{"title":"印度数字营销的反馈分析——基于亚马逊的实证研究Flipkart和Snapdeal","authors":"Biswajit Biswas, M. Sanyal, Tuhin Mukherjee","doi":"10.4018/ijom.2021010105","DOIUrl":null,"url":null,"abstract":"In the context of fastest growing Indian online market, the big players like Amazon.in, Flipkart.com, Snapdeal.com, etc. are in a competitive journey to expand their market share. This paper is an attempt in modelling customer feedback for the said e-market players. The paper uses feed forward neural networks with maximum two hidden layers and back propagation kind of supervised learning algorithm. The paper found satisfactory level of success and concludes usefulness of customer feedback for both customers (for purchase decision) and marketers (for product development) points of view. It is a footstep and opens a new research challenge for the post-COVID era of business.","PeriodicalId":308658,"journal":{"name":"Int. J. Online Mark.","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Feedback Analysis for Digital Marketing in India: Empirical Study on Amazon.in, Flipkart, and Snapdeal\",\"authors\":\"Biswajit Biswas, M. Sanyal, Tuhin Mukherjee\",\"doi\":\"10.4018/ijom.2021010105\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the context of fastest growing Indian online market, the big players like Amazon.in, Flipkart.com, Snapdeal.com, etc. are in a competitive journey to expand their market share. This paper is an attempt in modelling customer feedback for the said e-market players. The paper uses feed forward neural networks with maximum two hidden layers and back propagation kind of supervised learning algorithm. The paper found satisfactory level of success and concludes usefulness of customer feedback for both customers (for purchase decision) and marketers (for product development) points of view. It is a footstep and opens a new research challenge for the post-COVID era of business.\",\"PeriodicalId\":308658,\"journal\":{\"name\":\"Int. J. Online Mark.\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Int. J. Online Mark.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/ijom.2021010105\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Online Mark.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/ijom.2021010105","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Feedback Analysis for Digital Marketing in India: Empirical Study on Amazon.in, Flipkart, and Snapdeal
In the context of fastest growing Indian online market, the big players like Amazon.in, Flipkart.com, Snapdeal.com, etc. are in a competitive journey to expand their market share. This paper is an attempt in modelling customer feedback for the said e-market players. The paper uses feed forward neural networks with maximum two hidden layers and back propagation kind of supervised learning algorithm. The paper found satisfactory level of success and concludes usefulness of customer feedback for both customers (for purchase decision) and marketers (for product development) points of view. It is a footstep and opens a new research challenge for the post-COVID era of business.
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