Digital Transformation and Administration Innovation

Aims & Scope

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. 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.

Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

Subject Classification