Influence of Digitization on Human Resources (HR) Services and Processes

Authors

  • Venkata Koteswara Rao Ballamudi Sr. Software Engineer, Ciber Global LLC, USA
  • Harshith Desamsetti Senior Software Engineer, Charter Communications, Stamford, Connecticut, USA
  • Mounika Mandapuram Senior Software Engineer, Technopathz Inc, Austin, TX, USA

DOI:

https://doi.org/10.18034/ra.v10i3.653

Keywords:

Digitalization, Human Resources, Digital HR, Applicant Tracking Systems (ATS)

Abstract

The digitalization of human resources (HR) is the primary development organizations are experiencing, and it has gained exponential adoption over the years. HR must implement new methods and procedures to keep up with the rapidly increasing levels of workforce modernization. The creation of modern operational HR processes, which can improve communication, cooperation, and access to data analytics, is one benefit of a systematic approach. Implementing digital solutions for HR operations is extremely important for a company since these solutions offer numerous advantages, including reducing duplicated or repetitive tasks, reducing the risk of making errors, and creating space for HR to concentrate on essential tasks. There needs to be more understanding that adopting digitalization is challenging, yet the services and procedures related to human resources might be a low barrier to entry. The study investigates how companies move toward a comprehensive and uncomplicated digital solution, and it enables companies to get started with employee analytical data, access to cashless treatment, and seamless invoice consolidation via the portal.

Downloads

Download data is not yet available.

References

Amin, R., & Mandapuram, M. (2021). CMS - Intelligent Machine Translation with Adaptation and AI. ABC Journal of Advanced Research, 10(2), 199-206. https://doi.org/10.18034/abcjar.v10i2.693

Bodepudi, A., Reddy, M., Gutlapalli, S. S., & Mandapuram, M. (2019). Voice Recognition Systems in the Cloud Networks: Has It Reached Its Full Potential?. Asian Journal of Applied Science and Engi-neering, 8(1), 51–60. https://doi.org/10.18034/ajase.v8i1.12

Bodepudi, A., Reddy, M., Gutlapalli, S. S., & Mandapuram, M. (2021). Algorithm Policy for the Authenti-cation of Indirect Fingerprints Used in Cloud Computing. American Journal of Trade and Poli-cy, 8(3), 231–238. https://doi.org/10.18034/ajtp.v8i3.651

Desamsetti, H. (2016). Issues with the Cloud Computing Technology. International Research Journal of Engineering and Technology (IRJET), 3(5), 321-323.

Desamsetti, H., & Mandapuram, M. (2017). A Review of Meta-Model Designed for the Model-Based Testing Technique. Engineering International, 5(2), 107–110. https://doi.org/10.18034/ei.v5i2.661

Gutlapalli, S. S. (2016a). An Examination of Nanotechnology’s Role as an Integral Part of Electron-ics. ABC Research Alert, 4(3), 21–27. https://doi.org/10.18034/ra.v4i3.651

Gutlapalli, S. S. (2016b). Commercial Applications of Blockchain and Distributed Ledger Technolo-gy. Engineering International, 4(2), 89–94. https://doi.org/10.18034/ei.v4i2.653

Gutlapalli, S. S. (2017a). Analysis of Multimodal Data Using Deep Learning and Machine Learning. Asian Journal of Humanity, Art and Literature, 4(2), 171–176. https://doi.org/10.18034/ajhal.v4i2.658

Gutlapalli, S. S. (2017b). The Role of Deep Learning in the Fourth Industrial Revolution: A Digital Trans-formation Approach. Asian Accounting and Auditing Advancement, 8(1), 52–56. Retrieved from https://4ajournal.com/article/view/77

Gutlapalli, S. S. (2017c). An Early Cautionary Scan of the Security Risks of the Internet of Things. Asian Journal of Applied Science and Engineering, 6, 163–168. Retrieved from https://ajase.net/article/view/14

Gutlapalli, S. S., Mandapuram, M., Reddy, M., & Bodepudi, A. (2019). Evaluation of Hospital Information Systems (HIS) in terms of their Suitability for Tasks. Malaysian Journal of Medical and Biological Research, 6(2), 143–150. https://doi.org/10.18034/mjmbr.v6i2.661

Mandapuram, M. (2016). Applications of Blockchain and Distributed Ledger Technology (DLT) in Com-mercial Settings. Asian Accounting and Auditing Advancement, 7(1), 50–57. Retrieved from https://4ajournal.com/article/view/76

Mandapuram, M. (2017a). Application of Artificial Intelligence in Contemporary Business: An Analysis for Content Management System Optimization. Asian Business Review, 7(3), 117–122. https://doi.org/10.18034/abr.v7i3.650

Mandapuram, M. (2017b). Security Risk Analysis of the Internet of Things: An Early Cautionary Scan. ABC Research Alert, 5(3), 49–55. https://doi.org/10.18034/ra.v5i3.650

Mandapuram, M., & Hosen, M. F. (2018). The Object-Oriented Database Management System versus the Relational Database Management System: A Comparison. Global Disclosure of Economics and Business, 7(2), 89–96. https://doi.org/10.18034/gdeb.v7i2.657

Mandapuram, M., Gutlapalli, S. S., Bodepudi, A., & Reddy, M. (2018). Investigating the Prospects of Gen-erative Artificial Intelligence. Asian Journal of Humanity, Art and Literature, 5(2), 167–174. https://doi.org/10.18034/ajhal.v5i2.659

Mandapuram, M., Gutlapalli, S. S., Reddy, M., Bodepudi, A. (2020). Application of Artificial Intelligence (AI) Technologies to Accelerate Market Segmentation. Global Disclosure of Economics and Busi-ness 9(2), 141–150. https://doi.org/10.18034/gdeb.v9i2.662

Reddy, M., Bodepudi, A., Mandapuram, M., & Gutlapalli, S. S. (2020). Face Detection and Recognition Techniques through the Cloud Network: An Exploratory Study. ABC Journal of Advanced Re-search, 9(2), 103–114. https://doi.org/10.18034/abcjar.v9i2.660

Downloads

Published

15-10-2022

How to Cite

Ballamudi, V. K. R., Desamsetti, H., & Mandapuram, M. (2022). Influence of Digitization on Human Resources (HR) Services and Processes. ABC Research Alert, 10(3), 32-36. https://doi.org/10.18034/ra.v10i3.653

Similar Articles

11-20 of 44

You may also start an advanced similarity search for this article.