Sustainability Issues and Mathematical Models of Digital Technologies

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematics and Computer Science".

Deadline for manuscript submissions: closed (1 November 2021) | Viewed by 11249

Special Issue Editor


E-Mail Website
Guest Editor
Department of Modelling and Simulation, Riga Technical University, Kalku Street 1, LV-1658 Riga, Latvia
Interests: modeling and simulation technologies; logistics information systems; sociotechnical systems dynamics; acceptance and sustainability; visual analytics; mathematical modeling
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Today, we live in a challenging but interesting time in which disruptive and pervasive digital technologies permeate society. These technologies promote business efficiency, improve society’s wellbeing, and at the same time leave a footprint on the environment. The adoption and lifecycle of technologies are well characterized by the Gartner curve. However, the question remains as to which of the proposed technologies will be sustainable and why, and how they will affect society. Will new technologies not pose additional risks and threats? These are issues that are relevant to technology authors, investors, policy makers, and, of course, potential technology users.

This Special Issue focuses on Mathematical methods and Mathematical models for assessing the sustainability of digital technologies, as well as solutions that explain technology acceptance, adoption, and use issues.

We would like to invite researchers, academicians, policy makers, and industry representatives, as well as to pay special attention in their research to the interaction processes between business, society, and the environment in the lifecycle of digital technologies. Respecting the pandemic and its consequences, it would be important to focus on inclusive and intelligent digital technologies that ensure public life, health, and economic development.

Prof. Dr. Egils Ginters
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. Mathematics 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 2600 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 technology acceptance
  • sociotechnical systems sustainability development
  • society and technology interaction
  • policy crafting in a digital society
  • pervasive technologies and human rights
  • impact of disruptive technologies
  • public health issues
  • environmental impact modeling
  • systems efficiency and responsiveness
  • unanticipated effects and risk assessment
  • sociotechnical systems dynamics
  • hybrid and distributed simulation
  • domain adapted visualization
  • virtual and augmented visualization
  • visual trend analytics
  • mathematical modeling and simulation

Published Papers (5 papers)

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

Research

12 pages, 242 KiB  
Article
Methodology for Constructing and Using a Mathematical Model for Assessing Labor Costs for the Development of Distance Learning Courses
by Boriss Misnevs, Aliaksandr Puptsau and Vacius Jusas
Mathematics 2021, 9(23), 3049; https://doi.org/10.3390/math9233049 - 27 Nov 2021
Cited by 1 | Viewed by 1385
Abstract
Distance learning plays a significant role in solving the problem of the sustainable development of society. Unfortunately, the development and implementation of distance courses are still carried out intuitively, which does not allow practical implementation of effective mathematics methods and slows down the [...] Read more.
Distance learning plays a significant role in solving the problem of the sustainable development of society. Unfortunately, the development and implementation of distance courses are still carried out intuitively, which does not allow practical implementation of effective mathematics methods and slows down the introduction of breakthrough technologies. The aim of the research was to develop a new model and a methodology for assessing the labor costs of designing distance learning courses by university teachers based on a comprehensive assessment of the courses’ quality. The suggested model originally extends the constructive cost evaluation model already used in IT industry. The developed criteria make it possible to assess labor costs in relation to the quality of course development. The paper provides and analyzes such calculations on the example of courses in the theory of algorithms and programming. Full article
(This article belongs to the Special Issue Sustainability Issues and Mathematical Models of Digital Technologies)
18 pages, 16785 KiB  
Article
Sustainable Development Model of EU Cities Compliant with UN Settings
by Edvins Karnitis, Janis Bicevskis, Girts Karnitis and Maris Pukis
Mathematics 2021, 9(22), 2888; https://doi.org/10.3390/math9222888 - 13 Nov 2021
Cited by 5 | Viewed by 2191
Abstract
Nowadays, the globally accepted UN concept of sustainable development (SD) is gradually transferred to the city level, including small and medium-sized cities. The implementation of SD settings requires regular measurement of developmental progress to monitor the level achieved in statics and dynamics, and [...] Read more.
Nowadays, the globally accepted UN concept of sustainable development (SD) is gradually transferred to the city level, including small and medium-sized cities. The implementation of SD settings requires regular measurement of developmental progress to monitor the level achieved in statics and dynamics, and to make strategic decisions for the next period. The existing urban SD indicator systems and indices are not well-suited for the monitoring of specific cities. Benchmarking algorithms and mathematical modelling procedures were applied to create a methodology and mathematical model for measuring the achieved urban SD level and to ensure the most objective selection and proportions of key performance indicators (KPIs) to be included in the model. The model (1) complies with the UN concept, (2) is usable for any EU city, (3) reflects the level of quality of life achieved, and (4) includes a limited number of KPIs related to municipal functionality. Mathematical computation of the (1) causality between the KPIs, (2) selection and proportions of KPIs, and (3) the general level of urban SD, as well as the reasonable combination of universality, accuracy, stability, and simplicity are strong advantages of the model. Using the published mathematical expressions of the model, calculation of the SD level does not require specific skills; the performed stability test also confirms that annual calibration of the model is not necessary. The index will help municipalities in planning and managing SD, and in the rational use of their usually limited resources. As a pilot project, SD level values are calculated for several cities. Full article
(This article belongs to the Special Issue Sustainability Issues and Mathematical Models of Digital Technologies)
Show Figures

Figure 1

22 pages, 2771 KiB  
Article
Hidden and Latent Factors’ Influence on Digital Technology Sustainability Development
by Egils Ginters and Jagadeesh Chakkaravarthy Revathy
Mathematics 2021, 9(21), 2801; https://doi.org/10.3390/math9212801 - 04 Nov 2021
Cited by 4 | Viewed by 2134
Abstract
The modern world can be described as a sociotechnical system, the existence and development of which are determined by the successful interaction of technology and society. When introducing a technology, it is important to assess its potential sustainability. There are currently more than [...] Read more.
The modern world can be described as a sociotechnical system, the existence and development of which are determined by the successful interaction of technology and society. When introducing a technology, it is important to assess its potential sustainability. There are currently more than a hundred different sustainability assessment methods that allow for the sustainability of a technology to be predicted on the basis of a quantitative assessment of basic impact indicators. However, as the complexity of technology increases, there are hidden and latent factors inherent in technology that sooner or later affect the sustainability of technology and pose significant risks. Identifying these factors is particularly important for digital technologies, as they are the backbone of any other current technology. The aim of this article is to identify and explain the impact of a set of hidden and latent factors on the sustainability of digital technologies by using a system dynamics simulation and the possibilities offered by Bayesian networks. The results of this study are useful for technology sustainability researchers, technology authors, and investors. Full article
(This article belongs to the Special Issue Sustainability Issues and Mathematical Models of Digital Technologies)
Show Figures

Figure 1

24 pages, 10076 KiB  
Article
The Service Strategy and Influencing Factors of Online Recycling of Used Mobile Phones
by Liang Shen, Runjie Fan, Zhaoqing Yu and Yuyan Wang
Mathematics 2021, 9(21), 2690; https://doi.org/10.3390/math9212690 - 22 Oct 2021
Cited by 5 | Viewed by 1966
Abstract
Currently, many online platforms participate in the recycling of waste products, and the online recycling of used mobile phones is especially popular. We explore the service strategy for and the factors influencing customers’ willingness of online recycling (CWOR) of used mobile phones. We [...] Read more.
Currently, many online platforms participate in the recycling of waste products, and the online recycling of used mobile phones is especially popular. We explore the service strategy for and the factors influencing customers’ willingness of online recycling (CWOR) of used mobile phones. We develop a game model of a reverse supply chain comprising a mobile phone manufacturer (MPM) and an online recycling platform (ORP) to analytically examine the influencing factors of CWOR. We show that the MPM’s profit is mainly affected by CWOR and the ORP’s offered recycling service. The impacts of customers’ preferences of the recycling price and recycling service on the MPM’s profit depend on the service cost coefficient. The ORP’s profit is independent of its service cost and customers’ preference of the recycling service. However, the impact of the recycling commission is restricted by customers’ preference of the recycling price. We also use structural equation modelling to empirically show that recycling service and environmental consciousness positively affect CWOR, and environmental protection publicity enhances environmental consciousness. In addition, customers’ age and income moderate the recycling service–CWOR link. Our findings reveal that improving the recycling service can directly and indirectly promote the recycling of used mobile phones. These findings provide guidance to the government and businesses related to used mobile phone recycling. Full article
(This article belongs to the Special Issue Sustainability Issues and Mathematical Models of Digital Technologies)
Show Figures

Figure 1

22 pages, 947 KiB  
Article
A Chemical Analysis of Hybrid Economic Systems—Tokens and Money
by Anabele-Linda Pardi and Mario Paolucci
Mathematics 2021, 9(20), 2607; https://doi.org/10.3390/math9202607 - 16 Oct 2021
Cited by 2 | Viewed by 2691
Abstract
With the influence of digital technology in our daily lives continuously growing, we investigate methods with the purpose of assessing the stability, sustainability, and design of systems of token economies that include tokens and conventional currencies. Based on a chemical approach, we model [...] Read more.
With the influence of digital technology in our daily lives continuously growing, we investigate methods with the purpose of assessing the stability, sustainability, and design of systems of token economies that include tokens and conventional currencies. Based on a chemical approach, we model markets with a minimum number of variables and compare the transaction rates, stability, and token design properties at different levels of tokenisation. The kinetic study reveals that in certain conditions, if the price of a product contains both conventional money and tokens, one can treat this combination as one composite currency. The dynamic behaviour of the analysed systems is proven to be dynamically stable for the chosen models. Moreover, by applying the supply and demand law to recalculate the prices of products, the necessity of previous knowledge of certain token attributes—token divisibility and token–money exchange rates—emerges. The chemical framework, along with the analytic methods that we propose, is flexible enough to be adjusted to a variety of conditions and offer valuable information about economic systems. Full article
(This article belongs to the Special Issue Sustainability Issues and Mathematical Models of Digital Technologies)
Show Figures

Figure 1

Back to TopTop