Automating Critical HR Processes to Drive Business Efficiency in U.S. Corporations Using Oracle HCM Cloud

Nusrat Shaheen¹, Sunny Jaiswal², Pronoy Chopra³, Om Goel⁴, Prof. (Dr) Punit Goel⁵ & Prof.(Dr.) Arpit Jain⁶

¹Western Govern University, 4001 South 700 East Suite 700, Salt Lake City, UT 84107, nusratshaeb1@gmail.com

 ²Western Governor University, 4001 S 700 E #300, Millcreek, UT 84107, United States, sunjaieb1a@gmail.com

³University Of Oklahoma Norman, Ok 73019, United States, pronoyc10@gmail.com

 ⁴ABES Engineering College Ghaziabad, omgoeldec2@gmail.com

 ⁵Maharaja Agrasen Himalayan Garhwal University, Uttarakhand, drkumarpunitgoel@gmail.com

 ⁶KL University, Vijayawada, Andhra Pradesh, dr.jainarpit@gmail.com

Abstract

Automation has become a transformative force in Human Resource (HR) management, reshaping how U.S. corporations handle critical HR processes. Oracle HCM Cloud offers a comprehensive platform to streamline tasks such as payroll management, recruitment, employee onboarding, performance reviews, and compliance tracking. This study explores the integration of automation in HR operations, focusing on how Oracle HCM Cloud enhances efficiency, reduces manual errors, and ensures data accuracy. By automating routine tasks, organizations can shift their focus toward strategic decision-making, workforce planning, and talent management, driving overall business growth.

The research examines key benefits such as faster onboarding, improved employee self-service capabilities, real-time analytics, and automated reporting. It also highlights the reduction of administrative burdens, allowing HR teams to concentrate on value-added activities. Moreover, the study addresses how compliance with dynamic regulatory frameworks becomes more manageable with automated alerts and workflows in Oracle HCM Cloud.

Challenges related to implementing cloud-based automation, including data security, system integration, and user adoption, are also discussed. The findings suggest that a carefully executed deployment strategy can mitigate these challenges, fostering smoother transitions. This study concludes that U.S. corporations leveraging Oracle HCM Cloud for automating critical HR processes not only achieve operational efficiency but also create a more agile and responsive HR function. This transformation helps align human capital strategies with long-term business objectives, making organizations more competitive in the evolving business landscape.

Keywords

HR automation, Oracle HCM Cloud, business efficiency, U.S. corporations, payroll automation, employee onboarding, talent management, real-time analytics, compliance management, strategic HR transformation, operational efficiency, cloud-based HR solutions.

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• Ravi Kiran Pagidi, Rajas Paresh Kshir-sagar, Phanindra Kumar Kankanampati, Er. Aman Shrivastav, Prof. (Dr) Punit Goel, & Om Goel. (2022). Leveraging Data Engineering Techniques for Enhanced Business Intelligence. Universal Research Reports, 9(4), 561–581. https://doi.org/10.36676/urr.v9.i4.1392
• Rajas Paresh Kshirsagar, Santhosh Vijayabaskar, Bipin Gajbhiye, Om Goel, Prof.(Dr.) Arpit Jain, & Prof.(Dr) Punit Goel. (2022). Optimizing Auction Based Programmatic Media Buying for Retail Media Networks. Universal Research Reports, 9(4), 675–716. https://doi.org/10.36676/urr.v9.i4.1398
• Phanindra Kumar, Shashwat Agrawal, Swetha Singiri, Akshun Chhapola, Om Goel, Shalu Jain. “The Role of APIs and Web Services in Modern Procurement Systems,” IJRAR – International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume 9, Issue 3, Page No pp.292-307, August 2022, Available at: http://www.ijrar.org/IJRAR22C3164.pdf
• Rajas Paresh Kshirsagar, Rahul Arulkumaran, Shreyas Mahimkar, Aayush Jain, Dr. Shakeb Khan, Prof.(Dr.) Arpit Jain. “Innovative Approaches to Header Bidding: The NEO Platform,” IJRAR – International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume 9, Issue 3, Page No pp.354-368, August 2022, Available at: http://www.ijrar.org/IJRAR22C3168.pdf
• Phanindra Kumar Kankanampati, Siddhey Mahadik, Shanmukha Eeti, Om Goel, Shalu Jain, & Raghav Agarwal. (2022). Enhancing Sourcing and Contracts Management Through Digital Transformation. Universal Research Reports, 9(4), 496–519. https://doi.org/10.36676/urr.v9.i4.1382
• Satish Vadlamani, Raja Kumar Kolli, Chandrasekhara Mokkapati, Om Goel, Dr. Shakeb Khan, & Prof.(Dr.) Arpit Jain. (2022). Enhancing Corporate Finance Data Management Using Databricks And Snowflake. Universal Research Reports, 9(4), 682–602. https://doi.org/10.36676/urr.v9.i4.1394
• Satish Vadlamani, Nanda Kishore Gannamneni, Vishwasrao Salunkhe, Pronoy Chopra, Er. Aman Shrivastav, Prof.(Dr) Punit Goel, & Om Goel. (2022). Enhancing Supply Chain Efficiency through SAP SD/OTC Integration in S/4 HANA. Universal Research Reports, 9(4), 621–642. https://doi.org/10.36676/urr.v9.i4.1396
• Satish Vadlamani, Shashwat Agrawal, Swetha Singiri, Akshun Chhapola, Om Goel, & Shalu Jain. (2022). Transforming Legacy Data Systems to Modern Big Data Platforms Using Hadoop. Universal Research Reports, 9(4), 426–450. https://urr.shodhsagar.com/index.php/j/article/view/1379
• Satish Vadlamani, Vishwasrao Salunkhe, Pronoy Chopra, Er. Aman Shrivastav, Prof.(Dr) Punit Goel, Om Goel. (2022). Designing and Implementing Cloud Based Data Warehousing Solutions. IJRAR – International Journal of Research and Analytical Reviews (IJRAR), 9(3), pp.324-337, August 2022. Available at: http://www.ijrar.org/IJRAR22C3166.pdf
• Nanda Kishore Gannamneni, Raja Kumar Kolli, Chandrasekhara, Dr. Shakeb Khan, Om Goel, Prof. (Dr.) Arpit Jain. “Effective Implementation of SAP Revenue Accounting and Reporting (RAR) in Financial Operations,” IJRAR – International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P-ISSN 2349-5138, Volume 9, Issue 3, Page No pp.338-353, August 2022, Available at: http://www.ijrar.org/IJRAR22C3167.pdf Dave, Saurabh Ashwinikumar. (2022). Optimizing CICD Pipelines for Large Scale Enterprise Systems. International Journal of Computer Science and Engineering, 11(2), 267–290. doi: 10.5555/2278-9979.