Background: Supply chain collaboration technologies (SCCTs) are digital tools designed to enhance communication, coordination, and integration among supply chain stakeholders. These tools are essential for enhancing transparency, efficiency, and traceability within complex supply chain networks,...

Anwendungen der Künstlichen Intelligenz (KI) begegnen uns bereits heute, wenn auch oft unbemerkt, im Privat- und im Arbeitsleben. Die KI-Forschung hat eine rasante Entwicklung genommen; viele Experten gehen davon aus, dass die grundlegenden Veränderungen noch bevorstehen. Was gestern noch fast...

Das Werk behandelt das „Bezahlen mit Daten“ aus umsatzsteuerrechtlicher Sicht. Ausgehend von der (steuer)rechtlichen Einordnung künstlicher Intelligenz werden die Auswirkungen des Einsatzes künstlicher Intelligenz in Geschäftsmodellen auf das bestehende Besteuerungssystem dargestellt und...

Purpose Artificial intelligence (AI) offers many benefits to improve predictive marketing practice. It raises ethical concerns regarding customer prioritization, market share concentration and consumer manipulation. This paper explores these ethical concerns from a contemporary perspective,...

The field of MLOps (Machine Learning Operations), which focuses on effectively managing and operationalizing ML workflows, has grown because of the advancements in machine learning (ML). The goal of this study is to examine and contrast the difficulties encountered in the implementation of MLOps...

This study aims to understand how InsurTech has developed in Korea. To achieve this, we collected InsurTech-related news articles published in the Korean media over the past eight years. Using a relatedness analysis based on the TopicRank algorithm, a text mining technique, we extracted the top...

Can people develop trust in Artificial Intelligence (AI) by learning about its developments? We conducted a survey experiment in a nationally representative panel survey in the United States (N = 1,491) to study whether exposure to news about AI influences trust differently than learning about...

We examine the implications of robots and artificial intelligence (AI) for employment and productivity, using a rich firm-level database from the Survey of Business Activities provided by Statistics Korea. While previous studies have explored the effects of robots and AI separately, we...

This paper explores the application of machine learning (ML) techniques to nowcast the monthly year-over-year growth rate of both total and non-primary GDP in Peru. Using a comprehensive dataset that includes over 170 domestic and international predictors, we assess the predictive performance of...

There is a consensus on the urgent need for a cohesive European response to the challenges posed by Artificial Intelligence (AI). Increased investment, policy alignment and skill development, are crucial to leverage the emergence of this ground-breaking technology of AI for societal good. The...

Despite the potential significant benefits of AI in health and particular in healthcare, its uptake is slow. Main barriers include trust issues, understandability of outputs and patient safety concerns. While "trustworthy AI" has been embraced as a policy programme by various global regions,...

This study proposes a robotic process automation (RPA) model to streamline and optimize order-handling procedures in supply chain management. The current manual approach to order handling poses challenges, including limited accessibility and significant cognitive demands on employees. An...

Workforce planning in logistics is a major challenge due to increasing demands and a dynamic environment. The number of delivery positions is a key factor in determining staffing requirements. This is often predicted subjectively based on employee assessments. To improve decision making and...

This study analysed the determining factors of the concentration of "superstar firms" in specific economies, with a focus on the interaction between technological innovation, economic development, and market structures. Using global data from Statista on superstar firms for the year 2022,...

This paper combines labor force survey microdata with measures of occupational AI exposure and complementarity to examine the potential impact of recent advancements in AI on the Philippine labor market. We find that around one third of workers are highly exposed to AI with around sixty percent...

Artificial Intelligence (AI) and Generative AI models and their use have significantly advanced in recent years, evolving from their historical role in automating routine tasks to now performing complex cognitive functions. As a result, it has the potential to reshape the job landscape across a...