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Advances in Digital Information System

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: 20 February 2026 | Viewed by 1847

Special Issue Editors


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Guest Editor
CEOS.PP, ISCAP, Polytechnic of Porto, R. Jaime Lopes Amorim, 4465-004 Porto, Portugal
Interests: information systems; e-learning; technologies; generative AI in higher education; digital transformation

E-Mail Website
Guest Editor
CEOS.PP, ISCAP, Polytechnic of Porto, R. Jaime Lopes Amorim, 4465-004 Porto, Portugal
Interests: information systems; e-Health; education

E-Mail Website
Guest Editor
CEOS.PP, ISCAP, Polytechnic of Porto, R. Jaime Lopes Amorim, 4465-004 Porto, Portugal
Interests: educational technologies; information systems management and innovation

Special Issue Information

Dear Colleagues,

In today's rapidly evolving digital landscape, information systems have become integral to various sectors, including industry, commerce, and education. The continuous advancement in digital information systems not only enhances operational efficiency but also drives innovation and transformation across different domains. With the advent of generative AI, these changes have accelerated, offering new possibilities and posing unique challenges. This Special Issue seeks to explore the latest developments and applications of digital information systems, addressing the growing need to understand and leverage these technologies for improved outcomes.

The primary aim of this Special Issue is to present a comprehensive overview of the recent advancements in digital information systems and their practical applications. By bringing together a diverse range of research articles, systematic literature reviews, empirical studies, and case studies, this issue aims to provide valuable insights into the current state and future directions of digital information systems.

This Special Issue invites contributions on a variety of sub-topics, including but not limited to:

  1. Technological Advancements in Digital Information Systems
  2. Applications of Digital Information Systems in Industry
  3. Commercial Applications of Digital Information Systems
  4. Educational Applications of Digital Information Systems

This Special Issue will cover not only Systematic Literature Reviews of existing research on digital information systems, allowing us to identify the research gaps and future research directions but also Empirical Research and Case Studies covering its use.

Prof. Dr. Anabela Mesquita
Dr. João Vidal Carvalho
Dr. António Abreu
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 information systems
  • generative AI
  • technological advancements
  • industry applications
  • commerce innovation
  • educational technology
  • empirical research
  • systematic literature reviews

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Published Papers (1 paper)

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Research

27 pages, 6440 KiB  
Article
Smartwatch-Based Monitoring and Alert System for Factory Operators Using Public Cloud Services
by Adriana Olteanu, Carla Georgia Marian and Radu Nicolae Pietraru
Appl. Sci. 2025, 15(5), 2806; https://doi.org/10.3390/app15052806 - 5 Mar 2025
Viewed by 680
Abstract
This research underscores the potential of integrating wearable devices with cloud computing to enhance communication, streamline operations, and improve productivity in factory environments. The findings highlight the transformative impact of such technologies on industrial workflows, paving the way for future advancements in smart [...] Read more.
This research underscores the potential of integrating wearable devices with cloud computing to enhance communication, streamline operations, and improve productivity in factory environments. The findings highlight the transformative impact of such technologies on industrial workflows, paving the way for future advancements in smart manufacturing solutions. This study introduces a smartwatch-based monitoring and alert system designed to optimize factory operations by leveraging cloud-based technologies. Through a structured analysis and design process, we defined the system’s functional requirements and architecture, carefully selecting technologies to meet operational objectives. The proposed framework enhances workplace communication by implementing a bidirectional notification system that fosters seamless interactions between employees and supervisors, as well as among colleagues. The development of an intuitive smartwatch application ensures that factory operators remain connected, responsive, and engaged with their tasks. Additionally, the system facilitates real-time monitoring, task management, and work hour tracking, simplifying reporting procedures and improving workforce efficiency. By utilizing cloud infrastructure, the solution offers scalability and robust security, adapting to evolving industrial demands. Full article
(This article belongs to the Special Issue Advances in Digital Information System)
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