Large language models (LLMs) are a potential substitute for human-generated data and knowledge resources. This substitution, however, can present a significant problem for the training data needed to develop future models if it leads to a reduction of human-generated content. In this work, we...

This study investigates ChatGPT's impact on effectiveness, efficiency, and problem-solving among higher education students in law, business informatics, and media and communication. Involving 304 students divided into experimental (using ChatGPT) and control groups for an open-book test, the...

The technological shift we witness today is indicated by the emergence of a global infrastructure combining information systems with the existing physical infrastructure where this integration is increasingly enabled by artificial intelligence (AI). The safety and control of this fast-paced...

Purpose This study aims to extend the dynamic capabilities (DCs) perspective to the project management context. The authors present supporting evidence for analyzing the creation process of DCs during the redesign of the software development process, and they examine the impact of those...

Uncovering customer insights (CI) is indispensable for contemporary marketing strategies. The widespread availability of user-generated content (UGC) presents a unique opportunity for firms to gain a nuanced understanding of their customers. However, the size and complexity of UGC datasets pose...

Can we use data on the biographies of historical figures to estimate the GDP per capita of countries and regions? Here, we introduce a machine learning method to estimate the GDP per capita of dozens of countries and hundreds of regions in Europe and North America for the past seven centuries...

The goal of the linear law-based feature space transformation (LLT) algorithm is to assist with the classification of univariate and multivariate time series. The presented R package, called LLT, implements this algorithm in a flexible yet user-friendly way. This package first splits the...

Open source software ecosystems consist of thousands of interdependent libraries, which users can combine to great effect. Recent work has pointed out two kinds of risks in these systems: that technical problems like bugs and vulnerabilities can spread through dependency links, and that...

This article presents an investment recommender system based on an Adaptive NeuroFuzzy Inference System (ANFIS) and pre-trained weights from a Multimodal Neural Network (MNN). The model is designed to support the investment process for the customers and takes into consideration seven factors to...

Avatars are commonly used in digital platforms to provide a visual representation of individual users to each other. Generally, avatar design in the past has focused on achieving visual fidelity and realism of social interactions. In this paper, we broaden the concept of avatars to incorporate...