Digital Transformation Implementations: Challenges and Solutions

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

Deadline for manuscript submissions: closed (20 February 2022) | Viewed by 25057

Special Issue Editor


E-Mail Website
Guest Editor
DTx: Digital Transformation CoLAB/Department of Information systems, University of Minho, Campus Azurém, 4800-058 Guimarães, Portugal
Interests: digital transformation; data science; Artificial Intelligence; smart cities; smart governance; public service delivery; nanonetworks; Internet of Things

Special Issue Information

Dear Colleagues,

For this book, we are seeking articles relating experiences in digital transformations in industry, cities, and society in general. We seek to learn from those experiences, which will describe the most common challenges faced through this transformation process and the most suitable solutions to overcome those challenges.

Papers should seek to explain the background theory behind digital technologies along with practical cases tested and implemented in real environments. Methodologies, frameworks, and best practices for embarking on this digital transformation process are very welcome. The idea is to produce valuable decision-making & guidance instruments for academics, decision-makers, and practitioners.

To have a broad overview of the digital transformation landscape, particular attention will be given to cases that cover different application domains and use a wide spectrum of technologies such as IoT, Cloud Computing, Artificial Intelligence, and Blockchain.

Topics:

  • Industrial Internet of Things
  • Knowledge management
  • Analytics and data management
  • Manufacturing / Digital Twins
  • Digital value chain
  • Smart production
  • Automated decision support
  • Digital currency and blockchain transactions
  • Security issues on digital transformation

Dr. Nuno Vasco Lopes
Guest Editor

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.

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (5 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

16 pages, 3451 KiB  
Article
Sustainable Management and Policies: The Roles of Stakeholders in the Practice of Inclusive Education in Digital Transformation
by Refia Ari, Zehra Altinay, Fahriye Altinay, Gokmen Dagli and Engin Ari
Electronics 2022, 11(4), 585; https://doi.org/10.3390/electronics11040585 - 15 Feb 2022
Cited by 6 | Viewed by 4875
Abstract
Children are a country’s most valuable asset. Educating them and bringing them into society is one of the most fundamental tasks of a nation. The disadvantageous position that individuals with a disability are exposed to shows the importance of the need for inclusive [...] Read more.
Children are a country’s most valuable asset. Educating them and bringing them into society is one of the most fundamental tasks of a nation. The disadvantageous position that individuals with a disability are exposed to shows the importance of the need for inclusive education for the quality of life. It is important to use the merits of digital transformation to provide services and education for all to support sustainability. This research aims to shine a light on the problems related to inclusive education faced in the special education schools and rehabilitation centers and put forward suggestions for digital transformation. As inclusive means inclusion, social interaction, access, and equality for education, the role of digital transformation is examined for the quality of inclusive education. Self-reflection is a qualitative form which was employed in the research involving school managers and teachers who were selected randomly from the Special Education Schools and Rehabilitation Centers that participated in the research. It is revealed that most of the studies focus on inclusive education, the digital divide, social inclusion, online learning, and the implication of inclusive education in digital transformation. Although studies expose inclusive education in digital transformation, most of these have 0.20 quality criteria, showing an intensified need to extend the existing body of knowledge. It is shown that the vast majority of inclusive education aligns with the institution’s inclusive education vision and purpose. Concerning financing, it is difficult to find sponsors among non-governmental organizations to support the institution’s inclusive education-related material, equipment, and security needs, and Ministry of National Education funding is essential. There is a need to improve the inclusive education competencies of administrators and teachers, and in-service training should be provided. Self-improvement opportunities of administrators and teachers of the institution are significantly inadequate and should be improved. Full article
(This article belongs to the Special Issue Digital Transformation Implementations: Challenges and Solutions)
Show Figures

Figure 1

14 pages, 1747 KiB  
Article
Virtualization of Self-Driving Algorithms by Interoperating Embedded Controllers on a Game Engine for a Digital Twining Autonomous Vehicle
by Heuijee Yun and Daejin Park
Electronics 2021, 10(17), 2102; https://doi.org/10.3390/electronics10172102 - 30 Aug 2021
Cited by 13 | Viewed by 3772
Abstract
Computer simulation based on digital twin is an essential process when designing self-driving cars. However, designing a simulation program that is exactly equivalent to real phenomena can be arduous and cost-ineffective because too many things must be implemented. In this paper, we propose [...] Read more.
Computer simulation based on digital twin is an essential process when designing self-driving cars. However, designing a simulation program that is exactly equivalent to real phenomena can be arduous and cost-ineffective because too many things must be implemented. In this paper, we propose the method using the online game GTA5 (Grand Theft Auto5), as a groundwork for autonomous vehicle simulation. As GTA5 has a variety of well-implemented objects, people, and roads, it can be considered a suitable tool for simulation. By using OpenCV (Open source computer vision) to capture the GTA5 game screen and analyzing images with YOLO (You Only Look Once) and TensorFlow based on Python, we can build a quite accurate object recognition system. This can lead to writing of algorithms for object avoidance and lane recognition. Once these algorithms have been completed, vehicles in GTA5 can be controlled through codes composed of the basic functions of autonomous driving, such as collision avoidance and lane-departure prevention. In addition, the algorithm tested with GTA5 has been implemented with a programmable RC car (Radio control car), DonkeyCar, to increase reliability. By testing those algorithms, we can ensure that the algorithms can be conducted in real time and they cost low power and low memory size. Therefore, we have found a way to approach digital twin technology one step more easily. Full article
(This article belongs to the Special Issue Digital Transformation Implementations: Challenges and Solutions)
Show Figures

Figure 1

22 pages, 5821 KiB  
Article
Monitoring Index System for Sectors’ Digital Transformation and Its Application in China
by Jun Li, Keqin Dou, Sha Wen and Qing Li
Electronics 2021, 10(11), 1301; https://doi.org/10.3390/electronics10111301 - 29 May 2021
Cited by 9 | Viewed by 4198
Abstract
Presently, for the purpose of sustainable growth of the economy, it is a common choice to promote sectors’ digital transformation (DT). However, to credibly monitor the effect of DT on sectoral development, it is necessary to develop a systematic measure for the monitoring [...] Read more.
Presently, for the purpose of sustainable growth of the economy, it is a common choice to promote sectors’ digital transformation (DT). However, to credibly monitor the effect of DT on sectoral development, it is necessary to develop a systematic measure for the monitoring sector’s DT. This study provides a monitoring index system for sectors’ DT. First, an assessment framework for enterprises’ DT is introduced, which laid a foundation for the proposed monitoring index system for sectors’ DT. Secondly, a monitoring index system for sectors’ DT is established, which includes 13 monitoring indexes from four aspects, namely transformation stages, single-domain digitalization, integration and interconnection, and collaboration, interaction and mode innovation. A weighted method of interval hesitant fuzzy entropy is also given here. Finally, a panorama of sectors’ DT in China is derived by applying the proposed monitoring index system, and a prediction that the level of sectors’ DT in China will continue to grow in the next three years is made by gray predication. Full article
(This article belongs to the Special Issue Digital Transformation Implementations: Challenges and Solutions)
Show Figures

Figure 1

22 pages, 2936 KiB  
Article
Collaborative Ontology Engineering Methodologies for the Development of Decision Support Systems: Case Studies in the Healthcare Domain
by Daniele Spoladore and Elena Pessot
Electronics 2021, 10(9), 1060; https://doi.org/10.3390/electronics10091060 - 29 Apr 2021
Cited by 30 | Viewed by 4196
Abstract
New models and technological advances are driving the digital transformation of healthcare systems. Ontologies and Semantic Web have been recognized among the most valuable solutions to manage the massive, various, and complex healthcare data deriving from different sources, thus acting as backbones for [...] Read more.
New models and technological advances are driving the digital transformation of healthcare systems. Ontologies and Semantic Web have been recognized among the most valuable solutions to manage the massive, various, and complex healthcare data deriving from different sources, thus acting as backbones for ontology-based Decision Support Systems (DSSs). Several contributions in the literature propose Ontology engineering methodologies (OEMs) to assist the formalization and development of ontologies, by providing guidelines on tasks, activities, and stakeholders’ participation. Nevertheless, existing OEMs differ widely according to their approach, and often lack of sufficient details to support ontology engineers. This paper performs a meta-review of the main criteria adopted for assessing OEMs, and major issues and shortcomings identified in existing methodologies. The key issues requiring specific attention (i.e., the delivery of a feasibility study, the introduction of project management processes, the support for reuse, and the involvement of stakeholders) are then explored into three use cases of semantic-based DSS in health-related fields. Results contribute to the literature on OEMs by providing insights on specific tools and approaches to be used when tackling these issues in the development of collaborative OEMs supporting DSS. Full article
(This article belongs to the Special Issue Digital Transformation Implementations: Challenges and Solutions)
Show Figures

Figure 1

15 pages, 3140 KiB  
Article
Multi-Attribute Assessment of Digital Maturity of SMEs
by Mirjana Kljajić Borštnar and Andreja Pucihar
Electronics 2021, 10(8), 885; https://doi.org/10.3390/electronics10080885 - 8 Apr 2021
Cited by 39 | Viewed by 6588
Abstract
Small and medium-sized enterprises (SMEs) need to keep pace with large enterprises, thus they need to digitally transform. Since they usually lack resources (budget, knowledge, and time) many countries have their support environment to help SMEs in this endeavor. To be able to [...] Read more.
Small and medium-sized enterprises (SMEs) need to keep pace with large enterprises, thus they need to digitally transform. Since they usually lack resources (budget, knowledge, and time) many countries have their support environment to help SMEs in this endeavor. To be able to ensure the right kinds of support, it is crucial to assess the digital maturity of an enterprise. There are many models and assessment tools for digital maturity, however, they are either theoretical models, partial, vendor oriented, or suited for large enterprises. In this paper, we address the problem of assessing digital maturity for SMEs. For this purpose, we developed a multi-attribute model for assessment of the digital maturity of an SME. We followed the design science research approach, where the multi-attribute model is considered as an IT artifact. Within the design cycle, the decision expert (DEX) methodology of a broader multi-attribute decision making methodologies was applied. The developed model was validated by a group of experts and upgraded according to their feedback and finally evaluated on seven real-life cases. Results show that the model can be used in real business situations. Full article
(This article belongs to the Special Issue Digital Transformation Implementations: Challenges and Solutions)
Show Figures

Figure 1

Back to TopTop