Consumption of traditional handicraft fashion: Motivations, intentions and behaviours of Chinese consumers

Xue, Xing; Caiguo, XU; Li, Yi; Chenxia, Mao

doi:10.1016/j.clrc.2021.100046

Cited by 6 publications

(6 citation statements)

References 55 publications

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“…This paper demonstrates that scientific design is the present and future of the sustainable development of traditional handicrafts, and presents five dynamic thinking methods and design strategies that provide the most direct method and theoretical foundation for the sustainable development of traditional handicrafts. According to Xue et al [ 20 ], who investigated a unique fashion consumption theory of traditional handicraft mode based on the mature theories of planned behavior and self-concept theory, a new area for the study of slow fashion consumption has now been opened up. In order to improve product planning and marketing for traditional fashion businesses, the key drivers of the resurrection of the Chinese traditional handicraft industry are identified and elaborated.…”

Section: Related Workmentioning

confidence: 99%

[Retracted] Artificial Intelligence Technology Driven Environmental Factors Extraction and Analysis Method in Traditional Clothing Handicraft

Tao

Guo

2022

Journal of Environmental and Public Health

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The application of artificial intelligence (AI) technology in the field of clothes can provide a good development mode and system under the social context of AI technology development. AI provides help for the development of intelligent clothing. Intelligent clothing is a high-tech product that integrates intelligent technology and clothing. It combines cutting-edge technologies in electronic information technology, sensor technology, textile science, and material science. In the extraction and analysis of environmental factors in clothing handicraft, AI technology has a considerable application prospect and a certain development potential. In order to improve the accuracy of environmental factors extraction in clothing handicraft, this paper uses convolutional neural network (CNN) to extract and analyze environmental factors in traditional clothing handicraft. We carried out experiments on the extraction of environmental factors in clothing handicrafts with pure color, few patterns, patterns, and complex background. The experimental results show that the CNN has a good effect on the extraction of environmental factors in clothing handicraft under different backgrounds. In addition, the model in this paper has good stability, accuracy, and feature extraction speed, which has high practical value and research significance.

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Section: Related Workmentioning

confidence: 99%

[Retracted] Artificial Intelligence Technology Driven Environmental Factors Extraction and Analysis Method in Traditional Clothing Handicraft

Tao

Guo

2022

Journal of Environmental and Public Health

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“…-Low number of participants/objects under study, limited geographies included (namely one country or in the same region), and limited range of time of the participation (Padilha and Gomes, 2016;Camacho-Otero et al, 2019;Brydges, 2021;Dhir et al, 2021;Fontana et al, 2021;Gossen and Heinrich, 2021;Sandberg and Hultberg, 2021;Siderius et al, 2021;Turunen and Halme, 2021;Bocken and Konietzko, 2022;Bhandari et al, 2022;Dangelico et al, 2022;de Oliveira et al, 2022;Fuchs and Hovemann, 2022;Gossen and Kropfeld, 2022;Louma et al, 2022;Nayak et al, 2022;Salmi and Kaipia, 2022;Valor et al, 2022;Xue et al, 2022;Aydin et al, 2023;Garcia-Ortega et al, 2023;Kautish et al, 2023;Román-Collado et al, 2023;Pandey and Yadav, 2023;Scott et al, 2023;Shamsuzzaman et al, 2023).…”

Section: Type Of Methods (N = Total)mentioning

confidence: 99%

Investigating the limitations of fashion research methods in applying a sustainable design practice: a systematic review

Pedroso-Roussado

2023

Preprint

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Research is a human activity that needs both scientific rigour and creativity. The need of research is often a complex issue is of difficult comprehension, validation, but it helps scientists test hypothesis within previously defined research questions. The standardization of methodologies, deeply rooted in the scientific method, has allowed humanity to progress. However, we are facing unprecedent challenges at a global scale that are pushing the boundaries of human capabilities. Since the fashion industry represents one of the most problematic industries globally, it is paramount to research its problems through rigorous and validated methodologies that will potentially allow the full comprehension of the issues while paving the way for the development of a wide range of practical and disseminated solutions. 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. The findings highlight the fragmentation of the literature in fashion research methodologies pointing out the main limitations of currently used methods. Interviews and case studies are the most used methodologies while other less conventional – like Social Life Cycle Assessment – have been also tried. 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.

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“…However, the intention to purchase could only be strong if they also believe that they have the ability (perceived behavioral control) to find and afford such products. Further studies on the motivations and intentions behind behavior towards fashion provide deeper insights into the dynamics of consumer decision-making processes (Xue et al, 2022).…”

Section: Fourth: Intentionmentioning

confidence: 99%

“…It encourages consumers to prioritize purchasing high-quality goods and embraces slower production and consumption rates (Cooper, 2019)." "Additionally, slow fashion embodies a sustainable environmental ethos, symbolizing a harmonious coexistence between humans and nature due to its distinct characteristic of intentional, slowed production (Xue et al, 2022). Fashion that resonates with an individual's identity can significantly impact consumer behavior towards clothing.…”

Section: Introductionmentioning

confidence: 99%

Forecasting Consumer Behavior Towards Saudi Identity-Influenced Fashion: An Application of the Theory of Planned Behavior

Aldaadi,

Basafar

2024

IJAREMS

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This study aimed to examine the predictive ability of consumers' behavioral intention towards fashion associated with the Saudi identity, and if modifying their behavior by strengthening the Saudi identity is possible. The questionnaire-based study utilized a descriptive approach to collect data on social variables and surveyed 218 Saudi and 56 non-Saudi individuals. The questionnaire had three axes: consumer identity in fashion, consumer awareness, and preserving fashion associated with the Saudi identity. The study found that nationality, gender, region, monthly income level, and educational level had a statistically significant effect on the dimensions of the study, except for age. The first hypothesis of the study, which suggested a positive and statistically significant correlation between the dimensions of the study and each of the nationality, gender, age, region, monthly income level, and educational level at (0.05), was confirmed. These results suggest that different levels of these variables can influence consumers' attitudes towards behavior, including their emotional connection to the Saudi identity and the extent to which it affects their retention of fashion. Furthermore, social pressure can also influence the consumer's behavior, and strengthening the Saudi identity can enhance the behavior. Therefore, the study suggests that there is potential to modify consumer behavior by reinforcing the Saudi identity in fashion.

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Consumption of traditional handicraft fashion: Motivations, intentions and behaviours of Chinese consumers

Cited by 6 publications

References 55 publications

[Retracted] Artificial Intelligence Technology Driven Environmental Factors Extraction and Analysis Method in Traditional Clothing Handicraft

[Retracted] Artificial Intelligence Technology Driven Environmental Factors Extraction and Analysis Method in Traditional Clothing Handicraft

Investigating the limitations of fashion research methods in applying a sustainable design practice: a systematic review

Forecasting Consumer Behavior Towards Saudi Identity-Influenced Fashion: An Application of the Theory of Planned Behavior

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