Coping with guilt and shame in the impulse buying context

In this study we investigate how consumers cope with guilt and shame in the impulse buying context. Based on recent psychological research on guilt and shame, we posit that the intensity of shame experienced after buying on impulse will be positively associated with the use of avoidant coping strategies, whereas the intensity of guilt experienced will be positively associated with the use of problem-focused coping strategies. Furthermore, we predict that the use of avoidant coping strategies will be linked with more frequent depressive symptoms and worse financial well-being. These hypotheses were generally supported in an on-line survey of 274 respondents who had recently made an impulse purchase and reported the emotions and coping strategies associated with the event.     

Spatial heterogeneity in drinking water sources in the Greater Accra Metropolitan Area (GAMA), Ghana

Population and Environment - Universal access to safe drinking water is essential to population health and well-being, as recognized in the Sustainable Development Goals (SDG). To develop targeted...     

Rapid Response to a Conjunctivitis Outbreak: The Use of Technology to Leverage Information

Abstract

When an outbreak of conjunctivitis was identified at a rural New England college early in 2002, the college health center medical staff used various information management and communication systems to alert the community to the situation. They called upon the state Department of Human Services and the Centers for Disease Control and Prevention to help them understand and manage the outbreak. Technological systems already in place at the college allowed for rapid collection of data by means of a survey delivered over the Internet and a carriage study facilitated by a Web-based appointment and communication system. Within days, the data were collected and analyzed and an immediate response to contain the outbreak was launched.     

Rapid response to a conjunctivitis outbreak: the use of technology to leverage information

When an outbreak of conjunctivitis was identified at a rural New England college early in 2002, the college health center medical staff used various information management and communication systems to alert the community to the situation. They called upon the state Department of Human Services and the Centers for Disease Control and Prevention to help them understand and manage the outbreak. Technological systems already in place at the college allowed for rapid collection of data by means of a survey delivered over the Internet and a carriage study facilitated by a Web-based appointment and communication system. Within days, the data were collected and analyzed and an immediate response to contain the outbreak was launched.     

An Eye Tracking Investigation of Color–Location Binding in Infants' Visual Short‐Term Memory

Two experiments examined 8‐ and 10‐month‐old infants' (N = 71) binding of object identity (color) and location information in visual short‐term memory (VSTM) using a one‐shot change detection task. Building on previous work using the simultaneous streams change detection task, we confirmed that 8‐ and 10‐month‐old infants are sensitive to changes in binding between identity and location in VSTM. Further, we demonstrated that infants recognize specifically what changed in these events. Thus, infants' VSTM for binding is robust and can be observed in different procedures and with different stimuli.     

Properties of adaptive clinical trial signature design in the presence of gene and gene-treatment interaction

Traditional phase III clinical trials are powered to detect an overall treatment effect. However, it has increasingly been shown that many treatments are effective only for a subset of a population. The adaptive signature design uses genomic/proteomic information to prospectively predict a subset of patients more sensitive to treatment. Tests for overall treatment effect and for treatment effect in the predicted subset are conducted. In this work properties of the adaptive signature design are investigated through simulation. It was found that models which excluded expression main effect terms had higher empirical power than models which included them.     

Warriors in suits: A Bourdieusian perspective on the construction and practice of military masculinity of Korean men

Within masculinity scholarship, there is a gap about how masculinity carries over from a broad social context to an organizational context. This article explores the construction and capitalization of masculinity through a series of experiences in social fields such as the military and college, and the transfer of militaristic masculinity into the workplace. Drawing on grounded theory methods, we conducted in‐depth interviews with 20 Korean men who completed their mandatory two‐year military service and subsequently joined large corporations in Korea. We uncovered a four‐phase model that depicts how Korean men's masculinity is constructed during military service and transferred to their organizational positions characterizing them as warriors in suits. Informed by a Bourdieusian perspective, this study shows how masculinities are constructed, reinforced and legitimatized by the structural influences of society, and how masculinity becomes the desired image of men at work, which perpetuates the gender and power gaps among organizational members.     

Semiparametric multinomial logit models for analysing consumer choice behaviour

The multinomial logit model (MNL) is one of the most frequently used statistical models in marketing applications. It allows one to relate an unordered categorical response variable, for example representing the choice of a brand, to a vector of covariates such as the price of the brand or variables characterising the consumer. In its classical form, all covariates enter in strictly parametric, linear form into the utility function of the MNL model. In this paper, we introduce semiparametric extensions, where smooth effects of continuous covariates are modelled by penalised splines. A mixed model representation of these penalised splines is employed to obtain estimates of the corresponding smoothing parameters, leading to a fully automated estimation procedure. To validate semiparametric models against parametric models, we utilise different scoring rules as well as predicted market share and compare parametric and semiparametric approaches for a number of brand choice data sets.