Digital Transformation in Information Systems
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".
Deadline for manuscript submissions: 20 October 2025 | Viewed by 84
Special Issue Editors
Interests: e-business; maturity models; website evaluation; e-tourism; information systems; digital marketing
Interests: digital transformation; organizational knowledge; management information systems; shared services
Interests: artificial intelligence; machine learning; evolutionary computing; genetic algorithms; time series forecasting; predictive maintenance; computer vision; automatic music transcription
Interests: digital transformation; agility; pbl; innovation accelerators; technology; business processes and learning; information systems; digital transformation in organizations; ICT in higher education
Interests: specialized in information systems and technologies; ICT business; ICT tourism; ICT education
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Digital transformation revolutionizes information systems, driving innovation, efficiency, and new business models across industries. This Special Issue seeks to advance the understanding of digitalization's technologies, strategies, and impacts, featuring original research, case studies, and conceptual frameworks that explore digital transformation's opportunities and challenges. Contributions addressing AI, cloud computing, blockchain, digital strategy, and ethical considerations are highly encouraged.
Digital transformation in information systems (IS) continuously evolves, driven by technological advancements, strategic implementations, and societal impacts. This Special Issue highlights how digitalization reshapes organizations, industries, and public institutions, fostering new value-creation models, enhancing decision-making, and improving operational efficiency.
This Special Issue welcomes research contributions that analyze, design, implement, and evaluate digital transformation initiatives in various sectors, including business, government, healthcare, education, and tourism. We invite theoretical, empirical, and case-study-based submissions covering emerging technologies, frameworks, methodologies, and best practices in IS.
Prof. Dr. Elisabete Paulo Morais
Prof. Dr. Agostinho de Sousa Pinto
Prof. Dr. Carlos Fernando de Almeida Grilo
Dr. Maria João da Silva Costa Ferreira
Dr. Juan C. Infante-Moro
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- digital transformation
- information systems
- artificial intelligence in IS
- big data analytics
- business process reengineering
- digital innovation
- cybersecurity and digital privacy
- smart cities and e-government
- digital business models
- digital inclusion and ethics
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