Special Issue "Sustainable Information Systems"

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

Deadline for manuscript submissions: 31 December 2021.

Special Issue Editors

Dr. Osama Sohaib
Website
Guest Editor
School of Information, Systems and Modelling University of Technology Sydney, Australia
Interests: information system modeling; sustainable information systems; e-services
Dr. Muhammad Asif
Website
Guest Editor
Department of Computer Science, National Textile University, Faisalabad, Punjab 37610, Pakistan
Interests: Information Systems, Data Science, Machine learning, Sustainable Systems

Special Issue Information

Dear Colleagues,

Information systems (IS) consist of five components: people, hardware, software, data, and processes. To adequately explain sustainable information systems, we need to learn these IS five components serve collectively to provide the biggest possible benefit to sustainable development and value to the organization in terms of economic, social, and environmental aspects.
Sustainable IS are about the all-encompassing view of how we develop, operate, and manage IS to respond to stakeholders’ needs through the balanced consideration of environmental, economic, and social aspects. Accomplishing this adds to the firm IS management critical resources.
Research has shown that technology has an influence on the environment. However, if we are looking at how “sustainable” our use of technology is, we must consider IS components (such as hardware, software, data, people, and processes) which influence how a firm will build, deploy, use, and share its data and processes.
Sustainable IS are a significant part of corporate social responsibility. For example, in the business context, Big Data are undoubtedly a valuable source of information, but we must transform the Big Data into Sustainable Data. Sustainable management IS infrastructure provides a firm growth in terms of computing resources while becoming less dependent on energy consumption. For example, cloud computing infrastructure addresses resource efficiency. Cloud computing is then a key feature of IT environmental sustainability. However, there is a need for innovative IS applications that can increase the energy efficiency and sustainability of cloud datacenters.
This Special Issue on “Sustainable Information Systems” will address this critical and potentially wide-ranging topic. We encourage original research articles or comprehensive reviews from across diverse disciplines. Examples of contents include but are not limited to:

  • Sustainable information systems design;
  • Information systems for sustainable enterprise;
  • Sustainable information systems for supply chain management;
  • Sustainable e-commerce management;
  • Sustainable information management;
  • Sustainable Big Data;
  • Sustainable cloud computing in business information systems;
  • Sustainable healthcare systems;
  • Sustainable e-governance information systems;
  • E-learning sustainability;
  • Sustainable e-services.

Dr Osama Sohaib
Dr Muhammad Asif
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 papers will be 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. Sustainability 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 1800 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

  • information systems
  • sustainable information systems
  • sustainability
  • sustainable development
  • information management
  • information systems modeling
  • sustainable data
  • sustainable cloud computing
  • green IT

Published Papers (2 papers)

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Research

Open AccessArticle
A Linked Open Data-Oriented Sustainable System for Transparency and Open Access to Government Data: A Case Study of the Public’s Response to Women’s Driving in Saudi Arabia
Sustainability 2020, 12(20), 8608; https://doi.org/10.3390/su12208608 - 17 Oct 2020
Abstract
Due to the wide-ranging development of data-oriented sustainable systems in the government and the public sectors, the development of such sustainable systems is replete with potential. The ultimate focus of developing these sustainable systems is to provide citizens with transparency, accountability, awareness as [...] Read more.
Due to the wide-ranging development of data-oriented sustainable systems in the government and the public sectors, the development of such sustainable systems is replete with potential. The ultimate focus of developing these sustainable systems is to provide citizens with transparency, accountability, awareness as well as a single point of query for asking integrated and smart queries. In view of these benefits, the Saudi government has taken the initiative to publish and develop sustainable open data-oriented information systems. However some major challenges in the Saudi Government Open Data are that the (1) data are published and available in different formats such as Excel sheets, CSV files (Comma Separated Values), images, scanned documents and social media sources such as Twitter, (2) datasets from different government departments are not linked with each other or to existing datasets in Linked Open Data Cloud (even though they have strong links with each other), and (3) there is no SPARQL Endpoint that can be used to pose smart semantic-based queries to Saudi Government Data. This paper is part of an ongoing research project to present a framework that can be used to transfer the government data from different sources to RDF format. The framework can also be used to clean and classify/map the data according to the Saudi Government Ontology. We also describe our approach for semiautomatically linking Saudi Government Datasets with one another as well as with other existing open datasets, thus resulting in the Saudi Linked Open Government Data Cloud (SLOGDC). Finally, taking the topic “Public’s Response to Women’s Driving in Saudi Arabia” as a case study, we demonstrate the SLOGD SPARQL Endpoint as a data-oriented system by executing different queries and analyzing results of these queries. This work also contributes new insights into women’s driving in Saudi Arabia using the SLOGDC, thus suggesting the way forward in shaping policies for decision-making. Full article
(This article belongs to the Special Issue Sustainable Information Systems)
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Open AccessArticle
A Hierarchical Model to Evaluate the Quality of Web-Based E-Learning Systems
Sustainability 2020, 12(10), 4071; https://doi.org/10.3390/su12104071 - 15 May 2020
Cited by 1
Abstract
The rapid growth of Information and Communication Technologies (ICT)—specifically, the Internet—has given emergence to e-learning. Resultantly, web-based e-learning systems are being increasingly developed to enhance the learning process. However, the utilization of such systems is low, mainly owing to poor quality content and [...] Read more.
The rapid growth of Information and Communication Technologies (ICT)—specifically, the Internet—has given emergence to e-learning. Resultantly, web-based e-learning systems are being increasingly developed to enhance the learning process. However, the utilization of such systems is low, mainly owing to poor quality content and overall design problems. To improve usage, it is imperative to identify the factors with the most significant impact on the quality of these systems so that the e-learning industry keeps these factors in consideration while developing e-learning systems. This study focused on the identification and prioritization of factors related to the design quality of e-learning systems through a hierarchical quality model. Thus, firstly, an extensive literature review was conducted to identify the factors that most affect the quality of web-based e-learning systems. Secondly, among the identified factors, only those with the most significant effect were considered. To identify the most important quality criteria, a survey was conducted. An instrument was deployed among 157 subjects, including e-learning designers, developers, students, teachers, and educational administrators. Finally, a second instrument was distributed among 51 participants to make a pairwise comparison among the criteria and rank them according to their relative importance. The identified and prioritized factors were classified into four main categories. Among these four factors, content was identified as the most important factor, whereas design was found to be the least important factor. Full article
(This article belongs to the Special Issue Sustainable Information Systems)
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