AI-Driven Decision Support for Systemic Innovation

A special issue of Applied System Innovation (ISSN 2571-5577). This special issue belongs to the section "Artificial Intelligence".

Deadline for manuscript submissions: 20 March 2026 | Viewed by 2

Special Issue Editors


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Guest Editor
College of Management Science, Chengdu University of Technology, Chengdu 610059, China
Interests: green innovation; system simulation; digital cultural tourism; artificial intelligence

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Guest Editor
Business School, Sichuan University, Chengdu, China
Interests: decision analysis; information fusion; health management

Special Issue Information

Dear Colleagues,

These days, artificial intelligence has expanded into the decision support domain, allowing for more data-driven, intelligent, and adaptive solutions to intricate systemic issues. Even if they worked well in structured settings in the past, traditional decision support systems (DSSs) frequently found it difficult to handle the multidisciplinary, dynamic, and uncertain character of contemporary technology. The rapid advancement of artificial intelligence domains, including machine learning, natural language processing, and generative models in the AI era, has created new opportunities for DSS, supporting digital, industrial, engineering, and data ecosystems.

The Special Issue aims to showcase cutting-edge research that combines artificial intelligence technology with decision models, system architecture, and application system innovation. We welcome submissions that highlight methodological breakthroughs, hybrid computing frameworks, and practical applications that utilize artificial intelligence to improve decision-making efficiency, transparency, and adaptability. Potential topics include optimization and simulation empowered by artificial intelligence, intelligent human–machine collaboration, IoT and blockchain-enhanced decision support systems (DSSs), applications of artificial intelligence in healthcare and medical informatics, as well as in engineering design, industrial systems, and sustainable intelligent environments.

We cordially invite researchers, engineers, and practitioners to submit original research articles and reviews for this Special Issue.

Prof. Dr. Yuyan Luo
Dr. Xinxin Wang
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 System Innovation 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 1600 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

  • AI-driven decision support
  • AI for smart tourism
  • systemic innovation and intelligent design
  • machine learning and data-driven DSS
  • AI in education and learning analytics
  • human–AI collaboration
  • simulation and optimization with AI
  • IoT- and blockchain-enhanced DSS
  • AI for medical informatics and healthcare innovation
  • engineering and industrial applications of AI-driven DSS
  • sustainable and smart systems innovation
  • explainable AI for DSS

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Published Papers

This special issue is now open for submission.
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