0a1f294e-b03a-41d4-aae1-abe946cab59f beie director@blueeyesintelligence.org 10.35940/ijrte.E7991.12050124 10.3390/su12166426B. Ahn and H. Ahn, "Factors Affecting Intention to Adopt Cloud-Based ERP from a Comprehensive Approach," Sustainability, vol. 12, no. 16, p. 6426, Aug. 2020, doi: https://doi.org/10.3390/su12166426.10.2139/ssrn.4472561X. Liu, C.-W. Liu, S. Jiang, and J. Duan, "Does Less Mean More? A Large-Scale Randomized Field Experiment Investigating the Impact of Vip Label Absence on User Conversion in Freemium Platforms," Social Science Research Network, Jan. 2023, doi: https://doi.org/10.2139/ssrn.4472561.10.1177/02683962211023780M. Schreieck, M. Wiesche, and H. Krcmar, "EXPRESS: Capabilities for Value Co-Creation and Value Capture in Emergent Platform Ecosystems: A Longitudinal Case Study of SAP's Cloud Platform," Journal of Information Technology, p. 026839622110237, Jun. 2021, doi: https://doi.org/10.1177/02683962211023780.10.1109/JIOT.2019.2949629A. Mavromatis, C. Colman-Meixner, A. P. Silva, X. Vasilakos, R. Nejabati, and D. Simeonidou, "A Software-Defined IoT Device Management Framework for Edge and Cloud Computing," IEEE Internet of Things Journal, vol. 7, no. 3, pp. 1718-1735, Mar. 2020, doi: https://doi.org/10.1109/jiot.2019.2949629.10.1177/00081256221118117S. E. Sampson and R. B. Chase, "Optimizing Customer Involvement: How Close Should You Be to Your Customers?," California Management Review, vol. 65, no. 1, p. 000812562211181, Oct. 2022, doi: https://doi.org/10.1177/00081256221118117.10.1108/BIJ-07-2021-0415S. Bag, G. Srivastava, M. M. A. Bashir, S. Kumari, M. Giannakis, and A. H. Chowdhury, "Journey of customers in this digital era: Understanding the role of artificial intelligence technologies in user engagement and conversion," Benchmarking: An International Journal, vol. ahead-of-print, no. ahead-of-print, Sep. 2021, doi: https://doi.org/10.1108/bij-07-2021-0415.10.22381/lpi2120223] R. Watson, "The Virtual Economy of the Metaverse: Computer Vision and Deep Learning Algorithms, Customer Engagement Tools, and Behavioral Predictive Analytics," www.addletonacademicpublishers.com. https://www.addletonacademicpublishers.com/contents-lpi/2445-volume-21-2022/4237-the-virtual-economy-of-the-metaverse-computer-vision-and-deep-learning-algorithms-customer-engagement-tools-and-behavioral-predictive-analytics (accessed Aug. 28, 2023).10.1111/cts.12910M. F. Dockendorf, B. J. Hansen, K. P. Bateman, M. Moyer, J. K. Shah, and L. A. Shipley, "Digitally Enabled, Patient‐Centric Clinical Trials: Shifting the Drug Development Paradigm," Clinical and Translational Science, vol. 14, no. 2, pp. 445-459, Nov. 2020, doi: https://doi.org/10.1111/cts.12910.S. Okai-Ugbaje, K. Ardzejewska, A. Imran, A. Yakubu, and M. Yakubu, "Cloud-Based M-Learning: A Pedagogical Tool to Manage Infrastructural Limitations and Enhance Learning," International Journal of Education and Development using Information and Communication Technology, vol. 16, no. 2, pp. 48-67, 2020, Available: https://eric.ed.gov/?id=EJ1268798.10.1007/978-3-030-74575-2Y. Maleh, Y. Baddi, M. Alazab, L. Tawalbeh, and I. Romdhani, Eds., Artificial Intelligence and Blockchain for Future Cybersecurity Applications. Cham: Springer International Publishing, 2021. doi: https://doi.org/10.1007/978-3-030-74575-2.10.2196/13955T. A. Davenport et al., "Validation of the InnoWell Platform: Protocol for a Clinical Trial," JMIR Research Protocols, vol. 8, no. 5, p. e13955, May 2019, doi: https://doi.org/10.2196/13955.10.1007/978-1-4842-4470-8E. Bisong, Building Machine Learning and Deep Learning Models on Google Cloud Platform. Berkeley, CA: Apress, 2019. doi: https://doi.org/10.1007/978-1-4842-4470-8.10.1109/ACCESS.2019.2961511P. Pierleoni, R. Concetti, A. Belli, and L. Palma, "Amazon, Google and Microsoft Solutions for IoT: Architectures and a Performance Comparison," IEEE Access, vol. 8, pp. 5455-5470, 2020, doi: https://doi.org/10.1109/access.2019.2961511.10.1109/ICWS.2019.00058Fattah, S. M. M., Bouguettaya, A., & Mistry, S. (2019, July). Long-term iaas provider selection using short-term trial experience. In 2019 IEEE International Conference on Web Services (ICWS) (pp. 304-311). IEEE.10.1109/ICWS49710.2020.00014S. M. M. Fattah, A. Bouguettaya, and S. Mistry, "Signature-based Selection of IaaS Cloud Services," 2020 IEEE International Conference on Web Services (ICWS), Oct. 2020, doi: https://doi.org/10.1109/icws49710.2020.00014.10.1145/3318216.3363371N. J. Mitchell and K. Zunnurhain, "Google cloud platform security," Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, Nov. 2019, doi: https://doi.org/10.1145/3318216.3363371.10.1016/j.future.2020.01.057H. Yu, M. K. Afzal, Y. B. Zikria, A. Rachedi, and F. H. P. Fitzek, "Tactile Internet: Technologies, test platforms, trials, and applications," Future Generation Computer Systems, vol. 106, pp. 685-688, May 2020, doi: https://doi.org/10.1016/j.future.2020.01.057."Prospects for Artificial Intelligence (AI) Implementation to Design Personalized Customer Engagement Strategies," kjsim.somaiya.edu. https://kjsim.somaiya.edu/en/view-publication/371?type=proceeding&id=170060 (accessed Aug. 28, 2023)10.35940/ijrte.B3287.079220Behera, R. K., & Dhal, S. K. (2020). The Impact of ERP Systems on financial Performance of Central Public Sector Enterprises Working in Mineral and Metal Sector. In International Journal of Recent Technology and Engineering (IJRTE) (Vol. 9, Issue 2, pp. 144-149). https://doi.org/10.35940/ijrte.b3287.07922010.35940/ijitee.E2244.039520Kaushik, D. S., & Bhardwaj, Dr. A. (2020). Compressing Effort a nd Schedule i n ERP Implementations w ith Iterative Methodologies : Few Industrial Cases. In International Journal of Innovative Technology and Exploring Engineering (Vol. 9, Issue 5, pp. 1061-1067). https://doi.org/10.35940/ijitee.e2244.03952010.35940/ijeat.A2660.109119Wei*, K. S., Jabar, M. A., Abdullah, R. H., & Murad, M. A. A. (2019). An Exploratory Performance of Risks Factors for Pre-Implementation of ERP Project in Malaysia. In International Journal of Engineering and Advanced Technology (Vol. 9, Issue 1, pp. 3452-3455). https://doi.org/10.35940/ijeat.a2660.10911910.35940/ijmh.H0798.044820Patel, Dr. M., & Jaiswal, M. B. (2020). The Learning on CRM in ERP- with Special References to Selected Engineering Companies in Gujarat. In International Journal of Management and Humanities (Vol. 4, Issue 8, pp. 117-126). https://doi.org/10.35940/ijmh.h0798.04482010.35940/ijese.F2530.0610722Wanjau, S. K., Wambugu, G. M., & Oirere, A. M. (2022). Network Intrusion Detection Systems: A Systematic Literature Review of Hybrid Deep Learning Approaches. In International Journal of Emerging Science and Engineering (Vol. 10, Issue 7, pp. 1-16). https://doi.org/10.35940/ijese.f2530.0610722