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Progress, Challenges and Priorities of Digital Sustainability in Developing Nations

A special issue of Sustainability (ISSN 2071-1050).

Deadline for manuscript submissions: closed (21 March 2022) | Viewed by 14639

Special Issue Editor


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Guest Editor
Department of Multimedia Technologies, Kaunas University of Technology, 51311 Kaunas, Lithuania
Interests: artificial intelligence; signal processing; computer vision; human–machine interfaces
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues, 

Over the last several decades, developing nations have shown an impressive jump in sustained growth in a multitude of sectors. Indeed, some were among the fastest-growing in the world. In recent years, a significant reduction was measured due to the misorientation of the existing goals with current realities (migration, pandemics, climate change, new technologies replacing humans, artificial intelligence, cyber issues), and a new basis will soon be needed to provide a boost to continuing sustainable growth, which will need to translate into improved well-being. The focus of this Special Issue of Sustainability is on Progress, Challenges, and Priorities of Digital Sustainability in Developing Nations. The scope is exclusively on the digital developments of all sectors involved in correlation with the latest mega-trends in digitization and industrialization (including Industry 4.0). The purpose of this Special Issue is to boost the research knowledge in the digital domain of sustainability, whereas outcomes of digitization and industrialization, such as technical innovations and data issues, cybersecurity issues, green processing, robotics, etc. are often the focus of many researchers only in the sense of direct and non-reusable application, while the sustainability aspects are often fully neglected and digital derivatives are not sustained. This Special Issue analyses the digital impacts on the sustainability of the most important ICT topics in developing nations, including but not limited to: sustainable entrepreneurship and bio-economy; sustainable education and gender issues; sustainable green energy, waste, and the environment; sustainable software, computing, and cybersecurity; sustainable engineering and materials. 

Dr. Rytis Maskeliunas
Guest Editor

Manuscript Submission Information

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Keywords

  • digital sustainability
  • sustainable entrepreneurship and bio-economy
  • sustainable education and gender issues
  • sustainable green energy, waste, and the environment
  • sustainable software, computing, and cybersecurity
  • sustainable engineering and materials

Published Papers (4 papers)

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Research

12 pages, 1358 KiB  
Article
Models of Sustainable Software: A Scoping Review
by Jakub Swacha
Sustainability 2022, 14(1), 551; https://doi.org/10.3390/su14010551 - 5 Jan 2022
Cited by 10 | Viewed by 3026
Abstract
Information and Communication Technologies (ICTs) play a double role in the strife for sustainable development goals, as both an enabler of green solutions and a cause of excessive consumption. While the primary focus of sustainability-related research is on the hardware aspect of ICT, [...] Read more.
Information and Communication Technologies (ICTs) play a double role in the strife for sustainable development goals, as both an enabler of green solutions and a cause of excessive consumption. While the primary focus of sustainability-related research is on the hardware aspect of ICT, its software aspect also deserves attention. In order for the notion of green and sustainable software to become widespread among practitioners, models are needed, both to be used as a reference on how to develop sustainable software, and to check whether given software or its development process is sustainable. In this paper, we present the results of a scoping review of literature on sustainable software models, based on 41 works extracted from an initial set of 178 query results from four bibliographic data providers. The relevant literature is mapped using five categories (model scope, purpose, covered sustainability aspects, verification or validation, and the economic category of the country of research), allowing us to identify recent trends and research gaps, which can be addressed in future work. Full article
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20 pages, 2045 KiB  
Article
Learning Remotely during a Pandemic: Are Students in a Developing Country Fully Equipped with Tools for Swift Changes?
by Eranda Perera and Kelum A. A. Gamage
Sustainability 2021, 13(15), 8635; https://doi.org/10.3390/su13158635 - 3 Aug 2021
Cited by 6 | Viewed by 2766
Abstract
Many higher educational institutes are forced to the online mode of lecture delivery without fully understanding students’ perspectives of remote study during COVID-19, and the resource limitations of students to engage successfully in remote learning. The present study aimed to understand this gap [...] Read more.
Many higher educational institutes are forced to the online mode of lecture delivery without fully understanding students’ perspectives of remote study during COVID-19, and the resource limitations of students to engage successfully in remote learning. The present study aimed to understand this gap and the students’ perspective. We collected and analysed the devices, which used by the students to connect to remote learning in a developing country. It was found that the majority of students are dependent on the laptop-smartphone combination to engage in remote learning, particularly the students in rural areas. The results highlighted the importance of smartphones in the online learning experience, considering their affordability, relatively long battery life, inbuilt internet capabilities, and portability. Although students indicated their willingness for remote learning, they clearly recognised the need for face-to-face teaching return to avoid some of the challenges and disadvantages they face as a part of remote learning. Full article
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20 pages, 1133 KiB  
Article
The Impact of Job Insecurity on Employee Happiness at Work: A Case of Robotised Production Line Operators in Furniture Industry in Lithuania
by Živilė Stankevičiūtė, Eglė Staniškienė and Joana Ramanauskaitė
Sustainability 2021, 13(3), 1563; https://doi.org/10.3390/su13031563 - 2 Feb 2021
Cited by 16 | Viewed by 5879
Abstract
As a result of intensive robotisation over the past decade, employees have been constantly experiencing job insecurity, a term which refers to the perceived threat of job loss and the worries related to this threat. Previous studies have supported the detrimental effect of [...] Read more.
As a result of intensive robotisation over the past decade, employees have been constantly experiencing job insecurity, a term which refers to the perceived threat of job loss and the worries related to this threat. Previous studies have supported the detrimental effect of job insecurity on employees; however, the focus on happiness at work is still missing, despite the notion that a happy employee is essentially contributing to sustainable business performance. Trying to narrow the gap, the paper aims at revealing the linkage between job insecurity and happiness at work and its dimensions, namely job satisfaction, affective organisational commitment, and work engagement. Building on the hindrance stressor dimension of the stress model, and conservation of resources and psychological contract theories, the paper claims that a negative relationship exists between the constructs. Quantitative data were collected in a survey of robotised production line operators working in the furniture sector in Lithuania. As predicted, the results revealed that job insecurity had a negative impact on happiness at work as a higher-order construct and all of its dimensions. This finding should be taken seriously by organisations creating a robotised production environment while striving for sustainability. Full article
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16 pages, 1436 KiB  
Article
A Deep Neural Network-Based Advisory Framework for Attainment of Sustainable Development Goals 1-6
by Okewu Emmanuel, Ananya M, Sanjay Misra and Murat Koyuncu
Sustainability 2020, 12(24), 10524; https://doi.org/10.3390/su122410524 - 16 Dec 2020
Cited by 5 | Viewed by 2045
Abstract
Research in sustainable development, program design and monitoring, and evaluation requires data analytics for the Sustainable Developments Goals (SDGs) not to suffer the same fate as the Millennium Development Goals (MDGs). The MDGs were poorly implemented, particularly in developing countries. In the SDGs [...] Read more.
Research in sustainable development, program design and monitoring, and evaluation requires data analytics for the Sustainable Developments Goals (SDGs) not to suffer the same fate as the Millennium Development Goals (MDGs). The MDGs were poorly implemented, particularly in developing countries. In the SDGs dispensation, there is a huge amount of development-related data that needs to be harnessed using predictive analytics models such as deep neural networks for timely and unbiased information. The SDGs aim at improving the lives of citizens globally. However, the first six SDGs (SDGs 1-6) are more relevant to developing economies than developed economies. This is because low-resourced countries are still battling with extreme poverty and unacceptable levels of illiteracy occasioned by corruption and poor leadership. Inclusive innovation is a philosophy of SDGs as no one should be left behind in the global economy. The focus of this study is the implementation of SDGs 1-6 in less developed countries. Given their peculiar socio-economic challenges, we proposed a design for a low-budget deep neural network-based sustainable development goals 1-6 (DNNSDGs 1-6) system. The aim is to empower actors implementing SDGs in developing countries with data-based information for robust decision making. Full article
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