Knowledge Management and Social Capital/Value for Sustainability

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

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