Register Login

Journal of Computational Social Dynamics

Search
PDF

Published

2021-08-21

Issue

Vol. 6 No. 3 (2021): Journal of Computational Social Dynamics-3rd-Q

Section

Articles

How to Cite

Serkan Altun, & Ezgi Bayraktar. (2021). Microservices-Based AI Applications in HR: A Framework for Scalable and Adaptive Talent Management. Journal of Computational Social Dynamics, 6(3), 71–89. Retrieved from https://vectoral.org/index.php/JCSD/article/view/149

Microservices-Based AI Applications in HR: A Framework for Scalable and Adaptive Talent Management

Serkan Altun

Department of Computer Science, Ankara University

Ezgi Bayraktar

Department of Computer Science, Sabancı University

Abstract

This research article presents a comprehensive framework for implementing microservices-based artificial intelligence (AI) applications in human resources (HR), with a focus on scalable and adaptive talent management. The integration of AI and microservices architecture in HR processes has the potential to revolutionize talent management by providing more agile, efficient, and personalized solutions. This study explores the synergies between microservices architecture and AI technologies in the context of HR, proposes a novel framework for their implementation, and discusses the implications for talent management practices. The research draws upon existing literature, case studies, and industry best practices to develop a holistic approach to AI-driven HR microservices. The proposed framework addresses key challenges in talent acquisition, development, retention, and overall HR strategy, while emphasizing scalability, adaptability, and integration with existing HR systems.

Author Biography

Ezgi Bayraktar, Department of Computer Science, Sabancı University

 

 

Current Issue

Information

Submission Guidelines for the Journal of Computational Social Dynamics General Guidelines:

  1. Article Types: We accept a variety of article types including Original Research Articles, Review Papers, Short Reports, and Opinion Pieces.

  2. Language: Manuscripts must be written in English, and should be clear, concise, and free of jargon.

  3. Length: There is no strict word limit, but Original Research Articles should generally be between 4,000 and 10,000 words, including references.

  4. Formatting: Manuscripts should be submitted as a single Word or LaTeX document, formatted in double-spaced 12-point font.

  5. Abstract: An abstract of 250-300 words is required for all submissions, summarizing the key objectives, methods, findings, and implications of the research.

Manuscript Structure:

  • Title Page: Must include the title, author names, affiliations, and contact information for the corresponding author.

  • Introduction: Provide background, state the problem, and outline objectives.

  • Methods: Detail the methods and tools used in your research.

  • Results: Present the findings of your study.

  • Discussion: Interpret results, discuss their impact, and suggest future research directions.

  • Conclusion: Summarize the main points of the paper.

  • References: Citations should be formatted according to the APA/IEEE styles.

Ethical Guidelines:

Authors must ensure that their research adheres to ethical standards and that informed consent has been obtained for any human or animal subjects involved.

Plagiarism:

The Journal of Computational Social Dynamics uses plagiarism detection software. Any manuscript found to include plagiarized content will be rejected.

Peer Review Process:

All submissions undergo a double-blind peer review process. Authors can expect initial feedback within six to eight weeks.

Submission Process:
  1. Prepare your manuscript according to the guidelines.
  2. Submit your manuscript through our online portal at.
  3. After submission, you will receive a confirmation email with a manuscript ID for tracking purposes.
Revisions:

If revisions are requested, authors must resubmit the revised manuscript within the specified timeframe.

Publication Fees:

The journal has a nominal publication fee, waived for authors who lack funding. Details are available on our website.

For any questions or concerns, please contact the editorial office at editorial@vectoral.org. Thank you for considering the Journal of Computational Social Dynamics as a venue for your research.

Published by Vectoral Publishing, the Journal of Computational Social Dynamics maintains high standards in peer-review and scientific inquiry. Authors who wish to submit manuscripts should adhere to the guidelines detailed on our website, www.vectoral.org/jcsd. Vectoral Publishing does not bear any responsibility for the accuracy of information or for any outcomes related to the use of the research published. For editorial correspondence and submissions, please reach out to editorial@vectoral.org.