This paper derives from a longitudinal study conducted in a multinational company. Through an interpretive case study approach, we have explored the phenomenon of knowledge networking in distributed work. More specifically, ...

The purpose of this study is to phenomenologically explore the practices of observing living nature in history, teaching, and learning, and to discuss potentials and constraints with teaching and learning observational ...

Contextual language models, such as transformers, can solve a wide range of language tasks ranging from text classification to question answering and machine translation. Like many deep learning models, the performance ...

A robust knowledge management (KM) strategy is essential for effective onboarding of new employees. Organizational knowledge plays a crucial role in helping new employees learn their work tasks and should be readily available ...

The aim of this master's thesis is to understand how organisational elements influence employees' compliance behaviour. To achieve this goal, we will examine the interviewees' responses to the challenges they experience ...

Flipped classroom (FC) pedagogical frameworks have recently gained considerable popularity, especially at secondary school levels. However, there are rich opportunities to explore FC at tertiary levels, but progress on the ...

In this study, we employ a parallel Computational Fluid Dynamics (CFD) code integrated with the VTDIRECT95 algorithm, a parallel deterministic global optimization method, to conduct global optimization for an oscillating ...

Feature combination is a powerful approach to improve object classification performance. While various combination algorithms have been proposed, average combination is almost always selected as the baseline algorithm to ...