Implementing Oracle HCM Cloud for Diversity and Inclusion A Technical Architecture and Deployment Guide
DOI:
https://doi.org/10.32628/CSEIT241061102Keywords:
Diversity and Inclusion Analytics, HCM Cloud Implementation, Bias Detection Algorithms, Talent Management Systems, Workplace Equity TechnologyAbstract
This technical article comprehensively examines Oracle HCM Cloud's implementation framework for Diversity and Inclusion (D&I) initiatives. The article explores the platform's advanced analytics capabilities, bias detection mechanisms, and industry-specific applications while providing detailed insights into its technical architecture and deployment strategies. The article demonstrates how machine learning algorithms, real-time analytics processing, and sophisticated data collection mechanisms work together to create an effective D&I management system. The article analyzes the platform's approach to privacy protection, compliance monitoring, and stakeholder engagement through various automated tools and customizable interfaces. By examining multiple case studies and implementation scenarios across different sectors, this article highlights the transformative potential of technology in advancing workplace equity. The article also addresses critical aspects of human-AI collaboration, career development frameworks, and success measurement methodologies, providing valuable insights for organizations seeking to enhance their D&I initiatives through technological innovation.
Downloads
References
Various Authors, "Why frugal innovation is of strategic importance to business in the world today," IEEE Engineering Management Review, July 2023. https://ieeexplore.ieee.org/abstract/document/10190074
Various Authors, "Oracle Cloud HCM Value Realization Report," Oracle, June 2020. https://www.oracle.com/in/a/ocom/docs/applications/hcm/hcm-2020-valuebenchmark-report.pdf
Various Contributors, "Enabling Road Detection Tasks via Collaborative Smart Vehicles," 2021 IEEE Internet of Things Journal >Volume: 9 Issue: 6. https://ieeexplore.ieee.org/document/9509770
Various Contributors, "A Study on the Gm Based Current Mode Capacitance Multipliers Implementation," 2018 IEEE. https://ieeexplore.ieee.org/document/8599276
Various Contributors, "Symmetric Information–Theoretic Metric Learning for Target Detection in Hyperspectral Imagery," 2021 IEEE Journal of selected topics. https://ieeexplore.ieee.org/document/9677962
Various Contributors, "Copy-Move Forgery Detection Algorithm based on Feature Point Clustering," 2022 IEEE.https://ieeexplore.ieee.org/document/9734556
Graham, B.E., Zaharie, M., & Osoian, C., "Inclusive Talent Management Philosophy, Talent Management Practices and Employees' Outcomes," European Journal of Training and Development, June 2023. https://www.researchgate.net/publication/371597086_Inclusive_talent_management_philosophy_talent_management_practices_and_employees'_outcomes
Various Contributors, "Talent Management and Diversity, Equity, and Inclusion in Private Sector Organizations," RAND Corporation, 2023. https://www.rand.org/content/dam/rand/pubs/research_reports/RRA900/RRA988-4/RAND_RRA988-4.pdf
Abhay Kumar Yadav, "Advancements and Challenges in Real-time Big Data Analytics: A Comprehensive Review," IJCRT | Volume 12, Issue 3 March 2024 | ISSN: 2320-2882. https://ijcrt.org/papers/IJCRT2403467.pdf
Various Contributors, "Algorithmic Fairness in AI," An Interdisciplinary View, Volume 65, pages 209–222, (2023). https://link.springer.com/article/10.1007/s12599-023-00787-x
Various Contributors, "A Reliable Deployment Strategy for Public Electric Vehicle Charging Stations," 2019 Winter Simulation Conference (WSC). https://ieeexplore.ieee.org/document/9004794
Downloads
Published
Issue
Section
License
Copyright (c) 2024 International Journal of Scientific Research in Computer Science, Engineering and Information Technology
This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
