Author
Listed:
- Saura, Jose Ramon
- Mirza, Nawazish
- Mahto, Raj V.
Abstract
This editorial highlights how emerging technologies and data-driven solutions can foster sustainability and address the current global challenges. Fourteen articles form the core of this Special Issue, analyzing diverse applications of advanced analytics, artificial intelligence, and digital platforms in domains such as supply chain optimization, sustainable entrepreneurship, algorithmic trading, financial inclusion, and e-governance. Each contribution underscores the transformative potential of these innovations to reduce resource consumption, enhance operational efficiencies, and yield significant social and environmental benefits. Major obstacles also emerge, ranging from limited infrastructure and ambiguous regulatory environments to ethical concerns over data privacy and algorithmic bias, which can impede the success of technology-driven interventions. The findings highlight multidisciplinary perspectives to demonstrate how collaborative efforts between industry, academia, and policymakers enable the development of context-specific and ethically sound strategies. The studies in this Special Issue move beyond mere technological performance metrics, emphasizing instead the broader societal implications that arise when disruptive innovations are introduced. Further research is needed to investigate the scalability of these solutions, ensure equitable access to data-driven tools, and integrate comprehensive ethical guidelines. The insights presented as the result of the papers that composed the Special Issue reveal the pivotal role of emerging technologies in shaping a resilient, inclusive, and truly sustainable future, illustrating how responsible innovation can address the current environmental and social challenges.
Suggested Citation
Saura, Jose Ramon & Mirza, Nawazish & Mahto, Raj V., 2025.
"Assessing applications of emerging technologies in a data-driven era of sustainability and challenges,"
Technological Forecasting and Social Change, Elsevier, vol. 215(C).
Handle:
RePEc:eee:tefoso:v:215:y:2025:i:c:s0040162525001416
DOI: 10.1016/j.techfore.2025.124110
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:tefoso:v:215:y:2025:i:c:s0040162525001416. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.