Business Innovation and Corporate Governance to Achieve Sustainable Organizations
A special issue of World (ISSN 2673-4060).
Deadline for manuscript submissions: 31 August 2025 | Viewed by 114
Special Issue Editors
Interests: open innovation; sustainability; industrial management; soft computing
Interests: business innovation; entrepreneurship; corporate strategy; HR analytics; organizational behavior; sustainability; business management; supply chain management; Industry 4.0; blockchain
Interests: Industry 5.0; IoT in logistics; communications; IoT cloud
Special Issues, Collections and Topics in MDPI journals
Interests: AI; blockchain; complex system governance; engineering management; Industry 5.0; IoT; risk management; sustainability
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue aims to bring together new research concerning the areas of business innovation, sustainable development, and corporate governance to bring value to organizations and society in general.
Although business innovation can be summarized as “doing something different to create value”, the importance of having a good corporate governance structure, integrated with sustainability policies/measures, allows governments to boost value for organizations in general.
Therefore, the exists a challenge regarding how to achieve more sustainable companies through more innovative business approaches and/or through corporate governance policies.
Thus, we welcome submissions that represent original, high-quality, theoretical, and empirical research, as well as policy-oriented research papers, to enrich our knowledge of areas related to business innovation, corporate governance, and sustainability.
It is especially encouraged the research that focuses on technologies and applications that have been profoundly transforming businesses and the organizations in general, presenting therefore new challenges and opportunities to achieve sustainability within companies. Some topics of interest include, but are not limited to, are as follows: IoT in Logistics, data analytics and business intelligence in Industry 5.0, AI, machine learning, blockchain, smart contracts, robotics and M2M (machine to machine), open innovation, sustainability, and, last but not the least, the issue of the privacy and security of data.
Dr. Ricardo Simões Santos
Dr. Antonio Pimenta de Brito
Dr. Luis Pires
Dr. Polinpapilinho Katina
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. World 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 1000 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
- Industry 5.0
- corporate governance
- IoT in logistics
- sustainable business environment
- corporate social responsibility
- open innovation
- AI
- machine learning
- blockchain
- smart contracts
- robotics
- M2M (machine to machine)
- privacy
- security
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