Intelligent Big Data Analytics and Knowledge Management

Dear Colleagues,

Data analytics is essential in many business organisations, academic institutions, as well as R&D departments, as it allows them to identify, assess, and extract actionable information. In particular, data analytics plays a crucial role in innovation creation and knowledge discovery. However, they are often defined by various properties, which are context-dependent and therefore difficult to scientifically and methodologically pinpoint.  Furthermore, innovative knowledge discovery overlaps with several disciplines and research fields, which require bespoke approaches to address the common interdependencies. This Special Issue focuses on the multidisciplinary methods, frameworks and applications applied to the identification, assessment and prediction of knowledge discovery and management and innovation creation and impact.

Topics of interest in this Special Issue include, but are not limited to: 

1. Data analytics for knowledge management and discovery;
2. Business analytics for innovation creation;
3. AI methods and implementation for knowledge discovery;
4. Predictive analytics to identify, store and assess new and innovative knowledge;
5. Innovative industry 4.0 and digital health applications.

Prof. Dr. Marcello Trovati
Dr. Umar F Khan
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 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 250 words) can be sent to the Editorial Office for assessment.

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. Electronics 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.