Analyzing online reviews is essential for measuring reputation due to the rich availability of data, cost-effectiveness, and time efficiency compared to traditional survey methods. This study details brand perception and customers' experiences of Nordic logistics in 2023, aiming to elevate reputation and gain deeper insights into customer expectations and satisfaction to guide improvements in service delivery a...
Introduction Stroke is a leading cause of disability worldwide. This study uses Machine Learning models to investigate factors influencing modified Rankin Scale scores at discharge and three months post-discharge. Methods Data from 116 stroke patients were analyzed using four predictive models: Logistic Regression, Support Vector Machine, Random Forest, and Extreme Gradient Boosting (XGB). Shapley Additive Expl...
Tourism drives economic and social development worldwide, yet urban destinations like Lisbon face challenges from overtourism, which can negatively affect cities. Traditional statistics capture flows and economic impacts but fail to reflect experiential and perceptual dimensions, limiting timely policy responses. This study leverages user-generated content (UGC) from 143,656 TripAdvisor reviews to detect signal...
Navigating and interpreting the vast landscape of legal corpora demands a thorough understanding of individual documents and the broader context in which they are situated. In support of this, visual analytics tools have been proposed to reveal the underlying relationships and contextualize legal data. This systematic literature review explores such tools, elucidating the foundational works, current practices, ...
Background Stroke is a leading cause of death and disability worldwide where “time is brain”. Thrombolysis is the most common treatment and is available in all certified hospitals. Otherwise, thrombectomy is not available in all hospitals, but it is the most effective treatment. Nevertheless, current guidelines determine that stroke patients must be transported to the nearest hospital without considering the av...
This study explores how startups and scaleups in Europe and the US use generative AI in their go-to-market strategies across product-led, sales-led, and operational efficiency-driven growth. Through interviews with 20 cases spanning pre-seed to Series E funding stages, we 1) analyze generative AI's role in growth strategies, 2) identify large language model use cases for tackling growth challenges such as custo...
In the age of social networks, user-generated content has become vital for organizations in tourism and hospitality. Traditional sentiment analysis methods often struggle to process large volumes of data and capture implicit sentiments. This study examines the potential of Aspect-Based Sentiment Analysis (ABSA) using Large Language Models (LLMs) to enhance sentiment analysis. By employing GPT-4o via ChatGPT, we...
Purpose This study examines the impact of online firestorms on the financial performance of corporate social responsibility (CSR) campaigns by analyzing Twitter data and stock market trends. Design/methodology/approach Four publicly known campaigns that received backlash were studied, involving data from 76,242 tweets. Findings This investigation revealed that organizations could still achieve financial gains d...
Although Artificial Intelligence is a big revolution in the tourism and hospitality industry, prior research provides little insight into how customers respond to AI replacement and how providers can mitigate AI aversion. Drawing on the Feeling Economy framework, three studies examine how customers react to a different framing of AI replacement (augmentation vs. substitution) compared to using only human employ...
Introduction: Cardiovascular diseases affect 17.7 million people annually, worldwide. Carotid degenerative disease, commonly described as atherosclerotic plaque accumulation, significantly contributes to this, posing a risk for cerebrovascular events and ischemic strokes. With carotid stenosis (CS) being a primary concern, accurate diagnosis, clinical staging, and timely surgical interventions, such as carotid ...