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Quarterly Journal of Emerging Technologies and Innovations

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Published

2024-05-07

Issue

Vol. 9 No. 2 (2024): QJETI-APRIL-JULY

Section

Articles

How to Cite

Isabella Ortiz, & Sebastián González. (2024). Leveraging Artificial Intelligence and Microservices for Agile and Adaptive Human Resource Operations. Quarterly Journal of Emerging Technologies and Innovations, 9(2), 146–154. Retrieved from https://vectoral.org/index.php/QJETI/article/view/153

Leveraging Artificial Intelligence and Microservices for Agile and Adaptive Human Resource Operations

Isabella Ortiz

Department of Computer Science, Universidad Minuto de Dios del Caribe

Sebastián González

Department of Computer Science, Universidad de los Montes del Oriente

Keywords: Artificial Intelligence, Microservices, Agile HR, Human Resource Operations, Workforce Analytics

Abstract

In today's dynamic business environment, human resource (HR) operations have become increasingly complex, requiring organizations to adopt more adaptive and agile frameworks. The integration of Artificial Intelligence (AI) and microservices architecture has emerged as a critical solution to these challenges. This paper explores the synergy between AI and microservices in revolutionizing HR operations, focusing on how they enable organizations to enhance agility, scalability, and adaptability. By leveraging AI-driven analytics and modular microservices, HR functions can be streamlined, allowing for real-time decision-making, enhanced employee engagement, and improved operational efficiency. The study provides a comprehensive analysis of the implementation strategies, benefits, and challenges associated with integrating AI and microservices in HR operations, supported by three tables that illustrate the technological landscape, use cases, and benefits realization. Five key areas of focus include recruitment, employee engagement, performance management, learning and development, and workforce analytics. The paper concludes with insights into the future of HR operations, emphasizing the necessity of continuous innovation and alignment with emerging technologies.

Author Biographies

Isabella Ortiz, Department of Computer Science, Universidad Minuto de Dios del Caribe

 

 

 

Sebastián González, Department of Computer Science, Universidad de los Montes del Oriente

 

 

Information

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Submission Guidelines for the Journal of Quarterly Journal of Emerging Technologies and Innovations (QJETI) 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 IEEE/APA style.

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.
  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.

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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 QJETI as a venue for your research.

Published by Vectoral Publishing, the Quarterly Journal of Emerging Technologies and Innovations 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/QJETI. 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.

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