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The purpose of this study is to examine the interaction effect of perceived psychological distance toward the luxury brand and construal level of the CSR ad content on young consumers' perceptions toward the CSR ad (i.e. ad-brand congruency and perceived trust on CSR ad). This study also investigates the mediation effects of ad-brand congruency and trust on electronic word-of-mouth (eWOM) intention on social media.

A two (low vs great psychological distance) by two (low vs high construal level) between-subjects experimental study is conducted with samples of social media users (n = 570) in the United States. Participants were randomly assigned to view one of the four CSR ads and instructed to respond to questions in the survey. The proposed hypotheses are tested using moderated serial mediation.

The interaction between psychological distance and construal level significantly influences ad-brand congruency. When participants view detailed information content (i.e. low construal level) with an accessible luxury brand (i.e. low psychological distance) in the CSR ad, they are more likely to perceive the ad is congruent with the brand compared to the CSR ad with abstract information content. There is no difference in ad-brand congruency for the aspiration luxury brand according to different content (i.e. low vs great construal level). Importantly, however, for both brands, the results reveal dual roles of the ad-brand congruency which increases eWOM intention directly and indirectly through trust. Findings confirm serial mediation effects of ad-brand congruency and CSR trust on the eWOM intention on social media.

By uncovering the interaction effect of psychological distance and construal level on ad-brand congruency, this study implicates how luxury fashion brands need to differently create CSR ad content. Our findings confirm dual ways of information processing that lead to positive engagement (i.e. eWOM) on social media, particularly among young consumers.

This study explores the role of knowledge management capabilities (KMCs) in enhancing competitive advantage and organisational performance in fashion retailing. Employing the resource-based view (RBV) and knowledge-based view (KBV) perspectives, it investigates the interplay between managing knowledge effectively and fashion products’ complexity. The goal is to provide new insights into optimising KMC for greater agility and success in the fashion retail industry.

The study analysed survey data from 322 US fashion retail professionals using partial least squares structural equation modelling (PLS-SEM).

The results revealed that knowledge infrastructure capability enhanced both competitive advantage and organisational performance significantly. In contrast, knowledge process capability did not significantly affect competitive advantage, it improved organisational performance. Importantly, product complexity moderated the relationship between competitive advantage and organisational performance negatively.

This study underscores the necessity for retailers in the fashion industry to enhance their KMC to bolster competitive advantage and organisational performance, while it also acknowledges product complexity’s effect on these strategies. These insights offer actionable guidance for industry leaders to optimise knowledge management to navigate the rapidly evolving retail landscape.

This research offers novel insights into the interplay of product complexity and KMC in fashion retail and highlights the unique effects on competitive advantage and organisational performance valuable for both academia and industry.

The purpose of this study is to examine the effect of craftsmanship content and social distance embedded in the craftsmanship content on luxury brand experiences, perceived luxury and brand purchase intentions using a social media video.

The authors conducted a single factor (close social distance vs great social distance vs control group) using a between-subjects experimental design. The social distance was manipulated by the presence (i.e. a close social distance) or absence (i.e. a great social distance) of a consumer scene in a craftsmanship video shown on social media. The control group watched a video with non-craftsmanship content. Then, brand experience, perceived luxury and purchase intentions were measured.

The results showed that the control group perceived less luxury and had lower brand experiences and purchase intentions than the group that watched the video without a consumer scene. In addition, participants who watched the craftsmanship video that included a consumer scene (i.e. a close social distance) had stronger brand experiences than those who watched the video without the scene (i.e. a great social distance). The brand experience increased perceived luxury and purchase intentions.

By manipulating social distance and providing better brand experiences in social media, experiential marketing allows luxury brands to reconcile two apparently incompatible goals: maintaining an exclusive image while increasing purchase intentions.

As one of the largest industries in the global economy, the fashion industry has emphasized the symbolic and aspirational features of its products while maximizing the efficiency of its manufacturing processes. However, the labor-intensive and competitive nature of the industry has meant that brand moral transgressions often occur. This study aims to understand the role of moral emotions and concerns (i.e. perceived spillover) caused by different moral transgressions and explain consumer anti-brand behaviors (i.e. negative word of mouth [WOM] and patronage cessation).

Structural equation modeling was conducted to examine group differences (ethical vs social transgressions) in Study 1 (n = 584). Also, the moderation effect of moral disengagement was examined in Study 2 (n = 324).

The results indicate that, for ethical transgressions, both moral emotions and perceived spillovers explain negative behaviors while moral emotions alone explain negative WOM on social media for social transgressions. Additionally, for social transgressions, the results of Study 2 indicate a negative interaction effect of moral emotions and moral disengagement on anti-brand behavior of patronage cessation.

Based on the literature’s theoretical approach to moral crises, this paper examines the emotional and cognitive reactions of consumers to the fashion industry’s moral transgressions.

Social recommendation has been recognized as a kind of e-commerce with large potential, but how social recommendations influence consumer decisions is still unclear. This paper aims to investigate how recommendations from different social ties influence consumers’ purchase intentions through both behavior and brain activity.

Utilizing behavioral (N = 70) and electroencephalogram (EEG) (N = 49) experiments, this study explored participants’ behavior and brain responses after being recommended by different social ties. The data were analyzed using statistical inference and event-related potential (ERP) analysis.

Behavioral results show that social tie strength positively impacts purchase intention, which can be fitted by a logarithmic model. Moreover, recommender-to-customer similarity and product affect mediate the effect of tie strength on purchase intention serially. EEG findings show that recommendations from weak tie strength elicit larger N100, N200 and P300 amplitudes than those from strong tie strength. These results imply that weak tie strength may motivate individuals to recruit more mental resources in social recommendation, including unconscious processing of consumer attention and conscious processing of cognitive conflict and negative emotion.

This study considers the effects of continuous social ties on purchase intention and models them mathematically, exploring the intrinsic mechanisms by which strong and weak ties influence purchase intentions through recommender-to-customer similarity and product affect, contributing to the applications of the stimulus-organism-response (SOR) model in the field of social recommendation. Furthermore, our study adopting EEG techniques bridges the gap of relying solely on self-report by providing an avenue to obtain relatively objective findings about the consumers’ early-occurred (unconscious) attentional responses and late-occurred (conscious) cognitive and emotional responses in purchase decisions.

The purpose of this paper is to analyze long-term institutional causes and consequences of preference falsification by studying the evolution of China’s patriarchal clan system.

The historic study shows that although the clan system was abolished in the Qin dynasty, it re-emerged among high-standing families in the Han dynasty and spread to common people after the Tang dynasty.

The author submits that the clan system was an institutional response to the preference falsification problem that arose due to the dictatorial political institutions first established in the Qin dynasty. It helped people to take collective action by themselves and also opened a back door to influence government decisions. A piece of clear evidence is the co-evolution of the clan system and government personnel system.

In this sense, the clan system probably also helped to prolong the political institutions for 2,000 years.

This is the first institutional study on the clan system in China.

Climate change and global warming have increased concerns over the influence of weather on workers' health and productivity in construction projects. A significant number of studies can be found in the weather and productivity interplay area. The purpose of this paper is to review the recently published papers in this area to explore the trends of research and topics discussed and to determine knowledge gaps and directions for future research.

Recent papers published between 2014 and 2019 were synthesized, reviewed and analyzed using bibliometric and text mining analysis.

The results revealed the trends of publications, the main authors contributed to this area and countries that attracted most of the research papers. Based on the review, this study presented a taxonomy of studies consisting of seven clusters, namely productivity management, seasons, weather factors, participants' conditions, uniform and clothing, work time and health and safety.

This review paper sheds a light into the topics discussed in this area, the interrelationship between the topics and the significant topics that should be continued in the future. Global warming concerns necessitate the need for more studies in tropical countries and countries that are expected to expose to high temperatures and heat stress, which greatly impact labor productivity. The paper highlighted the need to understand how weather influences workers' psychological conditions and subsequently their productivity.

The purpose of this paper is to explore the heat transfer and establish a heat transfer model of an extravehicular liquid cooling garment based on a thermal manikin covered with soft simulated skin.

The thermal manikin applied in this study was a copper manikin, typical of which was its soft simulated skin – a newly thermoplastic elastomer material. Based on this novel thermal manikin, the heat transfer analysis of an extravehicular liquid cooling garment was performed. To satisfy the practical engineering application and simplify analysis, the hypotheses were proposed, and then the heat transfer model was established by heat transfer theory, in which the heat exchange equation of the liquid cooling garment with the thermal manikin and with the air layer, and the garment's total heat dissipating capacity were derived.

The verification experiments performed in a climatic chamber by a thermal manikin wearing a liquid cooling garment at different surface temperatures of the thermal manikin show that the modeling value fits well with the experimental value, and the heat transfer model of the liquid cooling garment has a high accuracy. Meanwhile, the relationship between the heat‐dissipating capacity of the liquid cooling garment and its design parameters – inlet temperature and liquid velocity – is suggested as being based on the heat transfer model.

The paper shows that it is an effective method to control the heat‐dissipating capacity of a liquid cooling garment by changing the inlet temperature to some degree, but not by changing the liquid velocity.

Carbon nanotube (CNT) thread ' s piezoresisitive strain sensing properties of gauge factor, linearity, hysteresis, consistency, temperature stability, and bandwidth were evaluated. This evaluation was motivated by little information in literature combined with the need to understand these properties for commercial use. The paper aims to discuss these issues.

The study here analyzes as-spun CNT thread built into unidirectional glass fiber composites and mounted onto aluminium beams with epoxy to evaluate strain sensing properties. The analyses utilize known sensor parameter definitions to quantify sensor performance.

CNT thread can provide reliable and robust strain measurements for composite and metallic structures. The strain sensor performance meets or exceeds other strain sensors in performance.

CNT thread ' s piezoresistive effect is not well understood in terms of Poisson ' s ratio and nanotube contact. More research needs to be carried out to better understand this relationship and optimize the sensor thread.

CNT thread can be utilized as a robust strain sensor for composite and metallic structures. It can also be built into composite materials for embedded strain and damage monitoring. By monitoring composite materials with the sensor thread, reliability will significantly increase. In turn, this will lower safety factors and revolutionize inspection methods for composite materials.

This paper is the first to comprehensively evaluate key strain sensing properties of CNT thread. With all this strain sensor information in one spot, this should help expedite the use of this technology in other research and industry.

The purpose of this paper is to reduce the acoustic noise of helicopter ducted tail rotor.

To predict the noise accurately, a thin-body boundary element method (BEM)/Ffowcs Williams–Hawkings method is developed in this paper. It is a hybrid method combining the BEM with computational aeroacoustics and can be used efficiently to predict the propagation of sound wave in the duct.

Compared with the experimental results, the proposed method of acoustic noise is rather desirable.

Then several geometry parameters are modified to investigate the noise reduction of ducted tail rotor by using the numerical prediction method.

The aerodynamic and acoustic performance of different modification tasks is discussed. These results demonstrate the validity of design parameters modification of ducted tail rotor in acoustic noise reduction.