GISMA Business School

This research explores the convergence of synthetic intelligence (SI) and inexperienced finance techniques in influencing the development of renewable power sectors, with a specific focus on Denmark and Germany for the critical periods of 2019 and 2020. ANOVA, paired sample t-tests, and regression analysis were used as part of a strict method to look into how the production of renewable energy has changed and how AI-driven financial techniques have affected it. The results spotlight the effectiveness of AI-driven green finance solutions in bringing approximately enormous ameliorations, establishing Denmark as a probable exemplar for sustainable progress. In evaluation, Germany’s consistent power infrastructure, blended with a fantastic correlation exposed in regression evaluation, highlights the durability of its environmentally pleasant economic methods. This study presents a well-timed and informative guide for developing effective, inexperienced finance rules that guide a greener and more sustainable future as international locations all around the world address environmental-demanding situations.

Abstract Besides the substantial advantages of adopting information and communication technologies (ICTs), software small medium enterprises (SSMEs) face major challenges largely connected to knowledge sharing, security, and management of data and information. The objective of this paper is to propose a platform backed with the advantages of blockchain technologies, allowing intra‐ and inter‐organizational knowledge and information sharing in SSMEs without losing control and ownership. Blockchain technology has the potential to bring about significant improvements in enhancing business models and processes wherein the authenticity of data is provided by smart contracts at every access point in a distributed information cycle in a transparent manner. The findings will support businesses in enhancing information flow, innovation, and competitive advantage in the current dynamic market. Unlike existing studies, which merely discuss the broader use of blockchain technology in the SSME domain, this paper provides a fresh promising direction in transforming SSMEs digitally.

Abstract It has been shown in a paper by L. Y. Faust that the wave velocity in rock depends on the depth below the ground surface according to a specified equation. It follows that the attitude of the planes of equal velocity is influenced by the topographic relief. Under these conditions the problem arises of how to place the reference plane in such a manner, that the fluctuations of the planes of equal velocity, that result from the fluctuations in the topography, shall not affect the results of the depth computations. In the present paper an analytical solution of this problem is given.