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A Narrative Critical Review of Research on Self-Sexualization 自我性别化研究述评
IF 1.9 4区 管理学 Q3 BUSINESS Pub Date : 2021-04-26 DOI: 10.1177/0887302X211004294
K. Johnson, Ui-Jeen Yu
Self-sexualization is an emerging area of research relevant to clothing researchers as evaluations of sexual appeal often stem from specific items and uses of dress. Our research purpose was to systematically review the available research on self-sexualization. In our review we focused specifically on three topics: what precedes self-sexualizing? What outcomes are associated with self-sexualizing? And how has self-sexualization been operationalized? The time frame for this review was 2007–2020. To locate the 31 journal articles that supplied the data for this research, multiple data bases were searched using the following search terms: self-sexualization, self-sexualizing, and sexual self-presentation. Important precursors to self-sexualization include exposure to media and social media, self-objectification, internalization of sexualization, and desiring attention from others. Empowerment has been studied as an outcome of self-sexualization along with negative inferences concerning both young women and girls that self-sexualize. Operationalization of self-sexualization is varied and likely contributes to inconsistent findings.
自我性化是与服装研究人员相关的一个新兴研究领域,因为对性吸引力的评估往往源于特定的物品和服装的使用。我们的研究目的是系统地回顾现有的关于自我性化的研究。在我们的回顾中,我们特别关注了三个主题:自我性化之前是什么?什么结果与自我性化有关?自我性化是如何运作的?本次审查的时间框架为2007-2020年。为了找到为本研究提供数据的31篇期刊文章,我们使用以下搜索词对多个数据库进行了搜索:自我性化、自我性化和性自我表现。自我性化的重要先兆包括接触媒体和社交媒体、自我物化、性化的内化以及渴望得到他人的关注。赋权被研究为自我性化的结果,以及与自我性化的年轻女性和女孩相关的负面推论。自我性化的操作化是多种多样的,可能导致不一致的发现。
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引用次数: 2
Electrospun PU/MgO/Ag Nanofibers for Antibacterial Activity and Flame Retardency 静电纺丝PU/MgO/Ag纳米纤维的抗菌和阻燃性能
IF 1.9 4区 管理学 Q3 BUSINESS Pub Date : 2021-04-16 DOI: 10.1177/0887302X211009479
V. Mamtha, H. Murthy, V. Raj, Prashantha Tejas, C. Puneet, Achyutha Venugopal, Sham AanMankunipoyil, C. Manjunatha
Antibacterial activity and fire retardation are equally desired for protective clothing. For achieving this, AgNP and MgO are independently researched as nanofillers in Polyurethane based electrospun nanofibers and their synergistic effect is scarcely addressed. This article reports synthesis and characterization of MgO of 70.01 nm and AgNP of 51 to 76 nm by solution combustion and hydrothermal routes respectively and their incorporation in electrospinning of Polyurethane. Flow rate 1 ml/hr, applied voltage 13 kV, tip to collector distance 15 cm were adopted for the electrospinning. Nanofibers of 65 nm were obtained for PU/MgO (3 wt. %) and 106 nm for PU/MgO (3 wt. %)/Ag (1 wt. %). Addition of MgO increased the melting point, after flame time and afterglow time. Incorporation of AgNP improved antibacterial activity. PU/MgO/Ag (2 wt. %) exhibited zone of inhibition of 2.1 cm and 3 cm against E. Coli and S. Aureus, respectively.
抗菌活性和阻燃性同样是防护服所需要的。为了实现这一目标,AgNP和MgO作为纳米填料分别在聚氨酯基静电纺纳米纤维中进行了研究,但它们的协同效应很少得到解决。本文报道了分别通过溶液燃烧和水热两种途径合成70.01 nm的MgO和51 ~ 76 nm的AgNP,并对其进行了表征。静电纺丝采用流速1 ml/hr,施加电压13 kV,针尖至集电极距离15 cm。PU/MgO (3 wt. %)的纳米纤维为65 nm, PU/MgO (3 wt. %)/Ag (1 wt. %)的纳米纤维为106 nm。MgO的加入提高了熔点、燃后时间和余辉时间。AgNP的掺入提高了抗菌活性。PU/MgO/Ag (2 wt. %)对大肠杆菌和金黄色葡萄球菌的抑制区分别为2.1 cm和3 cm。
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引用次数: 1
Facemasking Behaviors, Preferences, and Attitudes Among Emerging Adults in the United States During the COVID-19 Pandemic: An Exploratory Study COVID-19大流行期间美国新兴成年人的口罩行为、偏好和态度:一项探索性研究
IF 1.9 4区 管理学 Q3 BUSINESS Pub Date : 2021-04-12 DOI: 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.
在2019冠状病毒病大流行期间,口罩已成为必需品。我们探讨了新兴成人的蒙面行为、偏好和态度,这是生命周期中一个“独特的人口统计学时期”。2020年5月进行的民意调查发现,与其他人口群体相比,新兴成年人的依从性最低。为了理解原因,我们开发了一种调查工具,对1005名参与者的人口代表性配额样本进行了管理。人口统计比较显示,政治信仰、性别、生活状况和种族对行为和态度的影响显著不同。探索性因素分析揭示了六个潜在变量:(a)避免戴口罩;(b)有关遵守;(c)恼人的吹毛求疵;(d)发表声明;(e)时尚热情;(f)坚持卫生。所有因素因政治派别而有显著差异,在某些情况下因性别、种族、生活状况、地点和工作/教育状况而有显著差异。除时尚热情与烦恼挑剔外,其他因素均呈显著相关。
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引用次数: 8
Pandemic Fear and Weight Gain: Effects on Overweight and Obese Adults’ Purchasing Exercise Apparel Online 流行病恐惧和体重增加:对超重和肥胖成年人在线购买运动服装的影响
IF 1.9 4区 管理学 Q3 BUSINESS Pub Date : 2021-04-08 DOI: 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.
本研究基于计划行为理论和身体相关自我差异理论,探讨流行病恐惧和体重增加对超重和肥胖消费者在线购买运动服装决策的交互影响。515名bmi在25及以上的成年男女参与了这项研究。对流行病的恐惧对在线购买运动服装的态度的影响仅对在流行病期间没有增加体重的超重和肥胖消费者产生积极影响。然而,对于那些在疫情期间体重增加的人来说,对疫情的恐惧对在线购买运动服装的态度没有显著影响。态度、主观规范和感知行为控制都是在线购买运动服装意向的显著预测因子。本研究通过加入流行病相关因素对计划行为理论进行了扩展,并对在线零售商提供了实际启示。
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引用次数: 4
Fashion Consumers’ Channel Switching Behavior During the COVID-19: Protection Motivation Theory in the Extended Planned Behavior Framework 新冠肺炎期间时尚消费者渠道切换行为:扩展计划行为框架下的保护动机理论
IF 1.9 4区 管理学 Q3 BUSINESS Pub Date : 2021-04-01 DOI: 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.
本研究的目的是了解新冠肺炎期间时尚消费者转向线上商店的渠道。结合保护动机理论,提出了计划行为的扩展理论。结果显示,消费者对新冠肺炎严重性感知、利他恐惧、渠道转换的反应效能和自我效能的评估增加了他们的信念(即态度、感知行为控制、主观规范)和转向网络购物渠道的意愿。年龄对反应效能和自我效能对感知行为控制的影响、感知严重性对主观规范的影响、感知行为控制对渠道切换意图的影响、渠道切换意图对实际切换行为的影响均有调节作用。这一发现为时尚零售商和社会更好地了解疫情下时尚消费者的购物渠道切换提供了帮助。
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引用次数: 50
Neo-Fashion: A Data-Driven Fashion Trend Forecasting System Using Catwalk Analysis 新时尚:基于t台分析的数据驱动的时尚趋势预测系统
IF 1.9 4区 管理学 Q3 BUSINESS Pub Date : 2021-03-29 DOI: 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...
趋势预测是时尚行业一个具有挑战性和重要的方面。作者设计了一种新颖的时尚趋势分析系统“Neo-Fashion”,该系统可以为时装设计师提供建议。
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引用次数: 9
Improving Efficiency of Apparel Manufacturing Through the Principles of Resource Management 运用资源管理原理提高服装生产效率
IF 1.9 4区 管理学 Q3 BUSINESS Pub Date : 2021-03-25 DOI: 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.
为了获得竞争优势,有效、高效、经济地利用制造业资源已成为制造业发展的关键。需要理解这些资源是基于5m(人力、方法、材料、资金和机器)。本研究以服装行业为研究对象,运用资源管理的思想来制定总监计划,以提高流程效率。为此,收集了与产品布局、作业计划和工艺流程相关的数据。时间运动研究进行方面分析。评估了有关操作、机器数量和生产线效率的信息。该方案成功地将效率提高了10%。这也表明人力和资金的有效利用有所提高。
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引用次数: 1
Evaluation of the Accuracy and Practicability of Predicting Compression Garment Pressure Using Virtual Fit Technology 虚拟试衣技术预测压缩服装压力的准确性和实用性评价
IF 1.9 4区 管理学 Q3 BUSINESS Pub Date : 2021-03-24 DOI: 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.
在这项研究中,我们通过分析压力预测的准确性和工艺的实用性,评估了在特定服装的CAD程序中使用虚拟合身压力图来预测运动压缩服装所施加压力的可行性。在穿着全身压缩运动服的试验中,我们测量了体内压力,并将其与从13名参与者的身体扫描化身的服装的虚拟合身压力图中记录的虚拟压力进行了比较。虚拟压力和体内压力之间没有明确的相关性,虚拟配合过程中的问题变得明显。CAD软件目前缺乏与物理织物、接缝和部件特性的联系,这限制了它在新产品开发中的预测使用。通过考虑所有模拟设置并评估服装特定CAD程序的数值压力预测能力,本研究为评估技术产品开发中虚拟合身的局限性提供了一步。
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引用次数: 7
Exploring Global Fashion Sustainability Practices through Dictionary-Based Text Mining 通过基于词典的文本挖掘探索全球时尚可持续发展实践
IF 1.9 4区 管理学 Q3 BUSINESS Pub Date : 2021-03-05 DOI: 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.
如今,越来越多的时尚公司开始采用各种可持续发展实践,并通过年度社会责任公开报告来传达这些实践。本研究旨在提供时尚企业可持续发展的整体视角,并探讨全球时尚企业的可持续发展实践。共收集了来自29家时尚企业的181份企业社会责任报告。采用字典式文本分类方法,结合计算机辅助主题建模算法潜狄利克雷分配(Latent Dirichlet Allocation, LDA),对企业社会责任报告中披露的详细实践主题和关键词进行检测和汇总。根据三重底线理论和企业可持续发展的道德责任理论,研究结果确定了12个主要的可持续发展实践主题。总的来说,废物管理和人权是最常提到的主题。研究结果还表明,全球时装公司根据其产品类别和竞争优势采取了不同的可持续发展战略。
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引用次数: 2
Color Trend Analysis using Machine Learning with Fashion Collection Images 使用机器学习对时装系列图像进行色彩趋势分析
IF 1.9 4区 管理学 Q3 BUSINESS Pub Date : 2021-03-03 DOI: 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.
时尚色彩趋势是直接影响品牌销售的重要营销要素。潘通等组织通过每年预测调色板,在专业色彩标准方面拥有全球权威。然而,问题仍然是,时装设计师是否会在时装秀上使用这些颜色来引导季节性时尚趋势。本研究通过机器学习分析时装系列的图像数据,通过网络抓取t台图像,通过机器学习分离身体和服装元素,使用k-means算法定义颜色芯片的选择,并分析Pantone调色板(16种颜色)与分析颜色芯片之间的相似性,从而获得可测量的结果。Pantone趋势和时装系列中使用的颜色之间的差距进行了定量分析,发现是显著的。这项研究表明了机器学习在时尚行业指导生产的潜力,并建议进一步研究扩展到其他设计变量。
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引用次数: 6
期刊
Clothing and Textiles Research Journal
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