Measuring innovation accurately and efficiently is crucial for policymakers to encourage innovation activity. However, the established indicator landscape lacks timeliness and accuracy. In this study, we focus on the country of Mauritius that is transforming its economy towards the information...

Popular approaches to building data from unstructured text come with limitations, such as scalability, interpretability, replicability, and real-world applicability. These can be overcome with Context Rule Assisted Machine Learning (CRAML), a method and no-code suite of software tools that...

When managing any commercial, professional, scientific, or other project, it is necessary to plan all segments to integrate the various components and achieve the set plans. Nowadays, tasks such as drawing Gantt charts, network diagrams, and creating project reports are unthinkable without...

The SearchEngine is an open source project providing an integrated framework for diverse matching activities, especially the linkage of large scale firm data by fuzzy criteria like company names and addresses. At its core, it utilizes an efficient candidate retrieval mechanism implementing a...

Im Interview mit ChatGPT geht es um den Einsatz von Künstlicher Intelligenz (KI) an Hochschulen, z. B. wie KI in der Lehre eingesetzt werden kann, um Lernprozesse zu verbessern und Studierende zu unterstützen, wie KI in der Forschung genutzt werden kann, um die Effizienz von Prozessen zu...

Multimodal empirical distributions arise in many fields like Astrophysics, Bioinformatics, Climatology and Economics due to the heterogeneity of the underlying populations. Mixture processes are a popular tool for accurate approximation of such distributions and implied mode detection. Using...

Using textual analysis of 173,031 works printed in England between 1500 and 1900, we test whether British culture evolved to manifest a heightened belief in progress associated with science and industry. Our analysis yields three main findings. First, there was a separation in the language of...

When merging firms across large databases in the absence of common identifiers, text algorithms can help. I propose a high-performance fuzzy firm name matching algorithm that uses existing computational methods and works even under hardware restrictions. The algorithm consists of four steps,...

This research paper presents the results of a text mining analysis conducted on the quarterly monetary policy statements published by the Bank of Sierra Leone. This study examines the effectiveness and readability of monetary policy communication by the Bank of Sierra Leone. The research focuses...

This paper seeks to present the necessity of the public 'space' availability as a relaxation of the legislation margins in order of a flexible and efficient Strategic Public Management. This papers is about to be proposed with inclusion of the basic ideas of public strategic management. The...