Advanced Research in Technology and Information Systems, 2nd Edition

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: 30 September 2025 | Viewed by 376

Special Issue Editors


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Guest Editor
Department of Accounting, Business Information Systems and Statistics, Alexandru Ioan Cuza University of Iasi, 700506 Iași, Romania
Interests: neural networks; machine learning; deep learning; sentiment analysis; IoT systems; information systems for management; enterprise resource planning
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Management, Faculty of Education, Economics and Technology, University of Granada, 51001 Ceuta, Spain
Interests: IoT; information systems; innovation; quantitative research
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Customer Intelligence Research Group,West Pomeranian University of Technology, 70-311 Szczecin, Poland
Interests: IT in business; AI; R&D; human-computer interaction; management; e-commerce; marketing; R&D tax incentives; new business consulting; leadership; private and public funding
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The domains of Information Systems and Technology are constantly growing, providing a plethora of research topics as well as multiple career opportunities. Information Systems serve as the nexus of technology, processes, and people, and foster innovations in various domains throughout a wide variety of subjects for research such as Databases, Artificial Intelligence (NLP, Deep Learning, Machine Learning) Programming, and Information Systems Analysis and Design. The recent technological advancements and Internet infrastructure bring benefits to worldwide communities through smart cities, smart governance, and smart education, and increase the emergence of IoT and “smart” capabilities of electronic sensors.

This Special Issue of the Electronics journal, entitled Advanced Research in Technology and Information Systems, aims to unite in a single volume the most recent discoveries in the form of original research manuscripts and reviews on relevant subjects for this collection. The implications related to technology and Information Systems in higher education curricula are also welcome in this SI. Therefore, the topics of interest for this Special Issue can include, but are not limited to:

  • Information Systems: analysis, design, and developments;
  • Information Systems—as a study discipline—higher education curricula challenges;
  • Artificial Intelligence Applications;
  • Natural Language Processing;
  • Human–computer interaction;
  • Electronic commerce;
  • Machine learning techniques for intelligent software development;
  • Artificial Neural Networks applications;
  • Big Data applications;
  • Intelligent electronic solutions for future applications;
  • IoT implementations;
  • Smart government, smart education, smart cities, smart electronics, and smart offices;
  • Advanced features of power systems.

Prof. Dr. Vasile-Daniel Pavaloaia
Prof. Dr. Rodrigo Martin-Rojas
Prof. Dr. Piotr Sulikowski
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. Electronics 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

  • IoT
  • information systems
  • human–computer interaction
  • big data applications
  • artificial intelligence applications

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Published Papers (1 paper)

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Research

25 pages, 2726 KiB  
Article
Requirements Engineering Approach for Data Ownership Concepts
by Jad Asswad, Viktor Dmitriyev, Maria Edith Elizondo Guerrero, Cedrik Theesen and Julia Köhlke
Electronics 2025, 14(7), 1288; https://doi.org/10.3390/electronics14071288 - 25 Mar 2025
Viewed by 247
Abstract
In recent years, the growing importance of data ownership has attracted significant attention, reflecting not only its pivotal role in the evolving data-driven environment but also the complexity of addressing it across diverse contexts. The necessity of developing effective data ownership concepts for [...] Read more.
In recent years, the growing importance of data ownership has attracted significant attention, reflecting not only its pivotal role in the evolving data-driven environment but also the complexity of addressing it across diverse contexts. The necessity of developing effective data ownership concepts for data platforms is indisputable; nevertheless, the process is inherently complex and demands a comprehensive examination of the requirements surrounding this multifaceted issue. This paper puts forward a novel approach to the development of data ownership concepts, which draws on principles from requirements engineering (RE). The efficacy of this approach is evaluated through in-depth case-studies focusing on three distinct contexts: the development of a data ownership concept within the realm of smart meters, smart livestock farming, and data spaces for energy. Through the application of RE principles, this work strives to provide a structured and effective approach for addressing the nuanced challenges associated with data ownership in the process of developing data ownership concepts for data-driven platforms and applications. Full article
(This article belongs to the Special Issue Advanced Research in Technology and Information Systems, 2nd Edition)
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