Exploring garment rental as a sustainable business model in the fashion industry: Does contamination impact the consumption experience?

Fashion has evolved into an unsustainable industry; fast fashion, which has a low‐cost, high‐volume focus is the dominant business strategy, resulting in vast resource use and environmental externalities. The purpose of this research is to support the transition to a more circular industry through exploring the opportunity for short‐term garment rental as a part of a product‐service shift. A number of consumer barriers exist to the adoption of novel business models. Included is the issue of contamination; literature suggests that an item may be considered contaminated when another person or object interacts with it. This poses a fundamental conflict to the garment rental proposition. This study furthers understanding of contamination through a qualitative content analysis of 566 online reviews of two existing fashion rental providers. This enables insight into the actual customer experience, revealing a range of contamination incidences—most commonly visual and odour‐related. The impact of a contamination event on the customer experience was overwhelmingly recorded as negative, at worst resulting in total rejection of the entire rental concept. The analysis suggests that contamination presents a psychological and practical obstacle to successful rental. A range of managerial implications were raised with corresponding recommendations offered to mitigate and reduce contamination across the value chain. The study highlights that trade‐offs exist between product quality and commercial profitability. Findings suggest that rental is likely to be a challenging business model, raising the need for further academic and practitioner research to augment the findings.     

Social anxiety and perceptions of likeability by peers in children

The current study aimed to investigate the discrepancy between self-reported and peer-reported likeability among children, and the relation with social anxiety, depression, and social support. In total, 532 children between 7 and 12 years completed questionnaires about social anxiety symptoms, depressive symptoms, and social support, estimated their own likeability, and indicated how much they liked their classmates. Children with higher levels of social anxiety or depression overestimated their likeability less or even underestimated their likeability. Social anxiety symptoms, but not depressive symptoms, were significant predictors of the discrepancy. Social support was positively related to likeability and negatively related to social anxiety, but did not moderate the association between social anxiety symptoms and perception accuracy of likeability. These results are in line with cognitive theories of childhood social anxiety, and they stress the importance of using multi-informant measures when studying the relation between social anxiety and social functioning in children.     

The importance of ‘mass’ in line drawings of faces

Previous research (Davies, Ellis and Shepherd, 1978; Rhodes, Brennan and Carey, 1987) has shown that accurate line drawings of familiar faces are identified rather poorly. However, artists can produce lifelike portraits with pen and ink, and Pearson and Robinson (1985) described an automatic method for producing computer-drawn sketches (‘cartoons’) of faces which appear very similar to those produced by a human artist. In this paper we show that subjects can identify famous faces depicted in such computer-drawn ‘cartoons’ almost as well as full grey-scale images. The cartoon algorithm comprises two components. One component draws lines at the locations of intensity changes corresponding to luminance valleys and edges (the ‘valledge’ detector). The other component applies a ‘threshold’ to the original intensity distribution, and replaces any area darker than threshold with black. Thus the full cartoon contains both ‘line’ and ‘mass’. Neither the valledges nor the threshold components alone were as well identified as full cartoons containing both components. The results suggest that the addition of the threshold component adds significantly to the identifiability of line drawings of faces.     

A comparison of the classification capabilities of the 1-dimensional kohonen neural network with two pratitioning and three hierarchical cluster analysis algorithms

Neural Network models are commonly used for cluster analysis in engineering, computational neuroscience, and the biological sciences, although they are rarely used in the social sciences. In this study we compare the classification capabilities of the 1-dimensional Kohonen neural network with two partitioning (Hartigan and Späthk-means) and three hierarchical (Ward's, complete linkage, and average linkage) cluster methods in 2,580 data sets with known cluster structure. Overall, the performance of the Kohonen networks was similar to, or better than, the performance of the other methods.     

Prime time advertisements: Repetition priming from faces seen on subject recruitment posters

Repetition priming is defined as a gain in item recognition after previous exposure. Repetition priming of face recognition has been shown to last for several months, despite contamination by everyday exposure to both experimental and control faces in the interval. Here we show that gains in face recognition in the laboratory are found from faces initially seen in a rather different context— on subject recruitment posters, even when the advertisements make no specific mention of experiments involving face recognition. The priming was greatest when identical pictures were shown in the posters and in the test phase, although different views of faces did give significant priming in one study. Follow-up studies revealed poor explicit memory for the faces shown on the posters. The results of these experiments are used to develop a model in which repetition priming reflects the process of updating representations of familiar faces.     

The organization of verbs of knowing: Evidence for cultural commonality and variation in theory of mind

Cross-cultural commonality and variation in folk theories of knowing were studied by examining the organization of verbs of knowing in German and Japanese adults. German and Japanese adults performed one of two tasks: a similarity judgment task and an attribute rating task. Organizational structure was assessed for the similarity judgment task using multidimensional scaling and additive similarity tree analyses. The attribute rating task was used to describe the characteristics that organized the dimensions and clusters emerging from the scaling solutions. The folk theory of mind displayed was an information processing model with constructive components, although the constructive aspects were more salient for the Germans than for the Japanese.     

Description and Immediate Impacts of a Preventive Intervention for Conduct Problems

A population-based randomized intervention trial for the prevention of conduct problems (i.e., oppositional defiant disorder and conduct disorder) is described. The LIFT (Linking the Interests of Families and Teachers) intervention was designed for all first- and fifth-grade elementary school boys and girls and their families living in at-risk neighborhoods characterized by high rates of juvenile delinquency. The 10-week intervention strategy was carefully targeted at proximal and malleable antecedents in three social domains that were identified by a developmental model of conduct problems. From 12 elementary schools, 671 first and fifth graders and their families participated either in the theory-based universal preventive intervention or in a control condition. The intervention consisted of parent training, a classroom-based social skills program, a playground behavioral program, and systematic communication between teachers and parents. A multiple measure assessment strategy was used to evaluate participant satisfaction and participation, fidelity of implementation, and the immediate impacts of the program on targeted antecedents.     

Developing algorithms to enhance the sensitivity of cancellation tests of visuospatial neglect

We describe a set of algorithms that enhance the sensitivity of cancellation tests used in assessing visuospatial neglect. The algorithms can be readily implemented on a computer and can provide temporal and nontemporal data on strategies used during cancellation. We also present preliminary results from a group of 68 right-hemisphere brain-damaged patients and 12 age-matched control participants, which demonstrate the clinical significance of the measures we have defined.