https://ojs.piscomed.com/index.php/HRMS <table> <tbody> <tr style="vertical-align: top;"> <td style="text-align: justify;"> <p><strong><em>Human Resources Management and Services</em></strong> (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.</p> </td> <td><img src="/public/site/images/admin/HRMS_cover_12.png"><br> <div id="issn_section"><br><span class="issn_num"><span class="issn_num">ISSN: 2661-4308 (O</span></span><span class="issn_num">)</span><br><br><img src="/public/site/Open_Access.png" alt=""></div> </td> </tr> </tbody> </table> PiscoMed Publishing Pte Ltd en-US Human Resources Management and Services 2661-4308 https://ojs.piscomed.com/index.php/HRMS/article/view/3588 <p>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.</p> Antoine Trad Copyright (c) 2025 Author(s) https://creativecommons.org/licenses/by/4.0/ 2025-04-15 2025-04-15 7 2 3588 3588 10.18282/hrms3588