1,720,964 research outputs found
Size Recommendations in Online Fashion Retail - Opportunities and Challenges
This paper describes the e-Size project as well as presenting the preliminary results of its exploratory
survey administered to a sample of customers in the attempt to establish whether the integration of a size
recommendation application into a menswear fashion retail website had been successfully achieved by
verifying the size recommendations made by the application. From the preliminary findings, it emerges
that all participants found the size recommendation application easy to use. The majority of participants
received the correct size recommendation from the application, and would be willing to use the application
due to its helpfulness in providing a size recommendation when shopping online. However, users’
personal style and fit preference is an important factor, irrespective of the size that fits them correctly by
integrating additional garment and fit information into the application, retailers can ensure every user
will be able to receive a tailored recommendation that meets both their size and personal style preference
Looking for the perfect fit? Online fashion retail - opportunities and challenges
This paper broadly describes the e-Size project as well as presenting the preliminary results of its first pilot test - an exploratory survey administered to a convenience sample of customers in the attempt to establish whether the integration of a size recommendation application into a menswear fashion retail website had been successfully achieved by verifying the size recommendations made by the application, and to assess the user experience of the application in order to determine its suitability for live user testing on the retailer’s website. From the preliminary findings it emerges that all participants found the size recommendation application easy to use. The majority of participants received the correct size recommendation from the application, and would be willing to use the application due to its helpfulness in providing a size recommendation when shopping online.however, users’ personal style and fit preference is an important factor, irrespective of the size that fits them correctly By integrating additional garment and fit information into the application, retailers can ensure every user will be able to receive a tailored recommendation that meets both their size and personal style preferences
The e-Size project – Intelligent integration of a sizing framework into online fashion retail
The e-Size project – Intelligent integration of a sizing framework into online fashion retail
This paper describes the e-Size project, its objectives, its contribution to specific innovation areas, the methodological approach adopted, as well as presenting the preliminary results of an exploratory survey administered to a convenience sample of customers in the attempt to assess the potential validity of the use of the sizing applications amongst fashion retailers. Our findings illustrate that all of the participants found that the sizing application was helpful because of the size recommendation for online shopping. Most of the participants agreed that the recommended sizes were accurate. They also found the experience to be easy and straightforward. Nonetheless, there is room for improvement
How to use digital technology and fashion metadata to improve the user experience for online fashion retail
This paper describes the e-Size project as well as presenting the preliminary results of its exploratory
survey administered to a sample of customers in the attempt to establish whether the integration of a size
recommendation application into a menswear fashion retail website had been successfully achieved by
verifying the size recommendations made by the application. From the preliminary findings, it emerges
that all participants found the size recommendation application easy to use. The majority of participants
received the correct size recommendation from the application, and would be willing to use the application
due to its helpfulness in providing a size recommendation when shopping online. However, users’
personal style and fit preference is an important factor, irrespective of the size that fits them correctly by
integrating additional garment and fit information into the application, retailers can ensure every user
will be able to receive a tailored recommendation that meets both their size and personal style preference
Enhancing online fashion retail: The quest for the perfect fit
This chapter broadly describes the e-Size project and presents the preliminary results of its first pilot test—an exploratory survey administered to a convenience sample of customers in an attempt to establish whether the integration of a size recommendation application into a menswear fashion retail website was successful by verifying the size recommendations made by the application and to assess the user experience of the application in order to determine its suitability for live user testing on the retailer’s website. From the preliminary findings, it emerges that all participants found the size recommendation application easy to use. The majority of participants received the correct size recommendation from the application and would be willing to use the application due to its helpfulness in providing a size recommendation when shopping online; however, users’ personal style and fit preference are important factors, irrespective of the size that fits them correctly. By integrating additional garment and fit information into the application, retailers can ensure that every user will be able to receive a tailored recommendation that meets both their size and personal style preferences
How to Use Sizing Technology and Fashion Metadata to Improve the User Experience for Online Fashion Retail
This chapter aims to open a dialogue on the importance and influence of sizing technology and fashion metadata on fashion e-commerce, especially the use of body metadata and garment metadata. It describes the e-Size project, its objectives, its contribution to specific innovation areas, the methodological approach adopted, as well as presenting the results of an exploratory survey administered to a convenience sample of customers in the attempt to assess the potential validity of the use of sizing software applications amongst fashion retailers. The chapter consists of six sections. The first section outlines the opportunities and challenges for online fashion retailers, the second and third sections analyze fashion metadata (What & How) and Size Technologies for Online Fashion Retail, the fourth section describes the methodology adopted. While the fifth section highlights the preliminary findings of the research, the final section illustrates the conclusion, their limitations and directions for further research
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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