Data-Driven Formation and Development of Business Ecosystems
A special issue of Systems (ISSN 2079-8954). This special issue belongs to the section "Systems Practice in Social Science".
Deadline for manuscript submissions: 30 April 2026 | Viewed by 48
Special Issue Editors
Interests: Industry 4.0; Society 5.0; informatics; data mining; artificial intelligence
Interests: leadership; decision making; management; psychology in management; occupational health and management
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Advancements in data-intensive fields, including data analytics, automation, and artificial intelligence are catalyzing a profound transformation across all industries. The integration of computational tools and AI-powered platforms is redefining traditional operational pipelines, enabling unprecedented levels of efficiency, complexity, and innovation in the creation of products and services. This technological shift is not just an operational change but is fundamental to the formation and development of new data-driven business ecosystems. These emerging ecosystems foster novel forms of collaboration, value creation, and entrepreneurship by connecting technical implementations with their wider economic and strategic implications. Ultimately, the focus is on understanding how these intelligent, data-centric workflows are actively shaping the future of production, commerce, and business models across the global economic landscape.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Automation and algorithmic thinking in workflows.
- AI-assisted development and custom tooling.
- Data visualization and simulation.
- Generative AI and business ecosystems.
- Data-driven business models and value chains.
- AI's impact on education and skill development.
We look forward to receiving your contributions.
Dr. Tine Bertoncel
Prof. Dr. Maja Meško
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. Systems is an international peer-reviewed open access monthly 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
- data analytics
- artificial intelligence
- business ecosystems
- business models
- value creation
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