Description

Human Resources Management and Services (HRMS) is an international open access journal on theoretical and practical research in the field of human resource management. HRMS adopts a double-blind peer review model and publishes high-quality articles. It is committed to disseminating unique and insightful insights and promoting the development, innovation and understanding of human resource management. Potential readers of HRMS include scholars, practice managers, and policy makers in the field.

HRMS welcomes articles based on original research, reviews, case reports, perspectives, etc. HRMS also publishes editorials reflecting the official opinions of the journal's editorial office. Submissions to HRMS can be interdisciplinary around the topic of human resource management. Examples of some related topics are as follows:

  • Human resource planning;
  • Human resource services;
  • Organizational management;
  • Human capital;
  • Training and development;
  • Sustainable human resource practices;
  • Employee efficiency and performance management;
  • Labor relations;
  • Employee well-being;
  • Policy formulation;
  • Job satisfaction;
  • Psychological issues;
  • Social issues;
  • Fairness in employment.

Latest Articles

  • Open Access

    Article

    Article ID: 3588

    Enterprise transformation project—AI-based manager’s profile’s selection

    by Antoine Trad

    Human Resources Management and Services, Vol.7, No.2, 2025; 35 Views

    The artificial intelligence (AI)-based architect’s profile’s selection (simply iSelection) uses a polymathic mathematical model and AI-subdomains’ integration for enabling automated and optimized human resources (HR) processes and activities. HR-related processes and activities in the selection, support, problem-solving, and just-in-time evaluation of a transformation manager’s or key team members’ polymathic profile (TPProfile). Where a TPProfile can be a classical business manager, transformation manager, project manager, or an enterprise architect. iSelection-related selection processes use many types of artifacts, like critical success factors (CSF), AI-subdomain’ integration environments, and an enterprise-wide decision-making system (DMS). iSelection focuses on TPProfiles for various kinds of transformation projects, like the case of the transformation of enterprises’ HRs (EHR) processes, activities, and related fields, like enterprise resources planning (ERP) environments, financial systems, human factors (HF) evolution, and AI-subdomains. The iSelection tries to offer a well-defined (or specific) TPProfile, which includes HF’s original-authentic capabilities, education, affinities, and possible polymathical characteristics. Such a profile can also be influenced by educational or training curriculum (ETC), which also takes into account transformation projects’ acquired experiences. Knowing that selected TPProfiles are supported by an internal (or external) transformation framework (TF), which can support standard transformation activities, and solving various types of iSelection’s problems. Enterprise transformation projects (simply projects) face extremely high failure rates (XHFR) of about 95%, which makes EHR selection processes very complex.

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Announcements

2025 Volume 7 Issue 1 has been released online!

2025-04-15

We are delighted to announce that Vol.7, No.1 has been released, focusing on cutting-edge research in Human Resource Management and Organizational Behavior. This issue collects 10 articles authored by 10 countries, and aims to provide a platform for scholars and practitioners to share their latest findings and insights on a wide range of topics related to human resources management and organizational dynamics.

More details, please discovery here.

Read more about 2025 Volume 7 Issue 1 has been released online!

Welcome 2025!

2025-01-09

As we step into the new year of 2025, it is with great pleasure that we announce the commencement of new terms for the Editorial Board members of Human Resource Management & Services. To all the esteemed experts, scholars, reviewers, and authors in our field, we extend our warmest New Year greetings. We sincerely hope to continue receiving your unwavering encouragement and support.

Read more about Welcome 2025!