HA112 : The evolution of customers’ behavior in product acceptance using Grey Rough set and net promoter score (Case study: E-commerce websites)
Thesis > Central Library of Shahrood University > Industrial Engineering & Management > MSc > 2016
Authors:
Mohammad Ehsan Souri [Author], Reza Sheikh[Supervisor]
Abstarct: Transfer the attitude of consumers through Word of Mouth (WOM) communication is one of the characteristics of virtual networks. Accurate and timely analysis of the factors influencing attitudes and behavior of customers in product acceptance could be a useful tool to help the managers in competitive market. Net Promoter Score (NPS) and Grey Rough set theory (GRST) as a new integrated approach can quickly and accurately detect the attitude of consumers. In this study, the rules of logic and systematic extraction of customer behavior. Moreover, it detects the rules governing customers' behaviors. In this study 407 online customers of Digital, 5040 and Bamilo have been analyzed by the proposed method. baxsed on the results using Rosetta software, six rules have been extracted and identified as the most important factors affecting product acceptance.
Keywords:
#Rough set theory #customers’ behavior #grey system #net promoter score #service quality #product acceptance Link
Keeping place: Central Library of Shahrood University
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