Using Conjoint Analysis to Estimate Customers' Preferences in the Apparel Industry

Le, Thanh Quynh; Kohda, Youji; Huynh, Van–Nam

doi:10.1109/icsssm.2019.8887668

Cited by 3 publications

(2 citation statements)

References 11 publications

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“…Clothing-design elements can be clustered by data mining algorithms for the similarity of clothing products to build a mining model (Zhou et al ., 2021) and prediction model (Alley, 2015) of interest. In terms of detecting consumer attention, some research has adopted methods such as collaborative filtering and hybrid approaches (Ma et al , 2017), analytic hierarchy process (Yufu and Bingyang, 2016), hybrid recommendation algorithm (Jueliang et al , 2018) and conjoint analysis (Le et al , 2019) on textual information of products, etc. With the maturity of sentiment analysis theory and technology, mining user preferences from online comments have also become a popular approach for studying user preferences and interests (Gomez-Andrades et al , 2016; Chen et al , 2020a).…”

Section: Literature Reviewmentioning

confidence: 99%

How to discover consumer attention to design topics of fast fashion: a topic modeling approach

Pan,

Li,

Luo

et al. 2023

JFMM

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PurposeIt is widely known that fast-fashion retailers are struggling to keep up with consumer attention for quick responses within the fashion industry. With the advance of Internet and e-commerce, consumers prefer to purchase online. Online platform information has become an essential source for exploring consumer attention. However, there is often a mismatch between the information provided by retailers and the feedback received from consumers, leading to an imbalance between the supply side and demand side of online information. The purpose of this study is therefore to provide a unified approach to discover consumer attention from the design topic aspect by revealing the information imbalance between supply side and demand side.Design/methodology/approachTo address the issue of online information imbalance and discover consumer attention, this study proposed an approach that focuses on the design topic perspective. The design topic is a collection of design elements that represent a clothing-design feature more comprehensively and accurately compared to a single design element. The proposed approach begins with generating design topics through topic modeling based on online information provided by retailers on e-commerce platforms. Two indicators, influence degree and attention degree, are then used to quantify the intensity of supply information and consumer attention related to design topics. Finally, design topic strategy diagrams are constructed to reveal information imbalance and discover consumer attention.FindingsThe experimental case demonstrates the existence of information imbalance, indicating that the intensity of supply information and consumer attention from the perspective of design topics is not uniform, although both follow the Pareto principle. The results of consumer attention distribution with heavy power-law tails are consistent with current research findings. This further demonstrates that the proposed approach is capable of discovering consumer attention in the design topic strategy diagrams.Practical implicationsThe issue of information imbalance between retailers and consumers poses a challenge in keeping up with customer attention. The proposed approach offers a practical solution by visually identifying the symptoms of information imbalance and discovering consumer attention through design topic strategy diagrams. This approach provides fast-fashion retailers with a valuable reference to seize market opportunities, improve product design and adjust marketing or management strategies.Originality/valueThis study proposes a novel approach to disclose the issue of information imbalance between supply side and demand side and therefore to discover consumer attention from the perspective of design topics. In addition, guidelines for applying the proposed approach for fast-fashion marketing and management are presented.

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Section: Literature Reviewmentioning

confidence: 99%

How to discover consumer attention to design topics of fast fashion: a topic modeling approach

Pan,

Li,

Luo

et al. 2023

JFMM

View full text Add to dashboard Cite

show abstract

“…Previous studies have identified many factors that affect customer preferences in fashion industry. Le et al (2019) showed that design, style, color, form, and price of fashion product are important factors that affect customer preferences. Kwon et al (2020) suggested that the diversity of recommended product has significant effects on customer preferences.…”

Section: Introductionmentioning

confidence: 99%

The influence of halal fashion, lifestyle, and brand image on Gen Z's hijab fashion preferences in Indonesia

Rahman,

Indra

2024

J. Islam. Econ. Lariba

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IntroductionThe hijab is an important part of the daily lives of Muslim women in Indonesia. Several studies have been conducted regarding hijab preferences. However, research focusing on Generation Z is still limited. ObjectivesThis research aims to explain how fashion trends, lifestyle, and brand image influence hijab fashion preferences.MethodThis research uses quantitative research methods. The data collection technique used was a questionnaire for 104 respondents, with the criteria being Muslim women who were hijab consumers aged 11-26. The collected data was analyzed using the SEM-PLS approach.ResultsThe results of this research show that halal fashion, lifestyle, and brand image have a significant influence on hijab fashion preferences. Lifestyle variables have the most dominant influence.ImplicationsThe theoretical implications of this research indicate the need for a holistic approach to understanding Generation Z consumer behavior in the context of hijab fashion.Originality/NoveltyThis research shows the importance of collaboration between the fashion industry, religious institutions, and the government to develop regulations that support the growth of a high-quality hijab fashion industry in accordance with religious values.

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Improving the elicitation of critical customer requirements through an understanding of their sensitivity

Sha

Wang

et al. 2023

Res Eng Design

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Using Conjoint Analysis to Estimate Customers' Preferences in the Apparel Industry

Cited by 3 publications

References 11 publications

How to discover consumer attention to design topics of fast fashion: a topic modeling approach

How to discover consumer attention to design topics of fast fashion: a topic modeling approach

The influence of halal fashion, lifestyle, and brand image on Gen Z's hijab fashion preferences in Indonesia

Improving the elicitation of critical customer requirements through an understanding of their sensitivity

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