This article introduces an ecosystemic framework to foster innovation for business
sustainability. We emphasize the idea of systemic thinking in which the business operates …

The Constrained Disorder Principle (CDP) defines all systems in nature by their degree of
inherent variability. Per the CDP, the intrinsic variability is mandatory for their proper function …

Rapid increase of data in different fields has been resulting in wide applications of Machine
Learning (ML) based intelligent systems in predictive decision making scenarios …

The rapid development of automation has led to machines increasingly taking over tasks
previously reserved for human operators, especially those involving high-risk settings and …

Deep learning models are pivotal in enhancing driver assistance systems and improving
environmental perception. However the tendency of neural networks towards overconfident …

Decision-making in environmental health policy is a complex procedure even in well-known
conditions. Thus, in the case of uncertainty, decision-making becomes a hurdle race. We …

We investigate the interplay between individual's intrinsic motivation and green incentives
on stated climate change adaptive behavior. Using experimental and survey data in the Fiji …

In this paper, we define characteristic axioms for 3D matrix games and extend the definitions
of the decision criteria under uncertainty to three dimensions in order to investigate the …

Decision-making is one of the most important management functions and a critical task for
managers. The tools that support decision makers in making decisions are Multi-criteria …

Decision-making requires a bidirectional flow of information from perception, emotion, and
bodily behaviour. Heart rate variability (HRV) provides a non-invasive, cost-effective way to …