About the Journal

Intelligent Management and Development Strategies is an international, interdisciplinary, open-access scholarly journal dedicated to advancing research and practice in the fields of management, strategic development, innovation systems, and intelligent technologies. The journal provides an academic platform for researchers, practitioners, policymakers, and scholars to exchange ideas, present empirical research findings, and discuss theoretical innovations that contribute to the understanding and advancement of intelligent management practices and strategic development paradigms in both public and private sectors.

The journal encourages submissions that integrate modern management theories with intelligent systems, such as artificial intelligence (AI), data analytics, machine learning, automation, and digital transformation frameworks, to address the evolving challenges of sustainable growth, competitive advantage, and organizational resilience. By bringing together diverse perspectives from economics, organizational behavior, strategic management, entrepreneurship, and information systems, the journal aims to promote a holistic understanding of how intelligent technologies can shape managerial decision-making, policy formulation, and development strategies in a rapidly changing global environment.

The journal publishes original research articles, conceptual papers, systematic reviews, case studies, and analytical reports that are methodologically sound, theoretically robust, and practically relevant. It serves as a bridge between academia and industry, emphasizing the practical implications of scholarly work for leaders, executives, and policymakers seeking evidence-based solutions for intelligent development and sustainable progress.

Aims and Scopes

The overarching aim of Intelligent Management and Development Strategies is to foster the creation and dissemination of high-quality, innovative research that contributes to the intelligent evolution of management science and development policy. The journal aspires to be a leading reference source for contemporary discussions on integrating smart technologies, strategic foresight, and data-driven management into organizational and national development contexts.

Specific Aims:

  • To promote scholarly and practical understanding of intelligent and adaptive management systems in organizations and institutions.

  • To encourage the application of AI-based decision-making tools, data analytics, and automation in organizational strategy and development.

  • To provide a platform for critical debate on the role of intelligent technologies in economic and social development, sustainability, and innovation.

  • To connect scholars, policymakers, and industry experts across disciplines to develop actionable strategies for resilient and inclusive growth.

  • To support theoretical and methodological advancements in strategic intelligence, foresight management, and digital transformation.

Scope of the Journal:

The journal welcomes interdisciplinary research in areas including, but not limited to:

  • Intelligent Management Systems: Smart decision-making frameworks, AI in managerial control, and algorithmic governance.

  • Strategic Development and Innovation: Knowledge-based development, foresight strategies, and technology-driven competitiveness.

  • Digital Transformation and Data-Driven Leadership: Digital maturity models, smart governance, and data intelligence in organizations.

  • Entrepreneurship and Innovation Ecosystems: Smart startups, innovation networks, and sustainable entrepreneurial strategies.

  • Public Policy and Development Planning: Policy intelligence, public-sector innovation, and national development strategies.

  • Sustainability and Corporate Responsibility: Intelligent sustainability management, ESG (Environmental, Social, and Governance) analytics, and green innovation strategies.

  • Knowledge Management and Organizational Learning: Intelligent knowledge systems, adaptive learning models, and human-AI collaboration.

  • AI and Ethics in Management: Responsible AI, decision transparency, and human-centered strategic design.

  • Industrial and Service Innovation: Intelligent manufacturing, Industry 5.0, digital services, and smart logistics.

  • Economic and Social Development Strategies: Regional innovation systems, inclusive growth policies, and strategic planning for emerging economies.

By maintaining this broad yet coherent scope, the journal aims to serve as an intellectual nexus for innovative management science and future-oriented development research.

Open Access Statement

Intelligent Management and Development Strategies is an open access journal, ensuring that all published articles are freely and permanently available online without subscription or access barriers. Readers worldwide can immediately access, download, and share articles without restriction, in alignment with the journal’s mission to promote global knowledge dissemination and equitable access to scientific information.

The open-access model enhances the visibility, readership, and citation potential of each article, contributing to the broader impact of scholarly work. Authors are encouraged to share their articles across institutional repositories, research networks, and professional platforms, provided proper attribution is given to the journal.

All articles are published under the Creative Commons Attribution–NonCommercial 4.0 International License (CC BY-NC 4.0), allowing others to remix, adapt, and build upon the work for non-commercial purposes, with appropriate credit to the original authors.

Copyright and License

Authors who publish in Intelligent Management and Development Strategies retain full copyright to their work. Upon acceptance, authors grant the journal a non-exclusive license to publish, distribute, and archive their article in all forms of media, whether print or digital, while maintaining full ownership of their intellectual property.

All published articles are licensed under the Creative Commons Attribution–NonCommercial 4.0 International License (CC BY-NC 4.0). Under this license:

  • Readers are free to share, copy, distribute, and transmit the work for non-commercial purposes.

  • Adaptations or derivative works may be created, provided proper credit is given to the original authors and the source.

  • The use of published materials for commercial purposes requires explicit permission from the authors.

This licensing framework promotes academic freedom, transparency, and ethical use of published knowledge.

Plagiarism Policy

The journal maintains a strict zero-tolerance policy toward plagiarism in all its forms, including self-plagiarism, duplicate publication, data fabrication, and inappropriate paraphrasing. All submitted manuscripts are screened using iThenticate plagiarism detection software prior to the peer-review process.

If plagiarism is detected at any stage — before or after publication — the editorial board reserves the right to reject the submission, request corrections, or retract the published article in accordance with the Committee on Publication Ethics (COPE) guidelines.

Authors are responsible for ensuring that:

  • The submitted work is original and not under consideration elsewhere.

  • Proper citations and references are provided for all previously published materials.

  • Permissions are obtained for copyrighted content used within the manuscript.

Article Processing Charges (APCs)

To support the costs of open-access publishing, peer review, editorial management, digital archiving, and website maintenance, the journal charges an Article Processing Charge (APC) of 3,000,000 Iranian Tomans per accepted article.

There are no submission fees, no fees for rejected articles, and no additional costs for color figures or supplementary materials.
Authors from low-income institutions or developing regions may request a partial waiver or discount, subject to editorial approval.

Payment is requested only after final acceptance of the article and prior to online publication.

Peer-Review Process

Intelligent Management and Development Strategies follows a double-blind anonymous peer-review process, ensuring the highest standards of academic integrity, fairness, and objectivity. Both authors and reviewers remain anonymous throughout the review process to prevent potential conflicts of interest.

Steps in the Peer-Review Process:

  1. Initial Editorial Screening: The submitted manuscript is reviewed by the editorial office for compliance with journal scope, formatting requirements, and ethical standards.

  2. Plagiarism Check: All manuscripts undergo a plagiarism scan using iThenticate.

  3. Assignment to Reviewers: Manuscripts that pass the initial check are sent to two or three qualified independent reviewers with expertise relevant to the manuscript’s subject matter.

  4. Review Evaluation: Reviewers assess the manuscript based on originality, methodological rigor, theoretical contribution, clarity of presentation, and relevance to the journal’s aims.

  5. Editorial Decision: Based on reviewers’ feedback, the editor-in-chief makes one of the following decisions: accept, minor revision, major revision, or reject.

  6. Revision Stage: Authors are expected to address reviewer comments comprehensively and resubmit the revised manuscript within the specified time frame.

  7. Final Decision and Proofing: Once accepted, the article undergoes final copyediting and proofreading before publication.

The typical review period ranges from four to six weeks, depending on the complexity of the manuscript and reviewer availability. The journal strictly adheres to ethical review standards following the COPE and Elsevier guidelines on responsible peer review.

Archiving and Repository Policies

Intelligent Management and Development Strategies is committed to the long-term preservation and accessibility of its published content. The journal ensures that all published articles are permanently archived and retrievable through multiple digital repositories and indexing systems.

Self-Archiving Policy:

Authors are permitted and encouraged to:

  • Deposit the preprint (before peer review), accepted manuscript, and published version (PDF) in institutional or subject repositories.

  • Share the published version on personal or professional websites, research networks (e.g., ResearchGate, Academia.edu), and institutional repositories immediately after publication.

  • Retain the right to use their articles in teaching materials, academic presentations, or future compilations, provided proper acknowledgment of the original source is maintained.

Journal Archiving:

All published materials are archived on the journal’s official website and in secure digital repositories to ensure continued availability, even in the event of system failure or discontinuation. The journal cooperates with national library archiving systems and academic databases to guarantee permanent digital preservation.