1,720,986 research outputs found
Tasty or Healthy? The Influence of Different Messages on Local Food Consumption Recommendations in a Service Setting
Vacation Preferences in the COVID-19 Era: The Role of Age, Negative Affect, and Perceived Uncertainty
Underscoring Flavor or Healthiness? The Effectiveness of Different Communication Appeals in Promoting Local Food and the Moderating Role of Individual Construal
Satellite air temperature estimation for monitoring the canopy layer heat island of Milan
In this work, satellite maps of the urban heat island of Milan are produced using satellite-based infrared sensor dataFor this aim, we developed suitable algorithms employing satellite brightness temperatures for the direct air temperature estimation 2 m above the surface (canopy layer), showing accuracies below 2KThe air temperatures measured by ground-based weather stations were properly matched with brightness temperatures observed by the Moderate-resolution Imaging Spectroradiometer (MODIS) on board of both Terra and Aqua satellitesIn total, 931 daytime and nighttime scenes taken between 2007 and 2010 were processedAnalysis of the canopy layer heat island (CLHI) maps during summer months reveals an average heat island effect of 3-4K during nighttime (with some peaks around 5K) and a weak CLHI intensity during daytimeIn addition, the satellite maps reveal a well defined island shape across the city center from June to September confirming that, in Milan, urban heating is not an occasional phenomenonFurthermore, this study shows the utility of space missions to monitor the metropolis heat islands if they are able to provide nighttime observations when CLHI peaks are generally significant. © 2012 Elsevier Inc
Effects of Socio-Demographics, Sense of Control, and Uncertainty Avoidability on Post-COVID-19 Vacation Intention
Tourism industry is facing an unprecedented crisis due to the global spread of the new coronavirus disease (COVID-19). However, due to the novelty of the phenomenon, there is a shortage of studies exploring the effects of the pandemic on tourists’ reactions and, to date, no study has examined how certain individual differences might impact vacation intention after COVID-19. To contribute to this area of inquiry, this research focuses on a series of socio-demographic variables – i.e. age, gender, education, income, health status, and number of children – to investigate their influence on individuals’ sense of control, ability to avoid the uncertainty derived from the current health crisis, and vacation intention. The research predicts a chain of relationships whereby the socio-demographic variables influence individuals’ sense of control, which is positively associated with their perceived ability to avoid uncertainty. This perception, in turn, is positively related to vacation intention. A survey study conducted in Italy shows that older respondents and those in poorer health conditions feel less in control and able to avoid the situational uncertainty related to the pandemic; this feeling, in turn, decreases their intention to take a vacation as soon as the pandemic is over. Theoretical and managerial implications are discussed
Vacation Preferences in the COVID-19 Era: An Investigation of Age-Related Effects
This research examines how individuals’ vacation preferences may vary due to their reaction to the COVID-19 pandemic. Specifically, it investigates the influence of age on the individuals’ negative affect felt during the lockdown period of the first contagion wave and their level of uncertainty subsequently perceived. A study conducted in Italy shows an inverse relationship between age and negative affect, which in turn enhanced perceived uncertainty. Furthermore, perceived uncertainty is inversely related to individuals’ preference for exciting vacations over relaxing ones. These findings suggest a potential change in vacation preferences and carry implications for tourism companies
Communicating the Health Value of Olive Oil: An Analysis of Consumers’ Emotional and Attitudinal Responses to Label Health Claims
Less Saturated, More Eco-Friendly: Color Saturation and Consumer Perception of Product Sustainability
Color saturation—the color's purity and intensity (also known as vividness)—is a visual feature that has been under-investigated in the context of green marketing. To advance knowledge of this topic, we performed five experimental studies to confirm that consumers tend to unconsciously associate low color saturation with a product's “gentler” impact on the environment. This perception of eco-friendliness, in turn, increases their trust in the product maker's greenness. Our research disentangles the direct and indirect impact (via consumers' perceptions of materials' naturalness, product authenticity, and product durability) of low-saturation colors on the perceived eco-friendliness of consumer products. Furthermore, the results reveal that, by fostering perceptions of eco-friendliness and green trust, such colors favorably influence consumers' behavioral intentions (i.e., their purchase intention and intention to pay a premium price for the product). Ultimately, the paper provides useful insights for companies and marketers interested in leveraging the meaning of color saturation to elicit perceptions of environmental compatibility
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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