A Systematic Review of Impediments Blocking Internet of Things Adoption by Governments

Brous, Paul; Janssen, Marijn

doi:10.1007/978-3-319-25013-7_7

Cited by 14 publications

(4 citation statements)

References 33 publications

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“…75]. When people or things act (or react) on an environment, that environment can be changed in unexpected ways [33]. Generally, actors follow a schema or "shared rules" such as norms, values, beliefs, and assumptions [34].…”

Section: Cas Elements Of Data Infrastructuresmentioning

confidence: 99%

Next Generation Data Infrastructures: Towards an Extendable Model of the Asset Management Data Infrastructure as Complex Adaptive System

2019

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Organizations are increasingly looking to adopt the Internet of Things (IoT) to collect the data required for data-driven decision-making. IoT might yield many benefits for asset management organizations engaged in infrastructure asset management, yet not all organizations are equipped to handle this data. IoT data is collected, stored, and analyzed within data infrastructures and there are many changes over time, resulting in the evolution of the data infrastructure and the need to view data infrastructures as complex adaptive systems (CAS). Such data infrastructures represent information about physical reality, in this case about the underlying physical infrastructure. Physical infrastructures are often described and analyzed in literature as CASs, but their underlying data infrastructures are not yet systematically analyzed, whereas they can also be viewed as CAS. Current asset management data models tend to view the system from a static perspective, posing constraints on the extensibility of the system, and making it difficult to adopt new data sources such as IoT. The objective of the research is therefore to develop an extensible model of asset management data infrastructures which helps organizations implement data infrastructures which are capable of evolution and aids the successful adoption of IoT. Systematic literature review and an IoT case study in the infrastructure management domain are used as research methods. By adopting a CAS lens in the design, the resulting data infrastructure is extendable to deal with evolution of asset management data infrastructures in the face of new technologies and new requirements and to steadily exhibit new forms of emergent behavior. This paper concludes that asset management data infrastructures are inherently multilevel, consisting of subsystems, links, and nodes, all of which are interdependent in several ways.

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Section: Cas Elements Of Data Infrastructuresmentioning

confidence: 99%

Next Generation Data Infrastructures: Towards an Extendable Model of the Asset Management Data Infrastructure as Complex Adaptive System

2019

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“…Data privacy is a significant issue in IoT as well, especially in urban setting. In case studies [30], data privacy and security were found to be the main impediments on the strategic level for the introduction of IoT for e-government. Data accuracy is another issue critical for the implementation of IoT in smart cities.…”

Section: Data Security and Data Privacymentioning

confidence: 98%

Using Disruptive Technologies in Government: Identification of Research and Training Needs

Ronzhyn¹,

Wimmer²,

Spitzer³

et al. 2019

Lecture Notes in Computer Science

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Over the past years, a number of new technologies have emerged with a potential to disrupt many spheres of the society. While public sector traditionally lacks behind business in innovation, significant changes are anticipated with the use of disruptive technologies. The implementation of the new technologies for the government service provision, along with possible benefits, need to be well thought through and challenges need to be carefully discussed, analysed and evaluated. This paper uses scenario-technique to identify research and training needs for the implementation of disruptive technologies in government services. Using the input of 58 experts from three workshops, research and training needs for the internet of things, artificial intelligence, virtual and augmented reality, as well as big data technologies have been identified. The identified needs can serve as a starting point for a broader and more informed discussion about the knowledge and skills that the researchers and practitioners of digital government need to obtain for the broad use of such new (disruptive) technologies.

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“…Data privacy is a significant issue in IoT as well, especially in urban setting. In case studies (Brous & Janssen, 2015), data privacy and security were found to be the main impediments on the strategic level for the introduction of IoT for digital government. Data accuracy is another issue, which is critical for the implementation of IoT in smart cities.…”

Section: Data Security and Data Privacymentioning

confidence: 98%

Transforming Government by Leveraging Disruptive Technologies

Wimmer

Pereira

Ronzhyn

et al. 2020

JeDEM

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While the public sector traditionally lags behind business in innovation, significant changes are anticipated with the broad diffusion of so-called disruptive technologies. The use of such technologies in public service, along with possible benefits, need to be well researched, and challenges be carefully discussed, analysed and evaluated. This paper applies scenario-based science and technology roadmapping to identify research and training needs in the implementation of disruptive technologies in public service. 70 experts reviewed 13 future scenarios and derived a number of research and training needs regarding internet of things, artificial intelligence, virtual and augmented reality, big data and other disruptive technologies. The identified needs serve as a starting point for a broader and more informed discussion about how such new (disruptive) technologies can be successfully deployed in the public sector - leveraging the benefits of these technologies while at the same time constraining the drawbacks affiliated with them.

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A Systematic Review of Impediments Blocking Internet of Things Adoption by Governments

Cited by 14 publications

References 33 publications

Next Generation Data Infrastructures: Towards an Extendable Model of the Asset Management Data Infrastructure as Complex Adaptive System

Next Generation Data Infrastructures: Towards an Extendable Model of the Asset Management Data Infrastructure as Complex Adaptive System

Using Disruptive Technologies in Government: Identification of Research and Training Needs

Transforming Government by Leveraging Disruptive Technologies

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