Fit for the Future: Garment Quality and Product Lifetimes in a CE Context

Piippo, Riikka; Niinimäki, Kirsi; Aakko, Maarit

doi:10.3390/su14020726

Cited by 11 publications

(3 citation statements)

References 15 publications

(28 reference statements)

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“…Creative indicators relate to the design creativity of fashion products; other researchers have discussed this indicator category [36,40]. Quality indicators refer to the quality of fashion, fabric, and stitches [42]. Timeless or classical design indicators denote designs that are developed without focusing on trends and that can always adjust to the times due to their simple model designs.…”

Section: Indicator Referencementioning

confidence: 99%

Implementing Online Product Reviews and Muslim Fashion Innovation for Resilience during the New Normal in Indonesia

Nurcahyanie

Singgih

2022

Sustainability

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The COVID-19 pandemic in Indonesia has harmed the fashion sector, particularly SMEs (small and medium-sized enterprises). In the wake of the epidemic, the Muslim Fashion Shop (MFS) sector has experienced a drop in sales. Therefore, developing innovative products and excellent customer approaches are critical to MFS resilience. This pandemic has additionally affected the shift from offline to online sales channels. Online sales features, referred to as online product reviews (OPRs), allow customers to leave comments or evaluations. OPRs are one of the sources of product feature information, and are a means of increasing valued for online consumers that some companies are currently underutilizing. In order to develop Muslim fashion designs, this project performed OPRs. The purpose of this study is to show the benefits of OPRs in the development of new Muslim fashion products in Indonesia in order to assist businesses in surviving in the new normal era. The first phase of OPR data collection at Shopee was carried out in five steps. OPR data were collected in Shopee using NVivo’s N-Capture QSR. The data obtained from phase one were needed in order to equalize perceptions and make corrections using the member check obtained data OPR method using Focus Group Discussion (FGD). The second phase consisted of eight steps. This phase sharpened the results of phase one using expert judgement word frequency analysis in NIVO. The third and final phase analysed the fashion industry’s new normal innovation approach. This research shows the usefulness of OPR data for the evolution of fashion design in Indonesia, among other findings. According to this study, companies’ expertise, experience, and design innovation are essential variables in a changing/disruptive marketplace. Ongoing research suggests utilizing OPRs to generate new design trends, high-quality products, and innovative tactics in order to sustain Muslim fashion business.

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Section: Indicator Referencementioning

confidence: 99%

Implementing Online Product Reviews and Muslim Fashion Innovation for Resilience during the New Normal in Indonesia

Nurcahyanie

Singgih

2022

Sustainability

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“…The fashion industry is responsible for creating approximately 40 million tons of textile waste worldwide, most of which ends up in landfill or incinerated [1]. The issue of clothing waste is prevalent in developed and developing countries [2]. A major contributor to the accumulation of clothing waste is the tendency of most consumers to dispose of clothes that no longer serve their purpose, compounded by the poor quality of clothing products and their short lifespan [3].…”

Section: Introductionmentioning

confidence: 99%

Improving Clothing Product Quality and Reducing Waste Based on Consumer Review Using RoBERTa and BERTopic Language Model

Alamsyah,

Girawan

2023

BDCC

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The disposability of clothing has emerged as a critical concern, precipitating waste accumulation due to product quality degradation. Such consequences exert significant pressure on resources and challenge sustainability efforts. In response, this research focuses on empowering clothing companies to elevate product excellence by harnessing consumer feedback. Beyond insights, this research extends to sustainability by providing suggestions on refining product quality by improving material handling, gradually mitigating waste production, and cultivating longevity, therefore decreasing discarded clothes. Managing a vast influx of diverse reviews necessitates sophisticated natural language processing (NLP) techniques. Our study introduces a Robustly optimized BERT Pretraining Approach (RoBERTa) model calibrated for multilabel classification and BERTopic for topic modeling. The model adeptly distills vital themes from consumer reviews, exhibiting astounding accuracy in projecting concerns across various dimensions of clothing quality. NLP’s potential lies in endowing companies with insights into consumer review, augmented by the BERTopic to facilitate immersive exploration of harvested review topics. This research presents a thorough case for integrating machine learning to foster sustainability and waste reduction. The contribution of this research is notable for its integration of RoBERTa and BERTopic in multilabel classification tasks and topic modeling in the fashion industry. The results indicate that the RoBERTa model exhibits remarkable performance, as demonstrated by its macro-averaged F1 score of 0.87 and micro-averaged F1 score of 0.87. Likewise, BERTopic achieves a coherence score of 0.67, meaning the model can form an insightful topic.

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“…Nowadays, there are a large number of waste textiles in the world every year. From a certain point of view, it is particularly important to increase their life cycle and acceptability, which directly affects the service life and reduces the possibility of their being discarded in the short term [3]. It has a direct impact on the green development and circular development of textiles.…”

Section: Introductionmentioning

confidence: 99%

The Influence of Major Ergonomic Factors on the Demand for Underwear in the Highly Educated Male Group

Cheng

Kuzmichev

et al. 2022

Sustainability

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At present, it is unclear how ergonomic factors of underwear affect men’s work, lifestyle, physiology and psychology, and whether the demand factors of some special groups will affect the development of underwear. This study analyzed the underwear preferences of male groups working in Chinese and European universities from the perspective of ergonomics. The survey results confirm that ergonomic factors significantly affect men’s preference for underwear, including subjective style preference and objective comfort. These problems come from style structure, materials, functional design and size standards. In general, this typical male group needs underwear with good support in standing posture and good comfort in sitting state. This study also provides important information and evidence for the analysis and prediction of group characteristics and demand-oriented product development. Designing underwear products according to consumer needs and avoiding waste of resources from inefficient development has a positive impact on the green development and recycling of textiles.

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Fit for the Future: Garment Quality and Product Lifetimes in a CE Context

Cited by 11 publications

References 15 publications

Implementing Online Product Reviews and Muslim Fashion Innovation for Resilience during the New Normal in Indonesia

Implementing Online Product Reviews and Muslim Fashion Innovation for Resilience during the New Normal in Indonesia

Improving Clothing Product Quality and Reducing Waste Based on Consumer Review Using RoBERTa and BERTopic Language Model

The Influence of Major Ergonomic Factors on the Demand for Underwear in the Highly Educated Male Group

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