Dear Colleagues,

The organizational approach to sustainability has become a priority for more and more organizations. Environmental issues that include climate change, depletion of natural resources, waste management and many others are in the form of priority trends that have a considerable effect on organizational management, competitiveness, growth strategy and stakeholders. The combination of these challenges is the most important opportunity for territorial, organizational and societal units. The major challenge is found in organizations that have very large amounts of data. These amounts of data are complemented by investments in new technologies that add new data. Optimal use of this data for sustainable development is a challenge for shareholders and management. Often these data are used in a qualitative approach, predominantly. To optimize organizational decisions, Artificial Intelligence (AI), Machine Learning (ML), Blockchain and other related technologies offer the possibility to capture the value and improve the decision system. AI offers new opportunities to improve packaging performance as volume and complexity increase, and the distribution chain can be improved. ML contributes to the improvement of the decision-making process, offering directions to new innovations.

Guest editors are looking for publications that address these topics, but their work is not limited to these, including other aspects of artificial intelligence, machine learning and blockchain for sustainability research, as follows:

• Technology for sustainability;
• Artificial intelligence, machine learning and blockchain for environmental dimension;
• Artificial intelligence, machine learning and blockchain for circular economy;
• Artificial inteligence, machine learning and blockchain for sustainable decisions;
• Blockchain for supply chain efficiency;
• Life cycle assessment;
• Efficiency of the decision-making system based on related technologies;
• Technology-Organization-Environment;
• Academic perspectives and propositions for future research on sustainability;
• Emerging technologies for organizational sustainability;
• Organizational models;
• Applications used to improve organizational competitiveness;

Prof. Dr. Florin Dragan
Dr. Larisa Ivascu
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. J is an international peer-reviewed open access quarterly 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 1200 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.

• life cycle assessment
• sustainability opportunity
• blockchain technology
• supply chain sustainability
• barrier analysis
• artificial intelligence
• machine learning
• optimization
• decision
• global sustainability
• organizational sustainability