Open Access
Issue
ITM Web Conf.
Volume 51, 2023
International Conference on Exploring Service Science (IESS 2.3)
Article Number 01001
Number of page(s) 11
Section Service Science General Themes
DOI https://doi.org/10.1051/itmconf/20235101001
Published online 07 February 2023
  1. R. Mu, M. Haershan, P. Wu, Technological Forecasting and Social Change 174, 121220 (2022) [CrossRef] [Google Scholar]
  2. L. Walletzký, F. Romanovská, A.M. Toli, M. Ge, Research Challenges of Open Data as a Service for Smart Cities, in Proceedings of the 10th International Conference on Cloud Computing and Services Science, CLOSER 2020, Prague, Czech Republic, May 7-9, 2020, edited by D. Ferguson, M. Helfert, C. Pahl (2020), pp. 468–472 [Google Scholar]
  3. A. Visvizi, M. Lytras, E. Damiani, H. Mathkour, Journal of Science and Technology Policy Management 9, 126 (2018) [Google Scholar]
  4. P. Stepánek, M. Ge, Validation and Extension of the Smart City Ontology, in Proceedings of the 20th International Conference on Enterprise Information Systems, ICEIS 2018, Funchal, Madeira, Portugal, March 21-24, 2018, Volume 2 (2018), pp. 406–413 [Google Scholar]
  5. S. Zeng, Y. Hu, C. Llopis-Albert, Journal of Business Research 154, 113281 (2023) [CrossRef] [Google Scholar]
  6. L. Walletzký, L. Carubbo, M. Ge, Modelling Service Design and Complexity for Multi-contextual Applications in Smart Cities, in 2019 23rd International Conference on System Theory, Control and Computing (ICSTCC) (2019), pp. 101–106 [Google Scholar]
  7. M. Lytras, A. Visvizi, Sustainability 10, 1998 (2018) [Google Scholar]
  8. M. Ge, B. Buhnova, DISDA: Digital Service Design Architecture for Smart City Ecosystems, in Proceedings of the 12th International Conference on Cloud Computing and Services Science, CLOSER 2022„ Online Streaming, April 27-29, 2022, edited by M. van Steen, D. Ferguson, C. Pahl (SCITEPRESS, 2022), pp. 207–214 [Google Scholar]
  9. B. Buhnova, T. Kazickova, M. Ge, L. Walletzký, F. Caputo, L. Carrubbo, in Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities: Designing for Sustainability, edited by P.M. Pardalos, S.T. Rassia, A. Tsokas (Springer, 2022), Springer Optimization and Its Applications, pp. 63–95 [Google Scholar]
  10. L. Walletzký., O. Bayarsaikhan., M. Ge., Z. Schwarzová., Evaluation of Smart City Models: A Conceptual and Structural View, in Proceedings of the 11th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS, INSTICC (SciTePress, 2022), pp. 56–65, ISBN 978-989-758-572-2, ISSN 2184-4968 [Google Scholar]
  11. M. Hämäläinen, P. Tyrväinen, Improving Smart City Design: A Conceptual Model for Governing Complex Smart City Ecosystems (2018), pp. 265–277 [Google Scholar]
  12. V. Fernandez-Anez, J.M. Fernández-Güell, R. Giffinger, Cities 78, 4 (2018) [CrossRef] [Google Scholar]
  13. D. Li, J. Shan, Z. Shao, X. Zhou, Y. Yao, Geo-spatial Information Science 16, 13 (2013) [CrossRef] [Google Scholar]
  14. L. Walletzký, B. Buhnova, L. Carrubbo, Value-Driven Conceptualization of Services in the Smart City: A Layered Approach (2018), pp. 85–98, ISBN 978-3-319-61966-8 [Google Scholar]
  15. M. Dragoicea, L. Walletzký, L. Carrubbo, N.G. Badr, A.M. Toli, F. Romanovská, M. Ge, IEEE Access 8, 185526 (2020) [CrossRef] [Google Scholar]
  16. Z. Stanicek, SSME*: Service Systems, Modeling, Execution, Education, Evaluation, Study material of SSME study field at the Faculty of Informatics, Masaryk University, Brno (2009) [Google Scholar]
  17. O. Bayarsaikhan, Master thesis, Masaryk Univerzity, Fakulty of informatics, Brno (2021 [cit. 2022-08-15]), sUPERVISOR: Leonard Walletzký, https://is.muni.cz/th/tku18/ [Google Scholar]
  18. F. Romanovská, Diplomová práce, Masarykova univerzita, Fakulta informatiky, Brno (2021 [cit. 2022-12-20]), sUPERVISOR: Leonard Walletzký, https://is.muni.cz/th/bfrpp/ [Google Scholar]

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