IDEAS home Printed from https://ideas.repec.org/a/wly/padxxx/v42y2022i5p281-292.html
   My bibliography  Save this article

Personal privacy VS. public safety: A hybrid model of the use of smart city solutions in fighting the COVID‐19 pandemic in Moscow

Author

Listed:
  • Sergey A. Revyakin

Abstract

Technological advancements and big data have brought many improvements to smart city infrastructure. During the COVID‐19 outbreak, smart city technologies were considered one of the most effective means of fighting the pandemic. The use of technology, however, implies collecting, processing personal data, and making the collected data publicly available which may violate privacy. While some countries were able to freely use these technologies to fight the pandemic, many others were restricted by their privacy protection legislation. The literature suggests looking for an approach that will allow the effective use of smart city technologies during the pandemic, while complying with strict privacy protection legislation. This article explores the approach applied in Moscow, Russia, and demonstrates the existence of a hybrid model that might be considered a suitable tradeoff between personal privacy and public health. This study contributes to the literature on the role of smart city technologies during pandemics and other emergencies.

Suggested Citation

  • Sergey A. Revyakin, 2022. "Personal privacy VS. public safety: A hybrid model of the use of smart city solutions in fighting the COVID‐19 pandemic in Moscow," Public Administration & Development, Blackwell Publishing, vol. 42(5), pages 281-292, December.
    • Handle: RePEc:wly:padxxx:v:42:y:2022:i:5:p:281-292
    DOI: 10.1002/pad.1997
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/pad.1997
    Download Restriction: no
    File URL: https://libkey.io/10.1002/pad.1997?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Hui Liu & Yanfei Li, 2020. "Smart cities for emergency management," Nature, Nature, vol. 578(7796), pages 515-515, February.
    2. Wonjoon Kim & Jeong-Dong Lee, 2009. "Measuring the Role of Technology-Push and Demand-Pull in the Dynamic Development of the Semiconductor Industry: The Case of the Global DRAM Market," Journal of Applied Economics, Taylor & Francis Journals, vol. 12(1), pages 83-108, May.
    3. Kuziemski, Maciej & Misuraca, Gianluca, 2020. "AI governance in the public sector: Three tales from the frontiers of automated decision-making in democratic settings," Telecommunications Policy, Elsevier, vol. 44(6).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sick, Nathalie & Preschitschek, Nina & Leker, Jens & Bröring, Stefanie, 2019. "A new framework to assess industry convergence in high technology environments," Technovation, Elsevier, vol. 84, pages 48-58.
    2. Zhang, Weidong & Zuo, Na & He, Wu & Li, Songtao & Yu, Lu, 2021. "Factors influencing the use of artificial intelligence in government: Evidence from China," Technology in Society, Elsevier, vol. 66(C).
    3. Sanghoon Lee & Wonjoon Kim, 2017. "The knowledge network dynamics in a mobile ecosystem: a patent citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 717-742, May.
    4. Tan Yigitcanlar & Rashid Mehmood & Juan M. Corchado, 2021. "Green Artificial Intelligence: Towards an Efficient, Sustainable and Equitable Technology for Smart Cities and Futures," Sustainability, MDPI, vol. 13(16), pages 1-14, August.
    5. Vasiliki Koniakou, 2023. "From the “rush to ethics” to the “race for governance” in Artificial Intelligence," Information Systems Frontiers, Springer, vol. 25(1), pages 71-102, February.
    6. Kim, Namil & Lee, Hyeokseong & Kim, Wonjoon & Lee, Hyunjong & Suh, Jong Hwan, 2015. "Dynamic patterns of industry convergence: Evidence from a large amount of unstructured data," Research Policy, Elsevier, vol. 44(9), pages 1734-1748.
    7. Albert Sanchez-Graells, 2024. "Resh(AI)ping Good Administration: Addressing the Mass Effects of Public Sector Digitalisation," Laws, MDPI, vol. 13(1), pages 1-15, February.
    8. Chi, Maomao & Wang, Weijun & Lu, Xinyuan & George, Joey F., 2018. "Antecedents and outcomes of collaborative innovation capabilities on the platform collaboration environment," International Journal of Information Management, Elsevier, vol. 43(C), pages 273-283.
    9. Sini V. Pillai & Ranjith S. Kumar, 2021. "The role of data-driven artificial intelligence on COVID-19 disease management in public sphere: a review," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 48(4), pages 375-389, December.
    10. Vahid Omidi & Abolfazl Shahabadi & Nader Mehregan, 2020. "Innovation Drivers in Developing Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 11(2), pages 707-720, June.
    11. Shet, Sateesh V. & Pereira, Vijay, 2021. "Proposed managerial competencies for Industry 4.0 – Implications for social sustainability," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    12. Hossein Sabzian & Mohammad Ali Shafia & Mehdi Ghazanfari & Ali Bonyadi Naeini, 2020. "Modeling the Adoption and Diffusion of Mobile Telecommunications Technologies in Iran: A Computational Approach Based on Agent-Based Modeling and Social Network Theory," Sustainability, MDPI, vol. 12(7), pages 1-36, April.
    13. Chih-Hao Yang & Yen-Yu Liu & Chia-Hsin Chiang & Ya-Wen Su, 2023. "National IoMT platform strategy portfolio decision model under the COVID-19 environment: based on the financial and non-financial value view," Annals of Operations Research, Springer, vol. 328(1), pages 1151-1179, September.
    14. Atabek Atabekov, 2023. "Public Functions Implementation by Artificial Intelligence: Current Practices and Prospects for Common Measures within Particular Periods across Continents and Regions," Societies, MDPI, vol. 13(7), pages 1-24, July.
    15. Noha Diab & Nicoleta Isac & Cosmin Dobrin, 2022. "Artificial Intelligence (AI) and Jobs: The Impact of Pandemic on Governmental Organizations in Istanbul - Turkey," REVISTA DE MANAGEMENT COMPARAT INTERNATIONAL/REVIEW OF INTERNATIONAL COMPARATIVE MANAGEMENT, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 23(1), pages 46-64, March.
    16. Kaldasch, Joachim, 2015. "Dynamic Model of Markets of Successive Product Generations," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 10(3), pages 1-15.
    17. Kim, Wonjoon, 2015. "The current transition in management of technology education: The case of Korea," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 5-20.
    18. David, Sofia & Zinica, Daniel & Bărbuță-Mișu, Nicoleta & Savga, Larisa & Virlanuta, Florina-Oana, 2024. "Public administration managers' and employees' perceptions of adaptability to change under “the future of work” paradigm," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    19. Hyeokseong Lee & Namil Kim & Kiho Kwak & Wonjoon Kim & Hyungjoon Soh & Kyungbae Park, 2016. "Diffusion Patterns in Convergence among High-Technology Industries: A Co-Occurrence-Based Analysis of Newspaper Article Data," Sustainability, MDPI, vol. 8(10), pages 1-18, October.
    20. Lucia Vesnic‐Alujevic, 2021. "Imagining democratic societies of the future: Insights from a foresight study," Futures & Foresight Science, John Wiley & Sons, vol. 3(1), March.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:padxxx:v:42:y:2022:i:5:p:281-292. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0271-2075 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.