Search results

The purpose of this paper is to examine the individual and joint effects of collative design factors, complexity and novelty, on aesthetic response to apparel products; and whether the influence of these factors is moderated by consumers’ centrality of visual product aesthetics (CVPA).

A mixed factorial experimental design, using women’s tops with design complexity and novelty (high vs low) manipulated orthogonally, was conducted among 260 female participants to test the model and its corresponding hypotheses.

Consumers’ aesthetic response was more positive for high than low complexity and novelty apparel designs. Further, when viewed in combination, high complexity + low novelty and low complexity + high novelty apparel designs were favored over high complexity + high novelty and low complexity + low novelty apparel designs, respectively. High CVPA consumers were more distinguishing than low CVPA consumers with respect to novelty in apparel designs.

This study suggests that firms need to be aware that complexity and novelty are crucial for consumers when judging apparel designs.

This study fills an important knowledge gap in the aesthetics literature by drawing on the processing fluency theory and Wundt curve and considering the joint effect of novelty and complexity, both critical determinants of a product’s marketplace success.

There are numerous design principles that can guide strategic decisions and determine good product design. One principle that has received considerable attention in the literature is the MAYA principle, which suggests that consumers seek a balance of typicality and novelty in products. The purpose of this paper is to test the MAYA principle specific to various categories of apparel. By drawing from the MAYA principle as a two-factor theory, the effects of specific aesthetic properties (i.e. typicality and novelty) of apparel products on consumer response were examined.

An experimental design in three phases was implemented.

Results revealed that typicality is the primary predictor of aesthetic preference relative to pants and jackets, while both typicality and novelty are significant predictors of aesthetic preference relative to shirts, suggesting that the MAYA principle better explains aesthetic preference relative to shirts.

Understanding consumers’ reactions to product design provides potential value for academics as well as practitioners.

Consideration of both aesthetic properties is needed when implementing the MAYA principle in apparel design.

Although studies have examined the MAYA principle relative to consumer products, few have examined how the principle operates relative to apparel products. The definition of a design principle, such as the MAYA principle, assumes that the logic proposed should apply to all types of products. Yet, this empirical study reveals that this is not the case when applied across different apparel categories.

The objective of the research is to characterize various key factors affecting apparel design and product quality.

In the fulfillment of the objective, the Delphi method and a survey questionnaire were used to collect related materials. This was followed by descriptive statistics, reliability, and factor analysis in order to set up the “house of quality” using the method of quality function deployment.

The factors that were found to affect the quality of apparel design were fashion sensitivity, ability of material application, colour sensitivity, fashion trend, fashion market positioning, and management. Fashion style, cloth quality, cutting quality, discount, and personal favourites were the key factors affecting consumers when choosing apparel. Keen observation ability, marketing analysis, and market development were very important for designing and producing high value‐added products.

The survey was conducted in Taiwan, which perhaps limits the usefulness of the findings elsewhere.

The article may assist apparel designers to understand the requirements of consumers of fashion products.

Apparel design rules have been formulated in Taiwan using the method of quality function development to assist apparel designers to improve design quality and production performance.

Mass customization (MC) is one of the changes for the US apparel industry that will provide a competitive advantage and offer products needed by consumers. However, as the points of customization and their extent of customization characterize business models including the process strategies to achieve a successful MC strategy, it is imperative to define the points of customization. The purpose of this research is to investigate and introduce the critical points of customization and their extent for apparel.

An apparel industry survey together with case studies was used to collect information to test and support the hypothesis developed through the comprehensive literature review.

Five critical points of apparel customization are defined. These points and their extents of customization are compared, analyzed and validated. It is suggested that the success and the capability of apparel MC will depend on how effectively a company can combine the defined points of customization and their extent of customization in pre‐production, production and post‐production of the apparel product.

The research findings of points of customization is for an apparel product. However, the concepts may be applied to products in other industries.

The post‐production customization point using current technologies is a popular practice for mass customization. However, to achieve a higher level or extent of customization such as design point of customization, it is essential to use advanced product development, manufacturing and processing technologies.

The points of apparel customization and their extent of customization have not been studied before for the apparel MC domain. These points and extent of customization provide new insights into the mass customized apparel manufacturing and apparel MC business models.

The purpose of this paper is to test an online apparel co-design experience model and to investigate six determinants (perceived ease of use, perceived usefulness, enjoyment, level of personalization, social presence, and attitude towards the co-designed product) of online apparel co-design experience and effects on behavioural intention.

Female college students (n=265) were surveyed after an actual online apparel co-design experience in a computer lab and interactions with other users wherever such arenas were provided. structural equation modelling was used for data analysis.

The findings revealed that subjects’ apparel co-design experience was positively affected by enjoyment, attitude towards the co-designed product, perceived ease of use, and social presence. And behavioural intention towards the mass customization sites was positively affected by subjects’ attitude towards the co-design experience, subjective norm, and enjoyment.

The research makes a unique theoretical contribution by conceptualizing MC 2.0 (MC sites that provide arenas for user interaction) and by incorporating and confirming the significance of both “enjoyment” and “social presence” variables as predictors of online apparel co-design experience.

Apparel product attributes on which consumers place importance may change as a country's economy progresses. Built on Kano's theory, this paper seeks to categorize important apparel attributes in USA (developed country) and India (developing country) and compares the results to predict the pattern of change.

The research involved questionnaire surveys from a sample of 670 college students in two countries: the USA (335) and India (335). Data was collected from a Midwestern university in the USA and from colleges affiliated with a university in southern India.

The attributes assigned to Kano's categories of must‐be, performance, and attractive were found to be different by respondents from the USA and India. For example, “fitting” is classified as a must‐be category for US consumers while it belongs to performance category for Indian consumers. “Brand” was an indifferent category in the USA while it was classified as an attractive category for Indian consumers.

The findings provide US apparel companies with more definitive information on effective marketing strategies for the Indian market and similar developing countries. For example, companies seeking to do business in India must understand that important attributes for Indian consumers will change as the country progresses.

Though previous studies on consumer evaluation of apparel product attributes exist, they failed to examine how important attributes for consumers’ purchase decision changes. This study makes a new contribution to the discipline by providing means to anticipate future important attributes.

This paper follows a previous paper which was published in Volume 5 Number 3 describing how a pattern language focusing on the initial creative phase of the apparel design process can be useful for innovation management. The patterns define the links between marketing and design knowledge, activities, constraints and resources throughout the process to optimise its efficiency, effectiveness, and the market success of its end‐products. Developing the pattern language involved identifying marketing and design components that are crucial in the initial creative phase of apparel design, and setting them into a model indicating their links to each other and to each of the process stages. The model developed provides a generic framework, or archetype, of apparel design creativity, which is presented in its pattern format in this paper. A total of 14 other patterns were developed around this archetype to grasp its dynamics by defining the links that support and articulate its structure, stages and components. The initial working model of the pattern language was distributed to six design experts for input. Their feedback was analysed, synthesised and integrated into a refined and validated version of the pattern language.

The purpose of this study was to explore the determinant factors of the adaptive clothing market for disabled customers and to identify the influential elements in the fashion industry, with the aim of establishing the influential factors that drive the adaptive apparel business in the local market. The study developed a path model of relationships incorporating the disabled consumer background, consumer purchase intention and demand and elements of the fashion industry. This model can be used as a reference for fashion practitioners.

A quantitative approach was adopted for this empirical study. A survey was designed to investigate the connections between the consumer-related and industry-related variables. A set of measurements was developed and validated for the survey. The data were collected from a sample of 175 local wheelchair users, with a response rate of approximately 6.6 per cent. The data were analysed using SmartPLS, and structural equation model analysis was applied to identify the relationships between the variables.

The results of this study demonstrated that consumer purchase intention for adaptive apparel was affected closely by environmental factors, and consumer demand was significantly related to industry aspects including the product complexity and the business operations along with all elements of the industrial practice. The findings also revealed that the disability level was related to the users' purchase intentions, but the financial capability of the disabled consumers did not affect the intention to purchase adaptive clothes products. These results could suggest that economic issues are not the consumer's prior concern when purchasing apparel, but rather the disability condition. Those who demand adaptive apparel require advanced performance levels of product design, technology application and service.

The study originated from the situation that the Hong Kong fashion market lacks an adaptive market specifically for the minority group of disabled consumers. Why such a niche market has not been developed is unclear to the practitioners. It is necessary to investigate from both consumer-related and industry-related factors. Specifically, the research explored the consumer background and industry elements to identify the factors that influence disabled consumers to purchase apparel, in order to inform fashion practitioners who are interested in the niche market of disabled consumers in Hong Kong. It is anticipated that the determinants of adaptive market development can be extended to wider areas of the Chinese or other Asian markets.

US apparel firms have been relatively slow exploring Chinese and Indian apparel markets, despite the countries' tremendous growth potentials. To help US apparel firms successfully enter these promising markets, this study aims to compare evaluative attributes that Chinese and Indian consumers utilize when purchasing denim jeans.

Data were collected in Shanghai, China and Bangalore, India.

The results of the study confirmed that Chinese and Indian consumers ranked attributes differently. Chinese consumers placed the highest importance on price, followed by fitting, brand country of origin, quality, and design, whereas Indian consumers placed importance on fitting, brand country of origin, design, price, and quality, in descending order.

Caution needs to be exercised in generalizing the findings since the data for this study were collected from one city in each country. The study tested the idea that the importance of attributes would be different between Chinese and Indian consumers as their cultures and retail development stages differ. This idea was supported in conjoint analysis.

The findings indicate that a regional approach, assuming that all Asian markets are the same, is inappropriate. Thus, US apparel firms need to pay careful attention to differences in each Asian market.

China and India have been compared frequently in various ways: growth potential, market size, and population. Surprisingly, however, no study has attempted to compare Chinese and Indian consumers' evaluative criteria for apparel products. This is the first empirical study to show the differences between Chinese and Indian consumers in evaluating apparel products.

The purpose of this work was to identify segments of the US teen girl market based on the importance that these consumers assign to various product attributes in the apparel purchase decision process and to characterize these consumer segments in relation to their engagement in fashion and social responsibility.

An online survey was administered to 157 teen girls (14-18 years). The questionnaire included demographic items and measures of the importance of product attributes in the apparel purchase decision, fashion involvement, materialism, charitable/social cause involvement and past socially responsible apparel purchasing behavior. A two-step cluster analysis, employing Ward’s method and k-means clustering, was conducted on each participant’s factor scores on the four dimensions of the product attributes scale.

Three clusters were identified: the Conventionalists (n = 50, 31.8 per cent), the Self-Satisfiers (n = 34, 21.7 per cent) and the Embracers (n = 73, 46.5 per cent). MANOVA revealed differences among the clusters related to fashion involvement, social cause involvement, materialism and past socially responsible apparel purchasing behavior.

Results suggest that teen girls may respond positively to trendy apparel products designed with attention to issues of the environment, labor and/or charitable/social causes, particularly if the products are perceived as esthetically appealing and provide utilitarian value.

This work offers unique insights into teen girls’ apparel consumption behaviors by employing a benefit segmentation approach to explore the role that issues of social responsibility may play in teen girls’ apparel purchase decisions.