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1 – 10 of 113Deepasri Prabhakar and Sudhakar Rajagopal
The concept of developing clothing sizes has taken importance in recent years due to increasing expectations of consumers for branded clothing and its value in terms of fit and…
Abstract
Purpose
The concept of developing clothing sizes has taken importance in recent years due to increasing expectations of consumers for branded clothing and its value in terms of fit and durability. The kids’ ready-to-wear brands are expected to pose the least fit issues, thereby covering a wider population of a particular size. This necessitates the standardization of measurements. The lack of standardized approaches has caused fit issues like mismatching of sizes and alterations, in a heterogenous consumer market, like India. The performance of branded apparel depends on the quality of the measurements considered in developing sizes and the approach for standardization. There is a lacuna in the measurements used by the kids’ apparel domestic brands. This study aims to propose an anthropometric approach for deriving quality measurements that can be used effectively in developing kids’ sizes to fit a wider population of kids, thereby reducing the need for alterations.
Design/methodology/approach
The measurement data was gathered through the quantitative method. An anthropometric survey was conducted by measuring school kids. A total of 544 kids (girls and boys) of age group 6–8 years were measured to obtain prime anthropometric measurements required for ready-to-wear apparel production. WHO manual and ISO 8559, 1998 meant for anthropometry survey for garment industry was referred for accurate measuring following the landmarks for measuring.
Findings
The findings revealed differences in the anthropometric measurements based on gender and age. The anthropometric measurements showed variations within the same body mass index (BMI) range. S, M and L sizes were identified within an age group. The apparel manufacturers and designers need to focus on the discrepancies occurring in the body measurements of an age group to address and control fit issues in kids ready to wear apparel.
Practical implications
The anthropometric approach can be significantly used to control undesired fit and comfort issues in kids’ ready-to-wear apparel.
Originality/value
This study helped to understand the importance of scientific measuring practices to arrive at standardized measurements to develop sizes in ready-to-wear apparel manufacturing.
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Yuran Jin, Xiaolin Zhu, Xiaoxu Zhang, Hui Wang and Xiaoqin Liu
3D printing has been warmly welcomed by clothing enterprises for its customization capacity in recent years. However, such clothing enterprises have to face the digital…
Abstract
Purpose
3D printing has been warmly welcomed by clothing enterprises for its customization capacity in recent years. However, such clothing enterprises have to face the digital transformation challenges brought by 3D printing. Since the business model is a competitive weapon for modern enterprises, there is a research gap between business model innovation and digital transformation challenges for 3D-printing garment enterprises. The aim of the paper is to innovate a new business model for 3D-printing garment enterprises in digital transformation.
Design/methodology/approach
A business model innovation canvas (BMIC), a new method for business model innovation, is used to innovate a new 3D-printing clothing enterprises business model in the context of digital transformation. The business model canvas (BMC) method is adopted to illustrate the new business model. The business model ecosystem is used to design the operating architecture and mechanism of the new business model.
Findings
First, 3D-printing clothing enterprises are facing digital transformation, and they urgently need to innovate new business models. Second, mass customization and distributed manufacturing are important ways of solving the business model problems faced by 3D-printing clothing enterprises in the process of digital transformation. Third, BMIC has proven to be an effective tool for business model innovation.
Research limitations/implications
The new mass deep customization-distributed manufacturing (MDC-DM) business model is universal. As such, it can provide an important theoretical reference for other scholars to study similar problems. The digital transformation background is taken into account in the process of business model innovation. Therefore, this is the first hybrid research that has been focused on 3D printing, garment enterprises, digital transformation and business model innovation. On the other hand, business model innovation is a type of exploratory research, which means that the MDC-DM business model’s application effect cannot be immediately observed and requires further verification in the future.
Practical implications
The new business model MDC-DM is not only applicable to 3D-printing garment enterprises but also to some other enterprises that are either using or will use 3D printing to enhance their core competitiveness.
Originality/value
A new business model, MDC-DM, is created through BMIC, which allows 3D-printing garment enterprises to meet the challenges of digital transformation. In addition, the original canvas of the MDC-DM business model is designed using BMC. Moreover, the ecosystem of the MDC-DM business model is constructed, and its operation mechanisms are comprehensively designed.
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Afred Suci, Hui-Chih Wang and Her-Sen Doong
Localization, glocalization, and standardization advertising strategies have scarcely been examined in the context of internationally acknowledged heritage products aimed at young…
Abstract
Purpose
Localization, glocalization, and standardization advertising strategies have scarcely been examined in the context of internationally acknowledged heritage products aimed at young domestic consumers in emerging markets. This study investigated two essential advertising cues: endorser nationality (local vs Western) and language (local vs English). National pride and gender effects were also analyzed.
Design/methodology/approach
Eight brochure types were constructed to represent localized, glocalized, and standardized print advertisements and examine their effects on brand image and purchase intention. MANOVA, MANCOVA, and moderated mediation analysis were employed to test the model.
Findings
The localization presenting same-sex endorsement is the best fit for promoting an internationally acknowledged heritage product to young, educated domestic consumers who have a low-to-moderate level of national pride (NP).
Research limitations/implications
This study provides theoretical implications in localization, NP, and gender effect in ad strategy.
Originality/value
This study fills a literature gap regarding the effects of localization, glocalization, and standardization advertising strategies on culturally bound heritage products aimed at young consumers in emerging markets. The moderating effect of NP adds to the novelty of this study.
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Kanchana Dissanayake and Rudrajeet Pal
Used clothes supply chains are becoming increasingly complex, fragmented and less transparent due to rising volumes of discarded clothes and its dispersed reverse logistics…
Abstract
Purpose
Used clothes supply chains are becoming increasingly complex, fragmented and less transparent due to rising volumes of discarded clothes and its dispersed reverse logistics operations across the Global North (GN) and Global South (GS). While it has a promising impact on circular economy and international trade growth, increasing exports of used clothes and overflowing landfills raise some negative concerns on its overall sustainability. This paper addresses the dichotomy that exists in terms of interpreting the sustainability credentials of used clothes supply chains.
Design/methodology/approach
A systematic literature review was carried out and 55 articles were examined to identify the triple bottom line (TBL) sustainability impacts of used clothes supply chains. TBL sustainability issues were identified, reflected through the lens of natural resource-based view and interpreted in the form of propositions.
Findings
The paper pinpoints seven TBL sustainability concerns and prescribes three sets of strategic resources required in glocal used clothes supply chains for mitigating these. These are (1) slowing the supply chain by tackling poor quality, overproduction and oversupply issues, (2) improving logistics/supply chain infrastructure and ecosystem collaboration and (2) embedding transparent environmental, social and governance (ESG) measures taken by both value chain actors and regulatory bodies, for embracing system-level sustainable development.
Originality/value
This is one of the first studies to analyse TBL sustainability of glocal north–south used clothes supply chains. The study is unique in terms of its scope and contribution to the sustainable supply chain literature.
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Tseng-Lung Huang, Henry F.L. Chung and Xiang Chen
The purpose of this study is to clarify the role of various levels of modality richness [text-visual, audiovisual and augmented reality interactive technology (ARIT)] on vivid…
Abstract
Purpose
The purpose of this study is to clarify the role of various levels of modality richness [text-visual, audiovisual and augmented reality interactive technology (ARIT)] on vivid memories (visual sensory detailed, emotionally intense, first-person perspective and coherent) and exploratory behavior. To clarify which modality richness online retailers use is more appropriate to create a virtual reality simulation experience to fill a significant gap in the sensory interactive marketing paradigm.
Design/methodology/approach
A task-based laboratory study was conducted to provide users with private try-on space. A total of 429 valid questionnaires were collected, and partial least squares path modeling was adopted to test hypotheses.
Findings
The results indicate that various levels of modality richness (text-visual, audiovisual and ARIT) positively affect vivid memories (visual sensory detailed, emotionally intense, first-person perspective and coherent), and vivid memories successfully induce exploratory behavior.
Practical implications
The study results could also help retailers and brands with clear guidance in designing and creating simulation experience services and choosing the best way to present products. With the results of this research, retailers will also be able to grasp better the critical points of introducing innovative technology into the service experience and then create the benefits of digital economic growth.
Originality/value
Exploring which digital interactive technology online retailers use is more appropriate to create a virtual reality shopping experience to fill a significant gap in the sensory interactive marketing paradigm. Exploring the antecedents of vivid memories in a digital sensory interactive experience contributes to the body schema literature and the script theory. We draw from construal level theory (CLT) to clarify the impact of various levels of modality richness on driving the difference in sensory simulation schema to break through the limited findings of previous studies, namely using CLT to interpret psychological distance.
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Arzu Şen Kılıç, Can Ünal and Ziynet Ondogan
This study establishes the principles and process steps of a new basic trousers pattern using measurements obtained according to the rules of the anthropometric measurement…
Abstract
Purpose
This study establishes the principles and process steps of a new basic trousers pattern using measurements obtained according to the rules of the anthropometric measurement system. The newly developed pattern-making system in this study will be called the “Anthropometric Measurements Based Pattern Making System” (AnMePa). It is aimed at producing trousers that are more fitting to the body, thanks to this pattern-making system.
Design/methodology/approach
In this research, four pattern-making systems used in many parts of the world were compared with the “Anthropometric Measurements Based Pattern Making System” (AnMePa) with regard to the overall appearance and body fit of trousers prepared according to these systems. 10 virtual mannequins (VM) with different adult female body measurements were created, and trousers patterns were prepared for these mannequins. The trousers’ patterns were made and dressed on the mannequins in a 3D virtual dressing system. The body fit of the virtual garments was evaluated by five experts. The scores given by the experts were evaluated using the fuzzy logic method.
Findings
According to the results, it is seen that the new basic trousers pattern developed by utilizing the anthropometric measurement system, AnMePa, provides the best body fit among the basic trousers patterns created according to the other examined pattern-making systems. The combination of 3D virtual dressing and fuzzy logic in the evaluation of garment body fit is considered an innovative method for the future of fashion design and production.
Originality/value
In the developed AnMePa, unlike the existing pattern-making systems, values that can be associated with the body measurements of individuals in a way that could be suitable for each community were used instead of constant values in the pattern-making process. Furthermore, the integration of 3D virtual fitting and fuzzy logic in assessing garment fit is considered a pioneering approach with significant implications for the future landscape of fashion design and production.
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Boyi Li, Miao Tian, Xiaohan Liu, Jun Li, Yun Su and Jiaming Ni
The purpose of this study is to predict the thermal protective performance (TPP) of flame-retardant fabric more economically using machine learning and analyze the factors…
Abstract
Purpose
The purpose of this study is to predict the thermal protective performance (TPP) of flame-retardant fabric more economically using machine learning and analyze the factors affecting the TPP using model visualization.
Design/methodology/approach
A total of 13 machine learning models were trained by collecting 414 datasets of typical flame-retardant fabric from current literature. The optimal performance model was used for feature importance ranking and correlation variable analysis through model visualization.
Findings
Five models with better performance were screened, all of which showed R2 greater than 0.96 and root mean squared error less than 3.0. Heat map results revealed that the TPP of fabrics differed significantly under different types of thermal exposure. The effect of fabric weight was more apparent in the flame or low thermal radiation environment. The increase in fabric weight, fabric thickness, air gap width and relative humidity of the air gap improved the TPP of the fabric.
Practical implications
The findings suggested that the visual analysis method of machine learning can intuitively understand the change trend and range of second-degree burn time under the influence of multiple variables. The established models can be used to predict the TPP of fabrics, providing a reference for researchers to carry out relevant research.
Originality/value
The findings of this study contribute directional insights for optimizing the structure of thermal protective clothing, and introduce innovative perspectives and methodologies for advancing heat transfer modeling in thermal protective clothing.
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Gabriel Bertholdo Vargas, Jefferson de Oliveira Gomes and Rolando Vargas Vallejos
The purpose of this paper is to present a practical data-based framework for the prioritization of investment in manufacturing technologies, methods and tools, and to demonstrate…
Abstract
Purpose
The purpose of this paper is to present a practical data-based framework for the prioritization of investment in manufacturing technologies, methods and tools, and to demonstrate its applicability and practical relevance through two case studies of manufacturing firms of different industrial segments.
Design/methodology/approach
The proposed framework is based on network theory applied on technology adoption. For this, the database of Industry 4.0 maturity assessments of SENAI was used to develop data visualization tools named “Technology Networks”. Thus, this study is descriptive research with correlational design. Besides, the framework was applied in two companies and semi-structured interviews were carried out with domain experts.
Findings
The technology networks highlight the technological adoption patterns of six industrial segments, by considering the answers of 863 Brazilian companies. In general, less sophisticated technologies were positioned in the center of the networks, which facilitates the visualization of adoption paths. Moreover, the networks presented a well-balanced adoption scenario of Industry 4.0 related technologies and lean manufacturing methods and tools.
Research limitations/implications
Since the database was not built under an experimental design, it is not expected to make statistical inferences about the variables. Furthermore, the decision to use an available database prevented the editing or inclusion of technologies. Besides, it is estimated that the technology networks given have few years for obsolescence due to the fast pace of technological development.
Practical implications
The framework is a tool that may be used by practicing manufacturing managers and entrepreneurs for taking assertive decisions regarding the adoption of manufacturing technologies, methods and tools. The proposition of using network theory to support decision making on this topic may lead to further studies, developments and adaptations of the framework.
Originality/value
This paper addresses the topics of lean manufacturing and Industry 4.0 in an unprecedented way, by quantifying the adoption of its technologies, methods and tools and presenting it in network visualizations. The main value of this paper is the comprehensive framework that applies the technology networks for supporting decision making regarding technology adoption.
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Emanuela Conti, Furio Camillo and Tonino Pencarelli
The purpose of the paper is to present an empirical study that examines the impact of digitalization on informative, strategic and operational marketing activities in…
Abstract
Purpose
The purpose of the paper is to present an empirical study that examines the impact of digitalization on informative, strategic and operational marketing activities in manufacturing companies from the entrepreneurial perspective.
Design/methodology/approach
A research project was carried out in 205 Italian manufacturing companies by using the questionnaire method. An exploratory research study was conducted with hierarchical cluster analysis.
Findings
The analysis shows the existence of seven clusters of manufacturing companies that differ by the impact of digitalization on marketing activities from the entrepreneurial perspective. Two clusters have a high positive impact of digitalization, primarily on informative and strategic marketing activities. Two clusters are characterized by a low positive impact of digitalization and three clusters perform an intermediate level of digitalization. Furthermore, these groups of clusters differ in terms of the influence of digitalization on customer value.
Research limitations/implications
The small size of the sample and the geographic origin of the companies imply limited generalizability; further research on the topic is thus recommended.
Practical implications
The study suggests that companies should digitalize many key marketing activities to increase marketing effectiveness and customer value. To achieve high levels of digitalization and thus increase their competitiveness, manufacturing companies should consider the importance of relevant technologies and skills.
Originality/value
By focussing on the impact of digitalization on informative, strategic and operational marketing, which has not yet been empirically investigated, the present study reveals many new elements concerning the marketing process in the digital era from the entrepreneur's point of view.
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