This research compared linear regression and artificial neural network models to identify the most accurate methods of predicting the impact of product cues on consumers’ apparel product evaluations and purchase intentions. The research process and findings are discussed below. Also, we examined the potential effectiveness of the Internet as a strategic tool to (a) build global brand images for...

This research compared linear regression and artificial neural network models to identify the most accurate methods of predicting the impact of product cues on consumers’ apparel product evaluations and purchase intentions. The research process and findings are discussed below. Also, we examined the potential effectiveness of the Internet as a strategic tool to (a) build global brand images for...

This paper proposes an automatic tag assignment approach to various e-commerce products where tag allotment is done solely based on the visual features in the image. It then builds a tag based product retrieval system upon these allotted tags. The explosive growth of e-commerce products being sold online has made manual annotation infeasible. Without such tags it’s impossible for customers to b...

Despite the urgency of protecting environment, unsustainable apparel consumption continues to damage it. We identified some most important consumer concerns (i.e., affordability, social desirability, environment protection) from literature that influence consumers’ sustainable purchase intentions and proposed a conceptual model grounded in Elaboration Likelihood Model test efficacy user-centric...

Fashion, and especially apparel, is the fastest-growing category in online shopping. As consumers requires sensory experience especially for apparel goods for which their appearance matters most, images play a key role not only in conveying crucial information that is hard to express in text, but also in affecting consumer’s attitude and emotion towards the product. However, research related to...

This paper reports initial research findings from on-going longitudinal participatory design studies within a national (Danish) funded project to realize a gesture-controlled ‘Online shopping-for-apparel’ system – A Virtual Dressing Room (VDR). A product that reduces customer purchase returns, reportedly up to 40%, which is a huge burden to the clothing industries as shopping percentile of sale...

The apparel supply chain is a dynamic industry made distinctive by demand uncertainty and the handling of very many Stock Keeping Units (SKUs) during one season, which make it impossible to forecast demand accurately. Hence, apparel brands have to continuously maintain reactivity to the changing trends in consumer fashion tastes through quickly creating new designs that are suitable for all cus...

This paper is concerned with the generation of optimal fit models for use in apparel design. Representative fit models or prototypes are important for defining a meaningful sizing system. However, there is no agreement among apparel manufacturers and each one has their own prototypes and size charts i.e. there is a lack of standard sizes in garments from different apparel manufacturers. We prop...

Contemporary cellular approaches to the development of manufactu ring architectures based upon lean manufacturing concepts are often hindered or prevented by the lack of a smooth regular demand for products. This is frequently the case in apparel manufacturing where demand is erratic because of the high variety of end items and the fickleness of fashion markets. Multi-Channel Manufacturing (MCM...

Fashion has touched every sphere of modern consumers globally. Marketers have realized the immense potential to yield business in this booming segment. In present scenario irrespective of the class Indian consumers are adopting fashionable items quickly and conveniently with the rise in competition. The main purpose of the paper is to focus on recent developmental trends in fashion marketing in...