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Quarterly Journal of Emerging Technologies and Innovations

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Published

2024-05-10

Issue

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

Section

Articles

How to Cite

Ahmed Mustafa, & Nadia Hameed. (2024). Integrating AI and Microservices Architecture for Agile HR Operations: A Comprehensive Analysis. Quarterly Journal of Emerging Technologies and Innovations, 9(2), 155–180. Retrieved from https://vectoral.org/index.php/QJETI/article/view/155

Integrating AI and Microservices Architecture for Agile HR Operations: A Comprehensive Analysis

Ahmed Mustafa

Computer Science and Engineering

Nadia Hameed

Computer Vision, Bahauddin Zakariya University, Multan, Pakistan

Keywords: Artificial Intelligence, Microservices Architecture, Human Resources, Agile Methodology, Digital Transformation

Abstract

This comprehensive research article explores the integration of Artificial Intelligence (AI) and microservices architecture within the context of Human Resources (HR) operations, with a focus on achieving agility and efficiency. The study delves into the current landscape of HR technology, the challenges faced by traditional HR systems, and the potential solutions offered by the convergence of AI and microservices. Through an extensive literature review, case studies, and analysis of industry trends, this research aims to provide a holistic understanding of how these cutting-edge technologies can revolutionize HR practices. The article examines the technical aspects of implementing AI-driven microservices in HR, the benefits and challenges associated with this integration, and the impact on various HR functions such as recruitment, employee engagement, performance management, and strategic decision-making. Furthermore, it discusses the implications for organizational culture, data privacy, and ethical considerations in adopting these technologies. By synthesizing insights from both academic research and industry applications, this article offers valuable recommendations for HR professionals, technologists, and business leaders looking to leverage AI and microservices to create more agile and responsive HR operations.

Author Biography

Nadia Hameed, Computer Vision, Bahauddin Zakariya University, Multan, Pakistan

 

 

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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.

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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.

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

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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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