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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


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Guest Editor
Division of Electrical and Computer Engineering, School of Electrical Engineering and Computer Science, Louisiana State University, Baton Rouge, LA 70803, USA
Interests: graph-based algorithms; topological analysis; pattern recognition and machine learning
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Program of Technology Management, Department of Industrial Education, National Taiwan Normal University, Taipei 106, Taiwan
Interests: big data analytics; artificial intelligence; decision analysis

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

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. Sustainability 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

  • 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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Published Papers (1 paper)

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Research

45 pages, 2185 KiB  
Article
Enablers for Adopting Restriction of Hazardous Substances Directives by Electronic Manufacturing Service Providers
by Jeng-Chieh Cheng, Jeen-Fong Li and Chi-Yo Huang
Sustainability 2023, 15(16), 12341; https://doi.org/10.3390/su151612341 - 14 Aug 2023
Cited by 1 | Viewed by 1870
Abstract
The Electronic Manufacturing Service (EMS) industry contributes significantly to toxic waste generation due to its fabrication processes. Notably, adherence to the Restriction of Hazardous Substances (RoHS) Directive varies amongst EMS providers, despite its aim to reduce electronic waste. This study explores the factors [...] Read more.
The Electronic Manufacturing Service (EMS) industry contributes significantly to toxic waste generation due to its fabrication processes. Notably, adherence to the Restriction of Hazardous Substances (RoHS) Directive varies amongst EMS providers, despite its aim to reduce electronic waste. This study explores the factors influencing EMS providers’ decision to adopt the RoHS directive, utilizing the technology–organization–environment (TOE) and the human–organization–technology (HOT) fit, or the TOE-HOT fit framework. We validated our framework using partial least squares structural equation modeling (PLS-SEM), based on responses from 379 questionnaires from major EMS providers. The results demonstrated that expert resources, adequate resources, perceived industrial pressure, institutional pressure, and costs were positively associated with RoHS adoption. However, innovation, relative advantage, and verification ability were identified as significant barriers. In particular, innovation in the human dimension was the key determinant for RoHS adoption. Therefore, clear policy instruments and regulations may enhance RoHS adoption by EMS providers. These findings can guide environmental policy definitions in governmental laws and strategies, encouraging EMS providers and other firms to adopt RoHS standards. Full article
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