Ranking of Product in E-store using WASPAS Method

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引用次数: 10

Abstract

Market segmentation is demographic, psychographic, behavioural and geographic segmentation division size and growth, sect structural attractiveness, and company objectives and resources utilization. Market segment evaluation is: the market will need the number of customers, their income and the type of product you offer. Market segmentation is estimation by looking at the number of people in the segment. Multi-objective optimization on the basis of ratio analysis (MOORA) method is applied to solve some of the market segment evaluation problems. The performance of the reference point approach and full multiplicative MOORA method are also tested for the considered problems. It is observed that all these three methods are very simple to understand, easy to implement and provide almost exact rankings to the market segment alternatives. Degree of concentration, laws and government agency regulations, types of competitor, contribution margins, complexity, growth rate per year and evaluation parameters in segment factors, competition, technological factors, socio-political factors, financial and economic factors. Contribution margins are the first rank whereas the laws and government agency regulations have the lowest rank. In this paper market segment evaluation contribution margins is got the first rank whereas is the laws and government agency regulations is having the lowest rank.
基于WASPAS方法的电子商店产品排序
市场细分是人口统计学、心理学、行为学和地理学的细分,划分规模和增长、教派结构吸引力以及公司目标和资源利用情况。市场细分评估是:市场将需要客户的数量,他们的收入和你提供的产品类型。市场细分是通过观察细分市场中的人数来估计的。应用基于比率分析(MOORA)的多目标优化方法来解决一些细分市场评价问题。针对所考虑的问题,测试了参考点法和全乘法MOORA法的性能。可以观察到,所有这三种方法都非常容易理解,易于实施,并提供几乎准确的市场细分方案排名。集中度,法律和政府机构法规,竞争对手类型,贡献边际,复杂性,每年的增长率和评估参数,细分因素,竞争,技术因素,社会政治因素,金融和经济因素。贡献边际排名第一,而法律和政府机构法规排名最低。在本文中,细分市场评价贡献边际排名第一,而法律和政府机构法规的贡献边际排名最低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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