[
Anfilets, S., Bezobrazov, S., Golovko, V., Sachenko, A., Komar, M., Dolny, R., Kasyanik, V., Bykovyy, P., Mikhno, E., Osolinskyi, O. (2020). Deep multilayer neural network for predicting the winner of football matches. International Journal of Computing, 19(1), 70-77. https://doi.org/10.47839/ijc.19.1.1695
]Search in Google Scholar
[
Anthony Jnr, B. (2020). Managing digital transformation of smart cities through enterprise architecture – a review and research agenda. Enterprise Information Systems, 1–33. https://doi.org/10.1080/17517575.2020.1812006
]Search in Google Scholar
[
Anthony Jnr, B., Petersen, S. A., Helfert, M. (2020). Digital Transformation of Virtual Enterprises for Providing Collabo-rative Services in Smart Cities. Boosting Collaborative Networks 4.0. 249–260. Springer International Publishing. https://doi.org/10.1007/978-3-030-62412-5_21
]Search in Google Scholar
[
Anthony Jnr, B., Petersen, S. A., Krogstie, J. (2021). A model to evaluate the acceptance and usefulness of enterprise architecture for digitalization of cities. Kybernetes, 52(1). https://doi.org/10.1108/k-07-2021-0565
]Search in Google Scholar
[
Anthony Jnr, B., Petersen, S.A. (2023). Using an extended technology acceptance model to predict enterprise architecture adoption in making cities smarter. Environ Syst Decis, 43, 36–53 https://doi.org/10.1007/s10669-022-09867-x
]Search in Google Scholar
[
Anthony Jnr, B., Petersen, S.A. (2023). Validation of a Developed Enterprise Architecture Framework for Digitalisation of Smart Cities: a Mixed-Mode Approach. J Knowl Econ, 14, 1702–1733 https://doi.org/10.1007/s13132-022-00969-0
]Search in Google Scholar
[
Baldi, G., Megaro, A., Carrubbo, L. (2022). Small-Town Citizens’ Technology Acceptance of Smart and Sustainable City Development. Sustainability, 15(1), 325. https://doi.org/10.3390/su15010325
]Search in Google Scholar
[
Chen, G., Dong, S., Shu, Y., Zhang, G., Sesay, J., Karlsson, B.F., Fu, J., Shi, Y. (2023). AutoAgents: A Framework for Automatic Agent Generation. arXiv, 2309.17288v3. https://arxiv.org/html/2309.17288v3
]Search in Google Scholar
[
Dialogflow (2024). URL: https://dialogflow.com
]Search in Google Scholar
[
Duhan, M., Bhatia, P. K. (2022). Software Reusability Estimation based on Dynamic Metrics using Soft Computing Techniques. International Journal of Computing, 21(2), 188-194. https://doi.org/10.47839/ijc.21.2.2587
]Search in Google Scholar
[
Dulishkovych O., Lipyanina H., Sachenko O., Lendyuk T., Osolinskiy O., Kit I. (2021). Business process management of virtual enterprise based on augmented reality. CEUR Proceedings of the 2nd International Workshop IT Project Management, 2851, 422-431. https://ceur-ws.org/Vol-2851/paper39.pdf
]Search in Google Scholar
[
Guo, H., Li, J., Gao, S., Smite, D. (2021). Understanding How Enterprise Architecture Contributes to Organizational Alignment. Lecture Notes in Computer Science, 12896. Springer, Cham. https://doi.org/10.1007/978-3-030-85447-8_33
]Search in Google Scholar
[
Guo, Y.-M., Huang, Z.-L., Guo, J., Li, H., Guo, X.-R., Nkeli, M. J. (2019). Bibliometric Analysis on Smart Cities Research. Susta,inability, 11(13), 3606. https://doi.org/10.3390/su11133606
]Search in Google Scholar
[
Hendarman, A.F., Cantner, U. (2018). Soft skills, hard skills, and individual innovativeness. Eurasian Bus Rev 8, 139–169. https://doi.org/10.1007/s40821-017-0076-6
]Search in Google Scholar
[
Huang, K., Luo, W., Zhang, W., Li, J. (2021). Characteristics and Problems of Smart City Development in China. Smart Cities, 4(4), 1403–1419. https://doi.org/10.3390/smartcities4040074
]Search in Google Scholar
[
Huang, Y., Peng, H., Sofi, M., Zhou, Z., Xing, T., Ma, G., Zhong, A. (2022). The city management based on smart in-formation system using digital technologies in China. IET Smart Cities, 4(13). https://doi.org/10.1049/smc2.12035
]Search in Google Scholar
[
Iorio, S., Cilione, M., Martini, M., Tofani, M., Gazzaniga, V. (2022). Soft Skills Are Hard Skills – Historical Perspective. Medicina. 58(8):1044. https://doi.org/10.3390/medicina58081044
]Search in Google Scholar
[
Ismagilova, E., Hughes, L., Dwivedi, Y. K., Raman, K. R. (2019). Smart cities: Advances in research – An information systems perspective. International Journal of Information Management, 47, 88–100. https://doi.org/10.1016/j.ijinfomgt.2019.01.004
]Search in Google Scholar
[
Javed, A. R., Ahmed, W., Pandya, S., Maddikunta, P. K. R., Alazab, M., Gadekallu, T. R. (2023). A Survey of Explainable Artificial Intelligence for Smart Cities. Electronics, 12(4), 1020. https://doi.org/10.3390/electronics12041020
]Search in Google Scholar
[
Ji, T., Chen, J.-H., Wei, H.-H., Su, Y.-C. (2021). Towards people-centric smart city development: Investigating the citizens’ preferences and perceptions about smart-city services in Taiwan. Sustainable Cities and Society, 67, 102691. https://doi.org/10.1016/j.scs.2020.102691
]Search in Google Scholar
[
Komar, M., Sachenko, A., Bezobrazov, S., Golovko, V. (2017). Intelligent Cyber Defense System Using Artificial Neural Network and Immune System Techniques. Communications in Computer and Information Science, 783. Springer, Cham. https://doi.org/10.1007/978-3-319-69965-3_3
]Search in Google Scholar
[
Kovalchuk, O., Babala, L., Shynkaryk, M., Chopyk, P., Berezka, K., Basistyi, P. (2022). Data Mining Tools for Analysis of De-pendence of Gas Consuption of the Gas Price for Housholds of the EU Memberd-States, 2022 12th International Con-ference on Advanced Computer Information Technologies (ACIT), Ruzomberok, Slovakia. 267-271. https://doi.org/10.1109/ACIT54803.2022.9913139.
]Search in Google Scholar
[
Kovalchuk, O., Karpinski, M., Banakh, S., Kasianchuk, M., Shevchuk, R., Zagorodna, N. (2023). Prediction Machine Learning Models on Propensity Convicts to Criminal Recidivism. Information. 14(3):161. https://doi.org/10.3390/info14030161
]Search in Google Scholar
[
Kuzmak, O., Kuzmak, O. (2023). Social Responsibility of Business Towards Sustainable Development: Case of Ukraine. Collection of Papers New Economy, 1(1), 126-148. https://doi.org/10.61432/CPNE0101126k
]Search in Google Scholar
[
Lipianina-Honcharenko, K., Wolff, C., Sachenko, A., Desyatnyuk, O., Sachenko, S., Kit, I. (2023). Intelligent Information System for Product Promotion in Internet Market. Applied Sciences. 13(17):9585. https://doi.org/10.3390/app13179585.
]Search in Google Scholar
[
Lipianina-Honcharenko, K., Sachenko, A., Kulyk, V., Savchyshyn, R., Provozin, O., Shchur, S., & Kurpita, L. (2022). Sim-ulation Model Structure Of Business Processes For A Product Based On Auralization Technology. Computer Systems and Information Technologies, (4), 114–120. https://doi.org/10.31891/csit-2022-4-15
]Search in Google Scholar
[
Lipyanina, H., Maksymovych, V., Sachenko, A., Lendyuk, T., Fomenko, A., & Kit, I. (2020). Assessing the In-vestment Risk of Virtual IT Company Based on Machine Learning. In International Conference on Data Stream Mining and Processing, 167-187. Springer, Cham. https://doi.org/10.1007/978-3-030-61656-4_11
]Search in Google Scholar
[
Lipyanina, H., Sachenko, O., Lendyuk, T., Sachenko, A., & Vasylkiv, N. (2020). Intelligent Method of Forming the HR Management Short-Term Project. In Conference on Computer Science and Information Technologies, 1045-1055. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-63270-0_71
]Search in Google Scholar
[
Lytvyn, V., Vysotska, V., Shatskykh, V., Kohut, I., Petruchenko, O., Dzyubyk, L., Bobrivetc, V., Panasyuk, V., Sachenko, S., & Komar, M. (2019). Design of a recommendation system based on collaborative filtering and machine learning con-sidering personal needs of the user. Eastern-European Journal of Enterprise Technologies, 4(2 (100)), 6–28. https://doi.org/10.15587/1729-4061.2019.175507
]Search in Google Scholar
[
Mićić, L., Mastilo, Z. (2022). Digital workplace transformation: innovative approach after COVID-19 pandemic. ECONOMICS - Innovative and Economics Research Journal, 10(2), 63-76. https://doi.org/10.2478/eoik-2022-0014
]Search in Google Scholar
[
Pavlov, K., Pavlova, O., Ilyin, L., Novosad, O. & Bortnik, S. (2023). Assessment of Innovation and Investment Attractiveness of the Western Ukrainian Regional Market of Tourist Services. ECONOMICS - Innovative and Economics Research Journal, 11(1), 45-68. https://doi.org/10.2478/eoik-2023-0005
]Search in Google Scholar
[
Petersen, S.A., Pourzolfaghar, Z., Alloush, I., Ahlers, D., Krogstie, J., Helfert, M. (2019). Value-Added Services, Virtual Enterprises and Data Spaces Inspired Enterprise Architecture for Smart Cities. IFIP Advances in Information and Communication Technology, 568. Springer, Cham. https://doi.org/10.1007/978-3-030-28464-0_34
]Search in Google Scholar
[
Queiroz-Sousa, P. O., Salgado, A. C. (2019). A review on OLAP technologies applied to information networks. ACM Transactions on Knowledge Discovery from Data (TKDD), 14(1), 1-25. https://doi.org/10.1145/3370912
]Search in Google Scholar
[
Radu, L.-D. (2020). Disruptive Technologies in Smart Cities: A Survey on Current Trends and Challenges. Smart Cities, 3(3), 1022–1038. https://doi.org/10.3390/smartcities3030051
]Search in Google Scholar
[
Radu, L.-D., Vodă, A. I. (2023). Accelerating the Digital Transformation of Smart Cities in COVID-19 Pandemic Context. Smart Cities and Digital Transformation: Empowering Communities, Limitless Innovation, Sustainable Development and the Next Generation. 13–33. Emerald Publishing Limited. https://doi.org/10.1108/978-1-80455-994-920231002
]Search in Google Scholar
[
Radukic, S., Mastilo, Z., Kostic, Z., & Vladusic, L. (2019). Measuring of the goods and labor markets efficiency: comparative study of Western Balkan countries. Montenegrin Journal of Economics, 15(2), 95-109. https://doi.org/10.14254/1800-5845/2019.15-2.8
]Search in Google Scholar
[
Sharma, S., Arora, D., Shankar, G., Sharma, P., Motwani, V. (2023). House Price Prediction using Machine Learning Algorithm, 2023 7th International Conference on Computing Methodologies and Communication (ICCMC), Erode, India, 982-986, https://doi.org/10.1109/ICCMC56507.2023.10084197.
]Search in Google Scholar
[
Shevchenko, I. (2023). A Methodical Approach to Determining the Level of Development of Digital Trade in Global Markets. Collection of Papers New Economy, 1(1), 196-216. https://doi.org/10.61432/CPNE0101196s
]Search in Google Scholar
[
Sirola, M., Hulsund, J. E. (2021). Machine-Learning Methods in Prognosis of Ageing Phenomena in Nuclear Power Plant Components. International Journal of Computing, 20(1), 11-21. https://doi.org/10.47839/ijc.20.1.2086
]Search in Google Scholar
[
Sousa, P. O., Salgado, A. C. (2019). A review on OLAP technologies applied to information networks. ACM Transactions on Knowledge Discovery from Data (TKDD), 14(1), 1-25. https://doi.org/10.1145/3370912
]Search in Google Scholar
[
Wołowiec, T., Pavlov, K., Pavlova, O. & Zaichuk, K .(2022). Tourist Services of the Western Region of Ukraine: Rating and Analysis. ECONOMICS - Innovative and Economics Research Journal, 10(1) 183-198. https://doi.org/10.2478/eoik-2022-0007
]Search in Google Scholar
[
Xu, H., Geng, X. (2019). People-Centric Service Intelligence for Smart Cities. Smart Cities, 2(2), 135–152. https://doi.org/10.3390/smartcities2020010
]Search in Google Scholar
[
Yigitcanlar, T., Desouza, K. C., Butler, L., Roozkhosh, F. (2020). Contributions and Risks of Artificial Intelligence (AI) in Building Smarter Cities: Insights from a Systematic Review of the Literature. Energies, 13(6), 1473. https://doi.org/10.3390/en13061473
]Search in Google Scholar
