Driving public sector innovation using big and open linked data (BOLD)

Janssen, Marijn; Konopnicki, David; Snowdon, Jane L.; Ojo, Adegboyega

doi:10.1007/s10796-017-9746-2

Cited by 96 publications

(84 citation statements)

References 37 publications

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“…In contrast, the innovation in service is more indirectly affected, as private companies might develop services for citizens based on open data that government has to compete with or incorporate, which can result in public service innovation. Policymaking innovation is the idea that government can use data to model future policy implications and support potential policy decisions (Janssen et al 2017). These theoretical developments closely mimic the discussion in the e-government field, where Bannister (2001) distinguishes among three themes, (1) the improvement and execution of public services linked to new technologies, (2) technologies transforming the way government is organized and (3) technologies boosting values such as transparency and accountability.…”

Section: Data-based Policymaking Frameworkmentioning

confidence: 97%

“…Janssen and Kuk (2016) go one step further and identify big and open linked data (BOLD) as a driver of government innovation. Janssen et al (2017) hypothesize that in the ecosystem of private actors and citizens, government is under pressure to adapt its institutional structures to new forms of data that then affect the delivery of policies. This datadriven innovation is facilitated by factors that can be strategic and political, organizational, linked to data governance or purely technical.…”

Section: Data-based Policymaking Frameworkmentioning

confidence: 99%

“…This datadriven innovation is facilitated by factors that can be strategic and political, organizational, linked to data governance or purely technical. A distinction among more general public innovation and data-driven innovation in the public sector is that it is not necessarily driven by public organizations, but might be facilitated by private organizations as well as citizens, which can result in new organizational forms (Janssen et al 2017):…”

Section: Data-based Policymaking Frameworkmentioning

confidence: 99%

“…These categories contain different levels of public and private involvement as well as the usage of the information produced (Janssen et al 2017). Co-creation-and crowdsourcingbased innovation both have high levels of participation and have an external component, as information is gathered outside of government with the goal of giving input on public developments.…”

Section: Data-based Policymaking Frameworkmentioning

confidence: 99%

See 3 more Smart Citations

Big data for policymaking: fad or fasttrack?

2017

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The buzz surrounding big data has taken shape in various theoretical and practical forms when it comes to policymaking. The paper combines current research streams with long-standing discussions on government and technology in public policy and public administration, such as e-government and evidence-based policymaking. The goal is to answer the question whether big data is a fleeting trend or has long-lasting effects on policymaking. Three larger themes in the literature are identified: First, the role that institutional capacity has within government to utilize big data analytics; second, government use of big data analytics in the context of digital public services; and finally, the way that big data information enters the policy cycle, focusing on substantive and procedural policy instruments. Examples from the education, crisis management, environmental and healthcare domain highlight the opportunities and challenges for each of these themes. Exploring the various aspects of big data and policymaking shows that big data is here to stay, but that its utilization by government will take time due to institutional barriers and capacity bottlenecks.

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Section: Data-based Policymaking Frameworkmentioning

confidence: 97%

Section: Data-based Policymaking Frameworkmentioning

confidence: 99%

Section: Data-based Policymaking Frameworkmentioning

confidence: 99%

Section: Data-based Policymaking Frameworkmentioning

confidence: 99%

See 2 more Smart Citations

Big data for policymaking: fad or fasttrack?

2017

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“…Santana et al (2017) suggested that policy planners should address the issues related to data quality and its scalability in smart city context. Janssen et al (2017) and Pereira et al (2017) revealed in their research that big open data initiatives can help in providing real-time weather forecast, pollution and traffic management, creating transparency, better decision and policy-making and crisis management etc., and contribute to enhance the delivery of public value in smart city contexts. Social (SOC) category of barriers occupies next place in the main priority list.…”

Section: Gov) -Economic (Eco) -Technology (Tech) -Social (Soc) -Envirmentioning

confidence: 99%

Barriers to the Development of Smart Cities in Indian Context

Luthra²,

et al. 2018

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Smart city development is gaining considerable recognition in the systematic literature and international policies throughout the world. The study aims to identify the key barriers of smart cities from a review of existing literature and views of experts in this area. This work further makes an attempt on the prioritisation of barriers to recognise the most important barrier category and ranking of specific barriers within the categories to the development of smart cities in India. Through the existing literature, this work explored 31 barriers of smart cities development and divided them into six categories. This research work employed fuzzy Analytic Hierarchy Process (AHP) technique to prioritise the selected barriers. Findings reveal that 'Governance' is documented as the most significant category of barriers for smart city development followed by 'Economic; 'Technology'; 'Social'; 'Environmental' and 'Legal and Ethical'. In this work, authors also performed sensitivity analysis to validate the findings of study. This research is useful to the government and policymakers for eradicating the potential interferences in smart city development initiatives in developing countries like India.

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Research themes in big data analytics for policymaking: Insights from a mixed‐methods systematic literature review

Suominen

Hajikhani

2021

Policy & Internet

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The use of big data and data analytics are slowly emerging in public policy-making, and there are calls for systematic reviews and research agendas focusing on the impacts that big data and analytics have on policy processes. This paper examines the nascent field of big data and data analytics in public policy by reviewing the literature with bibliometric and qualitative analyses. The study encompassed scientific publications gathered from SCOPUS (N = 538). Nine bibliographically coupled clusters were identified, with the three largest clusters being big data's impact on the policy cycle, data-based decision-making, and productivity. Through the qualitative coding of the literature, our study highlights the core of the discussions and proposes a research agenda for further studies.

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Driving public sector innovation using big and open linked data (BOLD)

Cited by 96 publications

References 37 publications

Big data for policymaking: fad or fasttrack?

Big data for policymaking: fad or fasttrack?

Barriers to the Development of Smart Cities in Indian Context

Research themes in big data analytics for policymaking: Insights from a mixed‐methods systematic literature review

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