By Tsan-Ming Choi
This booklet comprises either theoretical effects and alertness instances of analytical modeling established examine relating to the style and fabric enterprise. It responds to demands deeper theoretical foundations as a diffusion of study method in a box that has up to now quite often trusted case experiences and empirical research. even though there are an increasing number of similar courses which hire an analytical strategy in accomplishing theoretical and utilized learn within the model and fabric company, this e-book fills an important hole by means of supplying a complete reference resource that introduces the method and offers cutting-edge findings at the subject. protecting a massive and well-established undefined, Analytical Modeling examine in style Business is a pioneering textual content and crucial analyzing for researchers and practitioners within the type and textiles alike.
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Additional resources for Analytical Modeling Research in Fashion Business
It may be less easy to decide what returns policy should be adopted for products created using mass customization production processes. Finally, in the fashion e-commerce business, a trend towards more liberalized delivery and return conditions has become evident. This trend represents a method of coping with competition inside the industry while simultaneously attracting new consumers from the traditional retail chains. 3 Managing Customer Returns In this section, we will review literature on managing customer returns: the impact of returns policies, handling customer returns, and decisions in the presence of customer returns, with a focus on fashion retailing.
M. Choi of models. Thus, this classiﬁcation does not imply that the world of fashion business operations management analytical modeling research must be purely “black-and-white,” and we have to understand that “gray” does exist. For future research, it is meaningful to compare the steps of the two proposed analytical modeling research methodologies and generate deeper insights. One may also explore whether the two proposed analytical modeling research methodologies are comprehensive enough. Very likely, some further enhancement is possible.
Chu et al. (1998) investigated how an optimal partial refund rate (what customers pay to have the right to return items) can be determined in order to reduce the frequency of fraudulent returns. Hess et al. (1996) proposed using partial refunds to curb returns in online sales. Mass customization has become a competitive strategy that a lot of fashion retailers have adopted. However, there are difﬁculties when dealing with returns and the associated charges for these mass customization products.