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需要가 減少하는 減損性 製品에 대한 在庫 體系의 模型 設定에 관한 硏究
정상윤 동국대학교 대학원 1990 大學院硏究論集-東國大學校 大學院 Vol.20 No.-
In the previous studies on Inventory System for deteriorating items, it is assumed that the demand rate is constant and is independent of time during a period of each cycle. However, the assumption is unrealistic because the demand rate is influenced by the price and time. The purpose of this study is to determine optimal ordering quantity and optimal selling price which maximize profit. In this study, it is assumed that the demand rate is governed by the price and time and that replenishment orders are placed at equal intervals in a finite time horizon. A numerical example is used to illustrate the proposed model. A sensitivity analysis to v(parameter of the deterioration rate function), and α(constant representing the decreasing rate of the demand rate ) is also performed. The results of sensitivity analysis show that the optimal selling price increases gradually when v is increased with fixed α. while the optimal ordering quantity decreases with increasing α and fixed v.
An Exploratory Study on Measuring Brand Image from a Network Perspective
정상윤,장정아,노상규 한국전자거래학회 2020 한국전자거래학회지 Vol.25 No.4
Along with the rapid advance in internet technologies, ubiquitous mobile device usage has enabled consumers to access real-time information and increased interaction with others through various social media. Consumers can now get information more easily when making purchase decisions, and these changes are affecting the brand landscape. In a digitally connected world, brand image is not communicated to the consumers one-sidedly. Rather, with consumers’ growing influence, it is a result of co-creation where consumers have an active role in building brand image. This explains a reality where people no longer purchase products just because they know the brand or because it is a famous brand. However, there has been little discussion on the matter, and many practitioners still rely on the traditional measures of brand indicators. The goal of this research is to present the limitations of traditional definition and measurement of brand and brand image, and propose a more direct and adequate measure that reflects the nature of a connected world. Inspired by the proverb, “A man is known by the company he keeps,” the proposed measurement offers insight to the position of brand (or brand image) through co-purchased product networks. This paper suggests a framework of network analysis that clusters brands of cosmetics by the frequency of other products purchased together. This is done by analyzing product networks of a brand extracted from actual purchase data on Amazon.com. This is a more direct approach, compared to past measures where consumers’ intention or cognitive aspects are examined through survey. The practical implication is that our research attempts to close the gap between brand indicators and actual purchase behavior. From a theoretical standpoint, this paper extends the traditional conceptualization of brand image to a network perspective that reflects the nature of a digitally connected society.