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首页> 外文期刊>AD-minister >Digital Brands and Web 3.0 Enterprises: Social Network Analysis and Thematic Analysis of User activities and Behavioral Patterns in Online Retailers
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Digital Brands and Web 3.0 Enterprises: Social Network Analysis and Thematic Analysis of User activities and Behavioral Patterns in Online Retailers

机译:数字品牌和Web 3.0企业:在线零售商中的用户活动和行为模式的社交网络分析和主题分析

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Considering the importance of web 3.0 enterprises in online retailing, this article addresses how these enterprises operate in Iranian context. DigiKala, is an online retailer that has been one of the most successful Start-ups in Iran and has gains 85-90% of the online retailers market of the country. This enterprise has started to evolve its value chain to a platform business. On the other hand, twitter as a free social networking microblogging has been one of the most important tools in online market, as customers, especially on digital markets, share their positive and negative comments in regard with their purchase experience. In this research, firstly social network analysis (SNA) method used to understand the relationships and individual nodes in the network. Then, thematic analysis method applied to analyze the sent tweets to achieve users’ behavioral patterns. Using different social media, like twitter, and sharing the feedback is also valid for Digikala as a web 3.0 enterprises. This research studied the network of tweets in a special events namely Black Friday which DigiKala offered considerable discounts for the customers. Some implications of our research are also presented at the end of this article.
机译:考虑到Web 3.0企业在在线零售中的重要性,本文讨论了这些企业在伊朗环境中的运作方式。 DigiKala是一家在线零售商,一直是伊朗最成功的初创企业之一,已赢得该国在线零售商市场的85-90%。该企业已开始将其价值链发展为平台业务。另一方面,作为免费的社交网络微博,twitter一直是在线市场上最重要的工具之一,因为客户(尤其是数字市场上的客户)就购买体验分享了正面和负面的评论。在这项研究中,首先使用社交网络分析(SNA)方法来了解网络中的关系和各个节点。然后,主题分析方法应用于分析发送的推文,以实现用户的行为模式。对于Digikala作为Web 3.0企业来说,使用不同的社交媒体(例如twitter)并共享反馈也有效。这项研究在特殊活动(即黑色星期五)中研究了推文网络,DigiKala为客户提供了可观的折扣。本文的结尾还介绍了我们研究的一些含义。

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