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The purpose of this paper is to determine the influences of consumers’ internal-oriented psychological factors (i.e. self- promotion, need for uniqueness, self-expression and self-monitoring) and external-oriented psychological properties (i.e. social identity and other-directedness) on the perception of customization and the sense of extended-self; further to identify whether the perception of customization and the sense of extended-self lead to purchase intention toward customized apparel products.

Data were collected through an online survey among college students in the USA, generating a valid sample size of 338 participants. Factor analysis and Structural Equation Modeling were utilized to test proposed hypotheses.

The results indicated that need for uniqueness and self-monitoring were significantly related to consumers’ perception of customization and the sense of extended-self, whereas impacts of self-expression and other-directedness were not significant. Furthermore, the results also confirmed that consumers’ perception of customization and the sense of extended-self were positively associated with purchase intention of customized apparel products.

This study investigates consumers’ psychological features that influence consumers’ buying intention of customized apparel products, which is the first attempt. The study results are insightful and beneficial for marketers to construct target consumer segmentation under different cultural and social settings.

The purpose of the study is to reach an in-depth understanding of personalization and its components by developing a comprehensive definition of the concept in fashion. Moreover, it aims to clarify the open debate of the use of the terms personalization and customization.

The Delphi method was utilized for this study in order to collect the opinions of experts. This method is considered appropriate for reaching consensus among experts regarding a topic that is subject to debate.

The study provides a definition of personalization in fashion which is relevant in the current digital context, and it identifies the building components of the concept. By developing a definition of personalization, it also clarifies the meaning of customization in fashion and suggests a possible explanation for the use of the different terminologies among experts.

This study contributes to the personalization and customization debate by providing an expert perspective on the topics specific to the fashion industry and by offering insights into open debates that have limited its advancement. The definition represents an interesting theoretical contribution and offers avenues for further research. Moreover, it can be applied by fashion practitioners to guide the development of personalization strategies.

This paper aims to review the literature on “E-fulfillment” with respect to marketing and operations issues in the current dynamic and complex e-tailing environment and thereby generate significant insights.

This paper is based on a systematic literature review on e-fulfillment focusing on marketing and operations issues therein. This systematic literature review consists of a critical review on e-fulfillment under planning (review question initialisation), searching (literature search), screening (literature evaluation), extraction and synthesis and reporting phases to conceptualise e-fulfillment. A total of 122 research articles have been reviewed to explore e-fulfillment and to develop key constructs and propositions.

This review provides the following three outcomes. First, the varied-fulfillment definitions have been critically reviewed, leading to synthesis, and thereby, an e-fulfillment definition is provided. Further, the variations for e-fulfillment across product types, which have been identified as a key variable for e-fulfillment, have been explored. Second, authors find five e-fulfillment components at the marketing and operations interface: website quality, customisation strategy, distribution strategy, last mile delivery and return management. Continuing with the e-fulfillment interface with marketing, the linkages between e-fulfillment and select post-purchase consumer behaviours measures across different product types have been reviewed. The paper thus with a focus on synthesising e-fulfillment literature from a process perspective emphasises the consumer behaviour metric for measuring e-fulfillment performance.

This study would help academicians, researchers, e-tailers and practitioners to understand e-fulfillment from a process perspective. For the researcher, it presents areas for future research by giving possible research directions in this emerging area. This study also brings out the impact of e-fulfillment according to product type on the post-purchase consumer behaviour measures, which will help e-tailers to link e-fulfillment to consumer behaviour metrics.

The paper classifies the fragmented literature to develop constructs and propositions for e-fulfillment. This is the first kind of study on e-fulfillment process and its impact on select post-purchase consumer behaviour measures across product types.

Social co-creation refers to the process of using social media as a vehicle to carry out customer co-creation engagements. By allowing many customers to contribute to a specific co-creation initiative, social media makes co-creation platforms more efficient. The purpose of this paper is to examine: first, whether usability and information quality, visual appeal and image, interactivity, and web innovativeness, as perceived web site quality dimensions, were related to value equity; second, whether value equity was related to commitment and repurchase loyalty to social co-creation; and third, the moderating effects of aesthetic appreciation and fashion opinion leadership.

The conceptual foundation was based on the Quality-Value-Satisfaction model. Data were collected from US online apparel shoppers (n=691) using a consumer panel via an online survey. Structural equation modeling was employed to test the proposed model and research hypotheses.

Usability and information quality, visual appeal and image, interactivity, and web innovativeness had indirect influences on commitment and repurchase loyalty, mediated by value equity of social co-creation.

This proposed model may provide useful insights for apparel e-retailers to use in order to differentiate their e-strategies and develop successful social co-creation web sites. Furthermore, the proposed strategies will enable apparel e-retailers to fulfill customers’ increasing demand for more interactive and online social shopping experiences that utilize the customer's own creativity.

The purpose of the present study was to improve the fit of women’s bifurcated garments by developing an equation that can predict the crotch length accurately by using a few basic body measurements. This equation could provide a simple mass-customization approach to the design of bifurcated garments.

Demographic characteristics and easy-to-record body measurements available in the size USA database were used to predict the crotch length. Different methodologies including best subset regression, lasso regression and principal components regression were experimented with to identify the most important predictor variables and establish a relationship between the significant predictors and crotch length.

The lasso regression model provided the highest accuracy, required only five body dimensions and dealt with multicollinearity. The preliminary pattern preparation and garment fit tests indicated that by utilizing the proposed equation, patterns of customized garments could be successfully altered to match the crotch length of the customer, thereby, improving the precision and efficiency of the pattern making process.

Crotch length is a crucial measurement as it determines bifurcated garment comfort as well as aesthetic fit. The crotch length is usually estimated arbitrarily based on non-scientific methods while drafting patterns, and this increases the likelihood of dissatisfaction with the fit of the lower-body garments. The present study suggested an algorithm that could predict crotch length with 90.53% accuracy using the body dimensions height, hips, waist height, knee height and arm length.

This study investigated the impacts of the interaction experiential customization (IEC) mode on consumers' information processing fluency and green customization intention (GCI) as well as the moderating effect of consumers' self-construal.

This study conducted an online field experiment, questionnaire study and between-subjects laboratory experiment to test the hypotheses.

It was found that IEC had a significant positive effect on consumers' GCI. Moreover, consumer retrieval processing fluency played a partial mediating role in the relationship between IEC and GCI. In addition, consumers' self-construal moderated the “IEC? Three dimensions of processing fluency” relationships.

The results emphasized the importance of IEC in influencing consumers' consumption intention in a green customization setting and have some practical implications, that is, companies have the opportunity to use appropriate digital choice architecture designs, which can enhance consumer processing fluency when promoting eco-friendly products in the customized consumption process, especially for independent consumers.

This study focused on the customization design on consumers' GCI and explained the mechanism of impact of IEC on improving consumers' processing fluency and GCI in a product customization setting based on the fluency theory. In addition, this study investigated the moderating effect of consumers' self-construal (independent vs interdependent) on their significant different information processing modes for low-carbon choices.

More and more enterprises have realized the importance of business model innovation. However, the model tools for it are still scarce. There is a clear research gap in this academic field. Therefore, the aim of this study is to put forward a visual business model innovation model.

The scientific literature clustering paradigm of grounded theory is used to design business model innovation theory model (BMITM). BMITM and the business model innovation options traced back from 870 labels in the grounded process are integrated into a unified framework to build the business model innovation canvas (BMIC).

BMIC composed of three levels and seven modules is successfully developed. 145 business model innovation options are designed in BMIC. How to use BMIC is explained in detail. Through the analysis of innovation hotspots, the potential business model innovation directions can be found. A new business model of clothing enterprises using 3D printing is innovated with BMIC as an example.

Compared with the previous tools, BMIC owns a clearer business model innovation framework and provides a problem-oriented business model innovation process and mechanism.

BMIC provides a systematic business model innovation solution set and roadmap for business model innovation practitioners.

BMIC, a new tool for business model innovation is put forward for the first time. “Mass Selection Customization-Centralized Manufacturing” designed with BMIC for the clothing enterprises using 3D printing is put forward for the first time.

In response to increasing demand for a fully customized and individualized home environment, mass customization (MC) has been suggested as an effective strategy to fulfill the customer’s customization needs while keeping production cost-effectiveness. However, in current practice, the implementation of the MC in the industrialized housing industry has not achieved an ideal level. Little effort was devoted to customer value generation and achieving lean production in a multi-disciplinary MC environment. In this concern, a highly efficient and flexible production information system is expected to capture accurately the customer’s demand and efficiently perform work planning for encouraging customer involvement and mass efficiency production.

To gain an insight into the development of the MC production information system for the housing industry and to depict the interaction among system modules, this study used a design science research methodology for a case study of customized cabinet production information system development.

A prototype of the production information system was proposed in this paper, supported by three information technologies to facilitate the MC implementation in the millwork manufacturer. A focus group discussion method was carried out for evaluating the system feasibility and the subsequent survey analysis on the virtual reality (VR) interface experiment. The evaluation process results showed that the VR interface is an effective medium for design information communication and encourages customer involvement. Most participants believed that the proposed production information system could generally benefit the MC implementation and improve production efficiency.

This study integrated lean production principles along with building information modelling, VR and discrete-event simulation in the production information system to assist the manufacturer in effectively handling variant product information and enabling quicker reactions in response to diverse customer requirements in housing industries. The coordination among system modules and the managed information flow could be a valuable reference for future MC production system development in housing industries.

This paper aims to propose a conceptual model to examine the effect of an augmented reality (AR)–based product display (vs a picture-based product display) on interactivity, vividness, website quality and consumer responses. In addition, the moderating role of the need for touch (NFT) in the effect of AR on media features is identified.

Hypotheses are tested using a one-factor between-subjects design for both a student sample (Study 1, N = 120) and a nonstudent sample (Study 2, N = 272). Data are analyzed using a series of analyses of variance, multivariate analyses of covariance and structural equation modeling.

Study 1 shows that an AR-based product display generates greater website quality, interactivity and vividness than a picture-based product display. Moreover, an AR-based product display improves interactivity and vividness only for high-NFT consumers; however, no significant difference emerged for low-NFT consumers. Study 2 replicates and extends our findings by identifying the specific processes that consumers go through when evaluating a website.

The current research advances the understanding of how product presentation technologies can attract customers with different haptic orientations and provides practical implications for online retailers interested in improving their customers' e-commerce experience.