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다기준의사결정 모형을 이용한 전산화된 제조관리시스템의 선정에 관한 연구
정상윤,양대용 한국컴퓨터정보학회 2001 韓國컴퓨터情報學會論文誌 Vol.6 No.1
본 연구는 전산화된 제조관리 시스템의 운영을 위한 관련 소프트웨어의 합리적 선정을 목적으로 한다. 제조관리 시스템의 운용 소프트웨어는 구입비용이 대단히 크고 또한 공장 시스템의 환경에 적용 가능하여야 하기 때문에 자동화 제조관리 시스템의 운용 소프트웨어에 대한 합리적 선정이 생산성과 제조비용의 절감에 있어서 매우 중요하다. 본 연구는 다기준 의사결정모형을 이용한 제조관리 시스템의 운용을 위한 소프트웨어의 합리적 선정에 대한 방법을 제시하고 수치예제에 의해 타당성을 분석하였다. The purpose of this study is the optimal selection for evaluating alternative computerized manufacturing control software packages. The evaluation and analysis of the alternative computerized manufacturing control software packages is based on a model for Multi-Criteria Decision Making(MCDM). The ultimate of MCDM is to take the best choice among the alternatives or to rank them and the procedure depends on the decision maker's subjective judgement. An example is given to illustrate the application of the MCDM model.
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.