Sustainable development of smart cities through municipal waste incinerators: the examples of artificial intelligence in technological entrepreneurship
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F24%3APU155246" target="_blank" >RIV/00216305:26510/24:PU155246 - isvavai.cz</a>
Result on the web
<a href="https://sciendo.com/article/10.2478/emj-2024-0037" target="_blank" >https://sciendo.com/article/10.2478/emj-2024-0037</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.2478/emj-2024-0037" target="_blank" >10.2478/emj-2024-0037</a>
Alternative languages
Result language
angličtina
Original language name
Sustainable development of smart cities through municipal waste incinerators: the examples of artificial intelligence in technological entrepreneurship
Original language description
The article aims to analyse AI’s use for optimising management processes in urban waste incineration plants, making them consistent with the implementation of the sustainable development goals SDG #11 and SDG #12. The triangulation of research methods was chosen to achieve the most reliable research outcomes. The case study was the selected qualitative method. Among the available techniques, two were selected: Computer-Assisted Web Interviewing (CAWI) and in-depth interviews, both of which were employed to gather the necessary data. Scientific research analysed the AI-based technologies used by individual incinerators. The analysis encompassed trends in waste incineration plants utilising AI for sustainable development in smart cities, particularly for achieving SDG#11 and SDG#12, focusing on leveraging AI to enhance environmental outcomes. The effect of using AI in municipal waste incineration plants for SDG#11 and SDG#12 can be applied to other entities implementing the principles of sustainable development in smart cities. The identified trends underscore the importance of adopting and implementing integrated policies and plans that address inclusion, resource efficiency, climate change mitigation and adaptation.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
50704 - Environmental sciences (social aspects)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Engineering Management in Production and Services
ISSN
2543-6597
e-ISSN
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Volume of the periodical
16
Issue of the periodical within the volume
4
Country of publishing house
PL - POLAND
Number of pages
12
Pages from-to
127-138
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85211771371