Information on the number of interviewer contacts allows insights into how people's responses to questions on happiness are connected to the difficulty of reaching potential participants. Using the paradata of the German Socio-Economic Panel Study (SOEP), this paper continues such research by...

The formation of party preferences is a complex and not yet fully understood process based on a number of factors. This process, which is of great interest for both social and political science, is usually studied using questionnaire data which has proven to be a very reliable yet often costly...

The use of large datasets for macroeconomic forecasting has received a great deal of interest recently. Boosting is one possible method of using high-dimensional data for this purpose. It is a stage-wise additive modelling procedure, which, in a linear specification, becomes a variable selection...

Chapter 1. Private vs. Pooled Transportation: Customer Preference and Congestion Management -- Chapter 2. Optimal Dispatch in Emergency Service System via Reinforcement Learning -- Chapter 3. Towards Understanding the Dynamics of COVID-19: An Approach based on Polynomial Regression with Adaptive...

Even-related potentials (ERPs) reveal that trust and distrust differ between brands and political institutions -- RACE: A Real-time Architecture for Cognitive State Estimation, Development Overview and Study in Progress -- Exploring the Role of Post-hoc Explanations in Mitigating Algorithm...

Technologies for Digital Transformation. Towards the Future of Organisations -- Exploring Emerging Technologies -- Manufacturing SMEs and Artificial Intelligence: be-tween Promises and Paradoxes -- Investigating the Artificial Intelligence Debate in Organisation and Management Studies -- Do...

This open access book is the documentary of the Second International Forum on Financial Mathematics and Financial Technology, with focus on selected aspects of the current and upcoming trends in FinTech. In detail, the included scientific papers cover financial mathematics and FinTech,...

Advances in AI – NLP, Vision, Voice, and Self-taught AI Systems -- Soft Computing and Evolutionary Computing -- Neuro Evolutionary Techniques -- Innovations in AI methods, techniques, and algorithms -- Explainable AI -- AI and Robotics -- AI and Automatic Control -- AI and Cloud -- AI and IoT...

Chapter 1: Q-Learning Approach to Mitigate Bacterial Contamination in Food Supply Chain -- Chapter 2: Optimization of Network Planning in a Real-Life Vehicle Logistics Distribution System -- Chapter 3: Efficient Supplier Selection in e-Procurement Reverse Auction using Graph Based Model --...