Innovative Research Methods in Computer Science and Engineering
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: closed (31 October 2023) | Viewed by 7555
Special Issue Editors
Interests: information system; IT management; information security management; research methodology; blockchain technology; cyber security
Special Issues, Collections and Topics in MDPI journals
Interests: research methodology; leadership; business management; human resource management
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Computer science and engineering are not just about technical solutions. However, this field covers a larger extent of the scientific and engineering aspects of computing. Thus, research in computer science and engineering is crucial to building the blocks of problem-solving in this area through informed and well-grounded decisions. However, computer science and engineering are continuously developing, and this advancement has not been matched by similar developments in academic research methods in this area. Thus, research methods in computer science and engineering have been commonly borrowed from other sciences and do not seem to be practical. Considering the lack of any agreed research framework in computer science and engineering, this Special Issue provides motivation for developing innovative research methods that are superior to traditional methods to conduct research in this field covering the following scopes:
- New data analysis methods and applications in computer science and engineering;
- Literature review in computer science and engineering;
- Data validation in computational science and engineering;
- Statistical analysis in research methodology;
- Data collection in IT management and engineering research;
- Research methodologies in computer science and engineering research;
- Research design and approach in computer science and engineering studies;
- Scaling and sampling methods in management of information systems and engineering research;
- Evaluation validity and reliability in management of information systems and engineering research;
- Structural equation modeling, partial least squares path modeling, partial least squares structural equation modeling;
- Qualitative data analysis techniques and quantitative data analysis techniques;
- Data analysis techniques: regression analysis, Monte Carlo, simulation, factor analysis, Cohort analysis, cluster analysis, time series analysis, sentiment analysis.
Dr. Hamed Taherdoost
Dr. Mitra Madanchian
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 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. 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.
Keywords
- research
- computer science
- engineering
- research methodology
- research methods
- data analysis
- management of information systems
- research development
- research and development
- data analytics
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.
