The present study, through the use of bibliometric techniques, had as its main purpose to contribute to the structuring and analysis of the available scientific literature in the field of research on studies concerning the Models for the Assessment of the Level of Digital Maturity to Industry...

Competence development in digital technologies, analytics, and artificial intelligence is increasingly important to all types of organizations and their workforce. Universities and corporations are investing heavily in developing training programs, at all tenure levels, to meet the new skills...

Donors and other stakeholders in nonprofit organizations often judge them by two measures. One is the percent of their spending that goes to programs, rather than towards the “overhead” fundraising or management and general functions. The second is their fundraising efficiency, defined as...

Time series analysis is a crucial tool for predicting how reinsurance revenues will be used. Reinsurance businesses must be aware of the estimated future values of claims in order to minimise the substantial losses brought on by predicted future claims. The potential values of anticipated claims...

Nowadays, investors seek beyond the financial performance of their investments, including Environmental, Social, and Governance (ESG) criteria in the decision-making process. To this effect, there are currently suppliers who offer different methodologies to evaluate the ESG factors that...

This paper analyzes the (dis)agreement of Sustainable Development Goals (SDGs) ratings across different rating providers and implications for portfolio management. It documents a considerable level of disagreement that is particularly high for large companies and for companies from the...