Pub Date : 2021-04-12DOI: 10.1177/0887302X211006775
D. Green, Fran Kozen, Catherine Kueffer Blumenkamp
Facemasks have become requisite amid the COVID-19 pandemic. We explore facemasking behaviors, preferences, and attitudes among emerging adults, a “distinct period demographically” within the lifespan. Public opinion polls conducted in May 2020 found that emerging adults were the least compliant when compared to other demographic groups. To understand why, we developed a survey instrument that was administered to a demographically representative quota sample of 1,005 participants. Demographic comparisons revealed that behaviors and attitudes differed significantly by political beliefs, gender, living situation, and race. An exploratory factor analysis revealed six underlying variables: (a) facemask avoidance; (b) concerned adherence (c) vexed faultfinding; (d) statement making; (e) fashion enthusiasm; and (f) hygiene adherence. All factors varied significantly by political affiliation, and in some cases by gender, race, living situation, location, and work/education status. Significant correlations were present between all factors except fashion enthusiasm and vexed faultfinding.
{"title":"Facemasking Behaviors, Preferences, and Attitudes Among Emerging Adults in the United States During the COVID-19 Pandemic: An Exploratory Study","authors":"D. Green, Fran Kozen, Catherine Kueffer Blumenkamp","doi":"10.1177/0887302X211006775","DOIUrl":"https://doi.org/10.1177/0887302X211006775","url":null,"abstract":"Facemasks have become requisite amid the COVID-19 pandemic. We explore facemasking behaviors, preferences, and attitudes among emerging adults, a “distinct period demographically” within the lifespan. Public opinion polls conducted in May 2020 found that emerging adults were the least compliant when compared to other demographic groups. To understand why, we developed a survey instrument that was administered to a demographically representative quota sample of 1,005 participants. Demographic comparisons revealed that behaviors and attitudes differed significantly by political beliefs, gender, living situation, and race. An exploratory factor analysis revealed six underlying variables: (a) facemask avoidance; (b) concerned adherence (c) vexed faultfinding; (d) statement making; (e) fashion enthusiasm; and (f) hygiene adherence. All factors varied significantly by political affiliation, and in some cases by gender, race, living situation, location, and work/education status. Significant correlations were present between all factors except fashion enthusiasm and vexed faultfinding.","PeriodicalId":47110,"journal":{"name":"Clothing and Textiles Research Journal","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2021-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91039018","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-08DOI: 10.1177/0887302X211004892
Eonyou Shin
The purpose of this study was to investigate the interactive effect of pandemic fear and weight gain on overweight and obese consumers’ decisions to purchase exercise apparel online based on the theory of planned behavior and body-related self-discrepancy theory. A sample of 515 male and female adults with BMIs of 25 and higher participated in this study. The effect of pandemic fear on the attitudes toward purchasing exercise apparel online was only positive for overweight and obese consumers who did not gain weight during pandemic. However, for those who gained weight during the pandemic, there was no significant effect of pandemic fear on the attitudes toward purchasing exercise apparel online. Attitudes, subjective norm, and perceived behavioral control were all significant predictors of intent to purchase exercise apparel online. This study extends the theory of planned behavior by adding the pandemic-related factors and provides practical implications for online retailers.
{"title":"Pandemic Fear and Weight Gain: Effects on Overweight and Obese Adults’ Purchasing Exercise Apparel Online","authors":"Eonyou Shin","doi":"10.1177/0887302X211004892","DOIUrl":"https://doi.org/10.1177/0887302X211004892","url":null,"abstract":"The purpose of this study was to investigate the interactive effect of pandemic fear and weight gain on overweight and obese consumers’ decisions to purchase exercise apparel online based on the theory of planned behavior and body-related self-discrepancy theory. A sample of 515 male and female adults with BMIs of 25 and higher participated in this study. The effect of pandemic fear on the attitudes toward purchasing exercise apparel online was only positive for overweight and obese consumers who did not gain weight during pandemic. However, for those who gained weight during the pandemic, there was no significant effect of pandemic fear on the attitudes toward purchasing exercise apparel online. Attitudes, subjective norm, and perceived behavioral control were all significant predictors of intent to purchase exercise apparel online. This study extends the theory of planned behavior by adding the pandemic-related factors and provides practical implications for online retailers.","PeriodicalId":47110,"journal":{"name":"Clothing and Textiles Research Journal","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2021-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81297042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-01DOI: 10.1177/0887302X20986521
Song-yi Youn, J. E. Lee, Jung E. Ha‐Brookshire
The purpose of this study is to understand fashion consumers’ channel switching to online stores during the COVID-19. We proposed an extended theory of planned behavior by incorporating protection motivation theory. The results showed that consumer assessments of perceived severity and altruistic fear of COVID-19 and response efficacy and self-efficacy of channel switching increased their beliefs (i.e., attitude, perceived behavior control, subjective norm) and intentions to switch shopping channels to online. We also found that the age (young vs. old) moderated the effects of response efficacy and self-efficacy on perceived behavior control, perceived severity on subjective norm, perceived behavior control on channel switching intentions, and channel switching intention on actual switching behavior. The findings provide fashion retailers and the society with a better understanding about fashion consumers’ shopping channel switching under the pandemic.
{"title":"Fashion Consumers’ Channel Switching Behavior During the COVID-19: Protection Motivation Theory in the Extended Planned Behavior Framework","authors":"Song-yi Youn, J. E. Lee, Jung E. Ha‐Brookshire","doi":"10.1177/0887302X20986521","DOIUrl":"https://doi.org/10.1177/0887302X20986521","url":null,"abstract":"The purpose of this study is to understand fashion consumers’ channel switching to online stores during the COVID-19. We proposed an extended theory of planned behavior by incorporating protection motivation theory. The results showed that consumer assessments of perceived severity and altruistic fear of COVID-19 and response efficacy and self-efficacy of channel switching increased their beliefs (i.e., attitude, perceived behavior control, subjective norm) and intentions to switch shopping channels to online. We also found that the age (young vs. old) moderated the effects of response efficacy and self-efficacy on perceived behavior control, perceived severity on subjective norm, perceived behavior control on channel switching intentions, and channel switching intention on actual switching behavior. The findings provide fashion retailers and the society with a better understanding about fashion consumers’ shopping channel switching under the pandemic.","PeriodicalId":47110,"journal":{"name":"Clothing and Textiles Research Journal","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75460188","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-29DOI: 10.1177/0887302X211004299
Li Zhao, Muzhen Li, P. Sun
Trend forecasting is a challenging and important aspect of the fashion industry. The authors design a novel fashion trend analysis system called “Neo-Fashion,” which provides recommendations to fas...
{"title":"Neo-Fashion: A Data-Driven Fashion Trend Forecasting System Using Catwalk Analysis","authors":"Li Zhao, Muzhen Li, P. Sun","doi":"10.1177/0887302X211004299","DOIUrl":"https://doi.org/10.1177/0887302X211004299","url":null,"abstract":"Trend forecasting is a challenging and important aspect of the fashion industry. The authors design a novel fashion trend analysis system called “Neo-Fashion,” which provides recommendations to fas...","PeriodicalId":47110,"journal":{"name":"Clothing and Textiles Research Journal","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2021-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84090474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-25DOI: 10.1177/0887302X211005432
A. Fatima, M. Tufail
To gain the competitive advantage, it has become essential for manufacturing industry to use its resources effectively, efficiently and economically. It is required to understand that such resources are based on 5 Ms (manpower, methods, materials, money, and machinery). In this study an apparel industry was selected to create a directorial plan by using the ideologies of resource management to improve the process efficiency. For this the data related to the product layout, operation plan, and process flow was collected. Time motion study was performed for aspect analysis. Information regarding operation, number of machines and efficiency of the production line was evaluated. The proposed plan successfully increase the efficiency up to 10%. It also shows an improvement in effective utilization of manpower and money.
{"title":"Improving Efficiency of Apparel Manufacturing Through the Principles of Resource Management","authors":"A. Fatima, M. Tufail","doi":"10.1177/0887302X211005432","DOIUrl":"https://doi.org/10.1177/0887302X211005432","url":null,"abstract":"To gain the competitive advantage, it has become essential for manufacturing industry to use its resources effectively, efficiently and economically. It is required to understand that such resources are based on 5 Ms (manpower, methods, materials, money, and machinery). In this study an apparel industry was selected to create a directorial plan by using the ideologies of resource management to improve the process efficiency. For this the data related to the product layout, operation plan, and process flow was collected. Time motion study was performed for aspect analysis. Information regarding operation, number of machines and efficiency of the production line was evaluated. The proposed plan successfully increase the efficiency up to 10%. It also shows an improvement in effective utilization of manpower and money.","PeriodicalId":47110,"journal":{"name":"Clothing and Textiles Research Journal","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2021-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91111556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-24DOI: 10.1177/0887302X21999314
Kristina Brubacher, D. Tyler, P. Apeagyei, Prabhuraj D. Venkatraman, A. Brownridge
In this study, we evaluated the feasibility of using the virtual fit pressure map in a clothing-specific CAD program to predict pressures applied by sports compression garments by analyzing pressure prediction accuracy and process practicability. In wearer trials with whole-body compression sportswear, we measured in vivo pressures and compared them to virtual pressures recorded from the virtual fit pressure maps of the garments fitted to 13 participants’ body scan avatars. No clear correlations between virtual and in vivo pressures were identified and problems in the virtual fit process became apparent. The CAD software currently lacks a link to physical fabric, seam and component properties, which inhibits its use for predictions in new product development. By considering all simulation settings and assessing the numerical pressure prediction capability of a clothing-specific CAD program, this research provides a step forward in assessing the limitations of virtual fit for technical product development.
{"title":"Evaluation of the Accuracy and Practicability of Predicting Compression Garment Pressure Using Virtual Fit Technology","authors":"Kristina Brubacher, D. Tyler, P. Apeagyei, Prabhuraj D. Venkatraman, A. Brownridge","doi":"10.1177/0887302X21999314","DOIUrl":"https://doi.org/10.1177/0887302X21999314","url":null,"abstract":"In this study, we evaluated the feasibility of using the virtual fit pressure map in a clothing-specific CAD program to predict pressures applied by sports compression garments by analyzing pressure prediction accuracy and process practicability. In wearer trials with whole-body compression sportswear, we measured in vivo pressures and compared them to virtual pressures recorded from the virtual fit pressure maps of the garments fitted to 13 participants’ body scan avatars. No clear correlations between virtual and in vivo pressures were identified and problems in the virtual fit process became apparent. The CAD software currently lacks a link to physical fabric, seam and component properties, which inhibits its use for predictions in new product development. By considering all simulation settings and assessing the numerical pressure prediction capability of a clothing-specific CAD program, this research provides a step forward in assessing the limitations of virtual fit for technical product development.","PeriodicalId":47110,"journal":{"name":"Clothing and Textiles Research Journal","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2021-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83846348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-05DOI: 10.1177/0887302X21998268
Muzhen Li, Li Zhao
Nowadays, more fashion companies have started to adopt various sustainability practices and communicate these practices through their annual public CSR reports. In this study, we aim to provide a holistic perspective of fashion companies’ sustainable development and investigate the sustainability practices of global fashion companies. A total of 181 CSR reports from 29 fashion companies were collected. A Dictionary approach text classification method, combined with Latent Dirichlet Allocation (LDA), a computer-assisted topic modeling algorithm, was implemented to detect and summarize the themes and keywords of detailed practices disclosed in CSR reports. The findings identified 12 main sustainability practices themes based on the triple bottom line theory and the moral responsibility of corporate sustainability theory. In general, waste management and human rights are the most frequently mentioned themes. The findings also suggest that global fashion companies adopted different sustainability strategies based on their product categories and competitive advantages.
{"title":"Exploring Global Fashion Sustainability Practices through Dictionary-Based Text Mining","authors":"Muzhen Li, Li Zhao","doi":"10.1177/0887302X21998268","DOIUrl":"https://doi.org/10.1177/0887302X21998268","url":null,"abstract":"Nowadays, more fashion companies have started to adopt various sustainability practices and communicate these practices through their annual public CSR reports. In this study, we aim to provide a holistic perspective of fashion companies’ sustainable development and investigate the sustainability practices of global fashion companies. A total of 181 CSR reports from 29 fashion companies were collected. A Dictionary approach text classification method, combined with Latent Dirichlet Allocation (LDA), a computer-assisted topic modeling algorithm, was implemented to detect and summarize the themes and keywords of detailed practices disclosed in CSR reports. The findings identified 12 main sustainability practices themes based on the triple bottom line theory and the moral responsibility of corporate sustainability theory. In general, waste management and human rights are the most frequently mentioned themes. The findings also suggest that global fashion companies adopted different sustainability strategies based on their product categories and competitive advantages.","PeriodicalId":47110,"journal":{"name":"Clothing and Textiles Research Journal","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2021-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80257242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-03DOI: 10.1177/0887302X21995948
Ahyoung Han, Jihoon Kim, Jaehong Ahn
Fashion color trends are an essential marketing element that directly affect brand sales. Organizations such as Pantone have global authority over professional color standards by annually forecasting color palettes. However, the question remains whether fashion designers apply these colors in fashion shows that guide seasonal fashion trends. This study analyzed image data from fashion collections through machine learning to obtain measurable results by web-scraping catwalk images, separating body and clothing elements via machine learning, defining a selection of color chips using k-means algorithms, and analyzing the similarity between the Pantone color palette (16 colors) and the analysis color chips. The gap between the Pantone trends and the colors used in fashion collections were quantitatively analyzed and found to be significant. This study indicates the potential of machine learning within the fashion industry to guide production and suggests further research expand on other design variables.
{"title":"Color Trend Analysis using Machine Learning with Fashion Collection Images","authors":"Ahyoung Han, Jihoon Kim, Jaehong Ahn","doi":"10.1177/0887302X21995948","DOIUrl":"https://doi.org/10.1177/0887302X21995948","url":null,"abstract":"Fashion color trends are an essential marketing element that directly affect brand sales. Organizations such as Pantone have global authority over professional color standards by annually forecasting color palettes. However, the question remains whether fashion designers apply these colors in fashion shows that guide seasonal fashion trends. This study analyzed image data from fashion collections through machine learning to obtain measurable results by web-scraping catwalk images, separating body and clothing elements via machine learning, defining a selection of color chips using k-means algorithms, and analyzing the similarity between the Pantone color palette (16 colors) and the analysis color chips. The gap between the Pantone trends and the colors used in fashion collections were quantitatively analyzed and found to be significant. This study indicates the potential of machine learning within the fashion industry to guide production and suggests further research expand on other design variables.","PeriodicalId":47110,"journal":{"name":"Clothing and Textiles Research Journal","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2021-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82187827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-02-19DOI: 10.1177/0887302X21994207
Li Zhao, K. Kim
The COVID-19 pandemic has created lots of uncertainties that force clothing and textile (C&T) companies to question their current practices and make urgent changes to navigate their future. Given that this period represents an unprecedented market situation with almost no prior research on how an industry can recover from such a crisis and reshape its value chain, this study aims to present new possibilities with C&T value chain by evaluating specific industry responses. The global value chain framework and resource-based theory of the firm were used as the theoretical framework in this study. Based on case study analysis and extensive literature review, this study develops a conceptual model illustrating the connections among various value chain segments in C&T that have been affected due to the COVID-19 pandemic. The findings provide actionable considerations for C&T practitioners when implementing appropriate strategies during times of crisis, such as the COVID-19 outbreak.
{"title":"Responding to the COVID-19 Pandemic: Practices and Strategies of the Global Clothing and Textile Value Chain","authors":"Li Zhao, K. Kim","doi":"10.1177/0887302X21994207","DOIUrl":"https://doi.org/10.1177/0887302X21994207","url":null,"abstract":"The COVID-19 pandemic has created lots of uncertainties that force clothing and textile (C&T) companies to question their current practices and make urgent changes to navigate their future. Given that this period represents an unprecedented market situation with almost no prior research on how an industry can recover from such a crisis and reshape its value chain, this study aims to present new possibilities with C&T value chain by evaluating specific industry responses. The global value chain framework and resource-based theory of the firm were used as the theoretical framework in this study. Based on case study analysis and extensive literature review, this study develops a conceptual model illustrating the connections among various value chain segments in C&T that have been affected due to the COVID-19 pandemic. The findings provide actionable considerations for C&T practitioners when implementing appropriate strategies during times of crisis, such as the COVID-19 outbreak.","PeriodicalId":47110,"journal":{"name":"Clothing and Textiles Research Journal","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2021-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88696812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-02-19DOI: 10.1177/0887302X21993500
Jiazhen He, Ling Sun, Yehu Lu
This study focused on changes in protective performance of steam protective clothing after exposure to conditions such as thermal radiation and frictional abrasion. Totally eight radiation conditions varying on exposure duration and times, four types of abrasion scenarios with different friction cycles and three different combined treatments were designed. Results demonstrated that any increase in radiant exposure duration or exposure times would lead to an initial increase and then a following decrease in the steam protective performance. However, the steam protective performance seemed relatively immune to the friction cycles. When thermal radiation and frictional abrasion acted together, interactions between them existed and their specific interaction highly depended on the distribution of heat exposure duration and friction cycles. Findings of this study provided insight into factors influencing steam protective performance, and could be an aid in developing high performance materials or guidelines for use and maintenance of protective clothing.
{"title":"Effects of Radiant Heat and Frictional Abrasion on Thermal Protective Performance of Clothing Against High Pressurized Steam","authors":"Jiazhen He, Ling Sun, Yehu Lu","doi":"10.1177/0887302X21993500","DOIUrl":"https://doi.org/10.1177/0887302X21993500","url":null,"abstract":"This study focused on changes in protective performance of steam protective clothing after exposure to conditions such as thermal radiation and frictional abrasion. Totally eight radiation conditions varying on exposure duration and times, four types of abrasion scenarios with different friction cycles and three different combined treatments were designed. Results demonstrated that any increase in radiant exposure duration or exposure times would lead to an initial increase and then a following decrease in the steam protective performance. However, the steam protective performance seemed relatively immune to the friction cycles. When thermal radiation and frictional abrasion acted together, interactions between them existed and their specific interaction highly depended on the distribution of heat exposure duration and friction cycles. Findings of this study provided insight into factors influencing steam protective performance, and could be an aid in developing high performance materials or guidelines for use and maintenance of protective clothing.","PeriodicalId":47110,"journal":{"name":"Clothing and Textiles Research Journal","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2021-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82247949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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