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This study empirically investigates whether and how boycott attitudes and subjective norms influence the impact of the perceived behavioral control of boycotts on boycott intention.

To test our hypotheses, we perform a hierarchical linear regression analysis using data from Japanese (n = 500) and South Koreans (n = 571).

Boycott attitudes strengthen the positive effect of perceived behavioral control on boycott intentions for Japanese and South Koreans. Contrary to our assumptions, while the direct impact of perceived behavioral control on boycott intention is not significant, there is a negative moderating effect of subjective norms for Japanese consumers.

We argue that when perceived behavioral control is evident in boycotts, consumers listen more to themselves than to others. Our cross-national analysis of actual boycott campaigns is the first study on boycott research to offer implications for the interaction effects among the three key antecedents of psychological motivation factors in the theory of planned behavior.

Drawing on the theory of planned behavior, this study aims to conduct an empirical investigation on whether and how psychological and motivational factors (i.e. attitudes, subjective norms and perceived behavioral control) affect actual purchase behavior. It does so through the lens of boycott intention and gender differences in the context of boycott campaigns.

Focusing on the South Korean boycott campaign against Japanese companies, this study employs a structural equation model using survey data from 571 South Korean consumers to test the hypotheses.

While the three psychological and motivational factors inhibit all three dimensions of actual purchase behavior (i.e. purchase frequency, number of items purchased and purchase amount) through increased boycott intention, perceived behavioral control of boycotts directly curb South Korean consumers from purchasing Japanese products. Additionally, the effect of boycott intention on overall actual purchase behavior is stronger for men than for women, suggesting a moderating role of gender.

To mitigate the devastating impact of unexpected consumers' boycott campaigns, this study advises that global brand management and attractive online channels are essential while considering the differential impact of gender.

By conceptualizing three dimensions of actual purchase behavior capturing behavioral changes before and after a boycott, this study highlights the linkages between psychological and motivational factors, intentions and behaviors. Additionally, this study attempts to clarify the previously conflicting evidence on gender's role in boycott campaigns while taking a culture-inclusive psychologies approach to gender.

By controlling the value of influencing factors of raglan sleeves, the authors can balance the comfort and aesthetics of raglan sleeves and get the best parameter value.

Under the condition that the slope of sleeve midline is 45 and the height of sleeve mountain is 15.00 cm, different armhole depth and connection point between the body and the sleeve are combined, and the influence of these two on the comfort and aesthetics of clothing is studied by CLO software.

The relationship between sleeve fat (Y), armhole depth drop (X₁) and the distance (X₂) between the connection point between the body and the sleeve and the center line is Y = 12.985 + 1.240·X₁ + 0.895·X₂. When the armhole drop is 5.00 cm and the connection point is 1 cm closer to the center line, the comfort and aesthetics can be better balanced.

These data can provide reference for future research on raglan sleeves.

Electrical impedance tomography (EIT) is a technique for reconstructing the conductivity distribution by injecting currents at the boundary of a subject and measuring the resulting changes in voltage. Image reconstruction for EIT is a nonlinear problem. A generalized inverse operator is usually ill-posed and ill-conditioned. Therefore, the solutions for EIT are not unique and highly sensitive to the measurement noise.

This paper develops a novel image reconstruction algorithm for EIT based on patch-based sparse representation. The sparsifying dictionary optimization and image reconstruction are performed alternately. Two patch-based sparsity, namely, square-patch sparsity and column-patch sparsity, are discussed and compared with the global sparsity.

Both simulation and experimental results indicate that the patch based sparsity method can improve the quality of image reconstruction and tolerate a relatively high level of noise in the measured voltages.

EIT image is reconstructed based on patch-based sparse representation. Square-patch sparsity and column-patch sparsity are proposed and compared. Sparse dictionary optimization and image reconstruction are performed alternately. The new method tolerates a relatively high level of noise in measured voltages.