Digitalization, Information Systems and Artificial Intelligence in Business Processing
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 February 2025 | Viewed by 198
Special Issue Editors
Interests: ICT business; ICT tourism; ICT education
Interests: specialized in information systems and technologies; ICT business; ICT tourism; ICT education
Special Issues, Collections and Topics in MDPI journals
Interests: specialized in information systems and technologies; ICT business; ICT tourism; ICT education
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The intersection of Business Intelligence (BI) and Business Process Management (BPM) has become increasingly crucial in today's data-driven business environment. As organizations strive to enhance efficiency, decision-making, and competitive advantage, the integration of BI and BPM offers powerful solutions to optimize processes, improve operational performance, and foster innovation. This Special Issue delves into the theoretical foundations and practical applications of BI and BPM, exploring how data-driven insights can be leveraged to transform business operations.
We are pleased to invite you to contribute to this Special Issue, which is titled “Digitalization, Information Systems and Artificial Intelligence in Business Processing”. This Special Issue will serve as a comprehensive resource for researchers, practitioners, and industry professionals seeking to understand and leverage the synergies between BI and BPM.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Integration of BI and BPM;
- Data Analytics and Process Optimization to enhance business processes;
- Process Mining and Workflow Automation;
- Real-time Decision Support Systems, i.e., the development and implementation of systems that provide real-time analytics and insights for decision-making;
- AI and Machine Learning in BI and BPM;
- Technological Advancements, i.e., the exploration of new technologies driving the evolution of BI and BPM.
- We look forward to receiving your contributions.
Dr. Julia Gallardo-Pérez
Prof. Dr. Alfonso Infante-Moro
Dr. Juan C. Infante-Moro
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. Applied Sciences 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
- business intelligence
- data analytics
- process mining
- real-time decision support
- artificial intelligence
- machine learning
- ICT business
- ICT tourism
- ICT education
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