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Article
Publication date: 30 January 2009

So Won Jeong, Ann Marie Fiore, Linda S. Niehm and Frederick O. Lorenz

The purpose of this paper is to examine whether Pine and Gilmore's four experience realms (4Es) are affected by web site features; the 4Es affect consumer emotional…

Abstract

Purpose

The purpose of this paper is to examine whether Pine and Gilmore's four experience realms (4Es) are affected by web site features; the 4Es affect consumer emotional components of pleasure and arousal; and pleasure and arousal lead to enhanced web site patronage intention.

Design/methodology/approach

For the main experiment, two stimulus web sites reflecting high experiential value and low experiential value were developed. Data were collected in a laboratory setting from 196 participants. An analysis of the causal model was conducted using the maximum‐likelihood estimation procedure of Analysis of Moment Structures (AMOS) for hypotheses testing.

Findings

Using AMOS, the results indicated that web site features affected the 4Es and three of the 4Es (entertainment, escapist and esthetic experiences) influenced pleasure and/or arousal. Pleasure, arousal, entertainment, and esthetic experiences had direct effects on web site patronage intention.

Practical implications

The results present an effective way to offer experiential value, which enhances web site patronage intention, to online retailers.

Originality/value

This is the first empirical research to investigate the holistic process of the effects of product presentation on consumer responses towards an apparel web site that there is a clear need for further study.

Details

Internet Research, vol. 19 no. 1
Type: Research Article
ISSN: 1066-2243

Keywords

Content available
Article
Publication date: 7 June 2021

Sheenam Jain and Malin Sundström

Today, customers’ perceived value does not only depend on the products, but also on the services provided by a firm. In e-commerce, it is important to shift the focus…

Abstract

Purpose

Today, customers’ perceived value does not only depend on the products, but also on the services provided by a firm. In e-commerce, it is important to shift the focus beyond the product and discuss the value of personalized services in the context of e-commerce fulfillment. Therefore, the purpose of this paper is twofold: to develop a conceptual framework proposing satisfaction through personalized services as a middle-range theory; and to suggest foundational premises supporting the theoretical framework, which in turn shape middle-range theory within the context of apparel e-commerce fulfillment.

Design/methodology/approach

In this theory-driven paper, the authors apply the scientific circle of enquiry, as it demonstrates the role of theorizing with the help of middle-range theory and empirical evidence and as such provides a methodological scaffolding that connects theory formulation and verification. The authors synthesize literature related to customer perceived value (CPV) and satisfaction, followed by abduction focusing on understanding the empirical domain as it occurred in practice from company cases. The presented case studies are based on semi-structured interviews with three Swedish online retailers within the apparel industry. The theory-driven analysis results in suggestions of foundational premises.

Findings

Based on the theoretical foundations and empirical generalizations, three propositions are suggested. The premises regarding satisfaction through personalized service applied in the domain of apparel e-commerce fulfillment are: to ensure customer satisfaction requires a value co-creation perspective using data during the pre-purchase phase; to ensure customer satisfaction and retention require added-value perspective during the post-purchase phase of the shopping journey; and to ensure satisfaction and convenience require an added-value perspective at the last mile.

Practical implications

The apparel firms lose a substantial amount of revenue because of poor online customer satisfaction, leading to e-commerce not reaching its full potential. To enhance customer value, online retailers need to find a resort in advanced technologies and analytics to address customer satisfaction, and it is suggested that retailers shift their focus beyond the products and find ways to improve personalized service offerings to gain market advantage, improve fulfillment, drive sales and increase CPV.

Originality/value

To consider personalized services as a source for improving e-commerce fulfillment and CPV, the main contribution of this study is conceptual as it presents a theoretical model developed from general theory, middle-range theory and verified with empirical claims.

Details

Research Journal of Textile and Apparel, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1560-6074

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Article
Publication date: 13 May 2019

Jing Sun and Ting Chi

The purpose of this paper is to empirically determine the key factors influencing the US consumers’ intentions to use apparel m-commerce.

Abstract

Purpose

The purpose of this paper is to empirically determine the key factors influencing the US consumers’ intentions to use apparel m-commerce.

Design/methodology/approach

An enhanced consumer’s apparel m-commerce adoption model was developed through integrating the existing e-commerce/m-commerce theories (i.e. theory of reasoned action, Technology acceptance model and diffusion of innovation theory). The investigated factors included nine independent variables – perceived usefulness (PU), perceived ease-of-use, subjective norm (SN), personal innovativeness traits, security and privacy concerns, compatibility, observability, trust and past non-store shopping experience (PE), and five control variables – age, gender, education level, income level and ethnicity. The dependent factor is consumer’s intention to use (IU) apparel m-commerce. The primary data were gathered by an online survey of US consumers via Amazon Mechanical Turk. In total, 317 eligible responses were received. The applied statistical techniques were factor analysis and multiple regression analysis.

Findings

The results show that the US consumer’s IU apparel m-commerce is significantly affected by PU, SN, compatibility and PE and education level. Overall, 67.3 percent of variation in the US consumer’s IU apparel m-commerce is explained by the developed model, which suggests a high explanatory power.

Practical implications

Companies should provide those functions and features on their mobile websites that enable consumers to easily find the products wanted and complete transactions efficiently. Companies should particularly target the consumers with innovativeness traits and/or those having prior non-store shopping experience. Enhancing the trust in m-commerce among the US consumers with higher education level could help companies attract more potential users. Elderly, female or lower income consumers could be the next business opportunities for apparel e-tailers.

Originality/value

As one of the first efforts made to understand the emerging apparel m-commerce phenomenon, this study empirically determined the key factors influencing the US consumer’s IU apparel m-commerce.

Details

International Journal of Clothing Science and Technology, vol. 31 no. 4
Type: Research Article
ISSN: 0955-6222

Keywords

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Article
Publication date: 1 April 2002

Ronald E. Goldsmith and Elizabeth B. Goldsmith

Tests ten hypotheses describing characteristics that distinguish consumers who have purchased apparel online from those who have not. A sample of 263 men and 303 women…

Abstract

Tests ten hypotheses describing characteristics that distinguish consumers who have purchased apparel online from those who have not. A sample of 263 men and 303 women students completed a survey that measured their online and offline buying behavior, attitudes and predispositions. The results showed that the 99 online apparel buyers had more online buying experience in general. Online buyers did not differ from non‐buyers in their belief in how cheap buying online is, in their overall enjoyment of shopping, or in how often they bought clothing by any means. The demographic variables of age, sex and race were unrelated to online apparel buying. A further analysis showed that the online buyers used the Internet more hours per week and were more likely to buy online in the future than non‐buyers. The findings are consistent with previous studies of consumer Internet behavior and with consumer theory and provide guidance for e‐commerce apparel strategies.

Details

Journal of Product & Brand Management, vol. 11 no. 2
Type: Research Article
ISSN: 1061-0421

Keywords

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Article
Publication date: 1 March 2003

Jayoung Choi and Kyu‐Hye Lee

The purpose of this study is to examine first, whether there are differences in risk perception between the USA and Korea, second, whether there are differences in risk…

Abstract

The purpose of this study is to examine first, whether there are differences in risk perception between the USA and Korea, second, whether there are differences in risk perception between apparel purchasers and non‐apparel purchasers across countries, third whether there are differences in the effect of risk factors on purchasing intention between the USA and Korea, and, fourth, whether there are differences in the effect of risk factors on purchasing intention between apparel purchasers and non‐apparel purchasers across countries. The findings suggest that there were differences in consumers’ risk perception between apparel and non‐apparel purchasers across countries. In addition, there are similarities and differences in the relationships between risk perception and purchase intention across countries.

Details

Journal of Fashion Marketing and Management: An International Journal, vol. 7 no. 1
Type: Research Article
ISSN: 1361-2026

Keywords

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Article
Publication date: 2 March 2015

Zhi-Hua Hu, Chen Wei and Xiao-Kun Yu

The purpose of this paper is to study the problem of a routing problem with uncertain try-on service time (VRPUS) for apparel distribution, and to devise solution…

Abstract

Purpose

The purpose of this paper is to study the problem of a routing problem with uncertain try-on service time (VRPUS) for apparel distribution, and to devise solution strategies coping with the uncertainty by an evolutionary algorithm. VRPUS belongs to the category of practical routing models integrated with uncertain service times. However, in the background of apparel distribution, it has distinct features. The try-on service will improve the customer satisfaction by providing experiences to customers; the return cost is saved; the customer loyalty is improved for experiencing face-to-face try-on services. However, the uncertainty of try-on service time makes the apparel distribution process uncertain and incurs additional risk management cost, such that the logistics companies should optimally make decisions on the choice of the service and the service processes.

Design/methodology/approach

This paper devised a mixed-integer programming (MIP) model for the base vehicle routing problem (VRP) and then it is extended to support the solution strategies for uncertain try-on times. A try-on time estimation parameter and a time reservation parameter are used to cope with the uncertain try-on time, and the try-on rejection strategy is applied when the uncertain try-on time is realized at customer and no surplus time can be used for try-on service besides distributing to remainder customers. Due to the computational complexity of VRPUS, an evolutionary algorithm is designed for solving it. These parameters and strategy options are designed for the operational decisions by logistics companies. Finally, a decision support system (DSS) is designed.

Findings

Five experimental scenarios are performed to reveal the impacts of parameters and solution strategies coping with uncertain try-on time on the distribution cost, return cost, and the try-on service failure. The tuning methods are designed to assist the decisions by logistics companies.

Originality/value

A new routing problem is addressed for apparel distribution in fashion industry especially in the context of booming apparel e-commerce, which is a VRP with uncertain try-on service time for apparel distribution; three strategies are developed to cope with the try-on time uncertainty. The proposed method is also a theoretical base for designing a practical DSS for logistics companies to provide try-on service to customers.

Details

International Journal of Clothing Science and Technology, vol. 27 no. 1
Type: Research Article
ISSN: 0955-6222

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Article
Publication date: 11 June 2018

Karan Khurana

One of the oldest civilizations of Africa, Ethiopia is today at the advent of industrialization in various business sectors. Agriculture being a primary source of income…

Abstract

Purpose

One of the oldest civilizations of Africa, Ethiopia is today at the advent of industrialization in various business sectors. Agriculture being a primary source of income (50 per cent of the GDP) is now transforming into more dynamic and new sectors. Textile and apparel is one of the sectors that has received a lot of attention from the government and the objective is to become sourcing destinations of the world. The purpose of the paper is to provide an overview of the current advances to the stakeholders, academia and industry from concept to the consumer. The aim of the paper is to present a transition of advances made in textile and apparel business that the country has made in the past decade and also to examine the potential of the consumer for this country. The consumer in the country is young and brings a lot of novel opportunities for textile and apparel industry.

Design/methodology/approach

This analysis is an empirical journey of the author’s research in academia and textile and apparel industry in Ethiopia.

Findings

This paper establishes a connection between the stakeholders, academia, industry and beneficiaries of this business so that it could become a guideline for future business investors. It also highlights the problems within this sector and provides a clear idea for domestic companies to compete with global competitors in terms of upcoming future business trends.

Originality/value

Presently, in the atmosphere of fashion and textiles, there is air about Ethiopia being the next manufacturing hub of the world in Africa. However, no academic literature is available which summarizes the opportunities and tasks in this industry, and this paper caters to the need of the hour.

Details

Research Journal of Textile and Apparel, vol. 22 no. 3
Type: Research Article
ISSN: 1560-6074

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Article
Publication date: 3 May 2019

Vineet Kaushik and Sanjay Dhir

The purpose of this paper is to study, explore and rank the non-conforming factors in apparels purchased from e-shops.

Abstract

Purpose

The purpose of this paper is to study, explore and rank the non-conforming factors in apparels purchased from e-shops.

Design/methodology/approach

Data were collected by visiting and interacting people in colleges and through the structured online questionnaires (n=222). The exploratory factor analysis was performed using “R” software. Identified factors were ranked using AHP methodology; 12 experts from various fashion institutes participated in identifying the factors.

Findings

Based upon the results of the exploratory study, non-conforming factors such as “visual variation”, “functional inconvenience”, “cloth attribute variation”, “haptic variation”, “aesthetic variation” and “fit variation” were identified. The priority ranking of factors and sub-factors was done.

Research limitations/implications

The sample primarily comprised of the young adult population (19–27 years) and most of them were females (71.6 per cent). There can be other demographic factors. Research is limited to online apparel retailers. Advanced methods of prioritisation can be used.

Practical implications

The paper can be useful to online apparel retailers, vendors and manufacturers to understand the factors that may be important for improving their business.

Originality/value

There is no study that identifies the non-conformance factors related to online apparel retailing.

Details

Journal of Fashion Marketing and Management: An International Journal, vol. 23 no. 2
Type: Research Article
ISSN: 1361-2026

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Article
Publication date: 8 May 2017

Liliana Simões Ribeiro, Paulo Alexandre Oliveira Duarte and Rui Miguel

The purpose of this paper is to apply Mowen’s (2000) meta-theoretical model of motivation and personality (3M) and its hierarchy of traits to deeper understand consumer…

Abstract

Purpose

The purpose of this paper is to apply Mowen’s (2000) meta-theoretical model of motivation and personality (3M) and its hierarchy of traits to deeper understand consumer behaviour towards online purchase of mass-customised apparel products.

Design/methodology/approach

For the current study, the meta-theoretical model of motivation and personality (3M) and its hierarchy of traits proposed by Mowen (2000) were adapted to use in the context of online purchase of mass-customised apparel products. Appropriate and significant constructs and relationships were identified in the four levels of the hierarchy of needs, specifically: one trait in the first level (surface traits), five specific traits in the second level (situational traits), three broader traits in the third level (compound traits), and finally, eight traits in the fourth level (elemental traits).

Findings

This research allowed the identification of pertinent personality traits in the context of online purchase of mass-customised apparel products and the comprehension of the relationships among these constructs using a hierarchical framework.

Originality/value

The originality and value of the current approach is the use of a hierarchical structure of traits to understand the relationship among personality traits in the mass-customisation field, which, to the best of the authors’ knowledge, no study has proposed. Theoretical and methodological contributions to the field derive from the current proposal.

Details

Journal of Fashion Marketing and Management, vol. 21 no. 2
Type: Research Article
ISSN: 1361-2026

Keywords

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Article
Publication date: 29 July 2020

Riju Jakhar, Deepak Verma, Ajay Pal Singh Rathore and Divesh Kumar

Visual merchandising has a direct impact on shopping experience, making it pertinent for the retailers to ensure that their store environment has an effective design. This…

Abstract

Purpose

Visual merchandising has a direct impact on shopping experience, making it pertinent for the retailers to ensure that their store environment has an effective design. This study blends fuzzy numbers and Analytical Hierarchy Process to create a fuzzy evaluation model prioritizing the relative weights of visual merchandising dimensions of online fashion apparel store. This study will help the fashion retailers in creating more engaging and informative online stores leading to subsequent increase in online retail sales.

Design/methodology/approach

Visual merchandising dimensions and sub dimensions used by retailers for online stores were identified through review of literature and discussion with experts. Twenty experts were interviewed and their responses captured. The responses were analyzed using Fuzzy AHP technique resulting in prioritizing the dimensions according to the weight. For testing the stability of the results, sensitivity analysis was conducted.

Findings

Four key dimensions and sixteen sub dimensions were extracted. Weights were calculated using FAHP. “Pictorial Presentation” has the highest weight followed closely by “Product Information” dimension. Amongst the sub-dimensions “Number of Product Images” scored highest followed by “Product Presentation mode”. “Alterable Background” scored the least weight.

Originality/value

Previous studies have identified Online Visual Merchandising dimensions and have also studied the impact of some of these dimensions on consumer buying behavior, but the relative significance has not been determined yet. This study fills the gap.

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