Success of IoT in Smart Cities of India: An empirical analysis

Chatterjee, Sheshadri; Kar, Arpan Kumar; Gupta, Mayank

doi:10.1016/j.giq.2018.05.002

Cited by 177 publications

(120 citation statements)

References 61 publications

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“…Further, early research emphasized that smart technologies institutionalize and mechanize processes by collecting and analyzing data and then solving problems without significant levels of human intervention (Chatterjee et al, 2018) and that interaction between humans and devices would result in 'superior judgements' (Sohoemaker & Tetlock, 2017). The literature has also J o u r n a l P r e -p r o o f emphasized that smart city spaces are governed by algorithmic administration and categorization (Dalton et al, 2020), whereas this research demonstrates that such an understanding is merely an imaginary.…”

Section: Theoretical Implicationsmentioning

confidence: 99%

Smart technologies for fighting pandemics: The techno- and human- driven approaches in controlling the virus transmission

Kummitha

2020

Government Information Quarterly

207

199

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How do governments in China and Western democracies differ in their technological response to control the transmission of the pandemic? Based on an analysis of academic papers, World Health Organization reports and newspapers, this research compares two opposing approaches, whereas the Chinese cities and government have adopted a techno-driven approach, Western governments have adopted a human-driven approach to control the transmission of Covid-19. The findings highlight that although the techno driven approach may be more productive to identify, isolate and quarantine infected individuals, it also results in the suppression and censoring the citizen views. It is further emphasized that human interaction with the technology is mediated by the political and institutional context in which the technologies are implemented. This paper contributes to literature by understanding the humantechnology relationship, and offers five practical observations for controlling virus transmissions during pandemics.

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Section: Theoretical Implicationsmentioning

confidence: 99%

Smart technologies for fighting pandemics: The techno- and human- driven approaches in controlling the virus transmission

Kummitha

2020

Government Information Quarterly

207

199

View full text Add to dashboard Cite

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“…Finally, AI systems can be used to both assist and analyze acceptance of new systems-particularly those associated with new technologies [109,163]. Online 'chatbots' can help residents navigate new websites and online platforms [109], with training and tips customized based on individualized needs and interests [164]. Furthermore, AI use reasoning and intuition to assist decision-makers understand the reasons behind citizen acceptance, or non-acceptance, of new technology [165].…”

Section: Ai In the Governance Dimension Of Smart Citiesmentioning

confidence: 99%

Contributions and Risks of Artificial Intelligence (AI) in Building Smarter Cities: Insights from a Systematic Review of the Literature

et al. 2020

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Artificial intelligence (AI) is one of the most disruptive technologies of our time. Interest in the use of AI for urban innovation continues to grow. Particularly, the rise of smart cities—urban locations that are enabled by community, technology, and policy to deliver productivity, innovation, livability, wellbeing, sustainability, accessibility, good governance, and good planning—has increased the demand for AI-enabled innovations. There is, nevertheless, no scholarly work that provides a comprehensive review on the topic. This paper generates insights into how AI can contribute to the development of smarter cities. A systematic review of the literature is selected as the methodologic approach. Results are categorized under the main smart city development dimensions, i.e., economy, society, environment, and governance. The findings of the systematic review containing 93 articles disclose that: (a) AI in the context of smart cities is an emerging field of research and practice. (b) The central focus of the literature is on AI technologies, algorithms, and their current and prospective applications. (c) AI applications in the context of smart cities mainly concentrate on business efficiency, data analytics, education, energy, environmental sustainability, health, land use, security, transport, and urban management areas. (d) There is limited scholarly research investigating the risks of wider AI utilization. (e) Upcoming disruptions of AI in cities and societies have not been adequately examined. Current and potential contributions of AI to the development of smarter cities are outlined in this paper to inform scholars of prospective areas for further research.

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“…Digital services also play a critical role in facilitating information and services access to the residents of smart cities (Chatterjee et al 2018;Chatterjee and Kar 2018a). The European Commission has also endorsed Bthe smart cityĉ alls to improve energy efficiency and green mobility for the community (Lazaroiu and Roscia 2012).…”

Section: Smart Cities Developmentmentioning

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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Success of IoT in Smart Cities of India: An empirical analysis

Cited by 177 publications

References 61 publications

Smart technologies for fighting pandemics: The techno- and human- driven approaches in controlling the virus transmission

Smart technologies for fighting pandemics: The techno- and human- driven approaches in controlling the virus transmission

Contributions and Risks of Artificial Intelligence (AI) in Building Smarter Cities: Insights from a Systematic Review of the Literature

Barriers to the Development of Smart Cities in Indian Context

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