational Levelmentioning

confidence: 99%

See 1 more Smart Citation

Big Data and AI – A transformational shift for government: So, what next for research?

Pencheva¹,

Estève

Mikhaylov

2018

Public Policy and Administration

151

View full text Add to dashboard Cite

show abstract

“…Such benefits could be a potent tool for solving lingering social problems, such as transport congestion, healthcare provision and sustainable energy production (Scholl and Scholl 2014). While big data use could help transform government operations (Bertot and Choi 2013;Joseph and Johnson 2013;Yiu 2012), it could also potentially undermine public goals (Clarke 2016;Janssen and Van den Hoven 2015). Indeed, use of big data raises new challenges and poses new threats for government (Margetts and Sutcliffe 2013).…”

Section: Introductionmentioning

confidence: 99%

Big data in the public sector: Uncertainties and readiness

et al. 2016

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Big data is being implemented with success in the private sector and science. Yet the public sector seems to be falling behind, despite the potential value of big data for government. Government organizations do recognize the opportunities of big data but seem uncertain about whether they are ready for the introduction of big data, and if they are adequately equipped to use big data. This paper addresses those uncertainties. It presents an assessment framework for evaluating public organizations' big data readiness. Doing so demystifies the concept of big data, as it is expressed in terms of specific and measureable organizational characteristics. The framework was tested by applying it to organizations in the Dutch public sector. The results suggest that organizations may be technically capable of using big data, but they will not significantly gain from these activities if the applications do not fit their organizations and main statutory tasks. The framework proved helpful in pointing out areas where public sector organizations could improve, providing guidance on how government can become more big data ready in the future.

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“…As Davenport, Barth, and Bean [6] point out, big data differs from traditional data in that its advantages are achieved largely through analyzing the continuous streams of relevant data and their processes in real time (as opposed to static data that is stored), and incorporating the insights of data scientists engaged in on-demand decision analytics into business and operational functions at the core of the enterprise. Further, as Joseph and Johnson [12] suggest, bringing big data to bear on policy problems can expose new information patterns or unsuspected correlations that might point to better understandings or new interpretations and new ways to construct systems of work that lead to "transformational" or t-government, the next stage in the evolution of e-governance.…”

Section: Introductionmentioning

confidence: 99%