The need of research is often a complex issue. The standardization of methodologies, deeply rooted in the scientific method, has allowed humanity to progress. Since the fashion industry represents one of the most problematic industries globally, it is paramount to investigate the handicaps of fashion research practice. The goal of this systematic review is to outline the most used methodologies in the fashion research field that are being explored to achieve sustainability goals. The findings highlight the fragmentation of the literature in fashion research methodologies in relation to sustainability. Interviews and case studies are the most used methods while other less conventional, like Social Life Cycle Assessment, have been also tried. Finally, it is tested how ChatGPT can discuss and inform future routes to incorporate the findings. Together, this work reveals the handicaps of the fashion research methodologies and show an example on how ChatGPT can be assessed to help the fashion practitioners define research plans to achieve sustainable goals.

The research was about Hélène Junot, the major character in the SINS. Hélène had a very dreadful life when she had to witness Maman, who was expecting a baby, tortured by the Nazis. Her older sister, Catharine was raped and her baby sister, Marie was burnt on her belly. The feminist psychological approach was applied in the research to find about Hélène's background for searching the two Nazis who had tortured Maman, Catharine, and Marie. The result of the research showed that after Hélène met with Schmidt, she became helpless since Schmidt was no longer a whole man. His two legs and genitals were gone after he stepped on a mine in Russia. She made a deal with Karl von Eiderfeld, the albino, by making him one of her stockholders in Hélène Junot International Inc., unless von Eiderfeld preferred to have his document as a war criminal handed to the Israelis authorities. Hélène had a natural talent for fashion and dreamed that one day she would be a fashion magazine publisher. She became Madame Dupré's assistant. It was Madame Dupré who had encouraged her to go to Paris to start her carrier. During an art exhibition, she met Odile Joly, a prominent designer who was attracted to her beauty and manners. When working as Madame Dupré's seamstress, Hélène met Hubert de Legér who had fallen in love with her at first sight and became obsessed by her beauty. Later, Hélène became Comte de Legér’s mistress (Hubert’s father) and was saving money by selling all the jewelry that the Comte had given her to start looking for the two Nazis and fulfilling her childhood dream. Hélène was later married to Stanislaw Kowalsky, a distinguished concert pianist, but the marriage only lasts a few months. Hubert de Legér had murdered Stanislaw out of jealousy and hatred. From the money she got from Comte de Legér and Stanislaw, Hélène was able to trace the two Nazis and established Hélène Junot International Inc. She then married Siegfred Bavier, but again it did not last long. Siegfried died in his office. Despite her success in finding the two Nazis, Hélène was not content. Her life became complete and whole after she met Nigel Somerset, who later married her.

Fashion industry is the second most polluting industry in the world representing a 2 trillion dollars and growing valuation (Pal, 2017). This dual context makes its challenges hard to address. From one side, fashion design education and practice systems have been perpetuating an industrial-focused approach which relies mostly in the economic improvement through fast cycles of product development (Pal, 2017). On the other side, fashion industry has also been closed to either multidisciplinary and transdisciplinary initiatives outside the scope of the artistic disciplines. Therefore, innovative approaches are needed to solve fashion industrial challenges. One of the most promising fields to tackle fashion current environment and technological problems is microbiology (Mazzoto et al., 2021). During the past 50 years, microbiology has played a vital role in solving human grand challenges in health, agriculture, food, and waste management sectors, and it also represents an opportunity for fashion industry as well. Microbiology biotechnological potential for the fashion industry relies mostly on the improvement of toxic waste bioremediation and the development of novel biomaterials and biomolecules. Moreover, the emergent field of synthetic biology is expanding the tools and approaches available, and they can already be seen in the development of engineered living materials that have functional properties (Mazzoto et al., 2021). Despite the urgent need for change, there is still a long way until a more sustainable fashion industry is achieved. Therefore, microbiological research and innovation need maturation to be able to scale-up and reach a global impact for tackling fashion industrial problems.

As a mediator variable, self-confidence is one of the most effective elements of the decision-making process of consumer behaviour. This research has studied the effects of different aspects of consuming fashion on the self-confidence and behaviour of consumers in Tehran’s clothing market. This study has considered the acceptance of new products, interest in mode and fashion, utilitarianism, and personal taste in its analysis. This research aims to understand the fashion buying behaviour amongst Iranian consumers in consideration of their attitude towards self-confidence and aspects of fashion consumption. The statistic sample is 400 consumers from Tehran’s clothing market who have been chosen based on the random availability procedure. The primary tool in this research was a questionary used to testify the assumptions and a model fit created by using structural equations and factor analysis. This research showed that the interest in mode and fashion, personal taste, utilitarianism, and new products positively impact self-confidence. In addition, the positive impact of self-confidence on fashion buying behaviour was confirmed.

How the subculture and marginalized community have become the leading sectors in the egalitarian and inclusive creative economy is a growing issue and still needs elaboration. One of the subculture phenomena that happened recently in one of Southeast Asia's countries is known as Citayam Pop-up and Makeshift Fashion Week (CFW). Then this paper aims to elaborate on how the CFW can contribute and play a significant role in the development of an egalitarian and inclusive creative economy. The current CFW was not developed instantly, yet it is through the complexities of push and pull factors that are very typical among SE Asian marginalized people that led to the onset of SE Asian subculture, particularly among the youth. Driven by finding their self-identity, wanting to belong, and combined with economic, family, and peer pressures, this group of suburban youth, at the beginning, find a corner of a city in the middle of the business district as a medium to express their identity in the form of CFW. As a result and in lieu of growing discourses, the CFW has boosted local economic growth, and the adolescents who participated in the CFW have also received endorsement from a startup business for marketing certain teen products. In the long term, the mutual relationships created can lead to job opportunities

Consumer, as one of the vital stakeholders of fashion supply chain, has a significant role to play to transition fashion industry into sustainable direction. From purchasing and care practice to donation and disposal, every step of their decision has impact on the environment. Various internal and external variables, including culture, custom, value, belief, norm and assumption, economy, gender, and education etc. influence forming that decision. The result of the decision not only directly impacts he environment and society, but also consumer culture and future business opportunity. This study synthesizes a wide spectrum of consumer behavior related to clothing consumption and associated environmental impact. Building on the synthesis, a holistic discussion is offered which can provide relevant behavioral guideline to consumers as well as other stakeholders.

The rapid growth of virtual reality (VR) and augmented reality (AR) services in various industries has stimulated innovation. This study proposes a research framework and theoretical model based on self-determination theory (SDT) to examine consumers’ purchase intentions for VR and AR service technologies. The research scope includes fashion brands that use VR and AR service technologies. The study employs in-depth interviews to identify the key drivers of VR and AR technologies for fashion brands. The research design uses an online survey of 675 fashion brand consumers to collect questionnaire data employing structural equation modeling (SEM) and fuzzy set qualitative comparative analysis fuzzy-set qualitative comparative analysis (fsQCA) to test the research hypotheses and answer the research questions. This study contributes to understanding consumer technology and psychological perceptions about implementing fashion brands with VR and AR service technologies for future service design and marketing. The research findings show that perceived value, perceived enjoyment, perceived informativeness, presence, and consumer experience affect purchase intention positively when using AR/VR service technologies. Further, the results highlight that perceived value, enjoyment, and informativeness affect consumer experience. The results of the FsQCA show that the causal conditions of perceived value, perceived enjoyment, perceived informativeness, presence, and consumer experience are sufficient and necessary for higher purchase intention for consumers in the fashion brand context.

Despite extensively investigating the impact of social media on fashion products’ marketing, little evidence is available on how the platforms influence sales prediction. Focusing on Lolita fashion, this study investigates the impact of social media marketing on the sales volume prediction of fashion products. Essentially, we analyzed marketing data, including comments, likes, and shares from the Weibo social platform, to forecast future sales, examine how to enhance profit performance, and make production decisions. Using a quantitative approach, we tested three different prediction models, including multiple regression, decision tree, and XGBoost. The results revealed that increasing comments and decreasing the number of likes could significantly improve the sales volumes of Lolita products. In contrast, shares exerted a less significant impact on sales. Regarding prediction models, XGBoost was found to be the best method. In the fashion industry, social media is a useful tool for forecasting market trend. A limitation of this study is that only one social media platform was used to extract data, which might limit the generalization of the findings.

According to Hofstede’s theory of cultural dimensions, cultures differ in cultural values and norms; values and norms that may influence differences in trendsetting, creative traits and behaviors, and pro-environmental behaviors. Further, because men and women have been socialized within particular cultures, gender differences may exist in trendsetting, creative traits and behaviors, and pro-environmental behaviors. Trendsetters have characteristics that are interrelated with creative traits and behaviors, perhaps inclining them to endorse pro-environmental behaviors. However, the interrelationships among these variables remain unexplored. Thus, the purpose of this study was to examine these three variables among college students in South Korea and the United States, specifically looking at cultural and gender differences. Participants were 225 Korean college students and 221 U.S. college students. Questionnaires included demographic items and scales measuring trendsetting, creative traits and behaviors, and pro-environmental behaviors. Data analyses included descriptive statistics, Cronbach’s alpha reliability, MANOVA, ANOVA and SNK posthoc test. Results show that U.S. (vs Korean) students indicated greater trendsetting and creative traits and behaviors but not greater pro-environmental behaviors. Fashion trendsetting groups in both Korea and the U.S. differed in creative traits and behaviors and pro-environmental behaviors. Among Korean trendsetting groups, reluctant adopters scored lowest on creative traits and behaviors and pro-environmental behaviors. Among U.S. trendsetting groups, trendsetters scored highest on creative traits and behaviors and pro-environmental behaviors; reluctant adopters scored lowest on pro-environmental behaviors. Theoretical and practical implications are provided for researchers and marketers.

The growth of the fаshion industry in Bаndung, which is increаsing every yeаr, if it is not bаlаnced with the аpplicаtion of digitаlizаtion аnd the use of the lаtest technology, it would be very unfortunаte. Аpаrt from the increаse in the number of internet users, the online shopping style by the community is аlso one of the driving forces for the growth of e-commerce, especiаlly in the midst of the current Covid pаndemic situаtion. This study will exаmine the аdoption of e-commerce technology to sell online in the midst of the Covid pаndemic to fаshion industry plаyers in Bаndung using these vаriаbles: effort expectаncy, performаnce expectаncy, fаcilitаting conditions, sociаl influence, existing hаbits, hedonic motivаtion, and also the price vаlue in the UTАUT2 model. So thаt it cаn show how the contribution of the аdoption of e-commerce technology to the behаviourаl intention аnd use behaviour of the fаshion industry consumers in Bаndung. Our research use quаntitаtive approach, cаusаl research/study with Structurаl Equаtion Modeling (SEM) аnаlysis technique using the SMАRTPLS 3.2.9 softwаre. Reseаrchers chose the аccidentаl sаmpling with а totаl of 400 respondents. Аll exogenous vаriаbles аffect behаviourаl intention by 80.9% аnd 54.9% on use behаviour.

This study analyzed the levels of mental workload and the presence of burnout on a sample of fashion retailing workers from Spain and its relationship with the actual Covid-19 pandemic by exploring Covid-19 pandemic predictors of burnout and mental workload. We established a prospective cross-sectional design. Participants (n = 360) answered an online survey including questions about sociodemographic data, perception of Covid-19, CarMen-Q questionnaire (workload), and MBI (burnout syndrome). We obtained data throughout October-November 2020. The results showed that participants exhibit deep concern about the Covid-19 pandemic and its influence at the work level. Although the mental workload was near the middle point of the scale, participants showed moderate to high burnout levels, revealing that the sample is at risk of experiencing higher burnout levels over time as the pandemic and associated economic crisis continue. The multidimensional regression analysis results indicated that environmental changes, work overload, somatic symptoms, insomnia, negative job expectations, and uncertainty constituted significant mental workload predictors. Insomnia, somatic symptoms, and negative job expectations constituted significant predictors for burnout. In conclusion, the uncertainty at work derived from the Covid-19 pandemic is harming the psychological wellbeing of fashion retailing workers in Spain.

Previous studies implied the different behavioral intention formation of a specific object for individuals in different age groups, but few research to Chinese consumers’ sustainable fast fashion behaviour were found considering the enormous amount of consumption and waste of fast fashion products in China. Meanwhile, as a fast developing country, it might be insufficient to conduct research ignoring the consequences of different education level and growing environment among different generations. Thus, to generate in-depth and heuristic Chinese consumers information, this study developed proposed theoretical framework (TORA) based on research by Fishbein and Ajzen (1975), while the validity among Chinese consumers was tested as well. Following the TORA model, this study aims to investigate if consumers’ age will moderate the relationship between attitude and intention, and the relationship between subjective norms to behavioral intention. Through structural equation modelling in AMOS, it was found that the model has a well fit to large sample of Chinese consumers, while the moderation effect of age was not significant in the whole sample. Further hierarchical regression analysis conducted in SPSS and Process was able to locate the moderation effect of if divide the consumers into groups by age. Which is, age is significantly and positively moderating the path subjective norms to intention in younger generation (18-25), but significantly positive moderating attitude to intention in consumers aged 26-39. Implications in marketing and to policy makers are discussed at the end of this research.

The rapid penetration of social media has been redefining every facet of the old marketing and customer engagement tactics, not only for the low-end and mass products but also for luxury brands. In this context, brands are dealing with the challenge of keeping the balance between using mass marketing strategies concurrent with accentuating the exclusivity of their offerings. Social media can be considered a boon if brands employ them to reach the right audience and use the right platform by incorporating the right content. In this work, we propose a sector-specific, integrated, and holistic investigation of the social media strategies of luxury brands, together with the impact they generate in terms of the engagement level of the users as an indicator of their success. We provide empirical validation of the method in the sector of luxury fashion brands in the Italian market, providing qualitative and quantitative analysis of the content shared on social media, considering the type, timing, and modality of the sharing. We evaluate consumer-brand engagement in different contexts, including important live events in the field.

This study investigated how fashion is expressed on social media platforms from a media ecology perspective of sustainable digital space-time, as society evolves into a digital ecosystem. Media ecology concerns how the media environment transforms human experience and impacts society and culture. A theoretical review of media ecology was conducted, and the Instagram account of global fashion influencer Susanna Lau (@susiebubble) was analyzed as a case study. In total, 300 fashion-related images were collected out of 5,817 uploaded to Lau’s Instagram between May 2012 and June 2019. These were analyzed—alongside their titles, content, hashtags, and commentaries—for visual phenomena conveying everyday divisions between spatiality and temporality, public and private, real and virtual, and geography and culture, which demonstrate ambiguous boundaries. The analysis revealed that the images reflect nuances of digital time and space as they emerge in social media, and represent a nonboundary of style across the binaries of work and leisure, public and private, real and virtual, and geography and culture—signifying a sustainable digital lifestyle. These findings illustrate how our changing daily lives are visualized through fashion on a sustainable digital platform, and suggest ongoing research into the practical impact of technological advances on fashion.

During the last decade, smart materials have increasingly impacted on several niches, among which that of one-off/limited edition experimental fashion. Thanks to their performativity, due to the implementation of Smart Materials Systems, they have reached indeed catwalks as well as museums and galleries. As boundaries between what-is-art and what traditionally was not supposed to be art are now turning into osmotic membranes, zooming on how smart materials are highly contributing to outline the new creative landscape can provide with interesting and compelling issues. Introducing three different areas of experimental fashion, named Multi-sensory dresses, Empathic dresses, and Bio-smart dresses and accessories, respectively covering the world of in-Lab experiments and design collaborations in relation to the application of advanced smart materials systems, the article discuss some of the implications in term of Design Thinking and Design Aesthetics.