About the Journal

Digital Transformation and Administration Innovation (DTAI) is an open-access, peer-reviewed journal dedicated to advancing the fields of digital transformation and administration innovation. The journal is a platform for researchers, practitioners, and policymakers to disseminate high-quality research and innovations that explore the intersection of these two transformative domains. In particular, DTAI focuses on the integration of digital technologies, administration innovation, and machine learning techniques to foster more agile, sustainable, and efficient organizations, industries, and societal systems.

The journal provides comprehensive insights into how AI and digital transformation are reshaping businesses, governments, educational systems, healthcare, and other industries globally. It seeks to contribute to both theoretical and practical knowledge through the publication of empirical studies, case reports, conceptual papers, and reviews that explore the critical drivers and barriers of digital transformation and AI integration. The journal encourages interdisciplinary research that connects technology, business, and society while highlighting the ethical, organizational, and policy implications of these changes.

Digital Transformation and Administration Innovation serves as an essential resource for researchers, technology developers, managers, and policymakers, keeping them informed on the latest advances, trends, and best practices. By covering a wide range of topics, including AI, machine learning, IoT, blockchain, cybersecurity, and data analytics, the journal ensures that the most pressing issues of modern digital evolution are addressed from multiple perspectives.

Aims and Scope

Aim:
Digital Transformation and Administration Innovation (DTAI) aims to provide a comprehensive platform for researchers, practitioners, and policymakers to explore and advance the field of digital transformation and administrative innovation. The journal seeks to publish high-quality, original research that contributes to the understanding and implementation of digital technologies, innovative administrative practices, and strategic management approaches that enhance organizational efficiency, effectiveness, and sustainability across various sectors.


The journal welcomes interdisciplinary contributions that address theoretical, empirical, and practical aspects of digital transformation and innovation in administration. The scope includes, but is not limited to, the following areas:

  • Digital Transformation Strategies: Adoption and implementation of digital technologies in public and private sector organizations, digital governance, and strategic digital planning.
  • Administrative Innovation: Process reengineering, workflow automation, and the role of technology in enhancing organizational performance and decision-making.
  • Emerging Technologies in Administration: Artificial intelligence (AI), blockchain, cloud computing, big data analytics, Internet of Things (IoT), and their impact on administrative functions.
  • E-Government and Smart Governance: Development of smart cities, digital public services, citizen engagement platforms, and policy implications of digital governance.
  • Organizational Change and Digital Leadership: Digital competencies, leadership models, and cultural shifts required for successful digital transformation.
  • Cybersecurity and Data Privacy: Challenges and solutions related to data security, compliance, and ethical concerns in digital administration.
  • Performance Measurement and Evaluation: Assessing the effectiveness of digital initiatives, key performance indicators (KPIs), and impact analysis.
  • Digital Workforce and Skills Development: Talent management, digital literacy, and training for employees in adapting to new technologies.
  • Innovation Ecosystems and Collaboration: Public-private partnerships, innovation networks, and collaboration models to drive digital progress.
  • Case Studies and Best Practices: Real-world applications of digital transformation initiatives across industries such as healthcare, education, finance, and government sectors.

Open Access Statement

Digital Transformation and Administration Innovation (DTAI) is an open-access journal committed to providing unrestricted access to its published articles. We believe that open access is fundamental to the growth and dissemination of scientific knowledge, and we aim to ensure that our research is freely available to a global audience, including researchers, students, practitioners, and policymakers.

By adopting an open-access model, we ensure that the research published in the journal reaches the widest possible audience and has a broader societal impact. All articles published in DTAI are freely accessible online, allowing readers to download, share, and use the content for academic, educational, or non-commercial purposes.

We follow the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0), which allows others to remix, adapt, and build upon the published work non-commercially, as long as proper credit is given to the original authors. For full access to all content, there are no subscription fees, and no hidden barriers to accessing research.

Copyright and License

Authors retain full copyright of their articles published in Digital Transformation and Administration Innovation (DTAI). This means that authors maintain the rights to their work and are free to reuse, adapt, or distribute their article in any medium or format, provided they adhere to the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).

Under this license, others can share, copy, redistribute, and build upon the work, but the following conditions must be met:

  1. Attribution: Proper credit must be given to the author(s), including a citation to the original article.
  2. Non-Commercial Use: The work may not be used for commercial purposes without express permission from the author(s).

This open licensing model ensures that the research remains publicly accessible while giving authors the flexibility to retain control over how their work is used.

Plagiarism (iThenticate)

At Digital Transformation and Administration Innovation (DTAI), we are committed to maintaining the highest standards of academic integrity. We use iThenticate, a leading plagiarism detection software, to check all submitted articles for originality. Submissions are screened for possible similarities with existing research and publications to ensure that all content published in the journal is free from plagiarism and properly cited.

We require authors to adhere to the highest standards of ethical research and publication. If any instances of plagiarism or duplicate publication are identified, the manuscript will be rejected, and the authors will be notified. Our commitment to ethical publishing extends to proper citation practices, ensuring that the intellectual property rights of others are respected at all times.

Article Processing Charges (APCs)

Digital Transformation and Administration Innovation (DTAI) operates on an open-access model, which means that all articles are freely available online for readers. To cover the costs associated with the editorial and production process, we charge an Article Processing Charge (APC) of 100 USD for each accepted article. This fee helps support the journal’s operation, including peer-review management, article formatting, typesetting, and digital distribution.

The APC is only invoiced once an article has been accepted for publication. Authors will be notified in advance about the APC and provided with payment instructions. Payment can be made through various secure online payment systems. Fee waivers or discounts may be available on a case-by-case basis, depending on the financial circumstances of the authors, and we encourage authors from institutions or countries with limited research funding to contact us for further information.

Peer-Review Process

Digital Transformation and Administration Innovation (DTAI) follows a rigorous double-blind peer-review process to ensure the quality and integrity of the research published in the journal. The peer-review process is designed to maintain the highest academic standards while ensuring fairness and impartiality in evaluating submitted articles.

  1. Double-Blind Review: The identities of both the authors and reviewers are concealed from each other to eliminate bias during the review process.
  2. Reviewers: Each manuscript is reviewed by two or three independent experts in the field of digital transformation and artificial intelligence. These reviewers assess the article's originality, significance, methodology, findings, and overall contribution to the field.
  3. Decision Process: After the reviews are completed, the editorial team makes a decision to accept, reject, or request revisions. Authors may be asked to revise their manuscript based on the reviewers' feedback before final acceptance.
  4. Transparency and Fairness: All reviewers are required to follow ethical guidelines to ensure the fair and unbiased evaluation of each manuscript. The editorial team oversees the peer-review process to maintain consistency and fairness.
  5. Timeliness: We strive to ensure that the peer-review process is completed in a timely manner, typically within 4–6 weeks of submission. Authors are notified promptly of the review outcome.

The peer-review process is crucial for maintaining the high standards of Digital Transformation and Administration Innovation (DTAI) and ensuring that only the most innovative and impactful research is published.

Archiving and Repository Policies

Self-Archiving: We support authors who wish to self-archive their manuscripts in institutional or subject-specific repositories. Authors are encouraged to upload their accepted manuscripts to their own repositories or to recognized open-access archives, provided they acknowledge the Digital Transformation and Administration Innovation (DTAI) journal as the original publisher.

Repositories Supported:

  • Magiran
  • SID (Scientific Information Database)
  • Noormags
  • Civilica
  • Ensani

These repositories provide a reliable platform for long-term access to published content. Articles published in DTAI will be indexed in these platforms, ensuring broad dissemination and access. Our commitment to open access means that researchers and practitioners can find our articles in multiple open-access databases, ensuring wide visibility and long-term preservation.