Employee engagement is a very important topic across industries, incurring significant costs
globally due to disengaged employees. This dissertation focuses on the criticality of …

Qualitative data analysis is important to the field of healthcare since it allows researchers to
understand the lived experience of patients, practitioners, and everyone in between …

Nowadays, humanity lives in a world with access to a tremendous amount of information,
which is often easier to process for people by presenting it in infographics. Earlier research …

Involving end-users in system development processes has proven to be critically important
for a successful system. This is because a successful system must fulfill the needs of end …

O crescimento de dados gerados com o uso da Internet, faz com que, também, aumente a
dificuldade de fazer com que informações relevantes cheguem aos usuários. Para que isso …

Data-driven journalism is the future whereas visualisation is the key for effective storytelling.
As the conventional definition of journalism blended digitally with a great pace over the …

Abstract Trust in Large Language Models (LLMs) emerged as a pivotal concern. This is
because, despite the transformative potential of LLMs in enhancing the interpretability and …

Data stories are a narrative format that presents information and data in a way that is easy to
understand and engage with. They contain various elements that need to be considered …

Following the outbreak of the COVID-19 pandemic in 2019, numerous online newspapers
took it upon themselves to inform the public on a daily basis on the spread of the virus. Given …

Data-driven decision-making and collaboration are core pillars of a multi-tiered system of
supports (MTSS); however, timely and accessible data use, as well as data literacy and …