Novel Decision Methods to Enable Technological Innovation for a Sustainable Future
A special issue of Sustainability (ISSN 2071-1050).
Deadline for manuscript submissions: closed (10 October 2023) | Viewed by 2302
Special Issue Editors
Interests: management of technology; strategic management; decision analysis; data analytics
Special Issues, Collections and Topics in MDPI journals
Interests: graph-based algorithms; topological analysis; pattern recognition and machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Sustainability and technological innovation are intricately entwined and rely on one another. By making it possible to create new goods and services that are more sustainable, resource-efficient, and environmentally friendly, technological innovation can promote sustainability. Simultaneously, sustainability can spur on technical advancement by increasing demand for novel tools and approaches to solve societal and environmental problems. In general, technical innovation and sustainability work best together and reinforce one another. It is crucial to maintain innovation in vital industries such as manufacturing, agriculture, and the energy sector while simultaneously giving sustainability top priority during the development and uptake of new technologies in order to build a more sustainable future.
Therefore, this Special Issue invites submissions in the form theoretical or applied research on managing technology, including decision-making connected to Industry 4.0 and 5.0, artificial intelligence, 5G and 6G telecommunications, unmanned vehicles, and other such revolutionary techniques. Reviews and case studies are also welcomed.
The papers chosen for this Special Issue will undergo a rigorous peer review process with the goal of distributing research findings, advancements, and applications quickly and widely.
Prof. Dr. Chi-Yo Huang
Prof. Dr. Hsiao-Chun Wu
Dr. Yu-Sheng Kao
Guest Editors
Manuscript Submission Information
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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. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.
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Keywords
- technological innovation
- decision theory
- artificial intelligence
- Industry 4.0
- Industry 5.0
- unmanned vehicle
- multiple attribute decision theory
- multiple objective decision making
- patent mining
- big data analytics
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