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The purpose of this study was to examine green practices implemented among fashion manufacturers and identify factors that drive the adoption of those practices, specifically focusing on a company’s cultural innovativeness and the perceived benefits of green innovations. An online survey was created containing both open-ended and multiple-choice questions using Likert scales. Data were gathered from 29 fashion manufacturers that were identified by the Google search engine and then approached. Qualitative data were analyzed to obtain insights into fashion manufacturers’ green practices and a cluster analysis was conducted to categorize companies into distinct groups based on their level of green product innovations and green process innovations. Our findings suggest that the adoption of green practices was related to a company’s internal characteristics such as cultural innovativeness and social responsibility perceptions. Perceived benefits from green practices were not a sufficient motivator for adopting those practices. It is important to examine manufacturers’ perceptions of becoming more involved in green practices because they have great potential to make a positive impact on the mainstream industry and appeal to a wider market audience.

A large numbers of studies have supported the crucial role of brand love in consumer–brand relationships; however, research that examines fashion brand love and its relationship with cognitive aspects and self-concept congruency remains limited. Therefore, the purpose of this study was to identify important factors that are associated with fashion brand love. A questionnaire in which participants provided self-reported responses was created to measure the constructs and structural equation modeling (SEM) and independent sample t-tests were conducted to test the hypothesized relationships. Our results indicated that consumers who know more about fashion brands are more likely to have stronger emotional attachment to their favorite fashion brand and brand love, in turn, has a significant effect on performing brand-loyal behaviors. Furthermore, our results demonstrated that fashion brand love is strongly associated with actual and ideal self-congruity. These findings suggest that it is important for fashion brands to focus on developing affective relationships with consumers to gain brand loyalty and one way to achieve this goal is to enhance brand awareness or knowledge among consumers. Fashion brands also need to invest in activities that aim to deliver a brand image congruent with actual and ideal self-concepts of the target market.

This study presents a novel approach to bone age assessment (BAA) using a multi-view, multi-task classification model based on the Sauvegrain method. A straightforward solution to automating the Sauvegrain method, which assesses a maturity score for each landmark in the elbow and predicts the bone age, is to train classifiers independently to score each region of interest (RoI), but this approach limits the accessible information to local morphologies and increases computational costs. As a result, this work proposes a self-accumulative vision transformer (SAT) that mitigates anisotropic behavior, which usually occurs in multi-view, multi-task problems and limits the effectiveness of a vision transformer, by applying token replay and regional attention bias. A number of experiments show that SAT successfully exploits the relationships between landmarks and learns global morphological features, resulting in a mean absolute error of BAA that is 0.11 lower than that of the previous work. Additionally, the proposed SAT has four times reduced parameters than an ensemble of individual classifiers of the previous work. Lastly, this work also provides informative implications for clinical practice, improving the accuracy and efficiency of BAA in diagnosing abnormal growth in adolescents.

In green advertising, the message focus is often associated with one of two benefits: the self-benefit focus and the other-benefit focus. However, determining which of the two benefit foci is more effective in generating positive consumer responses is still debatable. To explain the complexity of the mixed findings, we have explored advertising appeals that influence the perception of the environmental performance of the product, or green performance perception. Specifically, we have examined the self- and other-benefit types with three performance-based appeals (before, after, and before–after appeals) in relation to perceived green performance and brand attitudes. A 2 × 3 ANOVA of perceived green performance with data from 390 participants reveals a significant two-way interaction. Results from comparing the three types of performance-based appeals indicate that, regardless of the beneficiary foci type, the before–after appeal works best in generating greater perceived green performance, which, in turn, leads to positive brand attitudes. When promoting the green benefit of others, we recommend using before-appeals to enhance a product’s green performance perceptions and after-appeals for self-benefit-focused advertisements; if not, before–after appeals are used.

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