استفاده از یادگیری عمیق پشته‌ای مبتنی بر فرایادگیری جمعی در راستای پیش‌بینی موفقیت تحول دیجیتال با بهره‌گیری از چابکی سازمانی

AlMurtadha, Y. (2024). AI Prediction Model to Investigate the GovTech Maturity Index (GTMI) Indicators for Assessing Governments' Readiness for Digital Transformation. Journal of Applied Data Sciences, 5(4), 1838-1849. https://doi.org/10.47738/jads.v5i4.373

AprajitByte. (2023). Digital Transformation Dataset. https://www.kaggle.com/datasets/aprajitbyte/digital-transformation-dataset

Bekemeier, S., Caldeira Rego, C. R., Mai, H. L., Saikia, U., Waseda, O., Apel, M., & Schaarschmidt, J. (2025). Advancing digital transformation in material science: The role of workflows within the materialdigital initiative. Advanced Engineering Materials, 27(8), 2402149. https://doi.org/10.1002/adem.202402149

Einy, S., Oz, C., & Navaei, Y. D. (2021). Network Intrusion Detection System Based on the Combination of Multiobjective Particle Swarm Algorithm-Based Feature Selection and Fast-Learning Network. Wireless Communications and Mobile Computing, 2021(1), 6648351. https://doi.org/10.1155/2021/6648351

Eom, S. J., & Lee, J. (2022). Digital government transformation in turbulent times: Responses, challenges, and future direction. Government Information Quarterly, 39, 101690. https://doi.org/10.1016/j.giq.2022.101690

Gong, C., & Ribiere, V. (2025). Understanding the role of organizational agility in the context of digital transformation: An integrative literature review. VINE Journal of Information and Knowledge Management Systems, 55(2), 351-378. https://doi.org/10.1108/VJIKMS-09-2022-0312

Hendrawan, S. A., Chatra, A., Iman, N., Hidayatullah, S., & Suprayitno, D. (2024). Digital transformation in MSMEs: Challenges and opportunities in technology management. Jurnal Informasi Dan Teknologi, 6(2), 141-149. https://doi.org/10.60083/jidt.v6i2.551

Herdiyeni, Y., Juanda, B., Zhafira, N., Anggraeni, L., & Probokawuryan, M. (2026). Machine-learning-based assessment and prediction of digital transformation performance for MSMEs in Indonesia. International Journal of Information Technology and Decision Making, 25(1), 339-367. https://doi.org/10.1142/S0219622025500415

Hijazi, A., Ozaltin, O., & Uzsoy, R. (2024). All you need is an improving column: Enhancing column generation for parallel machine scheduling via transformers. arXiv preprint arXiv:2410.15601.

Hossin, M. E., Rahman, M. M., Hossain, S., Siddiqa, K. B., Rozario, E., Khair, F. B., & Mahmud, F. (2025). Digital Transformation in the USA Leveraging AI and Business Analytics for IT Project Success in the Post-Pandemic Era. Journal of Posthumanism, 5(4), 958-976. https://doi.org/10.63332/joph.v5i4.1180

Iscaro, V., Castaldi, L., Maresca, P., & Mazzoni, C. (2022). Digital transformation in the economics of complexity: The role of predictive models in strategic management. Journal of Strategy and Management, 15(3), 450-467. https://doi.org/10.1108/JSMA-02-2021-0059

Izonin, I., Ilchyshyn, B., Tkachenko, R., Gregus, M., Shakhovska, N., & Strauss, C. (2022). Towards data normalization task for the efficient mining of medical data. 2022 12th International Conference on Advanced Computer Information Technologies (ACIT),

Kujawa, A., Booth, T., & Vercauteren, T. (2025). Beyond one-hot encoding? Journey into compact encoding for large multi-class segmentation. In International Workshop on Efficient Medical Artificial Intelligence (pp. 1-10). https://doi.org/10.1007/978-3-032-13961-0_1

Liu, C. (2022). Risk prediction of digital transformation of manufacturing supply chain based on principal component analysis and backpropagation artificial neural network. Alexandria Engineering Journal, 61(1), 775-784. https://doi.org/10.1016/j.aej.2021.06.010

Liu, R., Xue, H., & Xue, Q. (2025). The Study on Risk Prediction and Prevention Models for Enterprise Digital Transformation Based on Machine Learning. Proceedings of the 2025 2nd International Conference on Informatics Education and Computer Technology Applications,

Naidu, G., Zuva, T., & Sibanda, E. M. (2023). A review of evaluation metrics in machine learning algorithms. In Computer Science On-line Conference. https://doi.org/10.1007/978-3-031-35314-7_2

Nanehkaran, Y., Licai, Z., Chen, J., Jamel, A. A., Shengnan, Z., Navaei, Y. D., & Aghbolagh, M. A. (2022). Anomaly Detection in Heart Disease Using a Density-Based Unsupervised Approach. Wireless Communications and Mobile Computing, 2022(1), 6913043. https://doi.org/10.1155/2022/6913043

Nanehkaran, Y., Licai, Z., Chen, J., Zhongpan, Q., Xiaofeng, Y., Navaei, Y. D., & Einy, S. (2022). Diagnosis of chronic diseases based on patients' health records in IoT healthcare using the recommender system. Wireless Communications and Mobile Computing, 2022(1), 5663001. https://doi.org/10.1155/2022/5663001

Nguyen, K. C., Ngoc-Long, N., Ho, T. D., & Van Hai, T. (2025). Digital transformation, organizational agility, and firm performance in emerging markets: Evidence from Vietnam's machinery sector. Problems and Perspectives in Management, 23(3), 342. https://doi.org/10.21511/ppm.23(3).2025.25

Oh, K., Kho, H., Choi, Y., & Lee, S. (2022). Determinants for successful digital transformation. Sustainability, 14(3), 1215. https://doi.org/10.3390/su14031215

Omol, E. J. (2024). Organizational digital transformation: From evolution to future trends. Digital Transformation and Society, 3(3), 240-256. https://doi.org/10.1108/DTS-08-2023-0061

Pelletier, C., L'Ecuyer, F., & Raymond, L. (2025). Building organizational agility through digital transformation: A configurational approach in SMEs. Industrial Management and Data Systems, 125(4), 1503-1529. https://doi.org/10.1108/IMDS-05-2024-0488

Purnomo, S., Nurmalitasari, N., & Nurchim, N. (2024). Digital transformation of MSMEs in Indonesia: A systematic literature review. Journal of Management and Digital Business, 4(2), 301-312. https://doi.org/10.53088/jmdb.v4i2.1121

Raeesi Vanani, I., Taghavifard, M. T., & Yalpanian, M. A. (2025). Predictive Analytics Solution for Digital Capabilities Identification Towards Business Performance Improvement. Sn Computer Science, 6(1), 85. https://doi.org/10.1007/s42979-024-03630-6

Rane, N., Choudhary, S. P., & Rane, J. (2024). Ensemble deep learning and machine learning: Applications, opportunities, challenges, and future directions. Studies in Medical and Health Sciences, 1(2), 18-41. https://doi.org/10.48185/smhs.v1i2.1225

Sagala, G. H., & Ori, D. (2024). Toward SMEs digital transformation success: A systematic literature review. Information Systems and e-Business Management, 22(4), 667-719. https://doi.org/10.1007/s10257-024-00682-2

Shafiabady, N., Hadjinicolaou, N., Din, F. U., Bhandari, B., Wu, R. M., & Vakilian, J. (2023). Using Artificial Intelligence (AI) to predict organizational agility. PLoS One, 18(5), e0283066. https://doi.org/10.1371/journal.pone.0283066

Singun, A. J. (2025). Unveiling the barriers to digital transformation in higher education institutions: A systematic literature review. Discover Education, 4(1), 37. https://doi.org/10.1007/s44217-025-00430-9

Su, Y., Khan, M. T., Ullah, S., Kukreti, M., Sami, A., & Dangwal, A. (2026). Steering the digital transformation: How paradoxical leadership juggles innovation culture and organizational agility. Human Systems Management, 45(3), 396-407. https://doi.org/10.1177/01672533251372833

Suyal, M., & Sharma, S. (2024). A review on analysis of k-means clustering machine learning algorithm based on unsupervised learning. Journal of Artificial Intelligence and Systems, 6(1), 85-95. https://doi.org/10.33969/AIS.2024060106

Syarkani, Y. (2025). The mediating role of organizational agility in the relationship between digital transformation and firm performance. Journal of Social and Economics Research, 7(2), 102-116. https://doi.org/10.54783/jser.v7i2.1057

Weritz, P., Braojos, J., Matute, J., & Benitez, J. (2025). Impact of strategic capabilities on digital transformation success and firm performance: Theory and empirical evidence. European Journal of Information Systems, 34(3), 415-435. https://doi.org/10.1080/0960085X.2024.2311137

Xie, X., Navaei, Y. D., & Einy, S. (2023). A Clustering-Based Routing Protocol Using Path Pattern Discovery Method to Minimize Delay in VANET. Wireless Communications and Mobile Computing, 2023(1), 3776815. https://doi.org/10.1155/2023/3776815

Yuan, Y., & Sun, Y. (2024). Practices, challenges, and future of digital transformation in smallholder agriculture: Insights from a literature review. Agriculture, 14(12), 2193. https://doi.org/10.3390/agriculture14122193