Full electronic automation in stock exchanges has recently become popular, generating high-frequency intraday data and motivating the development of near real-time price forecasting methods. Machine learning algorithms are widely applied to mid-price stock predictions. Processing raw data as...

Blockchain technology and renewable energy links can realize the fusion of energy flow and information flow. The combination of the two has a high degree of matching, and the related research is also increasing. Although experts have expanded their research on renewable energy and blockchain,...

The author already published different articles on Matter theory under a systemic vision on one side, and knowledge-acquisitions methods in the AI era (with the special case of Chat-GPT) on the other one. This article intends to merge both topics by exposing theoretical and practical...

This paper examines the visual dimension of climate activism by exploring how Fridays for Future Germany (FFFG) uses visual imagery to convey the politics of climate change to wider audiences. The author argues that FFFG is an ideal-type form of visual activism in which visual imagery is central...

This paper introduces a visual approach to sustainable business model innovation that helps business model designers conceptualise how sustainability can be integrated in business models. Drawings are used to illustrate four sustainable trajectories for business model innovation. The...

It is beyond doubt that the exponential growth in available data will serve many purposes and will be provided for and to many users. To meet the wide range of needs, a business handling data system must meet different criteria. This paper provides an a both qualitative and quantitative...