A novel method of data collection based on high-resolution time-space data recorded by global positioning system units was used to segment visitors to the Old City of Acre heritage site in Israel. This technique of accurately tracking the temporal and spatial behavior of visitors carrying the global positioning system units overcomes the well-known limitations of traditional data collection methods. Discrete-choice methods and a system of censored regressions were used to identify the decision-making process at each stage of the visit. The segmentation of the visitors was based on these decisions. It was found that different attributes associate the visitors with different segments at each level. Although the findings might be site specific, the data collection and the segmentation method could be used by tourism planners and decision makers at other sites.
Despite Hong Kong׳s growing wine consumption and the abundance of retail brands available there, the demanding choice task faced by its wine consumers, who are more subject to a mix of Chinese and Western cultural influences than consumers in other South Asian countries, has not been studied until now. This exploratory study aims to delve into the importance of wine label attributes for Hong Kong Chinese wine consumers, and to shed light on the ways in which their perceptions affect their choice of wine. Employing an online survey, the results suggest that Hong Kong Chinese wine consumers look for the top three most searched attributes: wine origin, grape variety, and food and wine pairing. A simple means differences test indicated that a traditional label design is favored over modern and contemporary wine labels, and that yellow is the most preferred color. However, a data-driven segmentation analysis reveals that about 95% of young Hong Kong Chinese wine consumers prefer “elegant contemporary” labels with red as the dominant color. These findings could be useful for wineries entering this market and for wine label designers who wish to better understand how Hong Kong wine consumers assess alternatives when choosing a bottle of wine
Health care-associated infections (HAIs) affect millions of patients annually with up to 80,000 affected in Europe on any given day. This represents a significant societal and economic burden. Staff training, hand hygiene, patient identification and isolation and controlled antibiotic use are some of the standard ways to reduce HAI incidence but this is time consuming and subject and subject to rigorous implementation. In addition, the lack of antimicrobial activity of some disinfectants against healthcare-associated pathogens may also affect the efficacy of disinfection practices. Textiles are an attractive substrate for pathogens because of contact with the human body with the attendant warmth and moisture. Textiles and surfaces coated with engineered nanomaterials (ENMs) have shown considerable promise in reducing the microbial burden on those surfaces. Studies have also shown that this antimicrobial affect can reduce the incidence of HAIs. For all of the promising research, there has been an absence of study on the economic effectiveness of ENM coated materials in a healthcare setting. This article examines the relative economic efficacy of ENM coated materials against an antiseptic approach. The goal is to establish the economic efficacy of the widespread usage of ENM coated materials in a healthcare setting. In the absence of detailed and segregated costs, benefits and control variables over at least cross sectional data or time series, an aggregated approach is warranted. This approach, while relying on some supposition allows for a comparison with similar data regarding standard treatment to reduce HAIs and provides a reasonable economic comparison. We find that while, relative to antiseptics, ENM coated textiles represent a significant clinical advantage, they can also offer considerable cost savings.