Abdi, A., Sedrakyan, G., Veldkamp, B.
et al. Students feedback analysis model using deep learning-based method and linguistic knowledge for intelligent educational systems.
Soft Comput 27, 14073–14094 (2023).
https://doi.org/10.1007/s00500-023-07926-2
Allison, J. T., Cardin, M. A., McComb, C., Ren, M. Y., Selva, D., Tucker, C., ... & Zhao, Y. F. (2022). Artificial Intelligence and Engineering Design.
Journal of Mechanical Design,
144(2).
https://doi.org/10.1115/1.4053111
AlMulhim, A. (2020). The effect of tacit knowledge and organizational learning on financial performance in service industry.
Management Science Letters, 10(10), 2211-2220.
https://doi.org/10.5267/j.msl.2020.3.015
Aramoon, E., & Aramoon, V. (2019). Identifying and prioritizing the cultural factors effective on the successful implementation of knowledge management in the industry of electronic insurance services.
Romanian Journal of Information Technology and Automatic Control,
29(2), 69-84.
https://doi.org/10.33436/v29i2y201906
Butkus, M., Dargenytė-Kacilevičienė, L., Matuzevičiūtė, K., Ruplienė, D., & Šeputienė, J. (2022). Do Gender and Age Matter in Employment–Sectoral Growth Relationship Over the Recession and Expansion.
Ekonomika,
101(2), 38-51.
https://doi.org/10.15388/Ekon.2022.101.2.3
Grubel, H. G., & Walker, M. A. (2019). Modern service sector growth: Causes and effects.
Services in world economic growth, 1-34.
https://doi.org/10.4324/9780429305849-1
Guckenbiehl, P. (2022). Investigating Knowledge and Business Model Innovation for Start-up Success (Doctoral dissertation).
Hassanzadeh, M. (2021). Editor’s Note: Transformational Knowledge Management: A New Generation of Knowledge Management to Facilitate Digital Transformation. Information Management Sciences and Technologies, 7(4): 14-7. [in Persian]
Hassanzadeh, M. (2021). The Fifth Data Revolution, the Unparalleled Role of Intelligent Agents and the Necessity of a National Data Organization. Information Management Sciences and Technologies, 7(3): 7-16. [in Persian]
Huang, F., Cheng, L. Distant supervision knowledge extraction and knowledge graph construction method for supply chain management domain.
Auton. Intell. Syst. 4, 7 (2024).
https://doi.org/10.1007/s43684-024-00064-y
Li, K., Niskanen, J., Kolehmainen, M., & Niskanen, M. (2016). Financial innovation: Credit default hybrid model for SME lending. Expert Systems with Applications, 61, 343-355.
Kang, X. (2021). Combining rough set theory and support vector regression to the sustainable form design of hybrid electric vehicle.
Journal of Cleaner Production,
304, 127137.
https://doi.org/10.1016/j.jclepro.2021.127137
Magoti, E., & Mtui, J. M. (2020). The relationship between economic growth and service sector in Tanzania: An empirical investigation. African Journal of Economic Review, 8(2), 219-238.
Nordsieck, R., Heider, M., Winschel, A. and Hähner, J. (2021). Knowledge Extraction via Decentralized Knowledge Graph Aggregation.
IEEE 15th International Conference on Semantic Computing (ICSC), 2021, pp. 92-99,
https://doi.org/10.1109/ICSC50631.2021.00024.
Ogata, H., Liang, C., Toyokawa, Y. et al. Co-designing Data-Driven Educational Technology and Practice: Reflections from the Japanese Context. Tech Know Learn (2024). https://doi.org/10.1007/s10758-024-09759-w
Parriaux, G., Reffay, C., Drot-Delange, B., Khaneboubi, M. (2023). Teachers’ Knowledge in Informatics—Exploring Educational Robotics Resources Through the Lens of Textual Data Analysis. In: Pellet, JP., Parriaux, G. (eds) Informatics in Schools. Beyond Bits and Bytes: Nurturing Informatics Intelligence in Education. ISSEP 2023. Lecture Notes in Computer Science, vol 14296. Springer, Cham. https://doi.org/10.1007/978-3-031-44900-0_10
Peng, C., Xia, F., Naseriparsa, M. et al. Knowledge Graphs: Opportunities and Challenges. Artif Intell Rev 56, 13071–13102 (2023). https://doi.org/10.1007/s10462-023-10465-9
Rojas, M.P., Chiappe, A. Artificial Intelligence and Digital Ecosystems in Education: A Review. Tech Know Learn (2024). https://doi.org/10.1007/s10758-024-09732-7
Sedkaoui, S., Khelfaoui, M., & Kadi, N. (2021). Does Technological Context Support Academic Entrepreneurship Activities in Algeria?. In
Digital Literacy and Socio-Cultural Acceptance of ICT in Developing Countries (pp. 79-100). Springer, Cham.
https://doi.org/10.1007/978-3-030-61089-0_6
Segooa, M. A., Kalema, B. M., & Zolait, A. H. (2019, September). Predictive analytics to improve outcome-based funding for the public universities in South Africa through big data. In
2019 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT) (pp. 1-6). IEEE.
https://doi.org/10.1109/3ICT.2019.8910285
Sghir, N., Adadi, A. & Lahmer, M. Recent advances in Predictive Learning Analytics: A decade systematic review (2012–2022).
Educ Inf Technol 28, 8299–8333 (2023).
https://doi.org/10.1007/s10639-022-11536-0
Waghmare, S. (2020). APPLICATION OF KNOWLEDGE MANAGEMENT ADOPTION IN SERVICE INDUSTRY.
International Journal of Advanced Research. 8. 538-542.
https://doi.org/10.21474/IJAR01/10327
Zielińska, K. (2016). Financial stability in the eurozone.
Comparative Economic Research,
19(1), 157-177.
https://doi.org/10.1515/cer-2016-0009
Zimpel-Leal, K., & Lettice, F. (2021). Generative mechanisms for scientific knowledge transfer in the food industry.
Sustainability,
13(2), 955.
https://doi.org/10.3390/su13020955