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Browsing by Author "Kang, Keang-Young"

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    Development of an Assortment Planning Model for Fashion Sensitive Products
    Kang, Keang-Young (Virginia Tech, 1999-04-12)
    The purpose of this research is to develop an established assortment-planning model identifying procedures and activities for women's wear retail buyers. This research built three assortment-planning models: (a) a conceptual moddel based on a secondary data analysis, (b) a practical-use model based on interviews using questionnaire and a set of activity cards, (c) the suggested model based on the conncetion analysis of the previous two models. Integrated DEFinition (IDEF) Functional modeling method was used to describe procedures and variables of functional activities of assortment planning and to increase the consistency of a model developing process. The variables of functional activities were determined as input, mechanism, constraint, connection, and output based on IDEF0 diagram format. Other research and pilot interviews confirmed the reliability of methodology. Experts and interviewees validated the three models. The abstract level of the suggested assortment-planning model included following concepts: (a) problem recognition, (b) information search, (c) qualitative evaluation, (d) quantitative evaluation, (e) product selection plan, and (f) plan sales.
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    Perceived risk level on purchase decision making within product specific factors: a comparison between apparel retailers and customers
    Kang, Keang-Young (Virginia Tech, 1995-12-05)
    The purpose of this study was to compare levels of perceived risk between apparel retail buyers and customers to make a purchase decision of women's pantsuit within product specific criteria. The comparison of product risk was identified as product category risk (PCR), product specific risk (PSR), and acceptable risk to want to buy (AR), acceptable risk to need more information (ARI). In this study, the second stage of decision making process, information search and alternative evaluation, was focused on. Structured-in-Person interview is used for retailers, and shopping mall survey was used for customers. T -test was used to compare peR, PSR, AR and ARI upon decision making tasks with twenty four hypothetical situations. Manaova was used for analyzing the influence of decision factors: (a) four designs; (b) six information. There were no difference with: (a) PSR, (b) ARI, (c) the interaction effect of PSR with decision, (d) the interaction effect of brand, (e) the importance of decision criteria, and (f) the choice of best design and best information card. There were difference with: (a) PCR, (b) AR, (c) decision frequency, (d) the interaction effect of PSR with design and information card, (e) the information source, (f) the choice of best item, and (g) the decision rule.