sustainability-logo

Journal Browser

Journal Browser

Knowledge Management and Social Capital/Value for Sustainability

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Management".

Deadline for manuscript submissions: closed (15 November 2021) | Viewed by 11086

Special Issue Editor


E-Mail Website
Guest Editor
Computer Science Department, College of Engineering, Effat University, Jeddah, Saudi Arabia
Interests: cognitive computing; artificial intelligence; data science; bioinformatics; innovation; big data research; data mining; emerging technologies; information systems; technology driven innovation; knowledge management; semantic web
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Knowledge management promotes multidisciplinary and interdisciplinary research, exploiting contributions from Social Sciences, Information Systems research, as well as Education and Psychology domains. It serves as a holistic approach to the exploitation of structured and unstructured knowledge residing in digitized systems, human minds, and social assemblies. The latest developments in sophisticated, distributed information systems for Big Data management also set new challenges

Toward this end, the Guest Editors of this Special Issue seek papers that address, but are not limited to, the following issues and aspects related to the diverse aspects of Sustainable Data Science research:

Knowledge Management Topics

  • Knowledge-based strategies and systems;
  • Intellectual capital theories and systems;
  • Knowledge modeling techniques;
  • Knowledge and topic maps;
  • Recommendation systems and engines for critical decision support;
  • Knowledge management and Web 4.0 integration;
  • Knowledge management and organization security issues;
  • Enterprise knowledge management;
  • Communities of practice to manage knowledge and drive innovation;
  • Managing interorganizational networks;
  • Knowledge management and drivers of development and innovation;
  • Knowledge in universities and research centers: proposed indicators for measuring relational capital;
  • Skills and competencies management;
  • Knowledge management in the public service;
  • Assessing knowledge assets in sectors;
  • KM integration to entrepreneurship and innovation activities;
  • Knowledge management for web-based learning systems;
  • Predictive analytics;
  • Data mining;

Social Impact and Social Value Topics

  • Social value and social impact research;
  • Sustainability and knowledge optimizations;
  • Key performance indicators and KPIs for sustainability;

R&D Projects Dissemination

  • Horizon 2020 projects;
  • Vision 2030 Saudi Arabia;
  • Digital transformation.

References

Lytras, M.D.; Russ, M.; Maier, R.; Naeve, A. Knowledge Management Strategies: A Handbook of Applied Technologies; IGI Global: Hershey, PA, USA, 2008; pp. 1-356.Davies, J.; Lytras, M.; Sheth, A.P. Guest editors’ introduction: Semantic-web-based knowledge management. IEEE Internet Comput. 2007, 11, 14–16. Vossen, G.; Lytras, M.; Koudas, N. Editorial: Revisiting the (machine) semantic web: The missing layers for the human semantic web. IEEE Trans. Knowl. Data Eng. 2007, 19, 145–148.

Chen, M.-Y.; Lytras, M.D.; Sangaiah, A.K. Anticipatory computing: Crowd intelligence from social network and big data. Comput. Hum. Behav. 2019, 101, 350–351.

Lytras, M.D.; Visvizi, A. Big data and their social impact: Preliminary study. Sustainability 2019, 11, 5067.

Lytras, M.D.; Hassan, S.-U.; Aljohani, N.R. Linked open data of bibliometric networks: Analytics research for personalized library services. Library Hi Tech. 2019, 37, 2–7.

Lytras, M.; Visvizi, A.; Damiani, E.; Mathkour, H. The cognitive computing turn in education: Prospects and application. Comput. Hum. Behav. 2019, 92, 446–449.

Prof. Dr. Miltiadis D. Lytras
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. 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 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

  • knowledge management
  • social capital
  • social value
  • sustainability
  • data
  • information
  • knowledge
  • wisdom
  • data science
  • data mining
  • emerging technologies
  • Big Data
  • data analytics
  • visual analytics
  • case-studies
  • conceptual approaches
  • international collaboration
  • models

Published Papers (3 papers)

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

Research

15 pages, 2669 KiB  
Article
Development of an Approach to Evaluate Website Effectiveness
by Majid H. Alsulami, Mashael M. Khayyat, Omar I. Aboulola and Mohammed S. Alsaqer
Sustainability 2021, 13(23), 13304; https://doi.org/10.3390/su132313304 - 01 Dec 2021
Cited by 1 | Viewed by 3108
Abstract
The internet has been used by individuals, organizations, and governments for business, sports, health, banking, advertisement, education, and other services. Many websites have been developed and designed in the last several decades. However, most have not been developed and designed according to a [...] Read more.
The internet has been used by individuals, organizations, and governments for business, sports, health, banking, advertisement, education, and other services. Many websites have been developed and designed in the last several decades. However, most have not been developed and designed according to a shared set of design standards. Consequently, there is a need for an approach to evaluate the effectiveness of a website. A literature review was conducted to develop such an approach. Four experts were then consulted to inspect and evaluate the approach, and a questionnaire was completed by three categories: Internet users, website developers, and others to determine its final version. This research resulted in the development of an approach to evaluate website effectiveness, composed of three major criteria: design, content, and functionality, and 17 sub-criteria. The significance of this new approach is that it allows stakeholders to evaluate their websites and determine how to improve them in order to achieve their vision and mission. Full article
(This article belongs to the Special Issue Knowledge Management and Social Capital/Value for Sustainability)
Show Figures

Figure 1

27 pages, 4159 KiB  
Article
Crowdsourcing Research for Social Insights into Smart Cities Applications and Services
by Wadee Alhalabi, Miltiadis Lytras and Nada Aljohani
Sustainability 2021, 13(14), 7531; https://doi.org/10.3390/su13147531 - 06 Jul 2021
Cited by 8 | Viewed by 2612
Abstract
The evolution in knowledge management and crowdsourcing research provides new data-processing capabilities. The availability of both structured and unstructured open data formats offers unforeseen opportunities for analytics processing and advanced decision-making. However, social sciences research is facing advanced, complicated social challenges and problems. [...] Read more.
The evolution in knowledge management and crowdsourcing research provides new data-processing capabilities. The availability of both structured and unstructured open data formats offers unforeseen opportunities for analytics processing and advanced decision-making. However, social sciences research is facing advanced, complicated social challenges and problems. The focus of this study is to analyze the contribution of crowdsourcing techniques to the promotion of advanced social sciences research, exploiting open data available from the geographical positioning system (GPS) to analyze human behavior. In our study, we present the conceptual design of a device that, with the help of a global positioning system-data collection device (GPS-DCD), associates behavioral aspects of human life with place. The main contribution of this study is to integrate research in computer science and information systems with that in social science. The prototype system summarized in this work, proves the capacity of crowdsourcing and big data research to facilitate aggregation of microcontent related to human behavior toward improved quality of life and well-being in modern smart cities. Various ethical issues are also discussed to promote the scientific debate on this matter. Our study shows the capacity of emerging technologies to deal with social challenges. This kind of research will gain increased momentum in the future due to the availability of big data and new business models for social platforms. Full article
(This article belongs to the Special Issue Knowledge Management and Social Capital/Value for Sustainability)
Show Figures

Figure 1

16 pages, 1669 KiB  
Article
A Divergent View of the Impact of Digital Transformation on Academic Organizational and Spending Efficiency: A Review and Analytical Study on a University E-Service
by Hani Brdesee
Sustainability 2021, 13(13), 7048; https://doi.org/10.3390/su13137048 - 23 Jun 2021
Cited by 12 | Viewed by 4523
Abstract
With the aim of achieving a global ranking and academic distinction, a large number of universities have decided to focus on competition and greater academic quality on a global scale. During the course of such a journey, universities have to face numerous challenges, [...] Read more.
With the aim of achieving a global ranking and academic distinction, a large number of universities have decided to focus on competition and greater academic quality on a global scale. During the course of such a journey, universities have to face numerous challenges, including the enhancement of organizational efficiency. In the context of organizational efficiency, the most significant pillar supporting this drive is recognized as being digital transformation. It is widely accepted that digital transformation allows electronic systems to be used in the process of teaching and learning. These electronic systems (e-services) enhance universities’ operational efficiency. Keeping this in mind, this research paper aims to analyze the impact of digital transformation on the organizational and spending efficiency of universities, with a special focus on one particular e-service provided by the Saudi University. For this, the study examines the effort made by the government to spread the culture of rationalization and improve the efficiency of spending through a case study involving a statistical analysis of real data from an electronic system. The results of the study state that an increase in the number of subject withdrawals will weaken the spending and organizational efficiency of the University. Full article
(This article belongs to the Special Issue Knowledge Management and Social Capital/Value for Sustainability)
Show Figures

Figure 1

Back to TopTop