Intelligent Management of Human Capital

Intelligent Management of Human Capital

Statistical Information of the Journal

Number of Volumes 2
Number of Issues 6
Number of Articles 36
Number of Contributors 93
Article View 16,225
PDF Download 9,037
View Per Article 450.69
Number of Submissions 87
Acceptance Rate

41

Time to Accept (Days) 69
 
 

The Quarterly Journal of Intelligent Management of Human Capital is a peer-reviewedopen access scientific journal that adopts an interdisciplinary and forward-looking approach. It seeks to publish original research results on human capital issues, including the development of ideas, theories, models, future roadmaps, strategic plans, programs, and intelligent systems based on big data for effective decision-making in human capital management at national and international levels. The journal focuses on scientific articles in key areas such as monitoring, recruitment and selection, performance management, development and excellence, retention, and intelligent sustainability of human capital. It emphasizes data-driven approaches and the integration of convergent technologies, particularly information technology (including artificial intelligence, machine learning, network analysis, interactive data analytics, cloud computing, and mixed reality such as virtual and augmented reality), cognitive science, and biotechnological sciences. As an open access publication, all articles are freely available under a Creative Commons license to promote global knowledge sharing. The journal was established in the fall of 2023, in accordance with Circular No. 11-25685 dated 09/10/2023 from the Ministry of Science, Research and Technology, and is published quarterly with a rigorous peer-review process to ensure high-quality, original research.

 

***This journal is published in collaboration with the Iranian Association of Human Resource Management, based on a formal memorandum of understanding (MoU).***

 

This journal adheres to the principles of publication ethics and complies with the regulations of the Committee on Publication Ethics (COPE). 

 

.This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License

Intelligent Management of Human Capital (IMHC) operates under the Creative Commons Licence CC-BY-NC-ND. This allows for the reproduction of articles, free of charge, for non-commercial use only and with the appropriate citation information. All authors publishing with Intelligent Management of Human Capital (IMHC)  accept these as the terms of publication.

 

 

***Authors retain the copyright and full publishing rights***

 

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Quarterly journal of intelligent management of human capital

  • Country of publication: Iran
  • Publisher: Human Capital Research Institute
  • Impact factor in ISC: Under evaluation
  • Rank in the Ministry of Science: Under evaluation
  • Electronic ISSN: 3060-6950
  • Accessible from: www.imhr.ir
  • Print status: Electronic
  • Publishing Times: Quarterly
  • Journal Language: Persion (Extended abstract in English)
  • Area of Expertise: Human capital management through convergent technologies
  • Journal type: Scientific-research
  • All rights reserved
  • Types of articles that can be published: Research, case study, methodology, applied and review articles
  • Free and open access to articles: Yes
  • Indexed in: Google Scholar, ISC, Magiran, SID, Noormags, Ricest, Ensani, Virascience
  • Type of review: Double-blind peer review
  • review time: At least 6 weeks
  • Publication email: imhc.institute1402@gmail.com
  • Support email: imhc.institute1402@casu.ac.ir

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 This journal uses Grammarly’s plagiarism checker for English language papers.

 
 
 

Keywords Cloud

  • Artificial intelligence
  • Artificial Intelligence (AI)
  • human resources
  • Grounded theory
  • Natural Language Processing
  • \"Artificial intelligence
  • Human Resource Management
  • Competency
  • In-service training
  • Human capital
  • Organizational Culture
  • system dynamics
  • Data mining
  • mental health
  • content analysis
  • Teachers
  • Wellbeing
  • Transformational Leadership
  • Job Stress
  • Productivity
  • Health
  • exploitation
  • Service Quality
  • organizational commitment
  • emotional exhaustion
  • Consumer Behavior
  • Employees
  • Human Resources Management
  • Machine Learning
  • Consequences
  • Cognitive emotion regulation
  • employee productivity
  • planning
  • Meta-Synthesis
  • Thematic Analysis
  • psychological capital
  • Workplace Spirituality
  • recommender system
  • Municipalities
  • staff
  • Intelligent
  • Interpretive Structural Modeling (ISM)
  • Reconstruction
  • employee
  • social adjustment
  • coping behavior
  • Mentoring
  • Development
  • crisis management
  • Ethical Leadership
  • human capital management
  • Sepah Bank
  • Strategic Alignment
  • job involvement
  • Scenario Planning
  • Quantitative Research
  • Emotional Labor
  • Process Optimization
  • Marketing Strategies
  • Organizational Resilience
  • Psychological analysis
  • Student admission
  • Cultural issues
  • digital transformation
  • Managerial Competence
  • Knowledge-based
  • efficiency improvement
  • military organizations
  • NAJA
  • mixed reality
  • Human resources development
  • Employee resilience
  • Ethical challenges
  • Human resource risks
  • Seventh Development Plan
  • smart governance
  • Quantum leadership
  • Digital leadership
  • Mentor
  • relief organizations
  • Thematic Analysis Method
  • Organizational Sustainability
  • Cognitive readiness
  • Digital ethics
  • Blue Whale Algorithm
  • Refrigeration Simulation
  • Primary education teachers
  • Strategic location
  • army headquarters
  • Main track mentoring
  • MAPNA Company
  • \"Strategy
  • Sustainable Management \"
  • HSE\"
  • Employee safety
  • Information Maturity and Human Resources Maturity
  • Organizational Maturity\"
  • \"Selection and Recruitment
  • Elite graduates
  • Universities of the country
  • Army of the Islamic Republic of Iran\"
  • Algorithmic Justice
  • Training Centers in the Islamic Republic of Iran Army Ground Forces
  • interpretive structure
  • Multimodal Learning
  • Smart Governor
  • Human Intelligence (HI)
  • Institutional Intelligence (II)
  • Behavior prediction
  • Structural equation analysis
  • Agility of teachers
  • Core Banking System
  • Smart Recruitment
  • HEXACO Model
  • Recruitment and Selection
  • Zachman Architecture Framework
  • Motivation
  • Nezaja employees
  • Job empowerment
  • and cognitive distortions
  • Resilient Leadership
  • Follower Characteristics
  • Fuzzy Mapping Analysis
  • Leader\'s conscientiousness
  • decision to leave the service
  • moral climate at the individual level
  • Governmental (Military) Organizations
  • Sports Talent Search؛ Technology؛ Gagné
  • Education
  • ؛ ؛ Model؛ Iraq
  • Tehran
  • Learning
  • intellectual capital
  • managers
  • Faculty Members
  • Artificial Neural Network
  • municipality
  • public trust