Aims and Scope
Journal of Digitovation and Information Systems (JDIIS) seeks to advance critical understanding of digital transformation and information driven systems through original and conceptually sound research. The journal publishes contributions that explore the influence of emerging digital technologies on organizational decision making, social interaction, industrial systems, and behavioral patterns. The journal welcomes analytical and empirical work across management, computing, engineering, digital education, digital health, and the social sciences, including research on artificial intelligence, business and systems informatics, engineering management, Industry 5.0, intelligent systems, digital governance, and technology adoption. It is interested in studies that examine the broader implications of digital change for management, economic development, governance, institutional practice, and society.

Submissions are expected to demonstrate theoretical clarity and methodological precision while contributing to research on information systems, digital innovation, computer-related systems, engineering environments, health-related technologies, learning systems, and behavioral dimensions of technology use. The journal encourages perspectives that extend current knowledge and support informed academic and professional dialogue.

Manuscript Genres
The Journal of Digitovation and Information Systems (JDIIS) welcomes a range of manuscript types that contribute to the advancement of scholarly and practical knowledge in digital innovation and information systems. Each genre reflects the journal’s commitment to academic integrity, methodological quality, and meaningful contribution to the study of technology and its impact on organisations and society.

Literature Reviews
Synthesise existing scholarship on digital innovation and information systems, identify research gaps, and propose directions for further investigation.

Theory Development Papers
Advance conceptual understanding through analytical reflection, model formulation, or theoretical contribution relevant to digital transformation and management.

Empirical Research
Present evidence-based findings using qualitative, quantitative, mixed-method, or design science approaches that address issues in digital innovation and information systems.

Ethnographies and Narratives
Provide detailed accounts of human experiences with digital transformation, highlighting cultural, organisational, or behavioural aspects.

Reflective Essays
Offer perspectives on research methodologies, scholarly practices, or philosophical aspects of digital innovation and technology adoption.

Practitioner Studies
Describe applied interventions and professional practices that inform innovation management, digital governance, or policy design.

Conceptual and Position Papers
Discuss emerging ideas, frameworks, or critical positions that extend academic debate and clarify evolving issues in digital innovation.

The journal values originality and academic rigour across all genres. Manuscripts are expected to demonstrate relevance, clarity, and a clear contribution to the understanding of digital transformation in contemporary research and practice

Focused Areas
The Journal of Digitovation and Information System (JDIIS) covers a broad range of issues related to digital transformation across management, computing, engineering, education, digital health, and the social sciences. The journal welcomes conceptually grounded and empirically informed work that examines technological change in organizational, institutional, industrial, and societal contexts. Particular attention is given to digital behavior, human-centered technology adoption, computer and business informatics, health informatics, intelligent systems, engineering management, AI governance, and learning analytics. JDIIS invites manuscripts specifically but not limited to the following areas.

Digital Transformation and Information Systems
• Design, development, and governance of digital information systems
• Organizational strategies for digital integration and innovation
• Enterprise systems, data driven management, and decision support technologies
• Digital business models, entrepreneurship, and technology enabled markets
• Information management, digital operations, platform systems, and digital service ecosystems

Artificial Intelligence, Data Science, and Emerging Technologies
• Artificial intelligence (AI), machine learning, and predictive analytics
• Blockchain, Internet of Things, digital twins, and intelligent platforms
• Big data analytics, data governance, privacy management, and cybersecurity
• AI governance, digital ethics, and responsible technology use
• Quantum computing, edge computing, cloud computing, and high-performance computing

Computer, Business, and Systems Informatics
• Business informatics, organization informatics, social informatics, and socio technical systems
• Information systems engineering, adaptive systems, and virtual systems engineering
• Data intensive computing, semantic data analysis, and knowledge analytics
• Networked systems, distributed systems, and complex software systems
• Computational management, business analytics, and social network analytics

Engineering Management, Industry 5.0, and Intelligent Engineering
• Engineering management, technology management, and research and development management
• Industry 5.0, smart manufacturing, smart industrial systems, and industrial innovation
• Intelligent systems engineering, robotics, automation, and autonomous systems
• Additive manufacturing, 3D printing, digital production, and engineering analytics
• Human centred engineering, socio technical integration, and innovation behavior in engineering environments

Governance, Policy, and Digital Economy
• Policy and regulatory frameworks for digital economies and emerging technologies
• Digital transformation in governance, e-government services, and public management
• Smart cities, digital infrastructure, and technology enabled public services
• Economic, institutional, and societal implications of digital innovation
• Ethical, legal, and policy issues in technology driven development

Digital Education and Learning Technologies
• Digital learning platforms, e-learning systems, and instructional design
• Learning analytics, educational data use, and data informed educational improvement
• AI in education, adaptive learning systems, and intelligent tutoring
• Digital pedagogy, academic technologies, and technology use in higher education
• Professional learning, training technologies, and digital skills development

Digital Health, Health Informatics, and Care Technologies
• Digital health technologies, health information systems, and connected care systems
• Health informatics, medical data systems, and clinical information management
• Telemedicine, remote care, mobile health, and patient centred digital services
• AI in healthcare, clinical decision support, and predictive health systems
• User acceptance, digital behavior, ethics, and governance in health technology settings

Human Interaction, Behavior, and Digital Society
• Human computer interaction, user experience, and digital accessibility
• Social media behavior, online communication, and digital engagement
• Behavioral perspectives on technology adoption, digital learning, and user acceptance
• Augmented reality, virtual reality, mixed reality, and extended reality in digital environments
• Cultural, ethical, and social dimensions of digital transformation in organizational and public settings