IoT Challenges in Data and Citizen-centric Smart City Governance

Sebastian, A.; Sivagurunathan, S.; Ganeshan, V. Muthu

doi:10.1007/978-3-319-76669-0_6

Cited by 10 publications

(5 citation statements)

References 17 publications

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“…Findings from the data space layer suggest that this layer comprises of commercial, private, and open data from third parties such as weather forecast, road traffic status and EV status. This finding is also consistent with results from the literature (Sebastian et al, 2018;Rodr ıguez Bol ıvar, 2019) which suggest that urban data repository is organized, accessed and identified using significant blocks of information, to ease accessibility. Hence, the data space is a data repository that provide meta data, real-time\online data and historical data to support platform pluggability in providing digital services via open and linked data.…”

Section: Discussion and Implications 61 Discussionsupporting

confidence: 90%

“…Thus, in smart urban transformation cities try to address challenges caused by urbanization in improving the quality of services provided to residents. As seen in Figure 1 based on findings from the literature (Chourabi et al, 2012;Antonova, 2018;Mukti and Prambudia, 2018;Sebastian et al, 2018;Jayasena et al, 2019) smart urban transformation is conceptualize into dimensions such as human, technology, built infrastructure and institutions. Cities deploy innovative technologies in order to achieve a competitive and sustainable city (Mukti and Prambudia, 2018).…”

Section: Introductionmentioning

confidence: 99%

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Modeling pervasive platforms and digital services for smart urban transformation using an enterprise architecture framework

Anthony

Petersen

Helfert

et al. 2021

ITP

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PurposeIn smart cities pervasive systems are deployed by enterprises and stakeholders in municipalities to provide digital services to citizens. But cities are faced with the challenge of achieving system pluggability, mainly service integration due to numerous actors and systems needed for smart urban transformation. Hence, there is need to employ a comprehensive and holistic approach to help achieve service integration of pervasive platforms. Therefore, this study presents an Enterprise Architecture Framework (EAF) to support smart urban transformation.Design/methodology/approachIn this study the design science research methodology is adopted based on a multi-case studies of two organizations and data is collected using semi-structured interview from an organizations and municipality in Norway to validate how service integration can be achieved by the developed EAF to address pluggability challenges faced in urban environment.FindingsFindings suggest that the presented EAF provides the structure to manage changes and maintain urban transformation and aims to align the business with the underlying information systems from the perspective of the stakeholders. Additionally, findings from the case studies modelled in ArchiMate language depict how service integration of different pervasive platforms provide digital services for smart urban transformation.Research limitations/implicationsThis research only employed semi-structured interviews to validate service integration of digital platforms, other identified dimensions of pluggability were not fully addressed in this study.Practical implicationsFindings from the case studies provides insights on how pervasive platforms can be integrated to achieve a pluggable digital service from different stakeholders and data sources in practice. The developed EAF presented in this study provide a model that supports collection and exchange of data from different data sources in smart urban environment to enable the provision and consumption of digital services.Social implicationsThe developed EAF aids system pluggability of actors and systems in providing digital service such as smart urban transformation that contributes to sustainable use of electric mobility in cities.Originality/valueAs cities increasingly deploy pervasive platforms to support urban innovation, researchers are seeking to explore how these platforms shape urban transformation. Presently, prior studies do not offer important insights into pervasive platform management from urban perspective. Against this backdrop, this study employs the information systems perspective of digital platforms literature roots in software development and physical product development to depict how the EAF can be employed to describe specific cases that integrate different pervasive platforms deployed by different stakeholders communicating to co-create collective digital services to citizens.

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Section: Discussion and Implications 61 Discussionsupporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Modeling pervasive platforms and digital services for smart urban transformation using an enterprise architecture framework

Anthony

Petersen

Helfert

et al. 2021

ITP

View full text Add to dashboard Cite

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“…Las tecnologías emergentes cambian la forma de planificar, desarrollar y gestionar nuestras ciudades. Dada la tendencia en el aumento del uso de tecnología móvil, los gobiernos locales se ven obligados a adoptar y utilizar nuevas tecnologías para planificar, comunicar y relacionarse con los ciudadanos (Sebastian et al, 2018). Riggs (2018) argumenta que los métodos de representación digital y las nuevas tecnologías pueden enriquecer la participación de la comunidad y democratizar el proceso de planificación.…”

Section: Tecnologías Emergentes Específicasunclassified

Tecnologías emergentes en gobiernos locales: Una revisión sistemática de literatura con la metodología PRISMA

Valle-Cruz,

Gil-García

2022

REMAP

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Las tecnologías emergentes tienen el potencial de transformar la administración pública de una forma inimaginada. En este sentido, este documento se enfoca en analizar a las tecnologías emergentes en gobiernos locales usando la metodología PRISMA. Las preguntas que guían la investigación son: ¿cuáles son las tecnologías emergentes utilizadas por los gobiernos locales? Y ¿cuáles son los retos y consecuencias del uso de las tecnologías emergentes en los gobiernos locales? Los hallazgos muestran tres tipos de tecnologías emergentes: 1) Básicas (como la tecnología móvil, la Web 2.0, las páginas web y las TIC), 2) De vanguardia (como Blockchain, inteligencia artificial, macrodatos (Big Data) e Internet de las cosas) y 3) Específicas y aplicadas a las ciudades inteligentes, agricultura urbana, conciencia ambiental y telesalud. Aunque la implementación de tecnologías emergentes puede resultar en beneficios para el sector público, uno de los retos consiste en acortar la brecha entre desarrolladores de tecnología y tomadores de decisiones. Asimismo, la inescrutable condición de algunos algoritmos y la capacidad de vigilancia masiva de algunas tecnologías emergentes amenazan la libertad de las sociedades y pueden deshumanizar algunos procesos en el sector público.

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“…Managing and building people trust is a key challenge in sustainable smart city development. Data-and citizen-centric smart city governance is essentially built trust [319]. However, Falco proposed the concept of participatory AI, and he argued that engaging the public will not only increase community trust in AI [249].…”

Section: Lack Of Trust In Ai and Iotmentioning

confidence: 99%

Analyzing the Adoption Challenges of the Internet of Things (IoT) and Artificial Intelligence (AI) for Smart Cities in China

Wang

Zhao²,

Gangadhari

et al. 2021

Sustainability

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Smart cities play a vital role in the growth of a nation. In recent years, several countries have made huge investments in developing smart cities to offer sustainable living. However, there are some challenges to overcome in smart city development, such as traffic and transportation management, energy and water distribution and management, air quality and waste management monitoring, etc. The capabilities of the Internet of Things (IoT) and artificial intelligence (AI) can help to achieve some goals of smart cities, and there are proven examples from some cities like Singapore, Copenhagen, etc. However, the adoption of AI and the IoT in developing countries has some challenges. The analysis of challenges hindering the adoption of AI and the IoT are very limited. This study aims to fill this research gap by analyzing the causal relationships among the challenges in smart city development, and contains several parts that conclude the previous scholars’ work, as well as independent research and investigation, such as data collection and analysis based on DEMATEL. In this paper, we have reviewed the literature to extract key challenges for the adoption of AI and the IoT. These helped us to proceed with the investigation and analyze the adoption status. Therefore, using the PRISMA method, 10 challenges were identified from the literature review. Subsequently, determination of the causal inter-relationships among the key challenges based on expert opinions using DEMATEL is performed. This study explored the driving and dependent power of the challenges, and causal relationships between the barriers were established. The results of the study indicated that “lack of infrastructure (C1)”, ”insufficient funds (C2)”, “cybersecurity risks (C3)”, and “lack of trust in AI, IoT” are the causal factors that are slowing down the adoption of AI and IoT in smart city development. The inter-relationships between the various challenges are presented using a network relationship map, cause–effect diagram. The study’s findings can help regulatory bodies, policymakers, and researchers to make better decisions to overcome the challenges for developing sustainable smart cities.

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IoT Challenges in Data and Citizen-centric Smart City Governance

Cited by 10 publications

References 17 publications

Modeling pervasive platforms and digital services for smart urban transformation using an enterprise architecture framework

Modeling pervasive platforms and digital services for smart urban transformation using an enterprise architecture framework

Tecnologías emergentes en gobiernos locales: Una revisión sistemática de literatura con la metodología PRISMA

Analyzing the Adoption Challenges of the Internet of Things (IoT) and Artificial Intelligence (AI) for Smart Cities in China

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